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Case study: Jamaica
Impact of climate change on Jamaican hotel industry supply chains and on farmer’s livelihoods
Authors: A. Eitzinger, P. Läderach, A. Benedikter, J. Gordon A. Quiroga, A. Pantoja, C. Bunn,
International Center for Tropical Agriculture (CIAT), Managua, Nicaragua and Cali, Colombia
Cali, Colombia, July 2011
2
1 Table of Contents
1. Summary and main findings ................................................................................................................. 8
2. Background ........................................................................................................................................... 9
2.1 Introduction of the research area ................................................................................................. 9
2.2 Introduction of "the case" .......................................................................................................... 10
2.3 Rationale for targeting the hotel industry .................................................................................. 10
2.4 General problems of the people in the area ............................................................................... 10
2.5 Introduction of supply chain ....................................................................................................... 11
2.6 New concept: i.e. JAMAI ............................................................................................................. 11
2.7 Challenges in general and for the "new concept” limits of JAMAI ............................................. 11
3. Challenges ........................................................................................................................................... 12
3.1 Impact of Climate Change on Agriculture ................................................................................... 12
3.2 Climate Change in Jamaica.......................................................................................................... 12
3.3 Weather changes ........................................................................................................................ 12
4. Our methodology ................................................................................................................................ 13
5. Assessment of observed changes and farmer’s perceptions ............................................................. 13
5.1 Results from focal workshops ..................................................................................................... 13
Farmers perception of historical climate ............................................................................................ 13 Farmers perception of natural capital ................................................................................................ 14 Farmers perception of physical capital ............................................................................................... 14 Farmers perception of human capital ................................................................................................ 15
5.2 Examples of farmer’s comments ................................................................................................ 15
Farmers Comments from Manchester................................................................................................ 15 Farmer Comment from St. Elizabeth .................................................................................................. 16 Farmer Comment from Douglas Castle .............................................................................................. 17 Farmer Comment from St. Mary ........................................................................................................ 17 Farmer Comment from Manchester ................................................................................................... 17
6. Climate change predictions for 2030 & 2050 ..................................................................................... 19
6.1 The summary climate characteristics for 2030 and 2050 ........................................................... 19
General climatic characteristics .......................................................................................................... 19 Extreme conditions ............................................................................................................................. 20 Climate Seasonality ............................................................................................................................. 20 Variability between models ................................................................................................................ 20
6.2 Regional changes in the mean annual precipitation (2030) ....................................................... 20
6.3 Regional changes in the mean annual temperature (2030) ....................................................... 21
3
6.4 Regional changes in the mean annual temperature (2050) ....................................................... 22
6.5 Coefficient of variation of climate variables ............................................................................... 22
7. Exposure of most important crops to climate change ....................................................................... 23
7.1 Measure of agreement of models predicted changes ................................................................ 24
7.2 Banana ........................................................................................................................................ 25
Current suitability ............................................................................................................................... 25 Suitability for Banana by 2030 ............................................................................................................ 25 Suitability for Banana by 2050 ............................................................................................................ 26 Change in suitability by 2030 .............................................................................................................. 26 Change in suitability by 2050 .............................................................................................................. 26
7.3 Ginger .......................................................................................................................................... 27
Current suitability ............................................................................................................................... 27 Suitability for Ginger by 2030 ............................................................................................................. 27 Suitability for Ginger by 2050 ............................................................................................................. 28 Change in suitability by 2030 .............................................................................................................. 28 Change in suitability by 2050 .............................................................................................................. 28
7.4 Tomato (Salad) ............................................................................................................................ 29
Current suitability ............................................................................................................................... 29 Suitability for Tomato (Salad) by 2030 ............................................................................................... 30 Suitability for Tomato (Salad) by 2050 ............................................................................................... 30 Change in suitability by 2030 .............................................................................................................. 30 Change in suitability by 2050 .............................................................................................................. 31
8. Availability and restrictions for agricultural production ..................................................................... 31
8.1 Land use ...................................................................................................................................... 32
8.2 Access .......................................................................................................................................... 32
8.3 Protection ................................................................................................................................... 33
8.4 Combined restrictions for agricultural production ..................................................................... 33
9. Vulnerability of farmer’s livelihoods to climate change ..................................................................... 35
9.1 Vulnerability Index ...................................................................................................................... 35
10. Sensitivity & adaptive capacity of Jamaican farmers to climate change ........................................ 37
10.1 Capital stock analysis .................................................................................................................. 37
10.2 Cluster analysis............................................................................................................................ 38
10.3 Site-specific vulnerability ............................................................................................................ 39
11. Estimated Carbon Footprint ........................................................................................................... 40
11.1 Tomato ........................................................................................................................................ 40
11.2 Lettuce ........................................................................................................................................ 40
4
12. Strategies to adapt to the changing climate ................................................................................... 41
12.1 Farmer and supply-chain actors suggestions .............................................................................. 41
Group I (institutions) ........................................................................................................................... 41 Group II & III (farmer) ......................................................................................................................... 41 Group I (institutions) ........................................................................................................................... 42 Group II (JAS)....................................................................................................................................... 43 Group I (institutions) ........................................................................................................................... 43 Group II (farmer) ................................................................................................................................. 43 Group III (farmer) ................................................................................................................................ 43
12.2 From research output recommended adaptation strategies ..................................................... 44
Crop production system...................................................................................................................... 44 Community’s vulnerability to climate change .................................................................................... 45
13. Conclusion ....................................................................................................................................... 46
14. References ...................................................................................................................................... 47
5
2 Table de Figures
Figure 1: study area. ..................................................................................................................................... 9
Figure 2: Analytical framework. .................................................................................................................. 13
Figure 3: Farmers perceptions of historical climate trend.......................................................................... 14
Figure 4: Farmers perceptions on natural resources. ................................................................................. 14
Figure 5: Farmers perceptions on physical capital road. ............................................................................ 14
Figure 6: Farmers perceptions on human capital road. .............................................................................. 15
Figure 7: Climate trend summary 2030 and 2050 for Jamaica. .................................................................. 19
Figure 8: Mean annual precipitation change by 2030 for 6 study sites in Jamaica. ................................... 21
Figure 9: Mean annual precipitation change by 2050 for 6 study sites of Jamaica. ................................... 21
Figure 10: Mean annual temperature change by 2030 for 6 study sites of Jamaica. ................................. 22
Figure 11: Mean annual temperature change by 2050 for 6 study sites of Jamaica. ................................. 22
Figure 12: Coefficient of variation for annual precipitation and temperature 2030 and 2050. ................. 22
Figure 13: Measure of agreement of models predicting changes in the same direction as the average of all models at a given location for 2050. ..................................................................................................... 24
Figure 14: Current climate-suitability for Banana. ...................................................................................... 25
Figure 15: Suitability for Banana by 2030. .................................................................................................. 25
Figure 16: Suitability for Banana by 2050. .................................................................................................. 26
Figure 17: Climate-suitability change for Banana by 2030. ........................................................................ 26
Figure 18: Climate-suitability change for Banana by 2050. ........................................................................ 26
Figure 19: Current climate-suitability for Ginger. ....................................................................................... 27
Figure 20: Suitability for Ginger by 2030. ................................................................................................... 27
Figure 21: Suitability for Ginger by 2050. ................................................................................................... 28
Figure 22: Climate-suitability change for Ginger by 2030. ......................................................................... 28
Figure 23: Climate-suitability change for Ginger by 2050. ......................................................................... 28
Figure 24: Current climate-suitability for Tomato. ..................................................................................... 29
Figure 25: Suitability for Tomato (Salad) by 2030....................................................................................... 30
Figure 26: Suitability for Tomato (Salad) by 2050....................................................................................... 30
Figure 27 Climate-suitability change for Tomato (Salad) by 2030. ............................................................. 30
Figure 28: Climate-suitability change for Tomato (Salad) 2050. ................................................................ 31
Figure 29: Availability by land-use. ............................................................................................................. 32
Figure 30: Road access in Jamaica (distance-costs) .................................................................................... 32
Figure 31: Protected areas with buffer-zones in Jamaica. .......................................................................... 33
Figure 32: Combined availability of land-use, access & protected areas in Jamaica.................................. 33
6
Figure 33: Vulnerability Index for 3 case studies ........................................................................................ 35
Figure 34: Exposure compared between 3 case studies ............................................................................. 35
Figure 35: Sensitivity compared between 3 case studies ........................................................................... 36
Figure 36: Adaptive capacitive compared between 3 case studies ............................................................ 36
Figure 37: Expected impact compared between 3 case studies ................................................................. 37
Figure 38: Spider diagram of sensitivity and adaptive capacity ................................................................. 38
Figure 39: Site-specific vulnerability by 2030 ............................................................................................. 39
Figure 40: Site-specific vulnerability by 2050 ............................................................................................. 40
Figure 41: Compared carbon footprint of tomato and lettuce ................................................................... 41
7
3 Table of Tables
Table 1: Table of suitability-change of all examined crops. ........................................................................ 23
Table 2: Table of climate-suitability versus availability of land, numbers in grey are changes in area. ..... 34
8
1. Summary and main findings
This document reports on the results of a
consultancy conducted for Oxfam GB to
systematically address the challenge of climate
change regarding farmers’ livelihoods and
supply chains.
In Jamaica the yearly and monthly rainfall will
decrease and the yearly and monthly minimum
and maximum temperatures will increase
moderately by 2030 and will continue to
increase by progressively 2050. The overall
climate will become more seasonal in terms of
variation throughout the year with temperature
in specific districts increasing by about 1.1 ºC by
2030 and 1.7 ºC by 2050 and more seasonal in
precipitation with the maximum number of
cumulative dry month keeping constant in 3
months.
Calculated crop suitability reports reveal varying
exposure to climate change. Through a
questionnaire we assessed SENSITIVITY and
ADAPTIVE CAPACITY of farmers by indicating
the use of and access to capital assets. Thus,
vulnerabilities were identified.
Vulnerability of small farmer is very high in
Jamaica because of their high sensitivity and
low adaptive capacity in three of five livelihood
assets (human, social and financial capital)
While farmers may build upon physical and
natural capital stock, “soft” assets like training,
organization or finance are severely lacking.
Notably, nearly all produce is marketed through
intermediaries, alternatives are rarely present.
The most vulnerable are characterized by their
remoteness due to an underdeveloped
infrastructure which leaves them entirely self-
dependent. An institutionalized arm’s length
principle along the supply chain is reflected by a
non-traceability of processes which in turn
inhibits organization at farm level and
sustainable financing.
Farmers are working on an individual basis, yet,
while they are willing to engage in communal
organizations, it is not put into practice as
farmer’s expectations of financial benefits are
not fulfilled. On the other hand, small-holder
supporting institutions require a higher level of
integration among the solutions they are
providing.
After analyzing the data and questionnaires we
went back to the farmer and supply-chain actor
and shared with them the results of potential
threats of a changing climate. In a participatory
process we jointly developed adaption
strategies. The three main strategies that supply
chain actors identified to balance the impacts of
Main research findings
Temperature increases by about
1.1 ºC by 2030 and 1.7 ºC by 2050
Rainfall decreases over the year
and the number of cumulative dry
months (draught period) keeps
constant in 3 months.
Vulnerability of small farmer is
very high
Area is facing a geographical shift
of some crops to higher altitudes
High threat on extreme weather
events
Farmer depend on intermediaries
Low human, social & financial
capital of many farmers
9
climate are (i) capacity building, (ii) information
sharing, Legislation and (iii) government policies
and organization building.
2. Background
2.1 Introduction of the research
area
Geography: Jamaica is a tropical island located
at 18˚N and 77˚W with a total land area of
11244km2. It is characterized by diverse
microclimates which makes it highly suitable for
a wide array of tropical crops. For example,
average temperature in the coastal zone ranges
from 22.0˚C to 30.3˚C. In contrast, the interior
mountainous regions experience average
temperature of about 18.9˚C. Similarly, some
mountainous areas, particularly in the eastern
section of the island receive more than 5080
mm (200inches) whilst coastal areas of the
south receives less than 889mm (35) inches
annually. Moreover, in the mountainous areas,
the persistence of clouds result in mean
sunshine averaging less than 6 hours per day in
contrast to the coastal zones where it is close to
8 hours, and cloud coverage is less persistent.
(Meteorological Service of Jamaica, 2011).
Figure 1: study area.
Micro Climate: As a result of these diverse
microclimatic conditions, farmers have long
been able to cultivate diverse crops across the
breadth of the island. For example, in the cool,
moist mountainous areas, that experience
limited sunshine such as the Blue Mountains,
coffee is the main crop grown by local farmers.
In contrast in the relatively warm, dry southern
and south-eastern coastal areas, where close to
8 hours of sunshine is experienced daily, green
vegetables such as lettuce and cabbage and
condiments such as scallion and peppers are
the popular crops.
Diverse Crops: Jamaica is presently
characterized by a dual agricultural system. This
involves large scale plantation style agriculture
existing side by side with small scale agriculture.
The former generally possess relatively large
plots of relative flat lands highly suitable for
mechanized agricultural production and is often
the source of the island’s traditional export
crops of sugar cane, banana and citrus. The
latter, on the other hand, often due to lack of
adequate resources, are forced to cultivate
crops on marginal plots (2-2.5 hectares) of
disjointed lands (Rhiney, 2009). Theses marginal
farm lands are often located in ecologically
sensitive areas, on steep slopes or on other land
that are generally less suitable for farming.
Agriculture currently contributes approximately
7% to Jamaica’s Gross Domestic Product (GDP).
Regardless of its relatively small contribution to
Jamaica´s GDP, the sector absorbs a
disproportionate 18% (over 220, 000 of the
1,239,000 people employed) of the countries
employed labour force (STATIN, 2011) and
provide a source of livelihood for thousands
more who depend on it indirectly. In rural
Jamaica, where agriculture is the main source of
livelihood, 25% of the population lives in
poverty, that’s 5% more than the national
average (CARICOM, 2011).
10
2.2 Introduction of "the case"
Local agriculture in Jamaica, like in other
Caribbean countries has traditionally been
targeted at the export market, which was
bounded by a very limited range of crops
(Rhiney, 2009). Consequently, the local market,
including the local tourism sector has been
largely ignored for a protracted period of time.
This has resulted in the local consumers, having
to resort to overseas suppliers to fill their
needs. Unfortunately, the overseas market
which many Jamaican farmers once depended
on are no longer viable destination for various
reasons, including the erosion of specially
protected markets, trade liberalization and
competition from other sources. This
development has seriously jeopardized the
livelihood of thousands of small farmers who
once depended on these export market for
their sustenance (FAO, 2004). As a result, many
farmers have now had to seek alternative
markets for their produce, including the local
market which they previously ignored.
Here stands another dilemma for the farmers
however. The same issue that confronted the
farmers in the overseas markets is now creating
obstacles for them in Jamaica, i.e., Jamaica is
also an open market subjected to the same
rules of free trade and trade liberalization as
the former markets of these farmers (Rhiney,
2009). As such the farmers have had to
compete with cheaper imports from overseas.
2.3 Rationale for targeting the
hotel industry
Jamaica imported approximately US$661
million worth of food in 2010. According to the
Minister of Agriculture in Jamaica, however, up
to 45% of the food that is imported could be
produced locally (Brown, 2011). In a bid to
overcome the lack of market access for the
farmers, several local and international
organizations have sought to develop a variety
of programs aimed at improving the farmers’
marketability. One of the latest initiatives being
developed is the establishment of a social
intermediary enterprise called JAMAI.
Spearheaded by Oxfam Great Britain, this
initiative will seek to provide farmers with
access to local markets, particularly in the local
hotel industry.
The hotel industry was targeted as a major
market for local agricultural products for
several reasons. Firstly, it is one of the sectors
highly responsible for Jamaica huge volume of
import. As a matter of fact, the largest hotels,
such as the all-inclusive chains that are so
popular with North American visitors, import
over 60% of their food (Pennicook, 2006).
Additionally, in 2011 Jamaica’s travel and
tourism industry is expected to contribute 24%
of Jamaica’s total GDP (WTTC, 2011), making it
the country’s largest earner of foreign exchange
(in contrast to agriculture’s 7%).
2.4 General problems of the
people in the area
Unfortunately, several problems currently
plague the local agricultural industry and will
ultimately thwart the farmers’ efforts to
present themselves as feasible and viable
source of supply of the hotels. Firstly, many of
the large hotels argue that the small farmers
that dominate the local agriculture industry
cannot guarantee a stable supply, quality or
price (McBain, 2007). The primary reasons for
these shortfalls are: the small size of production
units which does not facilitate economies of
scale; the high cost of inputs; competition from
11
cheaper food imports; and high level of
vulnerability to natural disasters. Additionally,
the farmers are not very organized and many of
them refuse to operate within a cooperative
that would allow them to overcome most of
these challenges that they face (McBain, 2007).
2.5 Introduction of supply chain
Many of the larger hoteliers lament that a single
small farmer is incapable of supplying any
significant portion of their needs and it is not
economically feasible for them (the hotel) to do
business with numerous small farmers.
Therefore, they prefer to deal with a limited
number individuals or organizations that can
supply them with the bulk volumes that they
require. In order to make themselves more
attractive as a viable alternative to the current
imports, local farmers thus need to have a
central point where produced can be collected,
graded, sorted and distributed to the hotels.
This has been the case in the Nevis where such
a project was established in the 1990s has and
born remarkable fruit for both farmers and
hoteliers (McBain, 2007). Oxfam has also
successfully established a linkage between
farmers and hotels in St. Lucia (Ostertag &
Rhiney, 2010). This has resulted in not only a
more stable and higher income for farmers, but
it has also been successful in supplying hotels
with a steady supply of quality goods. In
Jamaica, both the Super Clubs and Sandals all-
inclusive hotel chains, the two largest hotel
chains in Jamaica, have adopted similar
arrangements with farmers with the aid of the
Jamaica Agricultural Society. This too has
proven to be very beneficial for both the
farmers and the hotels (McBain, 2007)
2.6 New concept: i.e. JAMAI
As a result of the numerous challenges being
confronted by farmers, Oxfam has decide to
establish a social intermediaries to aid local
small scale farmers to overcome their
challenges of market access, particularly in the
hotel and restaurants affiliated with the tourism
industry. This new initiative, spearheaded by
Oxfam, will also provide, among other things,
technical assistance, and access to a wider array
of services that will seek to reduce the farmers’
level of vulnerability to the challenges that they
face. This new intermediary being proposed
will, among other things provide farmers with a
more reliable and secure system of selling their
goods. Additionally JAMAI with assist the
farmers in getting access to training on
sustainable agricultural practice that will
simultaneously improve yield and reduce
negative impacts on the environment. For the
benefit of the hotel industry, JAMAI will also
secure a steady supply of high quality products
at a relatively stable, predetermined price.
2.7 Challenges in general and for
the "new concept” limits of
JAMAI
The success of JAMAI initiative is highly
dependent on a number of socio-economic,
political and environmental factors. JAMAI
anticipates that they will be confronted with a
number of challenges, all of which are
surmountable with the aid of effective
communication between all stakeholders. Some
of these challenges include farmers cultural
preference in selling their goods haphazardly to
the highest bidder, farmers tendencies to shun
away from organized groups and to act
independently and the farmers lack of
education which would make it relatively
12
difficult to communicate with them in an
efficient manner. Many stakeholders that were
interviewed during the research also expressed
concerns that political interference and
victimization may be a major impediment to the
successful implementation of the project.
Another major challenge that is anticipated is
the negative impact that climate change will
continue to have on Jamaica’s small scale
farmers.
3. Challenges
3.1 Impact of Climate Change on
Agriculture
Agriculture systems around the world are
expected to be confronted with a myriad of
challenges as a result of the changing climatic
conditions. Chief among them are heat stress
associated with higher temperature and lower
moisture levels, concentration of rainfall
episodes into fewer days, resulting in higher
frequency of flash flooding and soil erosions
and increased incidence of pests and diseases
and consequently a drop in the yield of major
food crops by as much as a third (Nelson et al.,
2009). Unfortunately, these pending
catastrophes cannot be avoided in the short
term, thus it is imperative that mitigation and
adaptation strategies be implemented to cope
with these new stresses (Burton et al., 2006)
One of the primary aims of modern agricultural
practices is to increase the quantity of food
available to the world population. Ironically,
however, the methods of production currently
utilize is severely compromising the world’s
future food security. Recent research has
revealed that certain agricultural practices have
a substantial role to play in global warming. In
Latin America and the Caribbean, climate
change mitigation is still not considered in
mainstream policy (P. Smith et al., 2007).
3.2 Climate Change in Jamaica
It is strongly believed that small island
developing states (SIDS) such as Jamaica will be
amongst the first and most severely affected by
climate change and global warming (Simpson et
al., 2009). Firstly, simply by virtue of their
geographical location in the lower latitudes,
climate change is expected to have a more
pronounced effect such as extreme heat, longer
and more intense duration of drought and
increased outbreaks of pests and diseases
(Burton et al., 2006) . SIDS, such as the
Caribbean islands are believed to be amongst
the most vulnerable, due to their small size,
concentration of resources along the coast and
limited resources,(Gamble et al., 2010; IIED,
2011; Mimura et al., 2007; Simpson et al.,
2009).
With the continued warming of the planet,
Global Circulation Models (GCM) projects that
there will be an inevitable rise in sea level
globally by 1.5m-2m with a 1.5-2oC rise in
temperature, The Caribbean region, however, is
expected to have sea level rise 25% greater
than the global average (Vermeersen and
Lebrocq, 2004). According to Simpson et al.
(2009) a 1m rise in sea level could result in 2%
loss of agricultural lands, while 6m rise is likely
to have 12% loss in Jamaica. These losses may
be due to direct erosion or contamination of
the agricultural soil via salination.
3.3 Weather changes
Jamaican small scale farmers have long been
plague with numerous natural disasters such as
landslides, floods, hurricanes and droughts
13
(IIED, 2011). Agriculture nonetheless has been
able to thrive with the aid of fairly good
understanding of climatic patterns and the
farmers’ ability to adapt to these relatively
‘small’ changes. Unfortunately, the recent
changes in climatic conditions are too large for
farmers in Jamaica to adapt to. These changes
have substantially reduced farmers’ ability to
strategize their operations, making them
increasing vulnerable to the increasingly
unpredictable and unfavorable climatic events.
According to the International Food Policy
Research Institute (IFPRI), in a 2009 report,
climate change is very likely to cause a decline
in yields of the most important crops in
developing countries, ultimately resulting in an
increase in food prices (Nelson et al., 2009). This
development is bound to have detrimental
effects on local farmers’ livelihood as they
already lacked the technical, physical and
financial support that would allow them to cope
with the different types of stresses exerted on
them (Gamble et al., 2010)
4. Our methodology
Figure 2: Analytical framework.
We base our research on the commonly used
definition of vulnerability of the third
assessment report (IPCC 2001) as outlined in
the Working Group II report (McCarthy et al.
2001) in combination with the sustainable rural
livelihood framework of Scoones (1998).
Reviewing the state of the art of climate change
vulnerability research Hinkel (2011) found that
this approach is appropriate to identify
vulnerable peoples, communities and regions
when applied to narrowly defined local systems.
Read full text of our methodology in chapter 2
of the “Methodology” document.
5. Assessment of observed changes
and farmer’s perceptions
5.1 Results from focal workshops
To obtain farmers perceptions about climate
and its changes they observed during the last
decades we organized participatory workshops.
This workshop utilizes facilitators to guide the
discussion of a group of farmers to unearth the
necessary information. The entire discussions
took place with the aid of charts and the
farmers were asked to use beans and simple
signs to indicate the magnitude, volume,
frequency or intensity of specific variables.
See more details on the procedure in chapter 4
of the “Methodology report”.
Farmers perception of historical climate
One of the first exercises that were done
involved asking the farmers to illustrate
historical climatic change by assessing
favorability of rainfall, temperature and wind
over the years. With the aid of beans, the level
of favorability ascertained by indicating how
“good” or “bad” these climatic events generally
affected the production systems. Figure 3
shows high variability between years and
14
highlight how hurricanes, accompanied by
heavy rain periods caused crop failure in all
communities in the region.
Figure 3: Farmers perceptions of historical climate trend.
Farmers perception of natural capital
There was a general consensus amongst most
of the research sites that the quality of forests,
rivers and soils has declined over the past 20
years (Figure 4). Farmers expressed concern
that the very resources that they are so highly
dependent on, have been depleted to varying
degrees and is likely to get worst with the onset
of climate change.
Figure 4: Farmers perceptions on natural resources.
Farmers perception of physical capital
Figure 5: Farmers perceptions on physical capital road.
15
At first glance it would seems that distance to
markets and road access would not be a
problem on a small island like Jamaica. This is
this true for the better maintained northern
coastline. As this is the tourist area, the
government gives more attention to keep these
roads well maintained. Once you venture
towards interior areas of the island, the roads
become increasingly deplorable and in some
areas to the south of the island, the road
situation is extremely bad. In areas such as
Douglas Castle or Tangle River, the roads were
so bad that farmers claimed that intermediaries
have been coming less frequently to buy their
products because of the roads. Additionally,
they lamented that short distances of few
kilometers may take you few hours to get to
your destination (Figure 5).
Farmers perception of human capital
Figure 6: Farmers perceptions on human capital road.
During the workshops many farmers highlighted
in the discussion, that education is very
important for them and it is not related to social
status. Thus, it is normal in Jamaica for a small
farmer and his family to have the same
education level as the richer medium or large
scaled farmer, because they have the ability to
send their children a university.
Nonetheless, the fact remains that many small
farmers remain in farming, because they would
not be able to get another job because of their
age lack of professional qualification. During
questionnaire interviews we often found that,
that smallholder farmers are elderly people,
without high education level and depend on the
economical support of their abroad children,
who are studying in Kingston or even live in the
US. Actually on the family capital we didn’t get a
clear respond during the workshops, it seems
that Jamaican farmer tend to live and work
individually (Figure 6).
5.2 Examples of farmer’s
comments
During the field work many farmer told us their
personal stories and what kind of problems they
are facing in their daily business, most of them
are climate related. The following comments
shows facts and situations from different
regions.
Farmers Comments from Manchester
“Since last year a new disease is affecting the ginger, this year already 25% of farmers stopped cultivating their fields”
16
Ginger farmer, Jamaica, Manchester, Lower Christiana, 2010.
Jamaica used to have its own variety of ginger,
which was a smaller tuber but adapted very
well on local soil and climate conditions. Around
20 years ago a variety from China was
introduced, because the yield is higher than the
local variety. The disease currently affecting
ginger is only affecting the ginger from China,
the original Jamaican ginger is not affected.
“I call it the Ginger valley, best conditions for Ginger in Jamaica, this year I started producing in Greenhouse to protect against diseases; but costs are high”
Ginger farmer, Jamaica, Clarendon, Top Alston, 2010.
Early adopters are always trying out new
technologies and many ‘trial and errors’ to learn
have been done on Jamaican greenhouse
farming. Advantages are clear: controlled micro
climatic characteristics, pest exclusion and
accurately measured nutrition intake ends up
into higher yield. Disadvantages are higher
production costs, investment is needed to start,
experience and knowledge not to fail and
threats through hurricanes have to be
calculated.
Temperature inside a greenhouse is
approximately 3 °C higher than outside, that
fore greenhouse are found more up on the
mountains in Jamaica, but even cooling systems
powered by renewable energies like solar
panels were tested and could be implemented,
but would hardly work for a large scale farming
at the moment.
Farmer Comment from St. Elizabeth
“In the past we installed irrigation systems, but when there is drought, there is still not enough water”
Farmers co-operation, Jamaica, St. Elizabeth, Beacon, 2010.
In this drought-stricken area, there is even a
sophisticated pipe system with planned water
supply to several communities to assure food
security for Jamaica, because the parish St.
Elizabeth provides a large part of Jamaican’s
fresh vegetables and fruits. Unfortunately,
however this is not always sufficient, especially
in El Nino years when drought-like conditions
17
are exacerbated and the farmers lack the
necessary resources to adapt.
Farmer Comment from Douglas Castle
“Input costs for vegetable production are very high, this year a heavy rain destroyed all my lettuce in just 3 days”
Young farmer, Jamaica, St. Ann, Douglas Castle, 2010.
Douglas castle used to be a vegetable supplier
of the hotel industry on the northern coast.
Climate variability is treating them hard and
road access has also become also a big problem,
and fewer intermediaries come by to pick up
their products. Additionally, their investments
to meet the high standards force them to
increase inputs in order to optimize harvested
output.
Farmer Comment from St. Mary
“Recently we started with a greenhouse for hot-pepper seedlings to protect against excess rainfall & insects”
Farm co-operation, Jamaica, St. Mary, Fort George, 2010.
Greenhouse farming is a good way to nurse
seedlings during the first growth. In Fort Jorge
farmers have founded a cooperative and they
are renting land together to supply the close
hotel industry.
“We have no transportation, the road is bad, a lot of holes, if higglers (intermediaries) are not coming, we leave it on the field”
Farmer, Jamaica, St. James, Summervile, 2010.
Farmer told us repeatedly that they leave their
produce to rot in the field, because nobody
came by to purchase them.
Furthermore, they don’t have their own transport facilities. Thus, when road access gets worse, even less intermediaries come to purchase their produce and eventually, even productive lands can get unused as there is no means to get the produce to the market.
Farmer Comment from Manchester
“I work only by myself. I don’t know how much I spend on farm-inputs. I just sell when higglers
18
come by”
Farmer in a Mini-market, Jamaica, Manchester,
Lower Christiana, 2010.
Unfortunately, some farmer think like this and
they are not much willing to work together with
other farmer, even when that could be an
advantage to be not so much dependent from
intermediaries.
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6. Climate change predictions for 2030 & 2050
In order to predict climate change we used historical climate data from www.worldclim.org database
(Hijmans et al., 2005) as current climate. Variables included are monthly total precipitation, and monthly
mean, minimum and maximum temperature. To generate the future climate we downloaded and
downscaled Global Circulation Model (GCM) data from the Intergovernmental Panel on Climate Change
(IPCC) Fourth Assessment Report.
See detailed information (“current climate”, “Future climate”) in chapter 3 of Methodology-document.
6.1 The summary climate characteristics for 2030 and 2050
Figure 7: Climate trend summary 2030 and 2050 for Jamaica.
Results are based on 19 GCM Models from the 4th IPCC assessment (2007), A2 scenario (business as
usual)
General climatic characteristics
• The rainfall decreases from 1846 millimeters to 1763 millimeters in 2050 passing through
1787 in 2030
20
• Temperatures increase and the average increase is 1.7 ºC passing through an increment of
1.1 ºC in 2030
• The mean daily temperature range increases from 7.2 ºC to 7.3 ºC in 2050
• The maximum number of cumulative dry months keeps constant in 3 months
Extreme conditions
• The maximum temperature of the year increases from 29.1 ºC to 30.9 ºC while the warmest
quarter gets hotter by 1.7 ºC in 2050
• The minimum temperature of the year increases from 18.7 ºC to 20.3 ºC while the coldest
quarter gets hotter by 1.6 ºC in 2050
• The wettest month keeps constant with 298 millimeters, while the wettest quarter gets
drier by 18 mm in 2050
• The driest month gets drier with 58 millimeters instead of 62 millimeters while the driest
quarter gets drier by 9 mm in 2050
Climate Seasonality
• Overall this climate becomes more seasonal in terms of variability through the year in
temperature and more seasonal in precipitation
Variability between models
• The coefficient of variation of temperature predictions between models is 1.4%
• Temperature predictions were uniform between models and thus no outliers were detected
• The coefficient of variation of precipitation predictions between models is 6.2%
• Precipitation predictions were uniform between models and thus no outliers were detected
6.2 Regional changes in the mean annual precipitation (2030)
21
Figure 8: Mean annual precipitation change by 2030 for 6 study sites in Jamaica.
The edges of the boxes indicate the mean maximum and mean minimum values and the ends of the line
the maximum and minimum values. The mean maximum and mean minimum values are defined by the
mean + or – the standard deviation.
The mean annual precipitation decreases in 2030 on average by 59 mm and in 2050 by 79 mm. In 2030
Dumfries will have larger decrease in precipitation than others (Figure 8) and in 2050 Douglas Castle
(Figure 9). We observed the smallest decrease in precipitation for 2030 in Beacon and Tangle River and
for 2050 in Dumfries.
Figure 9: Mean annual precipitation change by 2050 for 6 study sites of Jamaica.
6.3 Regional changes in the mean annual temperature (2030)
22
Figure 10: Mean annual temperature change by 2030 for 6 study sites of Jamaica.
The mean annual temperature will increase progressively. The increase by 2050 is between 1.6 and 1.7
ºC (Figures 11) and for 2030 between 1 and 1.1 ºC (Figures 10).
6.4 Regional changes in the mean annual temperature (2050)
Figure 11: Mean annual temperature change by 2050 for 6 study sites of Jamaica.
6.5 Coefficient of variation of climate variables
CV precipitation 2030 CV precipitation 2050 CV temperature 2030 CV temperature 2050
Figure 12: Coefficient of variation for annual precipitation and temperature 2030 and 2050.
The coefficient of variation (CV) for 2030 and 2050 climate variables ranges between 0 and 20%, and
may therefore be accepted as reliable (Figure 12).
23
7. Exposure of most important crops to climate change
What means exposure to climate change?
To determine Exposure to climate change we used most identified crops from the focal group
workshops and undertake a participatory analysis of the current and future biophysical suitability of
crops under a changing climate. We use a mechanistic model based on the Ecocrop database (FAO, 1998
available at http://ecocrop.fao.org/ecocrop/srv/en/home) to spatially predict crop suitability without
having prior knowledge or data available. The model essentially uses minimum, maximum, and mean
monthly temperatures, and total monthly rainfall to determine a suitability index.
See more detailed description in the Methodology report on chapter 3.
Table 1: Table of suitability-change of all examined crops.
Table 1 shows results of 14 crops and their climate suitability. Models indicate for most crops values of
suitability between 80 and 100 which means excellent growing conditions on current climate data. For
2030 predictions shows suitability values between 60 and 80. Suitability is still very good and keeps
excellent for banana, cucumber, sweet potato (low), tomato (low) and zucchini. For 2050 suitability is
predicted with ongoing decline and cabbage, carrot, irish potato, orange and yellow sweet potato (high)
end up between 40 and 60, which indicates at least as suitable. Values below 40 on climate-suitability
Exposure to climate change
Exposure is the character, magnitude and rate of climate change and variation.
24
e.g. ginger end up in marginal conditions for crop development and would not be with sufficient
productivity. The right two columns show change in suitability as de anomaly between future and
current crop suitability. Most affected crops are cabbage, carrot, ginger, sweet potato (high) and tomato
(high) with 25% up to 47% declining climate suitability.
7.1 Measure of agreement of models predicted changes
Figure 13: Measure of agreement of models predicting changes in the same direction as the average of all models at a given location for 2050.
The Measure of agreement of models predicting changes in the same direction as the average of all
models at a given location is generally high (Figure 13).
In the following section we present a more the detailed analysis of the three crops of highest interest.
Find maps of all crops on data collection disk!
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7.2 Banana
Current suitability
Figure 14: Current climate-suitability for Banana.
Currently, the main banana production areas are located in lower regions and coastal areas (Figure 14).
According to the Ecocrop model, the most climate-suitable areas for banana cultivation are
concentrated in the western section of the island, south western, south central. There are also excellent
climatically suitable areas in the north western section of the island, with a narrow strip along the north
coast connecting the equally suitable eastern end of the island.
Suitability for Banana by 2030
Figure 15: Suitability for Banana by 2030.
26
Suitability for Banana by 2050
Figure 16: Suitability for Banana by 2050.
Change in suitability by 2030
Figure 17: Climate-suitability change for Banana by 2030.
Change in suitability by 2050
Figure 18: Climate-suitability change for Banana by 2050.
27
By 2030, there will be slight increase in overall climate suitability of banana with more inland (Figure 15),
mountainous region gaining suitability of approximately 13%. By 2050, there will be significant changes
in overall suitability, with more inland, mountainous region gaining suitability, particularly in the west-
central region (Figure 16). Overall, suitability will increase by approximately 18% from current status by
2050 (Table 1, Figure 18). Along the south-central coastline, however, small areas of less suitable zones
will begin to emerge.
7.3 Ginger
Current suitability
Figure 19: Current climate-suitability for Ginger.
Currently, the main ginger production areas are located close to Christiana, in the Top Alston area.
According to the Ecocrop model, the most climatically suitable areas are concentrated in the interior
regions of the island, mainly in the mountainous zones (Figure 19). With a few minor exceptions, the
coastal zones are almost completely devoid of suitable climate for ginger.
Suitability for Ginger by 2030
Figure 20: Suitability for Ginger by 2030.
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Suitability for Ginger by 2050
Figure 21: Suitability for Ginger by 2050.
Change in suitability by 2030
Figure 22: Climate-suitability change for Ginger by 2030.
Change in suitability by 2050
Figure 23: Climate-suitability change for Ginger by 2050.
29
The climatic suitability of ginger will decline significantly (27%, see Table 1) by 2030, with the declines
expected to be concentrated in the western and eastern interior of the island (Figure 22). Large sections
of the center of the island however improve in suitability by this time, though this was not sufficient to
off-set the overall decline. By 2050, zones barely suitable for the cultivation of ginger increase
dramatically (47%) all over the island, while zones suitable for the cultivation of ginger shrink drastically,
with the main area still remaining in towards the interior, mountainous zone, though with a much
smaller area. Suitability also increases, in small mountainous regions towards the eastern end of the
island (Figure 23).
7.4 Tomato (Salad)
Current suitability
Figure 24: Current climate-suitability for Tomato.
Currently, the main Tomato production areas are located in St. Elizabeth parish. The areas suitable for
the cultivation of tomatoes are the almost exactly same as the areas unsuitable for ginger (Figure 24 and
19). According to the Ecocrop model, the most climatically suitable areas are concentrated towards the
coast and the lower elevation of Jamaica. Suitability tends to decline towards the interior and higher
elevations.
30
Suitability for Tomato (Salad) by 2030
Figure 25: Suitability for Tomato (Salad) by 2030.
Suitability for Tomato (Salad) by 2050
Figure 26: Suitability for Tomato (Salad) by 2050.
Change in suitability by 2030
Figure 27 Climate-suitability change for Tomato (Salad) by 2030.
31
Change in suitability by 2050
Figure 28: Climate-suitability change for Tomato (Salad) 2050.
By 2030, tomato suitable zones expand dramatically (16%, see Table 1), advancing towards higher
altitudes (Figure 27). However most of the highest altitudes remain climatically unsuitable for the crop.
By 2050, tomato suitable zones have continued its expansion towards the interior mountainous regions
and would have increased by 23% overall. However, most of the highest altitudes remain climatically
unsuitable for the crop (Figure 28).
8. Availability and restrictions for agricultural production
In order to highlight the important role of land availability for agricultural production systems we
analyzed as a next step the three main influencing factors for land availability:
Land use
Access (road distance)
Protection
As most important factor for availability of land for agricultural production we analyzed land use (Figure
29) and categorized water bodies and populated areas as not available for agriculture. Areas of currently
covered by forest or perennial crop systems such as coffee are classified as available but needs a land
use change and would be theoretically available. However it is not recommended to clear forest in order
to generate cultivating areas. Remaining areas indicated as white areas available and currently occupied
even as cropland, pastureland and areas with low vegetation or wasteland.
The second factor to determine availability is accessibility or also called distance-costs. We calculated
the distance of each geographical location (each pixel on the map) and its distance to the closest road in
distanced categories; distance accessible < 500m, inconvenient access 500-1000m, costly access >
1000m (see Figure 30). If the distance to the next road is higher, distance costs are also high.
32
Last we used protected areas as barrier for availability for agricultural extension and calculated areas
inside protected areas and within a distance of 2 Kilometers around protected areas (Figure 31).
8.1 Land use
Figure 29: Availability by land-use.
8.2 Access
Figure 30: Road access in Jamaica (distance-costs)
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8.3 Protection
Figure 31: Protected areas with buffer-zones in Jamaica.
8.4 Combined restrictions for agricultural production
Combining the three availability factors we obtain weighted restrictions as result map (Figure 32) and
can further discuss highly favorable land for agricultural production with positive and negative change in
crop suitability as exposed areas to climate change to develop adaptation strategies
Figure 32: Combined availability of land-use, access & protected areas in Jamaica.
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Table 2: Table of climate-suitability versus availability of land, numbers in grey are changes in area.
In Table 2 climate suitability and restrictions to land availability in 1000 hectares are combined. For 2030
and 2050 it can be observed that most of the available land is facing a negative suitability change. With
the exception of corn and tomato, all crops are having their highest suitability lost up to -40 for 2030
and -70 in 2050 in available areas.
The consequence of this fact is, that farmer will tend to extend their production areas to higher
altitudes, most of which is currently occupied by forests and will therefore not contribute to mitigate
further climate change.
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9. Vulnerability of farmer’s
livelihoods to climate change
9.1 Vulnerability Index
To compare vulnerability between regions a
vulnerability index has been constructed. It is a
function of the exposure by the year 2030, the
sensitivity and adaptive capacity, and the
households’ expected impact of climate change.
Vulnerability index = Exposure + Sensitivity +
Adaptive Capacity + Expected Impact
These components together describe the
abstract concept of vulnerability in a
comprehensive way. The data for our index
originates from the suitability modeling exercise
and our sustainable livelihood assessment.
Additionally, we make use of information about
the motivation to adapt (“expected impact”)
that we derived during our household survey.
All 4 variables have equal weights. Data has
been transformed to a 1 to 3 ordinal scale,
where 3 refers to high resilience and 1 to a high
vulnerability. Thus, the index ranges from 4 –
high vulnerability – to 12 – high resilience. For
details on the methodology, please refer to the
accompanying methodology report.
Figure 33: Vulnerability Index for 3 case studies
As can be seen from the box plots overall
vulnerability is highest in Jamaica. This result is
confirmed as statistically significant by Oneway-
Anova and t-Test statistics. While the means
point to a ranking of the countries in terms of
vulnerability, the whiskers make clear that this
is deceptive. Colombia and Jamaica share a
similar range of vulnerability. This means that in
both countries inequality could be an issue.
Even in the vulnerable Jamaica households exist
that are very resilient, although on average
households are as vulnerable as the worst of
ones in Colombia.
See more detailed description in the
Methodology report on chapter 4.
First, we discuss the accumulated result of our
Index, then we present findings on its
components.
Figure 34: Exposure compared between 3 case studies
For the construction of the vulnerability index
the change in suitability has been seperated
into terciles of equal number of cases. The
graph however shows the original values as this
provides additional information. The box plots
show that Jamaica and Colombia exhibit similar
variation in direct climate change impacts, while
Guatemala will experience homogenically a low
36
impact. Differences exist mostly in the means of
Colombia and Guatemala and Jamaica. Here,
Jamaica is clearly the worst affected. This result
is confirmed as significant by Oneway-Anova
and t-Test statistics. In comparison with the
other two regions Jamaica sticks out because of
its comparatively large range of impacts. While
few changes are expected in Guatemala and
even a slightly positive direct impact of climate
change in Colombia is possible, in Jamaica
households predominantly experience a
negative impact on their main cultivars.
Figure 35: Sensitivity compared between 3 case studies
In terms of sensitivity all three countries show
the same range of probability of indirect
impacts. A clear difference only exists in the
means. Colombia shows a higher resilience on
average. This result is confirmed as significant
by Oneway-Anova and t-Test statistics. The
difference in sensitivity between Guatemala
and Jamaica is not significant. In the chapter
that discusses the results of our sustainable
livelihood assessment the reasons for this result
are discussed in more detail (see next section).
Figure 36: Adaptive capacitive compared between 3 case studies
Similar to the results of sensitivity the box plots
and a comparison of means using Anova and
repeated t-Tests show a higher resilience of
Colombia, compared to the other two focus
regions, including Jamaica. Interestingly, the
range of adaptive capacity is nearly the same
for all three countries, such that the difference
can only be observed in the means. No
differences exist between the least prepared
and best prepared households of the three
focus regions. However, weaknesses and
strengths result from different livelihood assets.
In the chapter that discusses the results of our
sustainable livelihood assessment the reasons
are discussed in more detail (see next section).
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Figure 37: Expected impact compared between 3 case studies
The data about expected impacts has been
transformed onto a 1 to 3 scale such that data
falls into terciles of equal size. This results in the
odd shape of the box plots. Jamaica has the
lowest mean with 1.76 compared to Colombia
(2.02) and Guatemala (2.22). Differences in
means are statistically significant between
Jamaica and Guatemala. Also a small effect
exists between Colombia and Jamaica. Thus, it
may be concluded that Jamaica is the least
prepared to climate change when regarding the
motivation to adapt. The respondents in the
survey do not appear to be particularly
concerned about climate change or variability,
nor do they seem to know much about this
phenomenon.
Taking all results together, Jamaica is the worst
off country both in terms of direct impacts and
its capacity and motivation to adapt. The
probability of indirect impacts is just as high as
in Guatemala. The latter is less vulnerable to
climate change than Jamaica because
respondents exhibit a high motivation to adapt
even though this may not be necessary as our
direct impact models suppose. As for our
sustainable livelihood analysis differences
between Guatemala and Jamaica are not
statistically significant, and thus may have
occurred due to chance. On average our
vulnerability index proposes equal capital
access in the two countries. The respective
chapter 9 that discuss the sustainable livelihood
assessment in more detail provide more detail
on individual differences. However, a strategy
to prepare Jamaican farmers to climate change
will, in addition, need to consider the
pronounced heterogeneity of production and
thus difference in direct impacts, as well as the
low awareness of the problem at hand.
10. Sensitivity & adaptive capacity of
Jamaican farmers to climate
change
What is the sensitivity and adaptive capacity of
a System to climate change?
10.1 Capital stock analysis
Difficult credit access
Very low presence of organizations
No access to education of some households
A subgroup of resilient households exists
The spider diagram of the modes of the
different forms of capital separated into
sensitivity and adaptive capacity suggests a
Sensitivity to climate change
Sensitivity is the degree to which a system
is affected, either adversely or
beneficially, by climate variability or
change. The effect may be direct (e.g., a
change in crop yield in response to a
change in the mean, range or variability of
temperature) or indirect (e.g., damages
caused by an increase in the frequency of
coastal flooding due to sea-level rise).
Adaptive capacity
Adaptive capacity (in relation to climate
change impacts), the ability of a system to
adjust to climate change (including
climate variability and extremes), to
moderate potential damages, to take
advantage of opportunities, or to cope
with the consequences.
38
clear result. In this diagram “1” represents a low
vulnerability and “3” a high vulnerability; i.e. a
value of three for adaptive capacity is a high
adaptive capacity, a value of one means a low
adaptive capacity. In contrast, for Sensitivity “3”
stands for a low sensitivity and “1” for a highly
sensitive form of capital.
Figure 38: Spider diagram of sensitivity and adaptive capacity
Given this ranking the diagram suggests that
farmers in Jamaica are sensitive to climate
change for certain forms of capital. Two of the
five forms of capital receive a mode of “3”,
meaning that the most frequent answer has
been such that it fell into the highest category.
The other three capital forms however, reveal a
high sensitivity. In terms of adaptive capacity,
physical capital and natural capital also display a
good adaptive capacity. The three most
sensitive forms of capital, human, social and
financial capital received predominantly low
scores in the survey. Thus, while the physical
and natural capital does not appear to be
vulnerable, all other forms require more
attention.
In many ways the reasons for the low financial
capital are similar to those in that can be found
in Guatemala (see the respective chapter in the
country report Guatemala). Farmers state that
their income is affected by a changing climate
through lower quality and quantity. Credit
design is tolerable but in contrast to Guatemala
hardly accessible for most farmers. This makes
the picture for adaptive capacity worse for
Jamaica, as certification and alternative
technologies are equally inaccessible.
The result for social capital is dominated by the
same determinants as in Guatemala: An
absence of any form of organizations from
many parts of the study area. Unfortunately,
however, even though only a few household
participate in organizations, they still do not
receive services. Thus, sensitivity is high and
adaptive capacity is low.
Human capital is seen to be sensitive as
knowledge about markets is underdeveloped
and most households do not keep records of
their economic activities. The picture for the
other indicators, such as market orientation is
generally mixed. Thus, while resilient household
exist, the vast majority appears to be
unprepared to changes in their economic
environment. At the same time the results for
adaptive capacity hint in a similar direction.
While training is available to some at good
quality, others do not even have access to basic
education. As the majority of indications points
towards a lack of adaptive capacity this is seen
to be low, despite the existence of a subgroup
that has a high human capital.
10.2 Cluster analysis
Cluster analysis over the data from the
questionnaire resulted in three groups in
sensitivity and four in adaptive capacity.
However, 2 of the three groups in sensitivity are
not very distinct. Rather one group sticks out as
very resilient. Therefore here only two groups
39
are presented: the sensitive majority and the
resilient minority. The situation is similar for
adaptive capacity. Rather than distinct groups
the cluster are along a continuum from low
capacity to high adaptive capacity. Therefore
here characteristics of the most vulnerable and
the most prepared households are presented. It
has to be noted though, that the group with
high sensitivity is large compared with the low
sensitivity group. This is not as clearly
distinguishable for adaptive capacity, even
though the majority of households is located at
the vulnerable end of the distribution.
Sensitivity:
– High sensitivity:
No organizations present so that also
no one is a member
Water supply is irregular, of bad quality
and no official authority is in charge of
it
Water is collected from roofs or comes
from a river
Houses are wooden
Management of chemical waste is not
specified
This does not mean that they do not
use chemicals, although this is the case
for some households
No falls in production rate are reported
(bad management?)
– Low sensitivity
Many organizations present
Long term presence
Participation in organizations
Sowing plans developed
Credit access
Training in market systems
Adaptive capacity
– Low adaptive capacity
No activities received of accessible
No education
No training
No assistance
No crop alternatives
Low or no management
– High Adaptive capacity
No travel time to market/water
Member in multiple organizations
Good management
Training received
Certification
Credit access
Own a truck
10.3 Site-specific vulnerability
For the analysis of site specific vulnerability we
employ the IPCC’s standard definition of
vulnerability. It is a function of the exposure as
crop to climate suitability change by the year
2030 or rather 2050, the sensitivity and
adaptive capacity of the farm system.
Vulnerability = Exposure + Sensitivity – Adaptive Capacity
Similar to our Vulnerability Index based analysis
we derive proxies for sensitivity, adaptive
capacity and exposure based on our household
survey data. We mapped results to show which
farmer are highly vulnerable to a changing
climate. (Please note that in order to map
vulnerability we had to change the scale in
comparison to previous chapters).
Figure 39: Site-specific vulnerability by 2030
40
On the horizontal axis Exposure is plotted as
crop to climate suitability change (1 low and -3
high); the vertical axis shows Sensitivity rated
from 0 (low) to 3 (high); the size of the bubbles
indicates the Adaptive Capacity and low
Adaptive Capacity is classified as big size and
high capacity to adapt to a changing climate are
shown as small bubbles. The background color
of the chart shows the vulnerability in traffic
light colors. Red means high vulnerability and
green low. Significant attention must be given
to those big sample points in the upper left red
colored corner; these are those with maximum
Vulnerability to predicted climate change.
Mapped survey sample points show clearly, that
for 2030 the vulnerability of Guatemalan frozen
vegetable farmers is still balanced (Figure 39),
by 2050 the majority of them move towards the
left corner into higher Vulnerability (Figure 40).
Figure 40: Site-specific vulnerability by 2050
11. Estimated Carbon Footprint
The carbon footprint of a product presents the
total sum of all greenhouse gas emissions
caused by a product’s supply-chain expressed in
kg Co2e per kg product. In this chapter the aim
is to calculate a comprehensive carbon dioxide
equivalent footprint for tomato and lettuce.
For more details on the methodology see
chapter 6 of the Methodology report.
During the field work we conducted necessary
data to calculate the on farm carbon footprint
via the Cool Farm Tool. At some point there is
to say, that most farmer in Jamaica are roughly
taking records and reliable data directly from
the farmer are very difficult to collect. In most
cases the interviewer depends on expert
knowledge from technicians of agricultural
development organizations, which gave us an
average application of fertilizer and pesticides,
no information on residue management and
farm management. Most farmer in the region
don’t have own transport and do not use
energy on the field and for primary processing.
11.1 Tomato
It is very difficult to compare results within
tomato production, as for this crop, the
cultivation methods and parameters such as
yields vary widely. Within this report open field
production has been compared to ones
imported from the Netherlands.
11.2 Lettuce
The lettuce carbon footprint results for open
field production are almost equal between the
assessed one and the results obtained from the
literature, which is 0.15 and 0.26 kg CO2e/kg
lettuce respectively. When it comes to
comparison of these two values with UK
greenhouse production, the emissions are 10 to
17 times higher at the primary production
stage.
41
Figure 41: Compared carbon footprint of
tomato and lettuce
More detailed and with other case studies and
crops compared results can be find in the
carbon footprint report from our contributor
Soil & More International.
12. Strategies to adapt to the
changing climate
After analyzing collected data during the first
field work phase we went back to the
communities and presented preliminary results
of their vulnerability to climate change to
farmer and supply-chain actors and asked them
to think about what could be done and what
adaptation strategies they have in mind.
See detailed approach of conducted workshops
in chapter 5 of Methodology report.
12.1 Farmer and supply-chain
actors suggestions
CHRISTIANA WORKSHOP
During the workshop we formed four groups, in
the following section their individual
recommended adaptation strategies are lined
out:
Group I (institutions)
In this group participated producers from the
Christiana Potato Growers association, the
Forestry Department, Jamaica Agriculture
Society (JAS)
At the beginning they started the brainstorming
to collect all ideas that came to mind:
Survey of the community (Farmer population,
Age of farmers & gender, Crops grown, Size of
farm, Terrain, land usage); marketing; disease /
pests; migration of youth; finance (availability &
access); organizations of farmers (groups);
praedial larceny; training – groups approach;
farm inputs vs. costs; pesticides usage; crops &
Livestock; land preparation (method); quality &
quantity of crops; sustainability & viability;
rainfall patterns.
Group II & III (farmer)
Farmer from Manchester parish
Brainstorming results from farmer’s side:
Reap before the hurricane season; have proper
storage tanks for drought period (store crops);
change the planting season (avoid drought); cut
gutters around the plots (take off excess water);
mulching of yam yields; build green houses (to
protect from rain, frost, diseases); rebuild the
soil (animal manure).
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In the second part they compiled 3 main
adaptation strategies out of the collected ideas:
Group I (Institutions)
1. Organization of farmers in groups to
give power (strength), sense of
belonging , unity & cooperation
2. Train and educate farmers through
dissemination of information to
influence behavioral change in best
cultural practices and use of adaptable
technology
3. Quality, quantity and sustainability to
enhance long term productivity &
viability to maintain standards and
practices that are environmentally
friendly
Group II (Farmers from Manchester)
1. Change the planting season according
to crops. Reap before hurricane season
2. Have storage tanks for drought period.
Mulching of crops
3. Rebuild and preserve the soil
Group III (Farmers from Manchester)
1. Financing at organizational level to
invest in tools for the community and
land titles
2. Soil Management: Test soils
(organizations) to better respond to
changing climate conditions
3. Information and training about green
housing to produce all year long (RADA
and others)
3 main strategies from Christiana workshop
Training & education
Organization & financing
Adapting to changing seasons and
extreme weather events & long term
focus on sustainable production
KINGSTON WORKSHOP
Group I (institutions)
Participants: Women's resource & outreach
center, Portland 4-H clubs, Ministry of
Agriculture – forestry department
Brainstorming outcome:
Strengthening of RADA/JAS & NGO’s (capacity
building) – Oxfam; organize farmers; sensitize to
effects of climate change; localized workshops
& trainings; how their actions effects climate
change; benefits of agro-forestry (not cutting
down to cultivate vegetables; legislation (laws,
policies), zoning by government; incentives for
farmers doing land husbandry practices;
irrigation system & water catchments;
greenhouse for vegetables; building structure to
support farm organizations (technology
transfer, marketing, financing, training)
In the second they compiled 3 main adaptation
strategies out of the collected ideas:
1. Structuring & capacity building
(farm organizations, RADA & JAS
supported by Oxfam, Public-Private-
Partnerships (PPP’s) including Hotel
industry, marketing & financing)
2. Training & infrastructure development
(sensitizing, land husbandry practices,
Greenhouse, irrigation & water
catchments)
3. Legislation & Policies
( zoning, incentives for agro-forestry)
43
Group II (JAS)
Different authorities from JAS (Jamaica
Agriculture Society)
Outcome and 3 main strategies:
1. Training and education policy:
Awareness building for training at farm
level; group training; practical
demonstrations of practices, e.g. testing
kits
2. Soil MGMT and farming practices:
Soil analysis (determine nutrition,
suitability for crops); preventing
erosions (contour); crop rotation
3. Government policy:
Monitor and stipulate land usage;
Subsidize e.g. soil testing
3 main strategies from Kingston workshop:
Structuring, capacity building & training
Farming practices & infrastructure
development
Legislation & government policies
MONTEGO BAY WORKSHOP
Group I (institutions)
Participants: Representatives from RADA (Rural
Agricultural Development Authority) & JAS
(Jamaica Agriculture Society).
Outcome and 3 main strategies:
1. Policy: Land tenure system (titles);
enforce marketing system; improve
access to credit; infrastructure
development
2. Org. & capacity building: organization of
farmers, focus on solution of similar
problems; awareness building, identify
problems & solutions; training, better
access + useful assets
3. Adaptable technology: Greenhouse /
protected agriculture (shed-house);
irrigation / rain water harvesting;
mechanization; seed banks / crop
diversification; “renewable farming”
(e.g. biogas, ethanol)
Group II (farmer)
Participants: farmer from the St. James Parish
Outcome and 3 main strategies:
1. Soil management (reduce use of
pesticides & weedicides)
2. Greenhouse for seedlings to protect
against excess rainfall & insects
3. Use different planting practices for
different seasons
Group III (farmer)
Participants: farmer from the St. James Parish
Outcome and 3 main strategies:
1. Educating & information sharing
(preserving the watershed areas, soil
conservation practices)
2. Government needs to develop &
implement a national land policy
(finance access)
3. Wider scope of training and feedback
from the relevant agencies (skill training
especially those at risk, technology
wise)
3 main strategies from Montego bay
workshop:
Governmental policy to facilitate
financing & improve marketing
Implementation of sustainable
technologies & practices
Organization, information sharing &
capacity building
44
12.2 From research output
recommended adaptation
strategies
Crop production system
As main result from analyzing fourteen crops on
their biophysical suitability to predict future
climate conditions can be stated, that average
climate-suitability of most common crop is
slightly declining by 9%. While others decrease
their suitability quite seriously by 2050,
especially gingers, a variety of sweet potato
which is more often grown in higher altitudes,
carrots and cabbage. Others are gaining
suitability, like cucumber, banana, zucchini and
tomato (variety often known as salad).
On farmer’s perceptions, in recent year’s
damages caused by extreme weather events
occurred mostly as a direct consequence or
following hurricanes and have affect their
production. To protect crops from this damage
Agroforestry Systems could play an important
role (CIAT, 2010), as well as natural wind
curtains or moving of production systems for
crops like banana to topographically more
protected inland areas, mainly because they get
more suitable in these areas as well.
As agroforestry system for example, the
Quesungual Slash & Mulch Agroforestry System,
coming originally from the southwestern of
Honduras includes the principles: No slash and
burn; permanent soil cover; Minimal
disturbance of soil; efficient use of fertilizer.
Application of these Quesungual principals can
result in significant benefits for farmer:
increased resilience to extreme natural events;
increase in productivity by improving soil and
water; surpluses of mayor staple foods;
availability of firewood; reduced greenhouse
gas emissions and increased carbon
sequestration; conservation of local
biodiversity.
Additionally to some of recently started
initiatives to manage climate risk caused by
extreme weather events could be given more
attention. For example evacuation container for
agricultural inventory and for saving seedlings,
building shared infrastructure and storage
facilities.
3 main strategies from workshops
Education, training, capacity
building, information sharing,
research
Legislation & government policies,
marketing, financing
Infrastructure development,
organization, sustainable
implementation
45
Community’s vulnerability to climate
change
Presented results in chapter nine shows that
farmers in Jamaica are sensitive to climate
change for certain forms of capital. In many
ways the reasons for the low financial capital is
the fact that their income is affected by a
changing climate through lower quality and
quantity. Credit is hardly accessible for most
farmers and certification and alternative
technologies are equally inaccessible.
The result for social capital is dominated by the
absence of any form of organizations from
many parts of the study area. Therefore only a
few households participate in organizations,
however, they do not receive services from
these organizations. Thus, sensitivity is high and
adaptive capacity low.
Human capital is seen to be sensitive as
knowledge about markets is low and most
households do not keep records of their
economic activities.
Adaptation strategies for impacts on
livelihoods
Funding and accompanying of
community organizations
Training and awareness building
of communities for climate
change.
Building alliance along value-chain
Strengthening of local capacity to
countered with adaptation
strategies
Knowledge sharing and best
practice learning from climate
similar areas.
Adaptation strategies for crop
production systems
Crop variety sampling for
improved climate-suitability
Greenhouses for seedling nursery
Evacuation container to protect
them in an emergency
Diversify crops: e.g.: yam vs.
dasheen
Irrigation system to control water
stress
Small, enclosed farming systems
(greenhouse, water reservoir,
renewable energy) to control
harvest season (glut/shortage)
Alternative crops for highly
exposed crops to climate change
Introduce Agroforestry systems:
e.g. Quesungual System
Low carbon agriculture to
mitigate climate change
46
13. Conclusion
In Jamaica the yearly and monthly rainfall will
decrease and the yearly and monthly minimum
and maximum temperatures will increase by
2030 and will continue to increase progressively
by 2050.
The implications are that the distribution of
suitability within the current production areas
will change and for some crops quite seriously
by 2050.
The biggest threat at the moment is the risk for
damage from extreme weather events like
hurricanes. Initiatives exist to manage these
risks but needs more attention and concrete
actions.
Vulnerability of small farmer is very high in
Jamaica because of their high sensitivity and
low adaptive capacity in three of five livelihood
assets (human, social and financial capital)
There are many possibilities to adapt to a
changing climate. The winners will thus be
those who are willing to adapt to an evolving
climate.
Checklist further actions against
climate change in Jamaica
Choose the best adaptation
strategies against climate
change
Learn to manage the risk
associated with climate
variability.
Implement and adjust
adaptation strategies together
with policy makers
Start mitigating to reduce the
adverse affects of climate
change by reducing emissions
47
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