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The Land-Potential Knowledge System: USAID Webinar October 21, 2014 Jeff Herrick (LandPKS Lead) and Adam Beh (LandPKS Coordinator) Ioana Bouvier (LandPKS USAID Agreement Manager) Innovative Knowledge Systems for Improved Land Management

The Land-Potential Knowledge System

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Page 1: The Land-Potential Knowledge System

The Land-Potential Knowledge System:

USAID Webinar

October 21, 2014

Jeff Herrick (LandPKS Lead) and Adam Beh (LandPKS Coordinator)

Ioana Bouvier (LandPKS USAID Agreement Manager)

Innovative Knowledge Systems for Improved Land Management

Page 2: The Land-Potential Knowledge System

Ioana Bouvier, USAID Agreement Manager

Ioana Bouvier is a Senior Geospatial Analyst in E3’s Land Tenure and Resource Management Office. She has a background in spatial decision support, GIS and remote sensing for international development program design, management and evaluation. Before USAID, Ioana served as the team leader for a geospatial analytic methods team at the National Geospatial-Intelligence Agency (NGA), where she developed quantitative methods for spatio-temporal data analysis, modeling spatial processes and providing geospatial solutions for decision support and improved data management. She previously worked as a geospatial and development specialist for environment, food security and natural resources management international programs. Ioana can be contacted at [email protected]

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Page 3: The Land-Potential Knowledge System

Jeff Herrick, LandPKS Lead

Jeff is a soil scientist with the USDA Agricultural Research Service in Las Cruces, New Mexico and holds adjunct faculty appointments at New Mexico State and Duke University. He serves as an advisor to US government agencies on increasing return on investments in rangeland monitoring and assessment, is a member of the International Resources Panel, and is the US Government’s science representative to the United Nations Convention to Combat Desertification (UNCCD). Jeff can be contacted at [email protected]

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Page 4: The Land-Potential Knowledge System

Adam Beh, LandPKS Coordinator

Adam is a human ecologist with the USDA-ARS Jornada Research Unit in Las Cruces, New Mexico. He holds a PhD in Human Dimensions of Natural Resources from Colorado State University. He has coordinated USAID-funded community conservation and livelihoods programs with Wildlife Conservation Society in South Sudan, and developed mechanisms for collaborative wildlife conservation and sustainable tourism practice in Samburu County, Kenya. He co-founded a grassroots non-profit (Samburu Youth Education Fund), managed by Samburu community leaders and supporting secondary school education for deserving youth in Waso Ward of Samburu County. Adam can be contacted at [email protected]

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Page 5: The Land-Potential Knowledge System

Land Potential

The potential of the land, based on climate, soils, and topography to support:

Agricultural production

Biodiversity conservation

Other ecosystem services

…and to be degradation resistant and resilient

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Page 6: The Land-Potential Knowledge System

Land-Potential Knowledge System (LandPKS)

Use internet and mobile phones to:

• Globalize access to knowledge

• Identify knowledge relevant to each type of land/soil

• Connect people with similar types of lands

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Page 7: The Land-Potential Knowledge System

US National Archives

Oklahoma Conservation Commission: Photograph by Arthur Rothstein. Courtesy of the Western History Collection, University of Oklahoma Library from the Farm Security Administration Collection

Why a LandPKS?

As a result of the Dust Bowl of the 1930’s, Natural Resource Management in the United States began to understand the importance of soil resilience in addition to productivity.

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Page 8: The Land-Potential Knowledge System

1.3 BILLION TONS of soil saved per year

0

50

100

150

200

1980 1990 2000 2010

Corn Yield (bu/acre)

Production continues to INCREASE.

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Results

Page 9: The Land-Potential Knowledge System

Alternative Livelihoods and Agricultural Intensification Example

Alternative livelihoods and agricultural intensification example

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100m

Alternative Livelihoods

and Agricultural Intensification

Example

Page 10: The Land-Potential Knowledge System

LandPKS Example Applied to User

1

2 3

4

Knowledge Engine supported by global databases & models

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Additional questions from app (management

inputs, more detailed soil properties, etc.)

Sustainable land

management options

Page 11: The Land-Potential Knowledge System

Sample

output

display to

Smartphon

e (Phase 1)

Sample output display to Smartphone (Phase I)

Output 1 Map of plots entered

Output 2 Graphs illustrating relative

production and erosion potential for each plot uploaded

Page 12: The Land-Potential Knowledge System

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Sample output to user-accessible website (Phase I) Sample output to user-accessibl

e website (Phase

1)

Page 13: The Land-Potential Knowledge System

SUPPORT Extension

(Government, NGO, ODA, Consultants)

SUPPORT Farmers and Pastoralists

TARGET Grazing management

Crop inputs Biodiversity

conservation, Restoration,

Land Use Planning & Management

Subsidy/Incentives (Gov, NGO, ODA)

INFORM Land Use Planning

and Land Tenure

Programs (Government)

Global Local Knowledge

Global Scientific

Knowledge

Geospatial Information

LandPKS

Land-Potential Knowledge System (LandPKS)

Contact: Jeff Herrick (USDA) [email protected]

CONNECT Farmers and

Pastoralists with Each Other based on Common Land Potential & Challenges

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LandPKS Diagram

Page 14: The Land-Potential Knowledge System

LandPKS Impact

LandPKS creates the ability to share knowledge around the region, country, and globe.

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Page 15: The Land-Potential Knowledge System

Similar soils and climate

Similar soils and climate allow global sharing of innovations (New Mexico, USA)

Shallow soil over calcium carbonate “pan” in the US. 15

Page 16: The Land-Potential Knowledge System

Similar soils - Namibia

Similar soil and climate – some surface soil remains (Kunene, Namibia)

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Page 17: The Land-Potential Knowledge System

Similar soil - Kenya Similar soil – surface nearly completely eroded (south-central Kenya)

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Page 18: The Land-Potential Knowledge System

Inputs, Analytics and Outputs

From Global Databases Linked via User

Application Inputs

Climate

Topography

Predicted soils

*Future inputs may include socioeconomic data (e.g. existing infrastructure, food preferences, land tenure population demographics)

From User via Mobile Phone Application

Land management question

Topography (slope)

Land use/vegetation

Soil texture/color/depth

Location (phone GPS)

Inputs*

Co-produced knowledge (Existing databases + LPKS

generated knowledge)

Point database for additional objectives:

Remote sensing calibration

Model development and calibration

Drought planning

Disaster response

Etc…

List of land management options ranked based on

productivity and sustainability

Outputs

Identify management options

Predict site conditions (Climate, Topography,

Soils)

Define biophysical similarity to other

locations

Evaluate value of land-potential knowledge

from areas with similar potential

Analytics

Feedback: Field monitoring + generated knowledge supports future planning

Define potential productivity, resistance

(and resilience)

Page 19: The Land-Potential Knowledge System

Product 1 (October 2014) Site Characterization

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User input (auto upload to server*):

• Soil texture (video decision key)

• Soil color (camera + reference)

• Observable soil properties

• Topography

Output to phone:

• Site summary

• Climate (based on GPS location)

Output to online, user-accessible database with spreadsheet output:

• Data for all sites input by individual project

• Currently working on policy for data sharing

*Cell connection not required at time of data collection.

Page 20: The Land-Potential Knowledge System

Product 2 (October 2014) Vegetation/soil cover monitoring (“Stick Method”)

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User input (auto upload to server*):

• Ground cover by life form (point-intercept)

• Vegetation height

• Plant density (up to 2 species)

• Vegetation gap size

Output to phone:

• Basic indicator summary

• Climate (based on GPS location)

Output to online, user-accessible database with spreadsheet output:

• Data for all sites input by individual project

• Currently working on policy for data sharing

*Cell connection not required at time of data collection.

Page 21: The Land-Potential Knowledge System

Product 3 (October 2014 – Pilot Areas Only) Ranking Relative Potential and Degradation Risk

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User input (auto upload to server*):

• See Product 1 (Site Characterization)

Cloud computing:

• Integration with existing soil, climate datasets to refine soil property predictions

• APEX model predicts potential productivity, erosion for generic land use types

Output to phone:

• Climate (based on GPS location)

• Relative potential productivity and erosion risk for sites input by individual user (map + graph)

Output to online, user-accessible database with spreadsheet output:

• Data for all sites input by individual project

• Currently working on policy for data sharing

*Cell connection not required at time of data collection.

Initial anticipated applications:

• Land use planning: land conversion to agriculture

• Prioritize restoration activities.

Page 22: The Land-Potential Knowledge System

What LandPKS will not do

Completely replace the need for extension and face-to-face conversations….

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….Instead, it will allow these conversations to begin with as much existing knowledge and information as possible, from around the world.

Page 23: The Land-Potential Knowledge System

Applications of LandPKS

Connects: • Knowledge and information that already exists • Local knowledge and information that can be uploaded

by users

Documents: • Management system successes and failures associated

with specific types of land, current soil conditions, and climate

Allows: • Land owners all over the globe to use their land to the

fullest potential

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Page 24: The Land-Potential Knowledge System

Questions?

Questions?

Continue the conversation with our presenters: Jeff Herrick (Lead) [email protected] Adam Beh (Coordinator) [email protected] Ioana Bouvier (USAID/E3/LTRM) [email protected]

24 1USAID 2USDA – ARS Jornada (New Mexico, US)

Page 25: The Land-Potential Knowledge System

Resources

Click on these icons for more resources:

Helpful links and files can be found on the left-hand side of your screen.

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