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The 3rd International Statistical EcologyConference in Oslo, Norway, 2012
Programme and abstracts
The Third International Statistical Ecology confer-
ence
I welcome you all to the third International Statistical Ecology conference (ISEC2012).The conference continues to increase in popularity with about 240 participants this year.A total of 174 contributions has been accepted for either oral presentations or as posters,giving a program that is quite dense during the four days of the event. The four pre-workshops, two of which are organized at Finse Alpine Research Center, also have manyparticipants.
This years event is the first outside the UK and is hosted by Centre for Ecological andEvolutionary Synthesis (CEES) at the University of Oslo. We have chosen SundvollenHotel as our venue both because of its beautiful surroundings and the possibilities forgathering all participants at the same place. We hope this will lead to strong interactionsboth at the scientific and social levels and help bridging the gap between theoretical andempirical ecology.
As for the previous events, there will be student awards for the best presentations/posters.Students are marked with an (S) in the program. The winners will be announced in theclosing session on Friday.
We are looking forward to see you all at Sundvollen!
For the local organizing committeeGeir Storvik (head)
Practical information
Program
The full program is given on the following pages. Changes in the program will be an-nounced on the information board.
All plenary talks will be given in Dronningsalen, while all other sessions will be inthe lecture rooms Kongesalene 1-3 (K1-K3). The program allows for moving betweenparallel sessions, and we hope this can be done without too much disturbance.
Information board
There will be an information board in front of the lecture rooms. Here we will put upinformation about program changes, excursions etc.
Talks
All presentations must be submitted at latest on the day preceding the presentation orduring registration. We prefer to receive the presentations by e-mail:[email protected]
Please give your full name and abstract number (see program) while submitting yourpresentation. Note that there is a free wireless internet connection available at the venue.The presentation can also be submitted manually at registration or during the first coffeebreaks of the day (Tuesday 15:30–16:00, Wednesday 10:30–11:00, Thursday 09:45–10:00).
Posters
The poster session will take place in front of the lecture rooms Wednesday 4 July 18:00-20:00. Please hang up your poster on the allocated board during the lunch break (12:45 to14:00) on Wednesday. You are expected to attend your poster during the poster session,but we wish to keep the posters on display at least until the following day.
Scientific Programme Committee:
Eric Rexstad, University of St. Andrews (head)Steve Buckland, Univesity of St. AndrewsTorbjørn Ergon, University of OsloByron Morgan, University of KentCarl Schwartz, Simon Fraser University, British ColombiaTore Schweder, University of Oslo
Local Organising Committee:
Geir Storvik (head)Torbjørn ErgonT. Andreas LindenTrond ReitanTore SchwederMari Elisabeth SmithCamilla TømtaJayne Lambrou
Student assistants
Anna BlixIda Margrethe AalvikReinaldo MarquesØyvind Bleka
Tuesday
3July
0900
-1200
On
-sit
ere
gis
trati
on
1200
-1400
Lu
nch
1400
-1415
Op
en
ing
-Dronningsalen
1415
-1530
Ple
nary
-Dronningsalen
Nil
sC
hr.
Ste
nse
th:
Op
enin
gre
mar
ks
Ste
inar
En
gen
:S
toch
asti
cag
e-st
ruct
ure
dm
od
elli
ng:
dyn
amic
s,ge
net
ics
and
esti
mat
ion
(1)
1530
-1600
Coff
ee
1600
-1715
Para
llel
sess
ion
s1
Com
bin
ing
info
rmati
on
Dis
tan
ce
sam
plin
gO
ccu
pan
cy
est
imati
on
K1
Ch
air:
Mag
ne
Ald
rin
K2
Ch
air:
Eri
cR
exst
adK3
Ch
air:
Mat
tS
choef
eld
1600
Sim
on
eT
enan
:D
emog
rap
hic
con
sequ
ence
sof
ille
gal
poi
son
ing
inra
pto
rs:
An
inte
-gr
ated
ap
pro
ach
(2)
Pau
lC
onn
:A
hie
rarc
hic
alm
od
elin
gfr
ame-
wor
kfo
rm
ult
iple
cova
riat
e,m
ult
iple
-ob
serv
erd
ista
nce
sam
pli
ng
dat
a(7
)
Mar
kB
rew
er:
Cli
mat
een
velo
pes
for
spec
ies
dis
trib
uti
onm
od
els
(12)
1615
Jos
eJ.
Lah
oz-M
onfo
rt:
Bri
ngi
ng
itall
to-
geth
er:
Am
ult
i-sp
ecie
sIn
tegr
ated
Pop
u-
lati
on
Mod
elfo
ra
bre
edin
gco
mm
un
ity
ofse
ab
ird
s(3
)
Ste
ph
anie
Kra
mer
-Sch
adt:
Un
der
stan
din
gA
siat
icw
ild
ass
(Equ
us
hem
ionu
s)p
opu
-la
tion
size
esti
mat
esin
the
Gre
atG
obi
BS
tric
tly
Pro
tect
edA
rea,
Mon
goli
a(8
)
Gu
rutz
eta
Gu
ille
ra-A
rroi
ta:
Acc
ounti
ng
for
par
amet
eru
nce
rtai
nty
inth
edes
ign
ofoc-
cup
ancy
stu
die
s:B
ayes
ian
and
sequ
enti
alap
pro
ach
es(1
3)
1630
Ali
son
Joh
nst
on:
Mod
elli
ng
the
dis
trib
u-
tion
offl
yin
gh
eights
of
seab
ird
sfr
om
mu
l-ti
ple
surv
eys
(4)
Cor
nel
iaS
.O
edek
oven
(S):
Usi
ng
hie
rarc
hi-
cal
cente
rin
gto
faci
lita
tean
RJM
CM
Cal
-go
rith
m(9
)
Kri
stin
Bro
ms
(S):
Ap
ply
ing
asp
atia
locc
u-
pan
cym
od
elto
the
Sou
ther
nA
fric
anB
ird
Atl
asP
roje
ct(1
4)
1645
Tu
omas
Ku
kko
(S):
Com
bin
ing
mu
ltip
led
ata
sou
rces
wit
hin
aB
ayes
ian
stat
e-sp
ace
mod
elw
ith
anap
pli
cati
onfo
rm
oose
pop
u-
lati
on
dyn
amic
s(5
)
Mar
cK
ery
:In
fere
nce
abou
td
ensi
tyan
dav
aila
bil
ity
from
dis
tan
cesa
mp
lin
gd
ata
(10)
Ch
ris
Suth
erla
nd
(S):
Infe
rrin
gtr
ansi
ent
oc-
cup
ancy
usi
ng
occ
up
ancy
mod
els
that
ac-
cou
nt
for
fals
ep
osit
ive
and
fals
en
egat
ive
det
ecti
onp
rob
abil
itie
s(1
5)
1700
Mic
hael
Sch
au
b:
Est
imat
ing
imm
igra
tion
usi
ng
aB
ayes
ian
inte
grat
edp
op
ula
tion
mod
el:
Ch
oic
eof
par
amet
risa
tion
and
pri
-or
s(6
)
Ear
lB
ecker
:A
eria
lL
ine-
Tra
nse
ctS
urv
eys
wit
hd
epen
den
td
ata
and
aG
amm
a-li
ked
e-te
ctio
nfu
nct
ion
(11)
Bre
nd
anW
intl
e:
Des
ign
ing
occ
up
ancy
sur-
veys
and
inte
rpre
tin
gn
on-d
etec
tion
wh
enob
serv
atio
ns
are
imp
erfe
ct(1
6)
1715
-1730
Coff
ee
Tuesday
3July
1730
-1900
Para
llell
sess
ion
s2
Lif
eh
isto
ryan
db
eh
avio
ur
Mu
lti-
specie
sin
tera
cti
on
s/ti
me
seri
es
An
imal
movem
ent
K1
Ch
air
:A
liso
nJoh
nso
nK2
Ch
air:
Pau
lH
arri
son
K3
Ch
air:
Rol
and
Lan
grock
1730
Oli
vie
rG
imen
ez:
Est
imati
ng
fitn
ess
inth
ew
ild
usi
ng
stat
e-sp
ace
mod
els
and
mar
k-
reca
ptu
red
ata
(17)
Maf
ald
aV
ian
a(S
):T
emp
oral
dyn
amic
sof
fish
erie
sd
isca
rds
com
pos
itio
nan
dit
sim
pli
-ca
tion
sfo
rec
osyst
emfu
nct
ion
ing
(23)
Ben
Sw
allo
w(S
):C
oin
cid
enta
lb
ird
irru
p-
tion
s(2
9)
1745
Per
ryd
eV
alp
ine:
Rea
list
icm
od
elin
gof
stage
-str
uct
ure
dco
hort
tim
e-se
ries
dat
a(1
8)
An
dre
sL
opez
-Sep
ulc
re:
Bay
esia
nan
alysi
sof
isot
ope
trac
erad
dit
ion
sto
test
alte
rna-
tive
mod
els
ofT
rin
idad
ian
stre
amw
ebs
(24)
Tob
yP
atte
rson
:P
red
icti
ng
the
spat
ial
dis
-tr
ibu
tion
ofan
imal
beh
avio
ur:
Cou
pli
ng
mod
els
ofst
och
asti
can
imal
beh
avio
ur
and
spat
ial
usa
ge(3
0)
1800
Aaro
nC
hri
st:
Est
imati
ng
loca
tion
sfo
rlo
-ca
lex
trem
aof
stab
leis
otop
esi
gn
atu
res
inS
tell
erse
ali
on
vib
riss
ae(1
9)
Dag
Ø.
Hje
rman
n:
Mu
ltis
pec
ies,
len
gth
-b
ased
mod
elli
ng
ofm
arin
efo
od
web
s(2
5)P
aul
Bla
ckw
ell:
Mod
elli
ng,
sim
ula
tion
and
infe
ren
cefo
ran
imal
mov
emen
tin
conti
nu
-ou
sti
me
(31)
1815
Cec
ilia
Pin
to(S
):T
he
imp
orta
nce
ofco
nsi
d-
erin
gu
nce
rtai
nty
wh
enm
od
elli
ng
the
pop
-u
lati
onvia
bil
ity
ofby-c
atc
hsp
ecie
s:A
nap
-p
lica
tion
todee
pw
ater
elas
mob
ran
chs
(20)
Jon
asK
nap
e:
Usi
ng
un
cert
ainty
esti
mat
esin
stat
esp
ace
mod
elli
ng
ofp
opu
lati
onab
un
dan
ceti
me
seri
es(2
6)
Th
eon
iP
hot
opou
lou
:R
econ
stru
ctin
gd
ive
pat
hs
intw
o-d
imen
sion
s:In
fere
nce
sab
out
dep
thu
sean
db
ehav
ior
(32)
1830
Fre
dri
kC
hri
stia
nse
n(S
):C
um
ula
tive
sea-
son
aleff
ects
of
wh
ale-
watc
hin
gon
Min
ke
wh
ale
son
afe
edin
ggro
un
d(2
1)
Bir
git
Ern
i:U
sin
gst
ruct
ura
lti
me
seri
esm
od
els
toes
tim
ate
tren
ds
inb
ird
pop
ula
-ti
ons
from
sem
ian
nu
alco
unts
(27)
Tia
goM
arqu
es:
Usi
ng
anim
al-b
orn
eta
gsto
esti
mat
ew
hal
etr
acks
in3-
dim
ensi
onal
spac
eu
sin
gst
ate
spac
em
od
els
(33)
1845
Pasc
al
Mon
esti
ez:
Pre
dic
tin
gfo
ragin
gsu
c-ce
ssin
am
ari
ne
pre
dat
orfr
omd
ive
pat
tern
only
?G
LM
Mm
od
else
lect
ion
and
ind
ivid
-u
al
effec
ts(2
2)
An
dre
asL
ind
en:
Au
toco
rrel
ated
cova
riat
esin
AR
-mod
els
can
be
pro
ble
mat
ic(2
8)B
rett
McC
linto
ck:
Com
bin
ing
ind
ivid
ual
anim
allo
cati
onan
db
iote
lem
etry
dat
ato
inve
stig
ate
mov
emen
tan
dac
tivit
yb
ud
gets
atth
ep
opu
lati
on-l
evel
:A
nap
pli
cati
onto
har
bou
rse
als
inth
eN
orth
Sea
(34)
1900
-2000
Win
ere
cep
tion
2000
-2200
Din
ner
Wednesday
4July
0900
-1030
Ple
nary
-Dronningsalen
Ots
oO
vask
ain
en:
Th
ean
alysi
sof
spat
ial
dat
a:in
div
idu
alm
ovem
ents
and
spec
ies
and
com
mu
nit
ym
od
els
(35)
Joa
nn
aM
ills
Fle
mm
ing
:T
he
Oce
an
trac
kin
gn
etw
ork:
ad
ata
per
spec
tive
(36)
1030
-1100
Coff
ee
1100
-1245
Para
llel
sess
ion
s3
Sp
ati
al
mod
ellin
gA
bu
nd
an
ce
est
imati
on
Wild
life
an
dcon
serv
ati
on
K1
Ch
air
:Jan
ine
Illi
anK
2C
hai
r:T
akis
Bes
bea
sK
3C
hai
r:M
ark
Bre
wer
1100
Sop
hie
Ber
tran
d:
Do
fora
ger
sm
ove
Lev
yor
not?
Let
Gen
erali
zed
Par
eto
dec
ide
(37)
Lu
igiS
pez
ia:
Mod
elli
ng
spec
ies
abu
nd
ance
ina
rive
rby
Neg
ativ
eB
inom
ial
hid
den
Mar
kov
mod
els
(44)
Fra
nzi
Kor
ner
-Nie
ver
gelt
:M
easu
rin
gre
-so
urc
ese
lect
ion
:A
clas
sica
lm
eth
od
app
lied
ina
Bay
esia
nfr
amew
ork
(51)
1115
Jea
n-B
ap
tist
eL
ecom
te(S
):A
Bay
esia
nh
i-er
arch
ical
mod
elfo
rze
ro-i
nfl
ated
bio
mas
sd
ata
,w
ith
asp
atia
lst
ruct
ure
(38)
Ste
ph
enB
uck
lan
d:
Wil
dlife
pop
ula
tion
sur-
vey
met
hod
s:C
hal
len
ges
and
opp
ortu
nit
ies
inth
e21
stce
ntu
ry(4
5)
Cin
dy
Hau
ser:
Ob
serv
ing
the
obse
rver
:E
x-
per
imen
tsth
ates
tim
ate
wee
dd
etec
tab
ilit
y(5
2)
1130
Dan
ielE
sser
(S):
Bact
eria
lco
lon
izat
ion
pat
-te
rns
onp
lant
surf
ace
s-
Ad
ap
tin
gm
eth
od
sfr
omsp
atia
lst
ati
stic
sto
un
der
stan
dm
ixed
poi
nt-
lin
ep
atte
rns
(39)
Pet
erJak
son
s(S
):B
alan
ced
Acc
epta
nce
Sam
pli
ng:
An
adap
tive
lon
gte
rmsa
mp
lin
gm
eth
od
olog
y(4
6)
Jos
lin
Moor
e:
How
good
are
our
dec
isio
nm
od
els?
An
exp
erim
enta
lte
stof
opti
mal
surv
eill
ance
(53)
1145
Mar
inel
leB
ass
on:
Exp
erim
enta
lly
der
ived
like
lih
ood
sfo
rli
ght-
base
dge
olo
cati
on(4
0)E
mil
yD
enn
is(S
):E
stim
atin
gtr
end
sin
bu
t-te
rfly
pop
ula
tion
sw
hil
stac
cou
nti
ng
for
mis
s-in
gco
unts
and
vari
abilit
yin
seas
onal
pat
tern
(47)
Ric
har
dS
her
ley
:D
on’t
ban
kon
ase
avie
w:
Cou
ldcl
imat
eva
riab
ilit
yb
eli
mit
ing
the
pro
du
ctiv
ity
ofan
end
emic
corm
oran
tin
sou
ther
nA
fric
a?(5
4)
1200
Vid
ar
Grø
tan
:In
fere
nce
for
spat
ial
pro
-ce
sses
bas
edon
are
alu
nit
dat
a(4
1)
M.
Siv
aram
:S
ome
refl
ecti
ons
onp
opu
lati
ones
tim
atio
nof
wil
del
eph
ants
usi
ng
larg
esc
ale
du
ng
surv
eyin
sou
ther
nIn
dia
du
rin
g20
05,
2007
and
2010
(48)
Tra
cyR
out:
Ast
atis
tica
lfr
amew
ork
for
adap
tive
surv
eill
ance
ofin
vasi
vep
lants
(55)
1215
Mar
tin
Alf
red
oL
egarr
eta-G
onza
lez
(S):
Bay
esia
nid
enti
fica
tion
of
ou
tlyin
gla
trin
esin
the
reco
nst
ruct
ion
ofb
adge
rte
rrit
orie
s(4
2)
Eva
Can
ton
i:M
od
elli
ng
abu
nd
ance
for
clu
s-te
red
cou
nt
dat
aw
ith
exce
ssof
zero
s(4
9)P
eter
Dil
lin
gham
:E
xte
nsi
ons
toth
ep
oten
-ti
alb
iolo
gica
lre
mov
alm
eth
od
for
seab
ird
san
dse
atu
rtle
s(5
6)
1230
Mar
itL
inn
eru
d(S
):T
aylo
r’s
spat
ial
pow
erla
wd
epen
ds
onth
esi
zeof
the
sam
pli
ng
area
(43)
Mar
kB
ravin
gton
:E
stim
atin
gab
un
dan
ceby
mat
chin
gp
aren
tsto
offsp
rin
g:S
outh
ern
Blu
efin
Tu
na
(50)
Geo
rgia
Gar
rard
:A
pre
dic
tive
mod
elof
avia
nn
atal
dis
per
sald
ista
nce
pro
vid
esp
rior
info
rmat
ion
for
inve
stig
atin
gre
spon
seto
lan
dsc
ape
chan
ge(5
7)
Wednesday
4July
1245
-1400
Lu
nch
1400
-1605
Invit
ed
sess
ion
s
Sta
tist
ical
ap
pro
ach
es
top
ale
ob
iolo
gic
al
qu
est
ion
sT
he
develo
pm
ent
an
du
seofst
ati
stic
alm
eth
od
olo
gy
infi
sh-
eri
es
rese
arc
hK1
Ch
air:
Lee
Hsi
ang
Lio
wK3
Ch
air:
Mar
kM
aun
der
1400
Lee
Hsi
an
gL
iow
:In
trodu
ctio
n:
Sta
tist
ical
app
roac
hes
top
aleo
bio
-lo
gica
lqu
esti
ons
(58)
Mar
kM
aun
der
:In
trod
uct
ion
:T
he
contr
ibu
tion
offi
sher
ies
stock
asse
ssm
ent
tost
atis
tica
lec
olog
y(6
5)
1405
Bja
rte
Han
nis
dal
:H
owlo
wca
nyo
ugo
?C
ausa
lity
det
ecti
onin
inco
mp
lete
reco
rds
(59)
Ver
ena
Tre
nke
l:F
ish
erie
sst
ock
and
com
mu
nit
yas
sess
men
tsin
lim
-it
edd
ata
situ
atio
ns:
Fle
xib
lem
od
els
usi
ng
ran
dom
effec
tsan
din
-fe
ren
ceb
ased
onm
od
elp
rop
erti
es(6
6)
1425
Gra
eme
Llo
yd
:B
ias
ines
tim
ates
ofp
alae
obio
div
ersi
ty:
Bey
ond
the
mar
ine
macr
ofoss
ilre
cord
(60)
An
der
sN
iels
en:
Sta
te-s
pac
efi
shst
ock
asse
ssm
ent
mod
elas
sim
ple
alte
rnat
ive
to(s
emi-
)d
eter
min
isti
cap
pro
ach
esan
dfu
llp
aram
etri
cst
och
asti
cm
od
els
(67)
1445
Th
om
asE
zard
:S
pec
ies’
ecol
ogy
dri
ves
mac
roev
oluti
on(6
1)In
na
Sen
ina:
Nex
tge
ner
atio
nof
stock
asse
ssm
ent
tool
s?E
xam
ple
ofsp
atia
lp
opu
lati
ond
yn
amic
sm
od
elw
ith
envir
onm
enta
lfo
rcin
g(6
8)
1505
Folm
erB
okm
a:
Com
bin
ing
pale
onto
logy
and
neo
nto
logy
tore
con
-st
ruct
ing
char
acte
rev
olu
tion
(62)
Pai
geE
veso
n:
Usi
ng
elec
tron
icta
gdat
ato
imp
rove
mor
tali
tyan
dm
ovem
ent
esti
mat
esin
ata
g-b
ased
spat
ial
fish
erie
sas
sess
men
tm
od
el(6
9)
1525
P.
Raia
:P
ale
onto
logy
dow
nth
etr
ee.
Th
ep
hylo
gen
etic
conte
xt
ofsp
ecie
sd
istr
ibu
tion
,co
mp
etit
ion
,an
dd
ura
tion
inth
efo
ssil
reco
rd(6
3)
Gre
gory
Bri
tten
:T
ime-
vary
ing
stat
e-sp
ace
par
amet
eriz
atio
ns
ofd
y-
nam
icp
opu
lati
onm
odel
sre
veal
non
-sta
tion
ary
stock
-rec
ruit
men
tre
lati
onsh
ips
(70)
1545
Bob
O’H
ara
:F
oss
ilM
amm
als
inT
ime
(an
dsp
ace)
(64)
Mar
kM
aun
der
(ch
air)
:P
anel
dis
cuss
ion
:S
tati
stic
alis
sues
infi
sh-
erie
sst
ock
asse
ssm
ent
that
stil
ln
eed
add
ress
ing
(71)
1605
-1630
Coff
ee
Wednesday
4July
1630
-1800
Para
llel
sess
ion
s4
Sp
ati
al
mod
ellin
gS
pati
ally-e
xp
licit
cap
ture
-recap
ture
Stu
dy
desi
gn
/p
ara
mete
rid
enti
fica-
tion
K1
Ch
air:
Pau
lC
onn
K2
Ch
air:
Tia
goM
arqu
esK3
Ch
air:
Dia
na
Col
e
1630
Dav
idM
ille
r:C
om
bat
tin
ged
ge
effec
tsin
spat
ial
smooth
ing
(72)
Arj
un
Gop
alas
wam
y(S
):D
ensi
tyes
tim
a-ti
onin
tige
rp
opula
tion
s:C
omb
inin
gin
for-
mat
ion
for
stro
ng
infe
ren
ce(7
8)
An
dre
asK
arls
son
Tis
eliu
s(S
):U
sin
gfu
nc-
tion
alP
CA
toex
plo
rep
atch
con
nec
tivit
yac
ross
spat
ial
scal
es(8
4)
1645
Ru
ssel
lT
hom
son
:E
valu
atin
gp
red
icti
ons
offi
shan
din
vert
ebra
tesp
ecie
stu
rnov
erb
ased
ona
gra
die
nt
fore
stm
od
el,
usi
ng
anin
de-
pen
den
td
ata
set
(73)
Inga
rsS
ilin
sh(S
):C
omp
aris
onof
diff
eren
tap
pro
ach
esto
mar
k–
reca
ptu
rem
eth
od
sst
ud
yin
ggy
psy
mot
hL
ym
antr
iad
isp
arin
fiel
dsu
rvey
s(7
9)
Jam
ieS
and
erli
nO
pti
mal
stu
dy
des
ign
for
mu
lti-
spec
ies
mon
itor
ing
pro
gram
s(8
5)
1700
Jos
eph
Ch
ipp
erfi
eld
:A
nap
pro
xim
ate
ver-
sion
of
rever
sib
le-j
um
pM
CM
Cfo
rth
ep
ara
met
eris
ati
on
and
mod
else
lect
ion
ofin
div
idu
al-b
ase
dm
od
els
(74)
Bet
hG
ard
ner
:Sp
atia
lca
ptu
re-
reca
ptu
rein
lin
ear
net
wor
ks:
Est
imat
ing
surv
ival
and
mig
rati
onp
atte
rns
infi
shes
(80)
Pat
rici
aH
anse
n:
Sam
pli
ng
rare
and
clu
s-te
red
pop
ula
tion
s(8
6)
1715
Est
her
Jon
esC
om
para
tive
spat
ial
dis
trib
u-
tion
sb
etw
een
UK
gre
yan
dh
arb
our
seal
pop
ula
tion
s(7
5)
Gon
calo
Fer
raz:
Infe
ren
ceab
out
surv
ival
and
mov
emen
tin
mar
ked
anim
als
usi
ng
mu
lti-
stat
em
od
els
wit
hsp
atia
lly-i
nd
exed
stat
es(8
1)
Wen
del
lC
hal
len
ger:
Tes
tin
gth
eE
ffec
tof
Fis
hF
arm
son
Sal
mon
Su
rviv
al,
TE
FF
S(8
7)
1730
Ste
ph
enC
atte
ral:
Mod
elli
ng
the
spati
alsp
read
of
inva
sive
alie
ns:
Pro
cess
-bas
edm
od
els
and
Bay
esia
nin
fere
nce
(76)
Rah
elS
ollm
ann:
Sp
atia
lca
ptu
re-r
ecap
ture
mod
els
for
par
tial
iden
tify
abil
ity
(82)
Ben
Hu
bb
ard
(S):
Par
amet
erre
du
nd
ancy
:Id
enti
fiab
ilit
yis
sues
inM
ark-R
ecap
ture
-R
ecov
ery
mod
els
(88)
1745
Jan
ine
Illi
an
:R
ecen
tad
van
ces
inco
mp
uta
-ti
on
ally
effici
ent
spati
al
mod
elli
ng
(77)
Dav
idB
orch
ers:
Sp
atia
lly
exp
lici
tca
ptu
re-
reca
ptu
rew
ith
pas
sive
det
ecto
rs(8
3)C
hri
stop
hS
cher
ber
:C
hoos
ing
bet
wee
nty
pes
ofli
nea
rm
od
els
inth
ean
alysi
sof
spec
ies
rich
nes
sd
ata
infr
agm
ente
dla
nd
-sc
apes
(89)
1800
-2000
Post
er
sess
ion
s-In
frontoflecture
rooms
(see
nex
tp
age)
2000
-2200
Din
ner
Post
er
sess
ion
s-In
fron
tof
lecture
room
sE
loıs
aD
ıaz-
Fra
nce
s:A
tru
nca
ted
gam
ma-
bin
omia
lm
od
elfo
res
tim
atin
gsp
ecie
sri
chn
ess
un
der
qu
adra
tsa
mpli
ng
(90)
Jir
ıH
adra
va(S
):Im
pro
vin
gm
ark-r
elea
se-
reca
ptu
rees
tim
ates
ofsh
ort-
live
dh
ighly
mo-
bil
ep
olli
nat
ors
usi
ng
add
itio
nal
info
rmat
ion
onw
eath
eran
dla
nd
scap
eco
mp
osit
ion
(99)
Am
eur
Man
ceu
r:A
par
sim
onio
us
mu
lti-
dim
ensi
onal
stat
isti
cal
mod
el,
wit
hap
pli
cati
ons
inec
olog
y(1
08)
Mari
aG
razi
aP
enn
ino:
Bay
esia
nla
tent
Gau
s-si
an
mod
els
toass
essi
ng
the
spat
ial
dis
trib
uti
onof
spec
ies
(91)
An
dre
jS
pir
idon
ov(S
):T
esti
ng
for
corr
elat
ion
bet
wee
nab
un
dan
ces
ofco
nod
onts
and
envir
on-
men
tal
tim
ese
ries
inP
rid
olia
nst
rata
ofL
ithu
a-n
ia(1
00)
Eri
cR
exst
ad:
Com
par
ing
pre
-an
dp
ost-
con
stru
ctio
nd
istr
ibu
tion
sof
lon
g-ta
iled
du
cks
arou
nd
anoff
shor
ew
ind
farm
:A
qu
asi-
des
ign
edex
per
imen
tac
cou
nti
ng
for
imp
erfe
ctd
etec
tion
,lo
cal
surf
ace
feat
ure
san
dau
toco
rrel
atio
n(1
09)
Am
elie
Van
isco
tte:
Est
imat
ing
pre
dic
tion
erro
rsin
Sp
ecie
sD
istr
ibu
tion
Mod
els:
Avir
tual
ecol-
ogy
app
roach
toin
tegra
tem
ult
iple
sou
rces
ofu
n-
cert
ain
ties
(92)
Cla
ra-S
oph
ieva
nW
aver
en(S
):T
he
role
ofh
et-
erog
enei
tyin
spat
ial
pla
nt
pop
ula
tion
dyn
amic
s(1
01)
Leo
nel
Her
rera
-Als
ina
(S):
Met
hod
sfr
omth
eo-
reti
cal
ecol
ogy
app
lied
toa
pra
ctic
alp
roble
m:
Bir
ds
and
win
dtu
rbin
es(1
10)
Ch
rist
oph
erIl
ori
(S):
Agl
imp
sein
toth
efu
ture
:P
red
icti
ved
istr
ibu
tion
mod
elli
ng
of
bir
dp
opu
-la
tion
sin
wes
tA
fric
a(9
3)
Lei
fC
hri
stia
nS
tige
:S
tati
stic
alan
alysi
sof
pla
nkto
nd
istr
ibu
tion
s:In
corp
orat
ion
ofin
for-
mat
ion
from
hyd
rod
ynam
icm
od
elin
gof
tran
s-p
ort
(102
)
Zd
enek
Jan
ovsk
y(S
):T
he
pre
ferr
edan
dth
en
ear
-th
eac
tual
hov
erfl
yp
refe
ren
ces
for
hos
tp
lants
and
the
role
ofsp
atia
las
pec
t(1
11)
Dav
idM
ille
r:M
ult
i-sc
ale
an
alysi
sof
occ
up
ancy
dyn
am
ics
of
two
amp
hib
ian
spec
ies
inre
fuge
sacr
oss
the
nort
hea
stU
.S.
(94)
M.
Gra
zia
Pen
nin
o(S
):A
ccou
nti
ng
for
pre
fer-
enti
alsa
mp
lin
gin
the
fish
ery
conte
xt
(103
)M
aria
Woja
kow
ski
(S):
AB
ayes
ian
anal
ysi
sof
the
nes
tin
gec
olog
yof
the
Dia
mon
db
ack
Ter
-ra
pin
(Mal
acle
mys
terr
apin
)in
Jam
aica
Bay
Wil
dli
feR
efu
ge,
New
Yor
k(1
12)
Dav
idM
ille
r:S
pati
ald
ensi
tysu
rface
esti
mat
ion
from
dis
tan
cesa
mp
lin
gsu
rvey
s(9
5)
Han
sS
kau
g:
Sp
atia
lG
LM
sin
AD
Mod
elB
uil
der
(104
)T
atia
ne
Bed
usc
hi
(S):
Th
ein
flu
ence
offa
cili
ta-
tion
onth
esp
atia
ld
istr
ibu
tion
ofC
lusi
acr
iuva
dep
end
son
envir
onm
enta
lse
veri
ty(1
13)
Dav
idM
ille
r:C
omin
gso
on
inD
ista
nce
(96)
Am
iya
Bh
owm
ick
(S):
Sim
ult
aneo
us
iden
tifi
ca-
tion
ofgr
owth
law
and
esti
mat
ion
ofit
sra
tep
a-ra
met
erfo
rb
iolo
gica
ld
ata:
An
ewm
etri
c(1
05)
Shu
jau
lM
ulk
Kh
an(S
):E
valu
atio
nof
pla
nts
en-
vir
onm
ent
rela
tion
ship
and
reco
gnit
ion
ofin
di-
cato
rsp
ecie
su
sin
gm
ult
ivar
iate
stat
isti
cs(1
14)
Sim
one
Ten
an(S
):P
op
ula
tion
size
esti
mat
ein
short
-tim
e.H
an
dli
ng
beh
avio
ura
lre
spon
se,
in-
div
idu
al
het
erogen
eity
inth
ree–
sess
ion
surv
eys
(97)
Ale
xan
der
Nov
akov
sky
:P
rese
nta
tion
ofth
ep
ro-
gram
mod
ule
”GR
AP
HS
”d
esig
ned
toau
tom
a-ti
onof
ecol
ogic
ald
ata
anal
ysi
sby
usi
ng
ord
ina-
tion
,cl
ust
erin
gan
dgr
aph
theo
ry(1
06)
Ram
anib
aiR
avic
han
dra
n:
Rol
eof
alga
ld
iets
onth
ed
evel
opm
ent
ofth
ree
cop
epod
s(1
15)
Rog
erP
rad
el:
Rel
ati
on
bet
wee
nth
eJol
ly-S
eber
esti
mat
eof
pop
ula
tion
size
and
the
Pra
del
esti
-m
ate
ofp
opu
lati
ongr
owth
rate
(98)
En
dre
Knu
dse
n:
Fit
tin
gfi
nit
e-m
ixtu
rem
od
els:
Per
form
ance
and
heu
rist
ics
(107
)
Thursday
5July
0900
-0945
Ple
nary
-Dronningsalen
An
dre
E.
Pu
nt:
Est
imat
ing
pre
cau
tion
ary
thre
shol
ds
for
US
wes
tco
ast
fish
erie
s(1
16)
0945
-1000
Coff
ee
1000
-1145
Para
llel
sess
ion
s5
Ab
un
dan
ce
est
imati
on
Mark
-recap
ture
an
dS
EC
RP
op
ula
tion
dyn
am
ics/
fish
eri
es
K1
Ch
air:
Han
sS
kau
gK2
Ch
air:
Oli
vie
rG
imen
ezK3
Ch
air:
Dav
idB
orch
ers
1000
Knu
tK
orsb
rekke
:E
xp
lori
ng
op
tion
sb
e-yo
nd
catc
hab
ilit
yat
age
intr
awl
surv
eys
use
din
fish
stock
ass
essm
ents
(117)
Jes
sica
For
d(S
):In
corp
orat
ing
ind
ivid
ual
het
-er
ogen
eity
into
mar
k-r
ecap
ture
mod
els
usi
ng
AD
MB
and
Dir
ich
let
Pro
cess
Pri
ors
(124
)
Rem
iC
hoqu
et:
Est
imat
ing
tran
siti
ons
be-
twee
ncl
assi
fied
stat
esu
sin
gn
ond
iscr
ete
mea
sure
sw
ith
imp
erfe
ctd
etec
tion
:A
pp
li-
cati
onto
lon
gitu
din
alse
rolo
gica
ld
ata
(131
)
1015
Ch
rist
ian
Dam
gaard
:O
nth
est
atis
tica
lan
aly
ses
of
pin
-poin
tco
ver
data
:T
he
im-
por
tan
ceof
spati
al
vari
atio
n(1
18)
Md
.A
bd
us
Sal
amA
kan
da
(S):
AG
ener
aliz
edE
stim
atin
gE
qu
atio
nap
pro
ach
for
esti
mat
-in
gp
opu
lati
onsi
zeby
usi
ng
cap
ture
-rec
aptu
red
ata
(125
)
Res
Alt
weg
g:
Usi
ng
met
apop
ula
tion
mod
-el
sto
exam
ine
colo
ny
dec
line
inso
ciab
lew
eave
rs(1
32)
1030
Pet
erN
.M
ais
ha
Mac
Kea
n:
Com
bin
ing
catc
han
dsu
rvey
dat
ain
ad
yn
amic
stat
e-sp
ace
stock
ass
essm
ent
mod
elu
sin
gse
qu
en-
tial
imp
orta
nce
sam
pli
ng
(119
)
Les
lie
New
:T
he
rela
tion
ship
sb
etw
een
in-
div
idu
alb
ehav
iou
r,fo
ragi
ng
and
fitn
ess
for
sou
ther
nel
eph
ant
seal
s,an
dth
eco
nn
ecti
ons
top
opu
lati
ond
yn
amic
s(1
26)
Vik
tori
iaR
adch
uk
(S):
Ap
pli
cati
onof
pat
tern
-ori
ente
dap
pro
ach
toth
ed
evel
op-
men
tof
ind
ivid
ual
-bas
edm
od
el:
pop
ula
tion
via
bil
ity
anal
ysi
sof
the
bog
frit
illa
ryb
utt
er-
fly
inB
elgi
um
(133
)
1045
Alf
Harb
itz:
Sam
pli
ng
and
surv
eyd
esig
nas
pec
tsof
scie
nti
fic
mari
ne
surv
eys
(120
)R
uth
Kin
g:
Rec
ent
app
roac
hes
inin
corp
orat
-in
gti
me-
vary
ing
cova
riat
esw
ith
inth
ean
alysi
sof
cap
ture
-rec
aptu
red
ata
(127
)
Mag
ne
Ald
rin
:Im
pro
vin
gm
anag
emen
td
e-ci
sion
sby
pre
dic
tin
gfi
shbyca
tch
inth
eB
aren
tsS
eash
rim
pfi
sher
y(1
34)
1100
Ele
ni
Mate
chou:
Para
met
erre
du
nd
ancy
inst
op-o
ver
mod
els;
usi
ng
sym
bol
icalg
ebra
inp
ract
ice
(121)
Bri
anT
aras
:E
stim
atin
gG
rizz
lyB
ear
(Ur-
sus
arct
os)
den
sity
and
dis
trib
uti
onin
Inte
rior
Ala
ska
usi
ng
spat
iall
y-e
xp
lici
tca
ptu
rere
cap-
ture
mod
els
that
acco
mm
od
ate
ind
ivid
ual
het
-er
ogen
eity
and
hab
itat
effec
ts(1
28)
JC
Qu
iroz
:U
sin
gst
ate-
spac
em
od
elli
ng
fram
ewor
kin
dat
a-li
mit
edfi
sher
ies:
Th
eca
seof
Pat
agon
ian
Toot
hfi
shin
Ch
ile
(135
)
1115
Roge
rP
rad
el:
Est
imati
ng
pop
ula
tion
grow
thra
tefr
om
cap
ture
-rec
aptu
redat
aw
hen
sam
pli
ng
area
isen
larg
edan
d/or
new
ind
ivid
ual
sare
intr
od
uce
d(1
22)
Tor
bjø
rnE
rgon
:S
epar
atin
gm
orta
lity
and
em-
igra
tion
:M
od
elin
gsp
ace
use
,dis
per
sal
and
surv
ival
wit
hro
bust
-des
ign
spat
ial
cap
ture
-re
cap
ture
dat
a(1
29)
Las
seR
uok
olai
nen
:M
od
elli
ng
nic
he
and
neu
tral
dyn
amic
s:O
nth
eec
olog
ical
inte
r-p
reta
tion
ofva
riat
ion
par
titi
onin
gre
sult
s(1
36)
1130
Dan
iell
eH
arri
s:E
stim
ati
ng
the
den
sity
ofb
lue
wh
ales
(Bal
aen
opte
ram
usc
ulu
s)fr
oma
sin
gle
hyd
rop
hon
e(1
23)
Dia
na
Col
e:
Ad
din
gin
div
idu
alra
nd
omeff
ects
resu
lts
inm
od
els
that
are
no
lon
ger
par
amet
erre
du
nd
ant
(130
)
Han
nah
Wor
thin
gton
(S):
Rec
ent
dev
elop
-m
ents
inin
tegr
ated
stop
over
mod
els
(137
)
Thursday
5July
1145
-1200
Coff
ee
1200
-1245
Ple
nary
-Dronningsalen
Rach
elF
ewst
er:
Gen
etic
sin
stati
stic
alec
olog
y(1
38)
1300
-1400
Lu
nch
1400
-1800
Excu
rsio
ns
1900
-2400
Con
fere
nce
ban
qu
et
Friday
6July
0900
-0930
Para
llel
sess
ion
s6
Ab
un
dan
ce
est
imati
on
an
dgen
eti
cm
ark
ing
Wild
life
an
db
iod
ivers
ity
Movem
ent
K1
Ch
air:
Gei
rS
torv
ikK2
Ch
air:
Rem
iC
hoqu
etK3
Ch
air:
Pau
lB
lack
wel
l
0900
Reg
ina
Bis
po:
Est
imati
ng
wil
dli
fefa
tali
ties
atw
ind
farm
sin
the
pre
sen
ceof
an
onu
ni-
form
spat
ial
den
sity
(139
)
Nor
ber
tM
enke:
Usi
ng
met
apop
ula
tion
vi-
abil
ity
mod
els
toas
sess
fish
pop
ula
tion
risk
from
regi
onal
wat
erex
trac
tion
imp
acts
(145
)
Eli
ezer
Gu
rari
e:
Tow
ard
sa
gen
eral
form
al-
izat
ion
ofen
cou
nte
rra
tes
inec
olog
y(1
51)
0915
Sim
on
aIm
per
io:
Ab
un
dan
cees
tim
atio
nof
fou
rM
edit
erra
nea
nu
ngu
late
spec
ies
from
rep
lica
ted
cou
nts
:A
hie
rarc
hic
alm
od
elap
-p
roach
(140)
K.A
lexan
dra
Cu
rtis
:A
refe
ren
cep
oint
tool
for
esti
mat
ing
sust
ain
able
inci
den
tal
take
for
age-
stru
ctu
red
pop
ula
tion
s(1
46)
Roci
oJoo
(S):
Mod
elin
gb
ehav
iora
lm
od
esin
fora
gin
gm
ovem
ent
(152
)
0930
An
dre
sL
opez
-Sep
ulc
re(S
):L
ikel
ihood
analy
sis
of
call
-pla
yb
ack
cen
sus
plo
tsto
esti
mate
the
abu
nd
an
ceof
cavit
yn
esti
ng
bir
ds
(141
)
Sco
ttF
oste
r:P
aram
etri
cm
od
elli
ng
for
mu
lti-
spec
ies
hab
itat
s(1
47)
Ron
anF
able
t:H
owto
reve
alth
em
ult
isca
lep
atte
rns
exh
ibit
edby
anim
altr
aje
ctor
ies?
(153
)
0945
Mat
thew
Sch
ofi
eld
::G
enoty
pe
un
cert
ainty
inca
ptu
re-r
ecap
ture
:D
oes
mod
elin
gh
elp
?(1
42)
Eve
Sla
vic
h(S
):W
hat
typ
esof
clim
ate
mea
-su
rem
ents
bes
tp
red
ict
the
dis
trib
uti
onof
bio
div
ersi
ty?
(148
)
Mar
tin
W.
Ped
erse
n:
An
alysi
ng
mov
emen
td
ata
wit
ha
hid
den
Mar
kov
mod
el(1
54)
1000
Jan
ine
Wri
ght:
Clo
sed
pop
ula
tion
gen
etic
mark
-rec
ap
ture
wit
hge
not
yp
ing
erro
ran
dh
eter
ogen
eity
(143
)
Ph
ilH
arri
son
:Id
enti
fyin
gan
dex
plo
rin
gh
otsp
ots
ofb
iod
iver
sity
chan
ge(1
49)
Fra
nk
Har
dis
ty:
Geo
vis
ual
izat
ion
ofth
em
ovem
ent
ofth
eL
ong-
tail
edD
uck
(155
)
1015
Ric
hard
Bar
ker:
Soft
ware
for
cap
ture
-re
cap
ture
typ
em
od
els
usi
ng
gen
etic
tags
(144
)
Ed
wig
eB
elli
er:
Com
bin
ing
cou
nts
and
in-
cid
ence
dat
ato
esti
mat
eco
mm
unit
ysi
m-
ilar
ity
from
atw
o-d
imen
sion
allo
gnor
mal
mod
el(1
50)
Rol
and
Lan
grock
:E
xte
nsi
ons
ofh
idd
enM
arko
vm
od
els
for
anim
alte
lem
etry
dat
a(1
56)
1030
-1100
Coff
ee
Friday
6July
1100
-1230
Para
llel
sess
ion
s7
Pop
ula
tion
dyn
am
ics
Mark
-recap
ture
-recovery
Sta
tist
ical
ecolo
gy
K1
Ch
air
:R
uth
Kin
gK2
Ch
air:
Tor
bjø
rnE
rgon
K3
Ch
air:
Ric
har
dB
arker
1100
Yn
gvil
dV
ind
enes
:In
tegr
alP
roje
ctio
nM
od
elin
g(I
PM
)re
veals
effec
tsof
tem
per
-at
ure
chan
geon
the
stoch
ast
icd
emogra
phy
and
pop
ula
tion
dyn
amic
sof
pik
e(E
sox
lu-
ciu
s)(1
57)
Byro
nM
orga
n:
Sco
rete
sts
inca
ptu
re-
reca
ptu
re(1
62)
Th
omas
F.H
anse
n:
Mea
sure
men
ter
ror
and
mod
eler
ror
inp
hylo
gen
etic
com
par
ativ
em
eth
od
s(1
67)
1115
Lau
ren
Roge
rs:
Usi
ng
stat
e-sp
ace
mod
els
toli
nk
clim
ate
vari
abil
ity
toA
tlan
tic
cod
pop
ula
tion
dyn
amic
sal
ong
the
Norw
egia
nS
kage
rrak
coas
t(1
58)
Fer
nan
do
Col
cher
o:
BaS
TA
:A
nR
pac
k-
age
for
Bay
esia
nes
tim
atio
nof
age-
spec
ific
surv
ival
from
inco
mp
lete
mar
k-
reca
ptu
re/r
ecov
ery
dat
aw
ith
cova
riat
es(1
63)
Ch
ang-
Tai
Ch
ao:
Var
ian
ces,
vari
ance
es-
tim
ator
san
dth
eas
soci
ated
con
fid
ence
in-
terv
als
for
the
rati
oes
tim
ator
sim
pro
ved
by
Rao
-Bla
ckw
elli
zati
onin
adap
tive
clu
ster
sam
pli
ng
(168
)
1130
Pan
agio
tis
Takis
Bes
bea
s:R
epli
cate
dsa
m-
pli
ng
inin
tegra
ted
pop
ula
tion
mod
elli
ng
(159)
Sh
irle
yP
led
ger:
Mod
elli
ng
bre
edin
gre
turn
tim
esin
cap
ture
-rec
aptu
rest
ud
ies
wit
hth
esi
mp
lesa
mp
lin
gsc
hem
e(1
64)
Mar
enR
ebke
:In
tera
ctiv
eeff
ects
ofag
ean
den
vir
onm
ent
onre
pro
du
ctiv
ep
erfo
rman
cein
alo
ng-
live
db
ird
(169
)
1145
Fel
ixM
ass
iot-
Gra
nie
r(S
):B
ayes
ian
mod
el-
ing
ofth
ed
yn
amic
sof
com
ple
xof
salm
onp
op
ula
tion
sin
the
Nor
thA
tlanti
c(1
60)
Jar
leT
uft
o:
Est
imat
ing
Bro
wn
ian
mo-
tion
dis
per
sal
rate
,lo
nge
vit
yan
dp
opu
la-
tion
den
sity
from
spat
iall
yex
pli
cit
mar
k-
reca
ptu
red
ata
ontr
opic
alb
utt
erfl
ies
(165
)
Dan
iel
Tu
rek
(S):
An
ewap
pro
ach
tom
od
el-a
vera
ged
con
fiden
cein
terv
als
(170
)
1200
Ste
ph
enB
ail
lie:
Mod
elli
ng
the
effec
tsof
con
dit
ion
son
the
win
teri
ng
grou
nd
san
dd
ensi
ty-d
epen
den
ceon
pop
ula
tion
chan
ges
ofA
fro-P
ala
earc
tic
mig
rants
(161
)
Ch
enY
u(S
):M
ixtu
rem
od
els
inca
ptu
re-
reca
ptu
re(1
66)
Krz
ysz
tof
Bar
tosz
ek(S
):M
ult
ivar
iate
phy-
loge
net
icco
mp
arat
ive
met
hod
san
dad
apta
-ti
on(1
71)
1215
Mic
hae
lS
pen
ce(S
):U
nce
rtai
nty
inag
ent-
bas
edan
dIn
div
idu
al-b
ased
model
s(1
72)
1230
-1400
Lu
nch
1400
-1530
Ple
nary
-Dronningsalen
J.
An
dre
wR
oyle
:M
od
elin
gre
sourc
ese
lect
ion
and
lan
dsc
ape
resi
stan
cew
ith
spat
ial
cap
ture
-rec
aptu
rem
od
els
(173
)L
enT
hom
as:
Th
efu
ture
ofst
ati
stic
alec
olog
y(1
74)
1530
-1600
Clo
sin
gan
dan
nou
ncem
ent
of
stu
dent
aw
ard
s-Dronningsalen
