resolving biogeographic patterns in the deep sea using ...resolving biogeographic patterns in the...
TRANSCRIPT
![Page 1: Resolving biogeographic patterns in the deep sea using ...Resolving biogeographic patterns in the deep sea using species distribution modeling Samuel Georgian Marine Conservation Institute](https://reader034.vdocuments.us/reader034/viewer/2022052100/60399f48588d674a4b66dd45/html5/thumbnails/1.jpg)
Resolving biogeographic patterns in the deep sea using species distribution modeling
Samuel Georgian
Marine Conservation Institute
Seattle, Washington, USA
PICES WG32 – November 2nd 2016 1
![Page 2: Resolving biogeographic patterns in the deep sea using ...Resolving biogeographic patterns in the deep sea using species distribution modeling Samuel Georgian Marine Conservation Institute](https://reader034.vdocuments.us/reader034/viewer/2022052100/60399f48588d674a4b66dd45/html5/thumbnails/2.jpg)
PICES WG32 – November 2nd 2016 2
Biogeography of Lophelia pertusa
Erik CordesWilliam Shedd
1. What niche space does L. pertusa occupy in the Gulf of Mexico?2. What is the likely distribution?3. Can we predict occurrences accurately enough to inform field
operations?
![Page 3: Resolving biogeographic patterns in the deep sea using ...Resolving biogeographic patterns in the deep sea using species distribution modeling Samuel Georgian Marine Conservation Institute](https://reader034.vdocuments.us/reader034/viewer/2022052100/60399f48588d674a4b66dd45/html5/thumbnails/3.jpg)
PICES WG32 – November 2nd 2016 3
Maxent Modeling
• Broad scale model: 25 m• Fine scale models (7 sites): 5-8 m• Variables:
-Rugosity-Slope-Eastness/Westness-Curvature (plan/profile/tangential)-Seismic (hard bottoms)-Topographic Position Index (fine/broad scales)-Omega aragonite-POC flux
![Page 4: Resolving biogeographic patterns in the deep sea using ...Resolving biogeographic patterns in the deep sea using species distribution modeling Samuel Georgian Marine Conservation Institute](https://reader034.vdocuments.us/reader034/viewer/2022052100/60399f48588d674a4b66dd45/html5/thumbnails/4.jpg)
PICES WG32 – November 2nd 2016 4
Broad scale (25 m) model
22.1%
33.6%
TPI (broad)
![Page 5: Resolving biogeographic patterns in the deep sea using ...Resolving biogeographic patterns in the deep sea using species distribution modeling Samuel Georgian Marine Conservation Institute](https://reader034.vdocuments.us/reader034/viewer/2022052100/60399f48588d674a4b66dd45/html5/thumbnails/5.jpg)
PICES WG32 – November 2nd 2016 5
Viosca Knoll 826 model
TPI (broad)
![Page 6: Resolving biogeographic patterns in the deep sea using ...Resolving biogeographic patterns in the deep sea using species distribution modeling Samuel Georgian Marine Conservation Institute](https://reader034.vdocuments.us/reader034/viewer/2022052100/60399f48588d674a4b66dd45/html5/thumbnails/6.jpg)
PICES WG32 – November 2nd 2016 6
Importance of hard substrate
• Broad scale model• Location of hard bottom polygons from BOEM
seismic and geologic data analysis• Model contribution: 43%
• Fine scale model• Binning of high-resolution seismic reflectivity survey
at each site• Average model contribution: 25%
![Page 7: Resolving biogeographic patterns in the deep sea using ...Resolving biogeographic patterns in the deep sea using species distribution modeling Samuel Georgian Marine Conservation Institute](https://reader034.vdocuments.us/reader034/viewer/2022052100/60399f48588d674a4b66dd45/html5/thumbnails/7.jpg)
PICES WG32 – November 2nd 2016 7
Model validation
• Regularization parameter tuned• Controls model complexity
• Model performance assessed via:• Training data (75%)• Testing data (25%)• Ground-truthing data• Independent AUV survey• 7 random transects over site• 3,000+ images analyzed
![Page 8: Resolving biogeographic patterns in the deep sea using ...Resolving biogeographic patterns in the deep sea using species distribution modeling Samuel Georgian Marine Conservation Institute](https://reader034.vdocuments.us/reader034/viewer/2022052100/60399f48588d674a4b66dd45/html5/thumbnails/8.jpg)
PICES WG32 – November 2nd 2016 8
Transferability of the model
![Page 9: Resolving biogeographic patterns in the deep sea using ...Resolving biogeographic patterns in the deep sea using species distribution modeling Samuel Georgian Marine Conservation Institute](https://reader034.vdocuments.us/reader034/viewer/2022052100/60399f48588d674a4b66dd45/html5/thumbnails/9.jpg)
PICES WG32 – November 2nd 2016 9
Groundtruthing Viosca Knoll
![Page 10: Resolving biogeographic patterns in the deep sea using ...Resolving biogeographic patterns in the deep sea using species distribution modeling Samuel Georgian Marine Conservation Institute](https://reader034.vdocuments.us/reader034/viewer/2022052100/60399f48588d674a4b66dd45/html5/thumbnails/10.jpg)
PICES WG32 – November 2nd 2016 10
Groundtruthing Viosca Knoll
![Page 11: Resolving biogeographic patterns in the deep sea using ...Resolving biogeographic patterns in the deep sea using species distribution modeling Samuel Georgian Marine Conservation Institute](https://reader034.vdocuments.us/reader034/viewer/2022052100/60399f48588d674a4b66dd45/html5/thumbnails/11.jpg)
PICES WG32 – November 2nd 2016 11
Conclusions
• L. pertusa’s distribution delineated with a few variables: substrate, terrain, depth
• Clear preference for elevated, irregular topography with hard substrate
• Not hard to get models that perform well, need independent validation and ground-truthing
• Default settings test well but do not transfer to new sites
• Likely many undiscovered L. pertusa sites in the Gulf of Mexico
![Page 12: Resolving biogeographic patterns in the deep sea using ...Resolving biogeographic patterns in the deep sea using species distribution modeling Samuel Georgian Marine Conservation Institute](https://reader034.vdocuments.us/reader034/viewer/2022052100/60399f48588d674a4b66dd45/html5/thumbnails/12.jpg)
PICES WG32 – November 2nd 2016 12
Ecological speciation in the deep sea
• How is diversity in the deep-sea generated?• Testing the depth-divergence hypothesis (Rex &
Etter 2010)
Key Questions:1. Do closely related species of cold-water corals
occupy distinct ecological niches?2. Is niche divergence important in the evolution
of these species?
Temple UniversityErik CordesAndrea Quattrini
![Page 13: Resolving biogeographic patterns in the deep sea using ...Resolving biogeographic patterns in the deep sea using species distribution modeling Samuel Georgian Marine Conservation Institute](https://reader034.vdocuments.us/reader034/viewer/2022052100/60399f48588d674a4b66dd45/html5/thumbnails/13.jpg)
PICES WG32 – November 2nd 2016 13
Maxent Modeling
• Resolution: 5, 25 m• Variables:
-Rugosity-Slope-Eastness/Westness-Curvature (plan/profile/tangential)-Seismic (hard bottoms)-Topographic Position Index (fine/broad scales)-Omega calcite-POC flux-Dissolved oxygen-Salinity-Temperature-Presence of seep
![Page 14: Resolving biogeographic patterns in the deep sea using ...Resolving biogeographic patterns in the deep sea using species distribution modeling Samuel Georgian Marine Conservation Institute](https://reader034.vdocuments.us/reader034/viewer/2022052100/60399f48588d674a4b66dd45/html5/thumbnails/14.jpg)
PICES WG32 – November 2nd 2016 14
Genetically and morphologically distinct
Quattrini et al. 2013 Molecular Ecology
![Page 15: Resolving biogeographic patterns in the deep sea using ...Resolving biogeographic patterns in the deep sea using species distribution modeling Samuel Georgian Marine Conservation Institute](https://reader034.vdocuments.us/reader034/viewer/2022052100/60399f48588d674a4b66dd45/html5/thumbnails/15.jpg)
PICES WG32 – November 2nd 2016 15
Ecologically distinct?
C. gracilisC. a. delta
Habitat suitabilityindex
1.0
0.0
0.4
0.6
0.2
0.8
![Page 16: Resolving biogeographic patterns in the deep sea using ...Resolving biogeographic patterns in the deep sea using species distribution modeling Samuel Georgian Marine Conservation Institute](https://reader034.vdocuments.us/reader034/viewer/2022052100/60399f48588d674a4b66dd45/html5/thumbnails/16.jpg)
PICES WG32 – November 2nd 2016 16
Callogorgia niche space
Depth – 70.6%Salinity – 10.7%Dissolved oxygen – 9.3%AUC=0.977±0.004
Seep presence – 58.3%Calcite – 19.8%Salinity – 9.4% AUC=0.995±0.002
![Page 17: Resolving biogeographic patterns in the deep sea using ...Resolving biogeographic patterns in the deep sea using species distribution modeling Samuel Georgian Marine Conservation Institute](https://reader034.vdocuments.us/reader034/viewer/2022052100/60399f48588d674a4b66dd45/html5/thumbnails/17.jpg)
PICES WG32 – November 2nd 2016 17
Ecological speciation in the deep sea
Two-tailed T-test, p<0.001
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
0.50
Seep Non-seep
Ave
rage
su
itab
ility
ind
ex
C. am. deltaC. gracilis
**
*
C. a. delta
C. gracilis
![Page 18: Resolving biogeographic patterns in the deep sea using ...Resolving biogeographic patterns in the deep sea using species distribution modeling Samuel Georgian Marine Conservation Institute](https://reader034.vdocuments.us/reader034/viewer/2022052100/60399f48588d674a4b66dd45/html5/thumbnails/18.jpg)
PICES WG32 – November 2nd 2016 18
Identity test (ENM Tools)
0
10
20
30
40
50
60
0.0
0
0.0
5
0.1
0
0.1
5
0.2
0
0.2
5
0.3
0
0.3
5
0.4
0
0.4
5
0.5
0
0.5
5
0.6
0
0.6
5
0.7
0
0.7
5
0.8
0
0.8
5
0.9
0
0.9
5
1.0
0
Freq
ue
ncy
I metric
Measured overlap (I = 0.014, p<0.001)
Pseudoreplicate overlap (±95% CI)
![Page 19: Resolving biogeographic patterns in the deep sea using ...Resolving biogeographic patterns in the deep sea using species distribution modeling Samuel Georgian Marine Conservation Institute](https://reader034.vdocuments.us/reader034/viewer/2022052100/60399f48588d674a4b66dd45/html5/thumbnails/19.jpg)
PICES WG32 – November 2nd 2016 19
Background test (ENM Tools)
0
2
4
6
8
10
12
14
16
18
200
.01
0.0
2
0.0
3
0.0
3
0.0
4
0.0
5
0.0
6
0.0
7
0.0
7
0.0
8
0.0
9
0.1
0
0.1
1
0.1
1
0.1
2
0.1
3
0.1
4
0.1
5
Freq
ue
ncy
I Metric
Measured overlap (I = 0.014,p<0.001)
C. a. deltaenvironment
C. gracilisenvironment
![Page 20: Resolving biogeographic patterns in the deep sea using ...Resolving biogeographic patterns in the deep sea using species distribution modeling Samuel Georgian Marine Conservation Institute](https://reader034.vdocuments.us/reader034/viewer/2022052100/60399f48588d674a4b66dd45/html5/thumbnails/20.jpg)
PICES WG32 – November 2nd 2016 20
Ecological speciation in the deep sea
• C. a. delta – a non-seep organism with a clear seep preference
• C. gracilis and C. a. delta occupy distinct niches
• Our results support the depth-divergence hypothesis
• Depth or depth-related variables?
• Did ecology drive speciation, or did niches diverge after speciation?
Quattrini et al. 2013 Molecular Ecology
![Page 21: Resolving biogeographic patterns in the deep sea using ...Resolving biogeographic patterns in the deep sea using species distribution modeling Samuel Georgian Marine Conservation Institute](https://reader034.vdocuments.us/reader034/viewer/2022052100/60399f48588d674a4b66dd45/html5/thumbnails/21.jpg)
PICES WG32 – November 2nd 2016 21
Acknowledgements
ECOGIG
NSF GRFP (Grant No. DGE-1144462), NSF GROW
SICB Grants in Aid of Research
NSF OA Grant to Cordes and Kulathinal
GOMRI and ECOGIG
BOEM and NOAA-OER (#M08PC20038)
Temple University – Dissertation completion grant
Erik Cordes – Temple University
Andrea Quattrini – Temple University
Bill Shedd – BOEM
Kody Kramer - BOEM