Hierarchical Modelling of Species Communities (HMSC) of benthic species, Potter Cove, King George Island, Antarctica

Understanding the distribution and coexistence patterns of (benthic) species in Antarctic ecosystems is crucial for the estimation of present and future carbon turnover, ecosystem management, and conservation. Spatial and predictive modeling of environmental and biological data becomes more and more...

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Main Authors: Pehlke, Hendrik, Neder, Camila, Piotto, Maria, Jerosch, Kerstin
Format: Conference Object
Language:unknown
Published: 2024
Subjects:
Online Access:https://epic.awi.de/id/eprint/59137/
https://epic.awi.de/id/eprint/59137/1/Pehlke%20et%20al_Hierarchical%20Modelling%20of%20Species%20Communities_SCAR2024.pdf
https://hdl.handle.net/10013/epic.965ccc4c-0abc-4e45-af42-732c036e2550
id ftawi:oai:epic.awi.de:59137
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spelling ftawi:oai:epic.awi.de:59137 2024-09-30T14:26:18+00:00 Hierarchical Modelling of Species Communities (HMSC) of benthic species, Potter Cove, King George Island, Antarctica Pehlke, Hendrik Neder, Camila Piotto, Maria Jerosch, Kerstin 2024-08-19 application/pdf https://epic.awi.de/id/eprint/59137/ https://epic.awi.de/id/eprint/59137/1/Pehlke%20et%20al_Hierarchical%20Modelling%20of%20Species%20Communities_SCAR2024.pdf https://hdl.handle.net/10013/epic.965ccc4c-0abc-4e45-af42-732c036e2550 unknown https://epic.awi.de/id/eprint/59137/1/Pehlke%20et%20al_Hierarchical%20Modelling%20of%20Species%20Communities_SCAR2024.pdf Pehlke, H. , Neder, C. , Piotto, M. and Jerosch, K. orcid:0000-0003-0728-2154 (2024) Hierarchical Modelling of Species Communities (HMSC) of benthic species, Potter Cove, King George Island, Antarctica hdl:10013/epic.965ccc4c-0abc-4e45-af42-732c036e2550 EPIC3 Conference NonPeerReviewed 2024 ftawi 2024-09-17T14:21:57Z Understanding the distribution and coexistence patterns of (benthic) species in Antarctic ecosystems is crucial for the estimation of present and future carbon turnover, ecosystem management, and conservation. Spatial and predictive modeling of environmental and biological data becomes more and more important at remote places to understand and to observe the ecological response to global climate change. In our study, we use the Hierarchical Modelling of Species Communities (HMSC) to model the distribution and coexistence of benthic species based on ecological data. The approach implements a Bayesian framework with Gibbs 'Markov chain Monte Carlo' sampling, and enables to assess the influence of phylogenetic information on species distribution patterns. The HMSC at Potter Cove, West Antarctic Peninsula (WAP), includes a variety of environmental variables, such as water temperature, salinity, bathymetry, distance to the glacier, sediment grain size, suspended particulate matter, and current velocity, among others. As a result, we present habitats for selected benthic communities in prediction maps, and we provide the species composition and spatial variability within the study area. We identify the environmental variables with the highest impact on the benthic community distribution, pinpointing the critical ecological factors in times of climate change. And we learn about the species coexistence patterns, the role of species interactions, and phylogenetic relationships in shaping community structures. The application of HMSC at Potter Cove contributes to the estimation of coastal blue carbon at the WAP, and thus to better coastal conservation planning for Polar regions. Conference Object Antarc* Antarctic Antarctic Peninsula Antarctica King George Island Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Antarctic Antarctic Peninsula King George Island Potter Cove
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
description Understanding the distribution and coexistence patterns of (benthic) species in Antarctic ecosystems is crucial for the estimation of present and future carbon turnover, ecosystem management, and conservation. Spatial and predictive modeling of environmental and biological data becomes more and more important at remote places to understand and to observe the ecological response to global climate change. In our study, we use the Hierarchical Modelling of Species Communities (HMSC) to model the distribution and coexistence of benthic species based on ecological data. The approach implements a Bayesian framework with Gibbs 'Markov chain Monte Carlo' sampling, and enables to assess the influence of phylogenetic information on species distribution patterns. The HMSC at Potter Cove, West Antarctic Peninsula (WAP), includes a variety of environmental variables, such as water temperature, salinity, bathymetry, distance to the glacier, sediment grain size, suspended particulate matter, and current velocity, among others. As a result, we present habitats for selected benthic communities in prediction maps, and we provide the species composition and spatial variability within the study area. We identify the environmental variables with the highest impact on the benthic community distribution, pinpointing the critical ecological factors in times of climate change. And we learn about the species coexistence patterns, the role of species interactions, and phylogenetic relationships in shaping community structures. The application of HMSC at Potter Cove contributes to the estimation of coastal blue carbon at the WAP, and thus to better coastal conservation planning for Polar regions.
format Conference Object
author Pehlke, Hendrik
Neder, Camila
Piotto, Maria
Jerosch, Kerstin
spellingShingle Pehlke, Hendrik
Neder, Camila
Piotto, Maria
Jerosch, Kerstin
Hierarchical Modelling of Species Communities (HMSC) of benthic species, Potter Cove, King George Island, Antarctica
author_facet Pehlke, Hendrik
Neder, Camila
Piotto, Maria
Jerosch, Kerstin
author_sort Pehlke, Hendrik
title Hierarchical Modelling of Species Communities (HMSC) of benthic species, Potter Cove, King George Island, Antarctica
title_short Hierarchical Modelling of Species Communities (HMSC) of benthic species, Potter Cove, King George Island, Antarctica
title_full Hierarchical Modelling of Species Communities (HMSC) of benthic species, Potter Cove, King George Island, Antarctica
title_fullStr Hierarchical Modelling of Species Communities (HMSC) of benthic species, Potter Cove, King George Island, Antarctica
title_full_unstemmed Hierarchical Modelling of Species Communities (HMSC) of benthic species, Potter Cove, King George Island, Antarctica
title_sort hierarchical modelling of species communities (hmsc) of benthic species, potter cove, king george island, antarctica
publishDate 2024
url https://epic.awi.de/id/eprint/59137/
https://epic.awi.de/id/eprint/59137/1/Pehlke%20et%20al_Hierarchical%20Modelling%20of%20Species%20Communities_SCAR2024.pdf
https://hdl.handle.net/10013/epic.965ccc4c-0abc-4e45-af42-732c036e2550
geographic Antarctic
Antarctic Peninsula
King George Island
Potter Cove
geographic_facet Antarctic
Antarctic Peninsula
King George Island
Potter Cove
genre Antarc*
Antarctic
Antarctic Peninsula
Antarctica
King George Island
genre_facet Antarc*
Antarctic
Antarctic Peninsula
Antarctica
King George Island
op_source EPIC3
op_relation https://epic.awi.de/id/eprint/59137/1/Pehlke%20et%20al_Hierarchical%20Modelling%20of%20Species%20Communities_SCAR2024.pdf
Pehlke, H. , Neder, C. , Piotto, M. and Jerosch, K. orcid:0000-0003-0728-2154 (2024) Hierarchical Modelling of Species Communities (HMSC) of benthic species, Potter Cove, King George Island, Antarctica hdl:10013/epic.965ccc4c-0abc-4e45-af42-732c036e2550
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