Beyond connecting the dots: A multi-scale, multi-resolution approach to marine habitat mapping

Conflicts of interests between economic and nature conservation stakeholders are increasingly common in coastal seas, inducing a growing need for evidence-based marine spatial planning. This requires accurate, high-resolution habitat maps showing the spatial distribution of benthic assemblages and e...

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Autores principales:	Karin J. van der Reijden, Laura L. Govers, Leo Koop, Johan H. Damveld, Peter M.J. Herman, Sebastiaan Mestdagh, Gerjan Piet, Adriaan D. Rijnsdorp, Grete E. Dinesen, Mirjam Snellen, Han Olff
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Benthic faunal assemblages Demersal fisheries Hierarchical clustering Marine habitat mapping Marine Spatial Planning Physiotopes Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/66be52e1125b4d28a1b084153d9b2588
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spelling	oai:doaj.org-article:66be52e1125b4d28a1b084153d9b25882021-12-01T04:54:28ZBeyond connecting the dots: A multi-scale, multi-resolution approach to marine habitat mapping1470-160X10.1016/j.ecolind.2021.107849https://doaj.org/article/66be52e1125b4d28a1b084153d9b25882021-09-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21005148https://doaj.org/toc/1470-160XConflicts of interests between economic and nature conservation stakeholders are increasingly common in coastal seas, inducing a growing need for evidence-based marine spatial planning. This requires accurate, high-resolution habitat maps showing the spatial distribution of benthic assemblages and enabling intersections of habitats and anthropogenic activities. However, such detailed maps are often not available because relevant biological data are scarce or poorly integrated. Instead, physiotope maps, solely based on abiotic variables, are now often used in marine spatial planning. Here, we investigated how pointwise, relatively sparse biological data can be integrated with gridded, high-resolution environmental data into informative habitat maps, using the intensively used southern North Sea as a case-study. We first conducted hierarchical clustering to identify discrete biological assemblages for three faunal groups: demersal fish, epifauna, and endobenthos. Using Random Forest models with high-resolution abiotic predictors, we then interpolated the distribution of these assemblages to high resolution grids. Finally, we quantified different anthropogenic pressures for each habitat. Habitat maps comprised a different number of habitats between faunal groups (6, 13, and 10 for demersal fish, epifauna, and endobenthos respectively) but showed similar spatial patterns for each group. Several of these ‘fauna-inclusive’ habitats resembled physiotopes, but substantial differences were also observed, especially when few (6; demersal fish) or most (13; epifauna) physiotopes were delineated. Demersal fishing and offshore wind farms (OWFs) were clearly associated with specific habitats, resulting in unequal anthropogenic pressure between different habitats. Natura-2000 areas were not specifically associated with demersal fishing, but OWFs were situated mostly inside these protected areas. We thus conclude that habitat maps derived from biological datasets that cover relevant faunal groups should be included more in ecology-inclusive marine spatial planning, instead of only using physiotope maps based on abiotic variables. This allows better balancing of nature conservation and socio-economic interests in continental shelf seas.Karin J. van der ReijdenLaura L. GoversLeo KoopJohan H. DamveldPeter M.J. HermanSebastiaan MestdaghGerjan PietAdriaan D. RijnsdorpGrete E. DinesenMirjam SnellenHan OlffElsevierarticleBenthic faunal assemblagesDemersal fisheriesHierarchical clusteringMarine habitat mappingMarine Spatial PlanningPhysiotopesEcologyQH540-549.5ENEcological Indicators, Vol 128, Iss , Pp 107849- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Benthic faunal assemblages Demersal fisheries Hierarchical clustering Marine habitat mapping Marine Spatial Planning Physiotopes Ecology QH540-549.5
spellingShingle	Benthic faunal assemblages Demersal fisheries Hierarchical clustering Marine habitat mapping Marine Spatial Planning Physiotopes Ecology QH540-549.5 Karin J. van der Reijden Laura L. Govers Leo Koop Johan H. Damveld Peter M.J. Herman Sebastiaan Mestdagh Gerjan Piet Adriaan D. Rijnsdorp Grete E. Dinesen Mirjam Snellen Han Olff Beyond connecting the dots: A multi-scale, multi-resolution approach to marine habitat mapping
description	Conflicts of interests between economic and nature conservation stakeholders are increasingly common in coastal seas, inducing a growing need for evidence-based marine spatial planning. This requires accurate, high-resolution habitat maps showing the spatial distribution of benthic assemblages and enabling intersections of habitats and anthropogenic activities. However, such detailed maps are often not available because relevant biological data are scarce or poorly integrated. Instead, physiotope maps, solely based on abiotic variables, are now often used in marine spatial planning. Here, we investigated how pointwise, relatively sparse biological data can be integrated with gridded, high-resolution environmental data into informative habitat maps, using the intensively used southern North Sea as a case-study. We first conducted hierarchical clustering to identify discrete biological assemblages for three faunal groups: demersal fish, epifauna, and endobenthos. Using Random Forest models with high-resolution abiotic predictors, we then interpolated the distribution of these assemblages to high resolution grids. Finally, we quantified different anthropogenic pressures for each habitat. Habitat maps comprised a different number of habitats between faunal groups (6, 13, and 10 for demersal fish, epifauna, and endobenthos respectively) but showed similar spatial patterns for each group. Several of these ‘fauna-inclusive’ habitats resembled physiotopes, but substantial differences were also observed, especially when few (6; demersal fish) or most (13; epifauna) physiotopes were delineated. Demersal fishing and offshore wind farms (OWFs) were clearly associated with specific habitats, resulting in unequal anthropogenic pressure between different habitats. Natura-2000 areas were not specifically associated with demersal fishing, but OWFs were situated mostly inside these protected areas. We thus conclude that habitat maps derived from biological datasets that cover relevant faunal groups should be included more in ecology-inclusive marine spatial planning, instead of only using physiotope maps based on abiotic variables. This allows better balancing of nature conservation and socio-economic interests in continental shelf seas.
format	article
author	Karin J. van der Reijden Laura L. Govers Leo Koop Johan H. Damveld Peter M.J. Herman Sebastiaan Mestdagh Gerjan Piet Adriaan D. Rijnsdorp Grete E. Dinesen Mirjam Snellen Han Olff
author_facet	Karin J. van der Reijden Laura L. Govers Leo Koop Johan H. Damveld Peter M.J. Herman Sebastiaan Mestdagh Gerjan Piet Adriaan D. Rijnsdorp Grete E. Dinesen Mirjam Snellen Han Olff
author_sort	Karin J. van der Reijden
title	Beyond connecting the dots: A multi-scale, multi-resolution approach to marine habitat mapping
title_short	Beyond connecting the dots: A multi-scale, multi-resolution approach to marine habitat mapping
title_full	Beyond connecting the dots: A multi-scale, multi-resolution approach to marine habitat mapping
title_fullStr	Beyond connecting the dots: A multi-scale, multi-resolution approach to marine habitat mapping
title_full_unstemmed	Beyond connecting the dots: A multi-scale, multi-resolution approach to marine habitat mapping
title_sort	beyond connecting the dots: a multi-scale, multi-resolution approach to marine habitat mapping
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/66be52e1125b4d28a1b084153d9b2588
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Beyond connecting the dots: A multi-scale, multi-resolution approach to marine habitat mapping

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