A mixed modeling approach to predict the effect of environmental modification on species distributions.
Human infrastructures can modify ecosystems, thereby affecting the occurrence and spatial distribution of organisms, as well as ecosystem functionality. Sustainable development requires the ability to predict responses of species to anthropogenic pressures. We investigated the large scale, long term...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2014-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0089131&type=printable |
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| author | Francesco Cozzoli Menno Eelkema Tjeerd J Bouma Tom Ysebaert Vincent Escaravage Peter M J Herman |
| author_facet | Francesco Cozzoli Menno Eelkema Tjeerd J Bouma Tom Ysebaert Vincent Escaravage Peter M J Herman |
| author_sort | Francesco Cozzoli |
| collection | DOAJ |
| description | Human infrastructures can modify ecosystems, thereby affecting the occurrence and spatial distribution of organisms, as well as ecosystem functionality. Sustainable development requires the ability to predict responses of species to anthropogenic pressures. We investigated the large scale, long term effect of important human alterations of benthic habitats with an integrated approach combining engineering and ecological modelling. We focused our analysis on the Oosterschelde basin (The Netherlands), which was partially embanked by a storm surge barrier (Oosterscheldekering, 1986). We made use of 1) a prognostic (numerical) environmental (hydrodynamic) model and 2) a novel application of quantile regression to Species Distribution Modeling (SDM) to simulate both the realized and potential (habitat suitability) abundance of four macrozoobenthic species: Scoloplos armiger, Peringia ulvae, Cerastoderma edule and Lanice conchilega. The analysis shows that part of the fluctuations in macrozoobenthic biomass stocks during the last decades is related to the effect of the coastal defense infrastructures on the basin morphology and hydrodynamics. The methodological framework we propose is particularly suitable for the analysis of large abundance datasets combined with high-resolution environmental data. Our analysis provides useful information on future changes in ecosystem functionality induced by human activities. |
| format | Article |
| id | doaj-art-1a70daddd31f4bd5b7259464d7d2ec48 |
| institution | DOAJ |
| issn | 1932-6203 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-1a70daddd31f4bd5b7259464d7d2ec482025-08-20T03:11:54ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0192e8913110.1371/journal.pone.0089131A mixed modeling approach to predict the effect of environmental modification on species distributions.Francesco CozzoliMenno EelkemaTjeerd J BoumaTom YsebaertVincent EscaravagePeter M J HermanHuman infrastructures can modify ecosystems, thereby affecting the occurrence and spatial distribution of organisms, as well as ecosystem functionality. Sustainable development requires the ability to predict responses of species to anthropogenic pressures. We investigated the large scale, long term effect of important human alterations of benthic habitats with an integrated approach combining engineering and ecological modelling. We focused our analysis on the Oosterschelde basin (The Netherlands), which was partially embanked by a storm surge barrier (Oosterscheldekering, 1986). We made use of 1) a prognostic (numerical) environmental (hydrodynamic) model and 2) a novel application of quantile regression to Species Distribution Modeling (SDM) to simulate both the realized and potential (habitat suitability) abundance of four macrozoobenthic species: Scoloplos armiger, Peringia ulvae, Cerastoderma edule and Lanice conchilega. The analysis shows that part of the fluctuations in macrozoobenthic biomass stocks during the last decades is related to the effect of the coastal defense infrastructures on the basin morphology and hydrodynamics. The methodological framework we propose is particularly suitable for the analysis of large abundance datasets combined with high-resolution environmental data. Our analysis provides useful information on future changes in ecosystem functionality induced by human activities.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0089131&type=printable |
| spellingShingle | Francesco Cozzoli Menno Eelkema Tjeerd J Bouma Tom Ysebaert Vincent Escaravage Peter M J Herman A mixed modeling approach to predict the effect of environmental modification on species distributions. PLoS ONE |
| title | A mixed modeling approach to predict the effect of environmental modification on species distributions. |
| title_full | A mixed modeling approach to predict the effect of environmental modification on species distributions. |
| title_fullStr | A mixed modeling approach to predict the effect of environmental modification on species distributions. |
| title_full_unstemmed | A mixed modeling approach to predict the effect of environmental modification on species distributions. |
| title_short | A mixed modeling approach to predict the effect of environmental modification on species distributions. |
| title_sort | mixed modeling approach to predict the effect of environmental modification on species distributions |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0089131&type=printable |
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