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Integrating catchment properties in small scale species distribution models of stream macroinvertebrates
Kuemmerlen, Mathias1,2,3; Schmalz, Britta4; Guse, Bjoern4; Cai, Qinghua5; Fohrer, Nicola4; Jaehnig, Sonja C.1,2,3,6; Kuemmerlen, M (reprint author), Senckenberg Res Inst, Clamecystr 12, D-63571 Gelnhausen, Germany.
2014-04-10
Source PublicationECOLOGICAL MODELLING
ISSN0304-3800
Volume277Pages:77-86
AbstractSpecies distribution models are increasingly applied to freshwater ecosystems. Most applications use large scales, coarse resolutions and anthropocentric modelling extents, thus not being able to consider important environmental predictors and ecological processes detectable within a catchment and at finer scales. Moreover, high resolution predictions of species distribution in streams can help improve our understanding of how environmental variables within a catchment affect the distribution of stream macroinvertebrates. We built models at a resolution of 25 m x 25 m for a 488 km(2) catchment in northern Germany to determine whether the spatial approach in which environmental predictors are implemented in the model affects the overall performance. We used predictors from four different categories relevant to freshwater ecosystems: bioclimatic, topographic, hydrologic and land use. Two spatial approaches were tested: a local one, or grid based and a cumulative for the upstream area, or subcatchment specific. Models were evaluated in terms of model performance and accuracy in order to identify the approach best suited for each category, as well as the most important predictor in each. In the case of the land use category, the subcatchment approach made a significant difference, increasing performance. A final model, calibrated with the selected predictors, resulted in the highest model performance and accuracy. Our results indicate that species distribution models perform well and are accurate at high resolutions, within small catchments. We conclude that catchment wide models, especially when using predictors from multiple categories, have the potential to significantly improve modelling framework of species distribution in freshwater ecosystems. The information produced by accurate, small scale, species distribution models can guide managers and conservation practitioners, by predicting the effects of management decisions within a catchment. We suggest that highly resolved predictors be applied in models using the catchment approach. (C) 2014 Elsevier B.V. All rights reserved.; Species distribution models are increasingly applied to freshwater ecosystems. Most applications use large scales, coarse resolutions and anthropocentric modelling extents, thus not being able to consider important environmental predictors and ecological processes detectable within a catchment and at finer scales. Moreover, high resolution predictions of species distribution in streams can help improve our understanding of how environmental variables within a catchment affect the distribution of stream macroinvertebrates. We built models at a resolution of 25 m x 25 m for a 488 km(2) catchment in northern Germany to determine whether the spatial approach in which environmental predictors are implemented in the model affects the overall performance. We used predictors from four different categories relevant to freshwater ecosystems: bioclimatic, topographic, hydrologic and land use. Two spatial approaches were tested: a local one, or grid based and a cumulative for the upstream area, or subcatchment specific. Models were evaluated in terms of model performance and accuracy in order to identify the approach best suited for each category, as well as the most important predictor in each. In the case of the land use category, the subcatchment approach made a significant difference, increasing performance. A final model, calibrated with the selected predictors, resulted in the highest model performance and accuracy. Our results indicate that species distribution models perform well and are accurate at high resolutions, within small catchments. We conclude that catchment wide models, especially when using predictors from multiple categories, have the potential to significantly improve modelling framework of species distribution in freshwater ecosystems. The information produced by accurate, small scale, species distribution models can guide managers and conservation practitioners, by predicting the effects of management decisions within a catchment. We suggest that highly resolved predictors be applied in models using the catchment approach. (C) 2014 Elsevier B.V. All rights reserved.
SubtypeArticle
KeywordSpecies Distribution Predictive Models Stream Macroinvertebrates Catchment Predictor Analysis
Department[Kuemmerlen, Mathias ; Jaehnig, Sonja C.] Biodivers & Climate Res Ctr BiK F, D-60325 Frankfurt, Germany ; [Kuemmerlen, Mathias ; Jaehnig, Sonja C.] Senckenberg Res Inst, D-63571 Gelnhausen, Germany ; [Kuemmerlen, Mathias ; Jaehnig, Sonja C.] Nat Hist Museum Frankfurt, Dept River Ecol & Conservat, D-63571 Gelnhausen, Germany ; [Schmalz, Britta ; Guse, Bjoern ; Fohrer, Nicola] Univ Kiel, Dept Hydrol & Water Resources Management, D-24118 Kiel, Germany ; [Cai, Qinghua] Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Peoples R China ; [Jaehnig, Sonja C.] Leibniz Inst Freshwater Ecol & Inland Fisheries I, Dept Ecosyst Res, D-12587 Berlin, Germany
DOI10.1016/j.ecolmodel.2014.01.020
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
Funding OrganizationGerman Research Foundation (DFG); China as part of the National Natural Science Foundation of China (NSFC)/DFG; German Federal Environmental Foundation (DBU) [20007/897]; German Federal Ministry for Education and Research (BMBF) via the IWRM-net project IMPACT, [02WM1136] ; German Research Foundation (DFG); China as part of the National Natural Science Foundation of China (NSFC)/DFG; German Federal Environmental Foundation (DBU) [20007/897]; German Federal Ministry for Education and Research (BMBF) via the IWRM-net project IMPACT, [02WM1136] ; German Research Foundation (DFG); China as part of the National Natural Science Foundation of China (NSFC)/DFG; German Federal Environmental Foundation (DBU) [20007/897]; German Federal Ministry for Education and Research (BMBF) via the IWRM-net project IMPACT, [02WM1136] ; German Research Foundation (DFG); China as part of the National Natural Science Foundation of China (NSFC)/DFG; German Federal Environmental Foundation (DBU) [20007/897]; German Federal Ministry for Education and Research (BMBF) via the IWRM-net project IMPACT, [02WM1136]
Indexed BySCI
Language英语
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEcology
WOS IDWOS:000333775800007
WOS KeywordFRESH-WATER BIODIVERSITY ; CLIMATE-CHANGE ; AQUATIC ECOSYSTEMS ; LAND-USE ; LOWLAND CATCHMENT ; SPATIAL SCALES ; CONSERVATION ; FISH ; RIVER ; MANAGEMENT
Funding OrganizationGerman Research Foundation (DFG); China as part of the National Natural Science Foundation of China (NSFC)/DFG; German Federal Environmental Foundation (DBU) [20007/897]; German Federal Ministry for Education and Research (BMBF) via the IWRM-net project IMPACT, [02WM1136] ; German Research Foundation (DFG); China as part of the National Natural Science Foundation of China (NSFC)/DFG; German Federal Environmental Foundation (DBU) [20007/897]; German Federal Ministry for Education and Research (BMBF) via the IWRM-net project IMPACT, [02WM1136] ; German Research Foundation (DFG); China as part of the National Natural Science Foundation of China (NSFC)/DFG; German Federal Environmental Foundation (DBU) [20007/897]; German Federal Ministry for Education and Research (BMBF) via the IWRM-net project IMPACT, [02WM1136] ; German Research Foundation (DFG); China as part of the National Natural Science Foundation of China (NSFC)/DFG; German Federal Environmental Foundation (DBU) [20007/897]; German Federal Ministry for Education and Research (BMBF) via the IWRM-net project IMPACT, [02WM1136]
Citation statistics
Cited Times:48[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ihb.ac.cn/handle/342005/20015
Collection淡水生态学研究中心_期刊论文
Corresponding AuthorKuemmerlen, M (reprint author), Senckenberg Res Inst, Clamecystr 12, D-63571 Gelnhausen, Germany.
Affiliation1.Biodivers & Climate Res Ctr BiK F, D-60325 Frankfurt, Germany
2.Senckenberg Res Inst, D-63571 Gelnhausen, Germany
3.Nat Hist Museum Frankfurt, Dept River Ecol & Conservat, D-63571 Gelnhausen, Germany
4.Univ Kiel, Dept Hydrol & Water Resources Management, D-24118 Kiel, Germany
5.Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Peoples R China
6.Leibniz Inst Freshwater Ecol & Inland Fisheries I, Dept Ecosyst Res, D-12587 Berlin, Germany
Recommended Citation
GB/T 7714
Kuemmerlen, Mathias,Schmalz, Britta,Guse, Bjoern,et al. Integrating catchment properties in small scale species distribution models of stream macroinvertebrates[J]. ECOLOGICAL MODELLING,2014,277:77-86.
APA Kuemmerlen, Mathias.,Schmalz, Britta.,Guse, Bjoern.,Cai, Qinghua.,Fohrer, Nicola.,...&Kuemmerlen, M .(2014).Integrating catchment properties in small scale species distribution models of stream macroinvertebrates.ECOLOGICAL MODELLING,277,77-86.
MLA Kuemmerlen, Mathias,et al."Integrating catchment properties in small scale species distribution models of stream macroinvertebrates".ECOLOGICAL MODELLING 277(2014):77-86.
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