Integrating catchment properties in small scale species distribution models of stream macroinvertebrates
文献类型：期刊论文
| 作者 | Kuemmerlen, Mathias1,2,3; Schmalz, Britta4; Guse, Bjoern4; Cai, Qinghua5; Fohrer, Nicola4; Jaehnig, Sonja C.1,2,3,6 |
| 刊名 | ECOLOGICAL MODELLING
 |
| 出版日期 | 2014-04-10 |
| 卷号 | 277页码:77-86 |
| ISSN号 | 0304-3800 |
| 关键词 | Species distribution Predictive models Stream macroinvertebrates Catchment Predictor analysis |
| 通讯作者 | Kuemmerlen, M (reprint author), Senckenberg Res Inst, Clamecystr 12, D-63571 Gelnhausen, Germany. |
| 中文摘要 | 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. |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
| 类目[WOS] | Ecology |
| 研究领域[WOS] | Environmental Sciences & Ecology |
| 关键词[WOS] | FRESH-WATER BIODIVERSITY ; CLIMATE-CHANGE ; AQUATIC ECOSYSTEMS ; LAND-USE ; LOWLAND CATCHMENT ; SPATIAL SCALES ; CONSERVATION ; FISH ; RIVER ; MANAGEMENT |
| 资助信息 | 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] |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000333775800007 |
| 公开日期 | 2014-08-07 |
| 源URL | [http://ir.ihb.ac.cn/handle/342005/20015]  |
| 专题 | 水生生物研究所_淡水生态学研究中心_期刊论文 |
| 作者单位 | 1.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 |
| 推荐引用方式 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,&Jaehnig, Sonja C..(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. |
入库方式： OAI收割
来源：水生生物研究所
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