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Modelling of riverine ecosystems by integrating models: conceptual approach, a case study and research agenda
Jaehnig, Sonja C.1,2,3; Kuemmerlen, Mathias1,2,3; Kiesel, Jens4; Domisch, Sami1,2,3; Cai, Qinghua5; Schmalz, Britta4; Fohrer, Nicola4; Jahnig, SC (reprint author), Senckenberg, Dept River Ecol & Conservat, Nat Hist Museum Frankfurt, Clamecystr 12, D-63571 Gelnhausen, Germany.
2012-12-01
Source PublicationJOURNAL OF BIOGEOGRAPHY
ISSN0305-0270
Volume39Issue:12Pages:2253-2263
AbstractAim Highly complex interactions between the hydrosphere and biosphere, as well as multifactorial relationships, characterize the interconnecting role of streams and rivers between different elements of a landscape. Applying species distribution models (SDMs) in these ecosystems requires special attention because rivers are linear systems and their abiotic and biotic conditions are structured in a linear fashion with significant influences from upstream/downstream or lateral influences from adjacent areas. Our aim was to develop a modelling framework for benthic invertebrates in riverine ecosystems and to test our approach in a data-rich study catchment. Location We present a case study of a 9-km section of the lowland Kielstau River located in northern Germany. Methods We linked hydrological, hydraulic and species distribution models to predict the habitat suitability for the bivalve Sphaerium corneum in a riverine system. The results generated by the hydrological model served as inputs into the hydraulic model, which was used to simulate the resulting water levels, velocities and sediment discharge within the stream channel. Results The ensemble model obtained good evaluation scores (area under the receiver operating characteristic curve 0.96; kappa 0.86; true skill statistic 0.95; sensitivity 86.14; specificity 85.75). Mean values for variables at the sampling sites were not significantly different from the values at the predicted distribution (MannWhitney U-test P > 0.05). High occurrence probabilities were predicted in the downstream half of the 9-km section of the Kielstau. The most important variable for the model was sediment discharge (contributing 40%), followed by water depth (30%), flow velocity (19%) and stream power (11%). Main conclusions The hydrological and hydraulic models are able to produce predictors, acting at different spatial scales, which are known to influence riverine organisms; which, in turn, are used by the SDMs as input. Our case study yielded good results, which corresponded well with ecological knowledge about our study organism. Although this method is feasible for making projections of habitat suitability on a local scale (here: a reach in a small catchment), we discuss remaining challenges for future modelling approaches and large-scale applications.; Aim Highly complex interactions between the hydrosphere and biosphere, as well as multifactorial relationships, characterize the interconnecting role of streams and rivers between different elements of a landscape. Applying species distribution models (SDMs) in these ecosystems requires special attention because rivers are linear systems and their abiotic and biotic conditions are structured in a linear fashion with significant influences from upstream/downstream or lateral influences from adjacent areas. Our aim was to develop a modelling framework for benthic invertebrates in riverine ecosystems and to test our approach in a data-rich study catchment. Location We present a case study of a 9-km section of the lowland Kielstau River located in northern Germany. Methods We linked hydrological, hydraulic and species distribution models to predict the habitat suitability for the bivalve Sphaerium corneum in a riverine system. The results generated by the hydrological model served as inputs into the hydraulic model, which was used to simulate the resulting water levels, velocities and sediment discharge within the stream channel. Results The ensemble model obtained good evaluation scores (area under the receiver operating characteristic curve 0.96; kappa 0.86; true skill statistic 0.95; sensitivity 86.14; specificity 85.75). Mean values for variables at the sampling sites were not significantly different from the values at the predicted distribution (MannWhitney U-test P > 0.05). High occurrence probabilities were predicted in the downstream half of the 9-km section of the Kielstau. The most important variable for the model was sediment discharge (contributing 40%), followed by water depth (30%), flow velocity (19%) and stream power (11%). Main conclusions The hydrological and hydraulic models are able to produce predictors, acting at different spatial scales, which are known to influence riverine organisms; which, in turn, are used by the SDMs as input. Our case study yielded good results, which corresponded well with ecological knowledge about our study organism. Although this method is feasible for making projections of habitat suitability on a local scale (here: a reach in a small catchment), we discuss remaining challenges for future modelling approaches and large-scale applications.
SubtypeArticle
KeywordBenthic Invertebrates Biomod Germany Hec-ras Hydraulics Hydrology Kielstau Species Distribution Modelling Streams Swat
Department[Jaehnig, Sonja C.; Kuemmerlen, Mathias; Domisch, Sami] Senckenberg, Dept River Ecol & Conservat, Nat Hist Museum Frankfurt, D-63571 Gelnhausen, Germany; [Jaehnig, Sonja C.; Kuemmerlen, Mathias; Domisch, Sami] Biodivers & Climate Res Ctr BiK F, Frankfurt, Germany; [Jaehnig, Sonja C.; Kuemmerlen, Mathias; Domisch, Sami] Senckenberg Res Inst, Gelnhausen, Germany; [Kiesel, Jens; Schmalz, Britta; Fohrer, Nicola] Univ Kiel, Dept Hydrol & Water Resources Management, Inst Nat Resource Conservat, Kiel, Germany; [Cai, Qinghua] Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan, Peoples R China
DOI10.1111/jbi.12009
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine ; Physical Sciences
Funding OrganizationGerman Research Foundation (DFG) as part of the National Natural Science Foundation of China (NSFC)/DFG; German Federal Environmental Foundation (DBU) [20007/897]; Biodiversity and Climate Research Centre (BiK-F), part of the LOEWE programme 'Landes-Offensive zur Entwicklung Wissenschaftlich-okonomischer Exzellenz' of Hesse's Ministry of Higher Education, Research and the Arts ; German Research Foundation (DFG) as part of the National Natural Science Foundation of China (NSFC)/DFG; German Federal Environmental Foundation (DBU) [20007/897]; Biodiversity and Climate Research Centre (BiK-F), part of the LOEWE programme 'Landes-Offensive zur Entwicklung Wissenschaftlich-okonomischer Exzellenz' of Hesse's Ministry of Higher Education, Research and the Arts ; German Research Foundation (DFG) as part of the National Natural Science Foundation of China (NSFC)/DFG; German Federal Environmental Foundation (DBU) [20007/897]; Biodiversity and Climate Research Centre (BiK-F), part of the LOEWE programme 'Landes-Offensive zur Entwicklung Wissenschaftlich-okonomischer Exzellenz' of Hesse's Ministry of Higher Education, Research and the Arts ; German Research Foundation (DFG) as part of the National Natural Science Foundation of China (NSFC)/DFG; German Federal Environmental Foundation (DBU) [20007/897]; Biodiversity and Climate Research Centre (BiK-F), part of the LOEWE programme 'Landes-Offensive zur Entwicklung Wissenschaftlich-okonomischer Exzellenz' of Hesse's Ministry of Higher Education, Research and the Arts
Indexed BySCI
Language英语
WOS Research AreaEnvironmental Sciences & Ecology ; Physical Geography
WOS SubjectEcology ; Geography, Physical
WOS IDWOS:000311384100016
WOS KeywordSPECIES DISTRIBUTION MODELS ; CLIMATE-CHANGE ; STREAM MACROINVERTEBRATES ; AQUATIC ECOSYSTEMS ; MOUNTAIN STREAMS ; BIODIVERSITY ; CATCHMENT ; PREDICTION ; VARIABLES ; NETWORK
Funding OrganizationGerman Research Foundation (DFG) as part of the National Natural Science Foundation of China (NSFC)/DFG; German Federal Environmental Foundation (DBU) [20007/897]; Biodiversity and Climate Research Centre (BiK-F), part of the LOEWE programme 'Landes-Offensive zur Entwicklung Wissenschaftlich-okonomischer Exzellenz' of Hesse's Ministry of Higher Education, Research and the Arts ; German Research Foundation (DFG) as part of the National Natural Science Foundation of China (NSFC)/DFG; German Federal Environmental Foundation (DBU) [20007/897]; Biodiversity and Climate Research Centre (BiK-F), part of the LOEWE programme 'Landes-Offensive zur Entwicklung Wissenschaftlich-okonomischer Exzellenz' of Hesse's Ministry of Higher Education, Research and the Arts ; German Research Foundation (DFG) as part of the National Natural Science Foundation of China (NSFC)/DFG; German Federal Environmental Foundation (DBU) [20007/897]; Biodiversity and Climate Research Centre (BiK-F), part of the LOEWE programme 'Landes-Offensive zur Entwicklung Wissenschaftlich-okonomischer Exzellenz' of Hesse's Ministry of Higher Education, Research and the Arts ; German Research Foundation (DFG) as part of the National Natural Science Foundation of China (NSFC)/DFG; German Federal Environmental Foundation (DBU) [20007/897]; Biodiversity and Climate Research Centre (BiK-F), part of the LOEWE programme 'Landes-Offensive zur Entwicklung Wissenschaftlich-okonomischer Exzellenz' of Hesse's Ministry of Higher Education, Research and the Arts
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Cited Times:44[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ihb.ac.cn/handle/342005/17176
Collection淡水生态学研究中心_期刊论文
Corresponding AuthorJahnig, SC (reprint author), Senckenberg, Dept River Ecol & Conservat, Nat Hist Museum Frankfurt, Clamecystr 12, D-63571 Gelnhausen, Germany.
Affiliation1.Senckenberg, Dept River Ecol & Conservat, Nat Hist Museum Frankfurt, D-63571 Gelnhausen, Germany
2.Biodivers & Climate Res Ctr BiK F, Frankfurt, Germany
3.Senckenberg Res Inst, Gelnhausen, Germany
4.Univ Kiel, Dept Hydrol & Water Resources Management, Inst Nat Resource Conservat, Kiel, Germany
5.Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan, Peoples R China
Recommended Citation
GB/T 7714
Jaehnig, Sonja C.,Kuemmerlen, Mathias,Kiesel, Jens,et al. Modelling of riverine ecosystems by integrating models: conceptual approach, a case study and research agenda[J]. JOURNAL OF BIOGEOGRAPHY,2012,39(12):2253-2263.
APA Jaehnig, Sonja C..,Kuemmerlen, Mathias.,Kiesel, Jens.,Domisch, Sami.,Cai, Qinghua.,...&Jahnig, SC .(2012).Modelling of riverine ecosystems by integrating models: conceptual approach, a case study and research agenda.JOURNAL OF BIOGEOGRAPHY,39(12),2253-2263.
MLA Jaehnig, Sonja C.,et al."Modelling of riverine ecosystems by integrating models: conceptual approach, a case study and research agenda".JOURNAL OF BIOGEOGRAPHY 39.12(2012):2253-2263.
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