Assessing the suitability of central European landscapes for the reintroduction of Eurasian lynx

1. After an absence of almost 100 years, the Eurasian lynx Lynx lynx is slowly recover- ing in Germany along the German–Czech border. Additionally, many reintroduction schemes have been discussed, albeit controversially, for various locations. We present a habitat suitability model for lynx in Germa...

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Autores: Schadt, Stephanie, Revilla, Eloy, Wiegand, Thorsten, Knauer, Felix, Kaczensky, Petra, Breitenmoser, Urs, Bufka, Ludek, Cerveny, Yaroslav, Koubek, Petr, Huber, Thomas
Tipo de documento: artigo
Data de publicação:2002
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositório:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/51738
Acesso em linha:http://hdl.handle.net/10261/51738
Access Level:Acceso aberto
Palavra-chave:GIS
large-scale approach
Lynx lynx
spatially explicit connectivity
species reintroduction
statistical habitat model
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spelling Assessing the suitability of central European landscapes for the reintroduction of Eurasian lynxSchadt, StephanieRevilla, EloyWiegand, ThorstenKnauer, FelixKaczensky, PetraBreitenmoser, UrsBufka, LudekCerveny, YaroslavKoubek, PetrHuber, ThomasGISlarge-scale approachLynx lynxspatially explicit connectivityspecies reintroductionstatistical habitat model1. After an absence of almost 100 years, the Eurasian lynx Lynx lynx is slowly recover- ing in Germany along the German–Czech border. Additionally, many reintroduction schemes have been discussed, albeit controversially, for various locations. We present a habitat suitability model for lynx in Germany as a basis for further management and conservation efforts aimed at recolonization and population development. 2. We developed a statistical habitat model using logistic regression to quantify the factors that describe lynx home ranges in a fragmented landscape. As no data were available for lynx distribution in Germany, we used data from the Swiss Jura Mountains for model development and validated the habitat model with telemetry data from the Czech Republic and Slovenia. We derived several variables describing land use and fragmentation, also introducing variables that described the connectivity of forested and non-forested semi-natural areas on a larger scale than the map resolution. 3. We obtained a model with only one significant variable that described the connec- tivity of forested and non-forested semi-natural areas on a scale of about 80 km2. This result is biologically meaningful, reflecting the absence of intensive human land use on the scale of an average female lynx home range. Model testing at a cut-off level of P > 0•5 correctly classified more than 80% of the Czech and Slovenian telemetry location data of resident lynx. Application of the model to Germany showed that the most suitable habitats for lynx were large-forested low mountain ranges and the large forests in east Germany. 4. Our approach illustrates how information on habitat fragmentation on a large scale can be linked with local data to the potential benefit of lynx conservation in central Europe. Spatially explicit models like ours can form the basis for further assessing the population viability of species of conservation concern in suitable patches.Peer reviewedBritish Ecological Society201220122002info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://hdl.handle.net/10261/51738reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.1046/j.1365-2664.2002.00700.xinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/517382026-05-22T06:33:51Z
dc.title.none.fl_str_mv Assessing the suitability of central European landscapes for the reintroduction of Eurasian lynx
title Assessing the suitability of central European landscapes for the reintroduction of Eurasian lynx
spellingShingle Assessing the suitability of central European landscapes for the reintroduction of Eurasian lynx
Schadt, Stephanie
GIS
large-scale approach
Lynx lynx
spatially explicit connectivity
species reintroduction
statistical habitat model
title_short Assessing the suitability of central European landscapes for the reintroduction of Eurasian lynx
title_full Assessing the suitability of central European landscapes for the reintroduction of Eurasian lynx
title_fullStr Assessing the suitability of central European landscapes for the reintroduction of Eurasian lynx
title_full_unstemmed Assessing the suitability of central European landscapes for the reintroduction of Eurasian lynx
title_sort Assessing the suitability of central European landscapes for the reintroduction of Eurasian lynx
dc.creator.none.fl_str_mv Schadt, Stephanie
Revilla, Eloy
Wiegand, Thorsten
Knauer, Felix
Kaczensky, Petra
Breitenmoser, Urs
Bufka, Ludek
Cerveny, Yaroslav
Koubek, Petr
Huber, Thomas
author Schadt, Stephanie
author_facet Schadt, Stephanie
Revilla, Eloy
Wiegand, Thorsten
Knauer, Felix
Kaczensky, Petra
Breitenmoser, Urs
Bufka, Ludek
Cerveny, Yaroslav
Koubek, Petr
Huber, Thomas
author_role author
author2 Revilla, Eloy
Wiegand, Thorsten
Knauer, Felix
Kaczensky, Petra
Breitenmoser, Urs
Bufka, Ludek
Cerveny, Yaroslav
Koubek, Petr
Huber, Thomas
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv GIS
large-scale approach
Lynx lynx
spatially explicit connectivity
species reintroduction
statistical habitat model
topic GIS
large-scale approach
Lynx lynx
spatially explicit connectivity
species reintroduction
statistical habitat model
description 1. After an absence of almost 100 years, the Eurasian lynx Lynx lynx is slowly recover- ing in Germany along the German–Czech border. Additionally, many reintroduction schemes have been discussed, albeit controversially, for various locations. We present a habitat suitability model for lynx in Germany as a basis for further management and conservation efforts aimed at recolonization and population development. 2. We developed a statistical habitat model using logistic regression to quantify the factors that describe lynx home ranges in a fragmented landscape. As no data were available for lynx distribution in Germany, we used data from the Swiss Jura Mountains for model development and validated the habitat model with telemetry data from the Czech Republic and Slovenia. We derived several variables describing land use and fragmentation, also introducing variables that described the connectivity of forested and non-forested semi-natural areas on a larger scale than the map resolution. 3. We obtained a model with only one significant variable that described the connec- tivity of forested and non-forested semi-natural areas on a scale of about 80 km2. This result is biologically meaningful, reflecting the absence of intensive human land use on the scale of an average female lynx home range. Model testing at a cut-off level of P > 0•5 correctly classified more than 80% of the Czech and Slovenian telemetry location data of resident lynx. Application of the model to Germany showed that the most suitable habitats for lynx were large-forested low mountain ranges and the large forests in east Germany. 4. Our approach illustrates how information on habitat fragmentation on a large scale can be linked with local data to the potential benefit of lynx conservation in central Europe. Spatially explicit models like ours can form the basis for further assessing the population viability of species of conservation concern in suitable patches.
publishDate 2002
dc.date.none.fl_str_mv 2002
2012
2012
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/51738
url http://hdl.handle.net/10261/51738
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://dx.doi.org/10.1046/j.1365-2664.2002.00700.x
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv British Ecological Society
publisher.none.fl_str_mv British Ecological Society
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.228081

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