Data from: Patterns and correlates of claims for brown bear damage on a continental scale
Wildlife damage to human property threatens human–wildlife coexistence. Conflicts arising from wildlife damage in intensively managed landscapes often undermine conservation efforts, making damage mitigation and compensation of special concern for wildlife conservation. However, the mechanisms under...
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Dryad
2017
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Online Access: | https://doi.org/10.5061/dryad.7v11h |
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fttriple:oai:gotriple.eu:50|dedup_wf_001::ce53e6aee50670d505fc17e528bf7633 2023-05-15T18:42:02+02:00 Data from: Patterns and correlates of claims for brown bear damage on a continental scale Bautista, Carlos Naves, Javier Revilla, Eloy Fernández, Néstor Albrecht, Jörg Scharf, Anne K. Rigg, Robin Karamanlidis, Alexandros A. Jerina, Klemen Huber, Djuro Palazón, Santiago Kont, Raido Ciucci, Paolo Groff, Claudio Dutsov, Aleksandar Seijas, Juan Quenette, Pierre-Ives Olszańska, Agnieszka Shkvyria, Maryna Adamec, Michal Ozolins, Janis Jonozovič, Marko Selva, Nuria 2017-05-23 https://doi.org/10.5061/dryad.7v11h en eng Dryad http://dx.doi.org/10.5061/dryad.7v11h https://dx.doi.org/10.5061/dryad.7v11h lic_creative-commons 10.5061/dryad.7v11h oai:easy.dans.knaw.nl:easy-dataset:93221 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:93221 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 re3data_____::r3d100000044 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 human land use large carnivore conservation Wildlife Management human–wildlife conflicts Carnivora Ursus arctos supplementary feeding Europe human–wildlife coexistence brown bear damage compensation scheme depredation Life sciences medicine and health care envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2017 fttriple https://doi.org/10.5061/dryad.7v11h 2023-01-22T16:51:33Z Wildlife damage to human property threatens human–wildlife coexistence. Conflicts arising from wildlife damage in intensively managed landscapes often undermine conservation efforts, making damage mitigation and compensation of special concern for wildlife conservation. However, the mechanisms underlying the occurrence of damage and claims at large scales are still poorly understood. Here, we investigated the patterns of damage caused by brown bears Ursus arctos and its ecological and socio-economic correlates at a continental scale. We compiled information about compensation schemes across 26 countries in Europe in 2005–2012 and analysed the variation in the number of compensated claims in relation to (i) bear abundance, (ii) forest availability, (iii) human land use, (iv) management practices and (v) indicators of economic wealth. Most European countries have a posteriori compensation schemes based on damage verification, which, in many cases, have operated for more than 30 years. On average, over 3200 claims of bear damage were compensated annually in Europe. The majority of claims were for damage to livestock (59%), distributed throughout the bear range, followed by damage to apiaries (21%) and agriculture (17%), mainly in Mediterranean and eastern European countries. The mean number of compensated claims per bear and year ranged from 0·1 in Estonia to 8·5 in Norway. This variation was not only due to the differences in compensation schemes; damage claims were less numerous in areas with supplementary feeding and with a high proportion of agricultural land. However, observed variation in compensated damage was not related to bear abundance. Synthesis and applications. Compensation schemes, management practices and human land use influence the number of claims for brown bear damage, while bear abundance does not. Policies that ignore this complexity and focus on a single factor, such as bear population size, may not be effective in reducing claims. To be effective, policies should be based on integrative ... Dataset Ursus arctos Unknown Norway |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
English |
topic |
human land use large carnivore conservation Wildlife Management human–wildlife conflicts Carnivora Ursus arctos supplementary feeding Europe human–wildlife coexistence brown bear damage compensation scheme depredation Life sciences medicine and health care envir geo |
spellingShingle |
human land use large carnivore conservation Wildlife Management human–wildlife conflicts Carnivora Ursus arctos supplementary feeding Europe human–wildlife coexistence brown bear damage compensation scheme depredation Life sciences medicine and health care envir geo Bautista, Carlos Naves, Javier Revilla, Eloy Fernández, Néstor Albrecht, Jörg Scharf, Anne K. Rigg, Robin Karamanlidis, Alexandros A. Jerina, Klemen Huber, Djuro Palazón, Santiago Kont, Raido Ciucci, Paolo Groff, Claudio Dutsov, Aleksandar Seijas, Juan Quenette, Pierre-Ives Olszańska, Agnieszka Shkvyria, Maryna Adamec, Michal Ozolins, Janis Jonozovič, Marko Selva, Nuria Data from: Patterns and correlates of claims for brown bear damage on a continental scale |
topic_facet |
human land use large carnivore conservation Wildlife Management human–wildlife conflicts Carnivora Ursus arctos supplementary feeding Europe human–wildlife coexistence brown bear damage compensation scheme depredation Life sciences medicine and health care envir geo |
description |
Wildlife damage to human property threatens human–wildlife coexistence. Conflicts arising from wildlife damage in intensively managed landscapes often undermine conservation efforts, making damage mitigation and compensation of special concern for wildlife conservation. However, the mechanisms underlying the occurrence of damage and claims at large scales are still poorly understood. Here, we investigated the patterns of damage caused by brown bears Ursus arctos and its ecological and socio-economic correlates at a continental scale. We compiled information about compensation schemes across 26 countries in Europe in 2005–2012 and analysed the variation in the number of compensated claims in relation to (i) bear abundance, (ii) forest availability, (iii) human land use, (iv) management practices and (v) indicators of economic wealth. Most European countries have a posteriori compensation schemes based on damage verification, which, in many cases, have operated for more than 30 years. On average, over 3200 claims of bear damage were compensated annually in Europe. The majority of claims were for damage to livestock (59%), distributed throughout the bear range, followed by damage to apiaries (21%) and agriculture (17%), mainly in Mediterranean and eastern European countries. The mean number of compensated claims per bear and year ranged from 0·1 in Estonia to 8·5 in Norway. This variation was not only due to the differences in compensation schemes; damage claims were less numerous in areas with supplementary feeding and with a high proportion of agricultural land. However, observed variation in compensated damage was not related to bear abundance. Synthesis and applications. Compensation schemes, management practices and human land use influence the number of claims for brown bear damage, while bear abundance does not. Policies that ignore this complexity and focus on a single factor, such as bear population size, may not be effective in reducing claims. To be effective, policies should be based on integrative ... |
format |
Dataset |
author |
Bautista, Carlos Naves, Javier Revilla, Eloy Fernández, Néstor Albrecht, Jörg Scharf, Anne K. Rigg, Robin Karamanlidis, Alexandros A. Jerina, Klemen Huber, Djuro Palazón, Santiago Kont, Raido Ciucci, Paolo Groff, Claudio Dutsov, Aleksandar Seijas, Juan Quenette, Pierre-Ives Olszańska, Agnieszka Shkvyria, Maryna Adamec, Michal Ozolins, Janis Jonozovič, Marko Selva, Nuria |
author_facet |
Bautista, Carlos Naves, Javier Revilla, Eloy Fernández, Néstor Albrecht, Jörg Scharf, Anne K. Rigg, Robin Karamanlidis, Alexandros A. Jerina, Klemen Huber, Djuro Palazón, Santiago Kont, Raido Ciucci, Paolo Groff, Claudio Dutsov, Aleksandar Seijas, Juan Quenette, Pierre-Ives Olszańska, Agnieszka Shkvyria, Maryna Adamec, Michal Ozolins, Janis Jonozovič, Marko Selva, Nuria |
author_sort |
Bautista, Carlos |
title |
Data from: Patterns and correlates of claims for brown bear damage on a continental scale |
title_short |
Data from: Patterns and correlates of claims for brown bear damage on a continental scale |
title_full |
Data from: Patterns and correlates of claims for brown bear damage on a continental scale |
title_fullStr |
Data from: Patterns and correlates of claims for brown bear damage on a continental scale |
title_full_unstemmed |
Data from: Patterns and correlates of claims for brown bear damage on a continental scale |
title_sort |
data from: patterns and correlates of claims for brown bear damage on a continental scale |
publisher |
Dryad |
publishDate |
2017 |
url |
https://doi.org/10.5061/dryad.7v11h |
geographic |
Norway |
geographic_facet |
Norway |
genre |
Ursus arctos |
genre_facet |
Ursus arctos |
op_source |
10.5061/dryad.7v11h oai:easy.dans.knaw.nl:easy-dataset:93221 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:93221 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 re3data_____::r3d100000044 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 |
op_relation |
http://dx.doi.org/10.5061/dryad.7v11h https://dx.doi.org/10.5061/dryad.7v11h |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.7v11h |
_version_ |
1766231634441404416 |