Spatial analysis of lanner falcon habitat preferences: Implications for agro-ecosystems management at landscape scale and raptor conservation
Sicily hosts the largest European population of the endangered lanner falcon, a poorly known species which needs conservation planning based on habitat preferences. A distribution model on 10 10 km cells of Sicily was described using Generalized Linear Models and variation partitioning methods. This...
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Online Access: | http://hdl.handle.net/10447/99017 https://doi.org/10.1016/j.biocon.2014.08.004 |
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ftunivpalermo:oai:iris.unipa.it:10447/99017 2024-02-11T10:07:46+01:00 Spatial analysis of lanner falcon habitat preferences: Implications for agro-ecosystems management at landscape scale and raptor conservation SARA', Maurizio Sara' M 2014 http://hdl.handle.net/10447/99017 https://doi.org/10.1016/j.biocon.2014.08.004 eng eng Elsevier Science Limited info:eu-repo/semantics/altIdentifier/wos/WOS:000343345700018 volume:178 issue:178 firstpage:173 lastpage:184 numberofpages:12 journal:BIOLOGICAL CONSERVATION http://hdl.handle.net/10447/99017 doi:10.1016/j.biocon.2014.08.004 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84907143465 http://dx.doi.org/10.1016/j.biocon.2014.08.004 info:eu-repo/semantics/openAccess Falco biarmicus feldeggii Raptor conservation Generalized Linear Model Mediterranean steppe-like habitats Collaborative agri-environment schemes cAES Favourability modelling Settore BIO/05 - Zoologia info:eu-repo/semantics/article 2014 ftunivpalermo https://doi.org/10.1016/j.biocon.2014.08.004 2024-01-23T23:25:25Z Sicily hosts the largest European population of the endangered lanner falcon, a poorly known species which needs conservation planning based on habitat preferences. A distribution model on 10 10 km cells of Sicily was described using Generalized Linear Models and variation partitioning methods. This modelling approach extracted explanatory factors, pure and joint effects of greatest influence from subsets of variables controlled for multi-collinearity and spatial autocorrelation. Analytical cartography used the environmental favourability function to assess habitat preferences, and the insecurity index estimated the degree to which lanner falcon occupancy is represented in the Natura2000 networks of Sicily. The lanner population is not randomly distributed across the geographical space as the significant latitudinal effect revealed. The most parsimonious explanatory model suggested traditional agro-ecosystems (i.e. arable lowlands and grasslands, with rugged terrains and cliffs) as the best predictors of lanner occupancy, and gave strong support to the negative effects of land abandonment and intensification (i.e. increase of heterogeneous areas and shrubby vegetation). The variation partitioning method suggested how an alteration of traditional agro-ecosystems might enhance interference competition with the peregrine falcon and limit lanner falcon occupancy. Most of the lanner falcon favourable habitats fall outside the Natura2000 networks, thus the main challenge for its conservation is represented by agri-environmental measures to be taken within the Common Agricultural Policy of the European Union. Conservation of traditional agro-ecosystems devoted to top-predators, like the lanner falcon, requires single environmental management agreements for multiple farm units, deployed at landscape scale on a network of favourable areas. Article in Journal/Newspaper peregrine falcon IRIS Università degli Studi di Palermo Biological Conservation 178 173 184 |
institution |
Open Polar |
collection |
IRIS Università degli Studi di Palermo |
op_collection_id |
ftunivpalermo |
language |
English |
topic |
Falco biarmicus feldeggii Raptor conservation Generalized Linear Model Mediterranean steppe-like habitats Collaborative agri-environment schemes cAES Favourability modelling Settore BIO/05 - Zoologia |
spellingShingle |
Falco biarmicus feldeggii Raptor conservation Generalized Linear Model Mediterranean steppe-like habitats Collaborative agri-environment schemes cAES Favourability modelling Settore BIO/05 - Zoologia SARA', Maurizio Spatial analysis of lanner falcon habitat preferences: Implications for agro-ecosystems management at landscape scale and raptor conservation |
topic_facet |
Falco biarmicus feldeggii Raptor conservation Generalized Linear Model Mediterranean steppe-like habitats Collaborative agri-environment schemes cAES Favourability modelling Settore BIO/05 - Zoologia |
description |
Sicily hosts the largest European population of the endangered lanner falcon, a poorly known species which needs conservation planning based on habitat preferences. A distribution model on 10 10 km cells of Sicily was described using Generalized Linear Models and variation partitioning methods. This modelling approach extracted explanatory factors, pure and joint effects of greatest influence from subsets of variables controlled for multi-collinearity and spatial autocorrelation. Analytical cartography used the environmental favourability function to assess habitat preferences, and the insecurity index estimated the degree to which lanner falcon occupancy is represented in the Natura2000 networks of Sicily. The lanner population is not randomly distributed across the geographical space as the significant latitudinal effect revealed. The most parsimonious explanatory model suggested traditional agro-ecosystems (i.e. arable lowlands and grasslands, with rugged terrains and cliffs) as the best predictors of lanner occupancy, and gave strong support to the negative effects of land abandonment and intensification (i.e. increase of heterogeneous areas and shrubby vegetation). The variation partitioning method suggested how an alteration of traditional agro-ecosystems might enhance interference competition with the peregrine falcon and limit lanner falcon occupancy. Most of the lanner falcon favourable habitats fall outside the Natura2000 networks, thus the main challenge for its conservation is represented by agri-environmental measures to be taken within the Common Agricultural Policy of the European Union. Conservation of traditional agro-ecosystems devoted to top-predators, like the lanner falcon, requires single environmental management agreements for multiple farm units, deployed at landscape scale on a network of favourable areas. |
author2 |
Sara' M |
format |
Article in Journal/Newspaper |
author |
SARA', Maurizio |
author_facet |
SARA', Maurizio |
author_sort |
SARA', Maurizio |
title |
Spatial analysis of lanner falcon habitat preferences: Implications for agro-ecosystems management at landscape scale and raptor conservation |
title_short |
Spatial analysis of lanner falcon habitat preferences: Implications for agro-ecosystems management at landscape scale and raptor conservation |
title_full |
Spatial analysis of lanner falcon habitat preferences: Implications for agro-ecosystems management at landscape scale and raptor conservation |
title_fullStr |
Spatial analysis of lanner falcon habitat preferences: Implications for agro-ecosystems management at landscape scale and raptor conservation |
title_full_unstemmed |
Spatial analysis of lanner falcon habitat preferences: Implications for agro-ecosystems management at landscape scale and raptor conservation |
title_sort |
spatial analysis of lanner falcon habitat preferences: implications for agro-ecosystems management at landscape scale and raptor conservation |
publisher |
Elsevier Science Limited |
publishDate |
2014 |
url |
http://hdl.handle.net/10447/99017 https://doi.org/10.1016/j.biocon.2014.08.004 |
genre |
peregrine falcon |
genre_facet |
peregrine falcon |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000343345700018 volume:178 issue:178 firstpage:173 lastpage:184 numberofpages:12 journal:BIOLOGICAL CONSERVATION http://hdl.handle.net/10447/99017 doi:10.1016/j.biocon.2014.08.004 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84907143465 http://dx.doi.org/10.1016/j.biocon.2014.08.004 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1016/j.biocon.2014.08.004 |
container_title |
Biological Conservation |
container_volume |
178 |
container_start_page |
173 |
op_container_end_page |
184 |
_version_ |
1790606476268535808 |