A methodological assessment of Species Distribution Models as tools to plan species conservation and niche modelling

Knowing species distribution is essential to understand a species’ ecology and conservation needs. Species distribution models (SDMs) adopt a correlative approach to infer the ecological requirements of species from field observations based on statistically or theoretically derived response surfaces...

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Main Author: Smeraldo, Sonia
Format: Doctoral or Postdoctoral Thesis
Language:Italian
English
Published: 2017
Subjects:
Online Access:http://www.fedoa.unina.it/12246/
http://www.fedoa.unina.it/12246/1/smeraldo_sonia_30.pdf
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spelling ftunivnapoli:oai:fedoa.unina.it:12246 2023-05-15T15:37:52+02:00 A methodological assessment of Species Distribution Models as tools to plan species conservation and niche modelling Smeraldo, Sonia 2017-12-11 text http://www.fedoa.unina.it/12246/ http://www.fedoa.unina.it/12246/1/smeraldo_sonia_30.pdf it eng ita eng http://www.fedoa.unina.it/12246/1/smeraldo_sonia_30.pdf Smeraldo, Sonia (2017) A methodological assessment of Species Distribution Models as tools to plan species conservation and niche modelling. [Tesi di dottorato] info:eu-repo/semantics/openAccess Tesi di dottorato NonPeerReviewed info:eu-repo/semantics/doctoralThesis 2017 ftunivnapoli 2022-12-22T19:06:28Z Knowing species distribution is essential to understand a species’ ecology and conservation needs. Species distribution models (SDMs) adopt a correlative approach to infer the ecological requirements of species from field observations based on statistically or theoretically derived response surfaces. SDMs have become a widely used technique and an increasingly important tool in many fields of natural and biological sciences to address various issues in applied ecology and conservation biology. The most basic of such aims is to understand the relationships between a species and its abiotic and biotic environment and to identify areas where a given species is likely to occur. The aim of this thesis was to evaluate the effectiveness of SDMs for supporting conservation actions. In particular, we used SDMs to focus on important but less handled issues and present three case studies. In the first case, we analysed the influence of spatial scale on SDMs’ ability to detect niche differences for two sympatric species of high conservation value, the bat Barbastella barbastellus and the cerambycid beetle Rosalia alpina, which apparently share the same habitat and ecological requirements. Broad scale SDMs revealed limited differences in preferred environmental predictor variables while failed to detect differences in microhabitats occupied. Only a small-scale niche analyses provided detailed ecological differences characterizing the two species and gave information on the type of management that such species need. In the second case, we evaluated the effectiveness of SDMs in managing the conservation of a mammal species reintroduced to Serbia and Bosnia-Herzegovina, the Eurasian beaver Castor fiber, during the post-release phase. We were able to predict suitable areas that beavers might colonize in the near future and to evaluate the potential risk posed to the expanding population by the very low degree of protection offered by the national reserve network. Finally, in the third case we focused on the importance of ... Doctoral or Postdoctoral Thesis Barbastella barbastellus University of Naples Federico II ePrints Repository (FedOA)
institution Open Polar
collection University of Naples Federico II ePrints Repository (FedOA)
op_collection_id ftunivnapoli
language Italian
English
description Knowing species distribution is essential to understand a species’ ecology and conservation needs. Species distribution models (SDMs) adopt a correlative approach to infer the ecological requirements of species from field observations based on statistically or theoretically derived response surfaces. SDMs have become a widely used technique and an increasingly important tool in many fields of natural and biological sciences to address various issues in applied ecology and conservation biology. The most basic of such aims is to understand the relationships between a species and its abiotic and biotic environment and to identify areas where a given species is likely to occur. The aim of this thesis was to evaluate the effectiveness of SDMs for supporting conservation actions. In particular, we used SDMs to focus on important but less handled issues and present three case studies. In the first case, we analysed the influence of spatial scale on SDMs’ ability to detect niche differences for two sympatric species of high conservation value, the bat Barbastella barbastellus and the cerambycid beetle Rosalia alpina, which apparently share the same habitat and ecological requirements. Broad scale SDMs revealed limited differences in preferred environmental predictor variables while failed to detect differences in microhabitats occupied. Only a small-scale niche analyses provided detailed ecological differences characterizing the two species and gave information on the type of management that such species need. In the second case, we evaluated the effectiveness of SDMs in managing the conservation of a mammal species reintroduced to Serbia and Bosnia-Herzegovina, the Eurasian beaver Castor fiber, during the post-release phase. We were able to predict suitable areas that beavers might colonize in the near future and to evaluate the potential risk posed to the expanding population by the very low degree of protection offered by the national reserve network. Finally, in the third case we focused on the importance of ...
format Doctoral or Postdoctoral Thesis
author Smeraldo, Sonia
spellingShingle Smeraldo, Sonia
A methodological assessment of Species Distribution Models as tools to plan species conservation and niche modelling
author_facet Smeraldo, Sonia
author_sort Smeraldo, Sonia
title A methodological assessment of Species Distribution Models as tools to plan species conservation and niche modelling
title_short A methodological assessment of Species Distribution Models as tools to plan species conservation and niche modelling
title_full A methodological assessment of Species Distribution Models as tools to plan species conservation and niche modelling
title_fullStr A methodological assessment of Species Distribution Models as tools to plan species conservation and niche modelling
title_full_unstemmed A methodological assessment of Species Distribution Models as tools to plan species conservation and niche modelling
title_sort methodological assessment of species distribution models as tools to plan species conservation and niche modelling
publishDate 2017
url http://www.fedoa.unina.it/12246/
http://www.fedoa.unina.it/12246/1/smeraldo_sonia_30.pdf
genre Barbastella barbastellus
genre_facet Barbastella barbastellus
op_relation http://www.fedoa.unina.it/12246/1/smeraldo_sonia_30.pdf
Smeraldo, Sonia (2017) A methodological assessment of Species Distribution Models as tools to plan species conservation and niche modelling. [Tesi di dottorato]
op_rights info:eu-repo/semantics/openAccess
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