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Geospatial analysis to assess distribution patterns and predictive models for endangered plant speci...

Geospatial analysis to assess distribution patterns and predictive models for endangered plant speci...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2551972479

Geospatial analysis to assess distribution patterns and predictive models for endangered plant species to support management decisions: a case study in the Balearic Islands

About this item

Full title

Geospatial analysis to assess distribution patterns and predictive models for endangered plant species to support management decisions: a case study in the Balearic Islands

Publisher

Dordrecht: Springer Netherlands

Journal title

Biodiversity and conservation, 2020-10, Vol.29 (11-12), p.3393-3410

Language

English

Formats

Publication information

Publisher

Dordrecht: Springer Netherlands

More information

Scope and Contents

Contents

Species distribution modelling (SDM) has been used to support biodiversity management in recent years. However, the use of SDM at small scales with geolocation systems to obtain high-accuracy location data remains unexplored. In this study, we focused on
Euphorbia fontqueriana
, an endangered species to Mallorca (western Mediterranean basin),...

Alternative Titles

Full title

Geospatial analysis to assess distribution patterns and predictive models for endangered plant species to support management decisions: a case study in the Balearic Islands

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2551972479

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2551972479

Other Identifiers

ISSN

0960-3115

E-ISSN

1572-9710

DOI

10.1007/s10531-020-02029-y

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