Modelling species distribution in complex environments: an evaluation of predictive ability and reliability in five shorebird species
ABSTRACT Aim Many wader populations around the world are declining as a consequence of habitat degradation or loss. It is therefore important to identify species‐specific habitat demands accurately and to define the important factors explaining species distribution, in order to develop tools that ca...
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crwiley:10.1111/j.1472-4642.2008.00532.x 2024-06-02T07:54:14+00:00 Modelling species distribution in complex environments: an evaluation of predictive ability and reliability in five shorebird species Heinänen, Stefan Von Numers, Mikael 2009 http://dx.doi.org/10.1111/j.1472-4642.2008.00532.x https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1472-4642.2008.00532.x https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1472-4642.2008.00532.x en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Diversity and Distributions volume 15, issue 2, page 266-279 ISSN 1366-9516 1472-4642 journal-article 2009 crwiley https://doi.org/10.1111/j.1472-4642.2008.00532.x 2024-05-03T11:24:29Z ABSTRACT Aim Many wader populations around the world are declining as a consequence of habitat degradation or loss. It is therefore important to identify species‐specific habitat demands accurately and to define the important factors explaining species distribution, in order to develop tools that can be used in conservation planning. The aim of this study is to create reliable, functional and ecologically interpretable predictive distribution models for five breeding wader species. Location The archipelago of SW Finland in the Baltic Sea. Methods We used multivariate adaptive regression splines (MARS) to create single‐species and multiresponse distribution models based on 525 study islands and 12 abiotic and biotic environmental variables. Model evaluation was carried out on independent data not used in model building (100 + 116 islands). The models were tested for discrimination with receiver‐operating characteristic statistics and for calibration with Millers calibration statistics (MCS). Results The single‐species models for the turnstone ( Arenaria interpres ), redshank ( Tringa totanus ) and oystercatcher ( Haematopus ostralegus ) showed good predictive abilities, regarding both discrimination and calibration, when evaluated on independent data. The multiresponse models for the less prevalent species, common sandpiper ( Actitis hypoleucos ) and the common ringed plover ( Charadrius hiaticula ) had better discriminative abilities than the single‐species models. The most influential predictor overall was occurrence of small larids. Exposure, area of forest and low and flat areas were also important, as well as shore habitats. Main conclusions We found that the ability of MARS to fit non‐linear and multiresponse models makes it a useful method to quantitatively relate species occurrence to environmental characteristics of a complex environment. Article in Journal/Newspaper Actitis hypoleucos Arenaria interpres Charadrius hiaticula Common Ringed Plover Common Sandpiper Ringed Plover Wiley Online Library Diversity and Distributions 15 2 266 279 |
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Wiley Online Library |
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English |
description |
ABSTRACT Aim Many wader populations around the world are declining as a consequence of habitat degradation or loss. It is therefore important to identify species‐specific habitat demands accurately and to define the important factors explaining species distribution, in order to develop tools that can be used in conservation planning. The aim of this study is to create reliable, functional and ecologically interpretable predictive distribution models for five breeding wader species. Location The archipelago of SW Finland in the Baltic Sea. Methods We used multivariate adaptive regression splines (MARS) to create single‐species and multiresponse distribution models based on 525 study islands and 12 abiotic and biotic environmental variables. Model evaluation was carried out on independent data not used in model building (100 + 116 islands). The models were tested for discrimination with receiver‐operating characteristic statistics and for calibration with Millers calibration statistics (MCS). Results The single‐species models for the turnstone ( Arenaria interpres ), redshank ( Tringa totanus ) and oystercatcher ( Haematopus ostralegus ) showed good predictive abilities, regarding both discrimination and calibration, when evaluated on independent data. The multiresponse models for the less prevalent species, common sandpiper ( Actitis hypoleucos ) and the common ringed plover ( Charadrius hiaticula ) had better discriminative abilities than the single‐species models. The most influential predictor overall was occurrence of small larids. Exposure, area of forest and low and flat areas were also important, as well as shore habitats. Main conclusions We found that the ability of MARS to fit non‐linear and multiresponse models makes it a useful method to quantitatively relate species occurrence to environmental characteristics of a complex environment. |
format |
Article in Journal/Newspaper |
author |
Heinänen, Stefan Von Numers, Mikael |
spellingShingle |
Heinänen, Stefan Von Numers, Mikael Modelling species distribution in complex environments: an evaluation of predictive ability and reliability in five shorebird species |
author_facet |
Heinänen, Stefan Von Numers, Mikael |
author_sort |
Heinänen, Stefan |
title |
Modelling species distribution in complex environments: an evaluation of predictive ability and reliability in five shorebird species |
title_short |
Modelling species distribution in complex environments: an evaluation of predictive ability and reliability in five shorebird species |
title_full |
Modelling species distribution in complex environments: an evaluation of predictive ability and reliability in five shorebird species |
title_fullStr |
Modelling species distribution in complex environments: an evaluation of predictive ability and reliability in five shorebird species |
title_full_unstemmed |
Modelling species distribution in complex environments: an evaluation of predictive ability and reliability in five shorebird species |
title_sort |
modelling species distribution in complex environments: an evaluation of predictive ability and reliability in five shorebird species |
publisher |
Wiley |
publishDate |
2009 |
url |
http://dx.doi.org/10.1111/j.1472-4642.2008.00532.x https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1472-4642.2008.00532.x https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1472-4642.2008.00532.x |
genre |
Actitis hypoleucos Arenaria interpres Charadrius hiaticula Common Ringed Plover Common Sandpiper Ringed Plover |
genre_facet |
Actitis hypoleucos Arenaria interpres Charadrius hiaticula Common Ringed Plover Common Sandpiper Ringed Plover |
op_source |
Diversity and Distributions volume 15, issue 2, page 266-279 ISSN 1366-9516 1472-4642 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1111/j.1472-4642.2008.00532.x |
container_title |
Diversity and Distributions |
container_volume |
15 |
container_issue |
2 |
container_start_page |
266 |
op_container_end_page |
279 |
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1800749069226737664 |