HABITAT CLASSIFICATION MODELING WITH INCOMPLETE DATA: PUSHING THE HABITAT ENVELOPE
Habitat classification models (HCMs) are invaluable tools for species conservation, land‐use planning, reserve design, and metapopulation assessments, particularly at broad spatial scales. However, species occurrence data are often lacking and typically limited to presence points at broad scales. Th...
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crwiley:10.1890/06-1312.1 2024-06-23T07:44:53+00:00 HABITAT CLASSIFICATION MODELING WITH INCOMPLETE DATA: PUSHING THE HABITAT ENVELOPE Zarnetske, Phoebe L. Edwards, Thomas C. Moisen, Gretchen G. 2007 http://dx.doi.org/10.1890/06-1312.1 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1890%2F06-1312.1 https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1890/06-1312.1 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Ecological Applications volume 17, issue 6, page 1714-1726 ISSN 1051-0761 1939-5582 journal-article 2007 crwiley https://doi.org/10.1890/06-1312.1 2024-05-31T08:11:25Z Habitat classification models (HCMs) are invaluable tools for species conservation, land‐use planning, reserve design, and metapopulation assessments, particularly at broad spatial scales. However, species occurrence data are often lacking and typically limited to presence points at broad scales. This lack of absence data precludes the use of many statistical techniques for HCMs. One option is to generate pseudo‐absence points so that the many available statistical modeling tools can be used. Traditional techniques generate pseudo‐absence points at random across broadly defined species ranges, often failing to include biological knowledge concerning the species–habitat relationship. We incorporated biological knowledge of the species–habitat relationship into pseudo‐absence points by creating habitat envelopes that constrain the region from which points were randomly selected. We define a habitat envelope as an ecological representation of a species, or species feature's (e.g., nest) observed distribution (i.e., realized niche) based on a single attribute, or the spatial intersection of multiple attributes. We created HCMs for Northern Goshawk ( Accipiter gentilis atricapillus ) nest habitat during the breeding season across Utah forests with extant nest presence points and ecologically based pseudo‐absence points using logistic regression. Predictor variables were derived from 30‐m USDA Landfire and 250‐m Forest Inventory and Analysis (FIA) map products. These habitat‐envelope‐based models were then compared to null envelope models which use traditional practices for generating pseudo‐absences. Models were assessed for fit and predictive capability using metrics such as kappa, threshold‐independent receiver operating characteristic (ROC) plots, adjusted deviance ( ), and cross‐validation, and were also assessed for ecological relevance. For all cases, habitat envelope‐based models outperformed null envelope models and were more ecologically relevant, suggesting that incorporating biological knowledge into ... Article in Journal/Newspaper Accipiter gentilis Northern Goshawk Wiley Online Library Ecological Applications 17 6 1714 1726 |
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Wiley Online Library |
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language |
English |
description |
Habitat classification models (HCMs) are invaluable tools for species conservation, land‐use planning, reserve design, and metapopulation assessments, particularly at broad spatial scales. However, species occurrence data are often lacking and typically limited to presence points at broad scales. This lack of absence data precludes the use of many statistical techniques for HCMs. One option is to generate pseudo‐absence points so that the many available statistical modeling tools can be used. Traditional techniques generate pseudo‐absence points at random across broadly defined species ranges, often failing to include biological knowledge concerning the species–habitat relationship. We incorporated biological knowledge of the species–habitat relationship into pseudo‐absence points by creating habitat envelopes that constrain the region from which points were randomly selected. We define a habitat envelope as an ecological representation of a species, or species feature's (e.g., nest) observed distribution (i.e., realized niche) based on a single attribute, or the spatial intersection of multiple attributes. We created HCMs for Northern Goshawk ( Accipiter gentilis atricapillus ) nest habitat during the breeding season across Utah forests with extant nest presence points and ecologically based pseudo‐absence points using logistic regression. Predictor variables were derived from 30‐m USDA Landfire and 250‐m Forest Inventory and Analysis (FIA) map products. These habitat‐envelope‐based models were then compared to null envelope models which use traditional practices for generating pseudo‐absences. Models were assessed for fit and predictive capability using metrics such as kappa, threshold‐independent receiver operating characteristic (ROC) plots, adjusted deviance ( ), and cross‐validation, and were also assessed for ecological relevance. For all cases, habitat envelope‐based models outperformed null envelope models and were more ecologically relevant, suggesting that incorporating biological knowledge into ... |
format |
Article in Journal/Newspaper |
author |
Zarnetske, Phoebe L. Edwards, Thomas C. Moisen, Gretchen G. |
spellingShingle |
Zarnetske, Phoebe L. Edwards, Thomas C. Moisen, Gretchen G. HABITAT CLASSIFICATION MODELING WITH INCOMPLETE DATA: PUSHING THE HABITAT ENVELOPE |
author_facet |
Zarnetske, Phoebe L. Edwards, Thomas C. Moisen, Gretchen G. |
author_sort |
Zarnetske, Phoebe L. |
title |
HABITAT CLASSIFICATION MODELING WITH INCOMPLETE DATA: PUSHING THE HABITAT ENVELOPE |
title_short |
HABITAT CLASSIFICATION MODELING WITH INCOMPLETE DATA: PUSHING THE HABITAT ENVELOPE |
title_full |
HABITAT CLASSIFICATION MODELING WITH INCOMPLETE DATA: PUSHING THE HABITAT ENVELOPE |
title_fullStr |
HABITAT CLASSIFICATION MODELING WITH INCOMPLETE DATA: PUSHING THE HABITAT ENVELOPE |
title_full_unstemmed |
HABITAT CLASSIFICATION MODELING WITH INCOMPLETE DATA: PUSHING THE HABITAT ENVELOPE |
title_sort |
habitat classification modeling with incomplete data: pushing the habitat envelope |
publisher |
Wiley |
publishDate |
2007 |
url |
http://dx.doi.org/10.1890/06-1312.1 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1890%2F06-1312.1 https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1890/06-1312.1 |
genre |
Accipiter gentilis Northern Goshawk |
genre_facet |
Accipiter gentilis Northern Goshawk |
op_source |
Ecological Applications volume 17, issue 6, page 1714-1726 ISSN 1051-0761 1939-5582 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1890/06-1312.1 |
container_title |
Ecological Applications |
container_volume |
17 |
container_issue |
6 |
container_start_page |
1714 |
op_container_end_page |
1726 |
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1802651854525431808 |