Accuracy and cost of models predicting bird distribution in agricultural grasslands
Numerous agro-environmental indicators have been developed to assess the impact of farming systems on biodiversity. They can be combined into logistic models for predicting the presence of species of ecological interest. In general, several models are available for a given species and their practica...
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ftagroparistech:oai:HAL:hal-01173187v1 2023-11-05T03:45:25+01:00 Accuracy and cost of models predicting bird distribution in agricultural grasslands Barbottin, Aude Tichit, Muriel Cadet, Claire Makowski, David Sciences pour l'Action et le Développement : Activités, Produits, Territoires (SADAPT) Institut National de la Recherche Agronomique (INRA)-AgroParisTech Agronomie 2010 https://hal.science/hal-01173187 https://doi.org/10.1016/j.agee.2009.10.009 en eng HAL CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.agee.2009.10.009 hal-01173187 https://hal.science/hal-01173187 doi:10.1016/j.agee.2009.10.009 PRODINRA: 38203 WOS: 000275135100003 EISSN: 0167-8809 Agriculture, Ecosystems & Environment https://hal.science/hal-01173187 Agriculture, Ecosystems & Environment, 2010, 136 (1-2), pp.28-34. ⟨10.1016/j.agee.2009.10.009⟩ BAYESIAN MODEL AVERAGING BIRD LIVESTOCK FARMING SYSTEM LOGISTIC REGRESSION MODEL SELECTION SENSITIVITY SPECIFICITY COST [SDV]Life Sciences [q-bio] info:eu-repo/semantics/article Journal articles 2010 ftagroparistech https://doi.org/10.1016/j.agee.2009.10.009 2023-10-10T23:11:24Z Numerous agro-environmental indicators have been developed to assess the impact of farming systems on biodiversity. They can be combined into logistic models for predicting the presence of species of ecological interest. In general, several models are available for a given species and their practical value depends on their accuracy and the cost of measurement of their input variables. This paper aims to assess the accuracy and cost of implementation of a wide range of models predicting the presence of two grassland bird species, the lapwing Vanellus vanellus and the redshank Tringa totanus. Some of these models were developed using stepwise selection procedures and the others were developed by Bayesian Model Averaging. Sensitivity, specificity, and probability of correctly ranking fields (AUC) were estimated for each model from observational data. The cost of implementation of each model was computed as a function of the number and types of input variables. Results showed that the presence/absence of lapwings can be predicted more accurately than the presence/absence of redshanks, probably due to the stricter ecological requirements of lapwings. For both species, the highest AUC values were obtained with models combining habitat and management variables. The most costly models were not always the most accurate. Full models and models derived by Bayesian Model Averaging were most costly and less accurate than some of the models derived using selection procedures. When large sets of candidate variables were considered, the models selected using the BIC criterion were less costly and sometimes more accurate than the models selected using the AIC criterion. Article in Journal/Newspaper Vanellus vanellus AgroParisTech: HAL (Institut des sciences et industries du vivant et de l'environnement) Agriculture, Ecosystems & Environment 136 1-2 28 34 |
institution |
Open Polar |
collection |
AgroParisTech: HAL (Institut des sciences et industries du vivant et de l'environnement) |
op_collection_id |
ftagroparistech |
language |
English |
topic |
BAYESIAN MODEL AVERAGING BIRD LIVESTOCK FARMING SYSTEM LOGISTIC REGRESSION MODEL SELECTION SENSITIVITY SPECIFICITY COST [SDV]Life Sciences [q-bio] |
spellingShingle |
BAYESIAN MODEL AVERAGING BIRD LIVESTOCK FARMING SYSTEM LOGISTIC REGRESSION MODEL SELECTION SENSITIVITY SPECIFICITY COST [SDV]Life Sciences [q-bio] Barbottin, Aude Tichit, Muriel Cadet, Claire Makowski, David Accuracy and cost of models predicting bird distribution in agricultural grasslands |
topic_facet |
BAYESIAN MODEL AVERAGING BIRD LIVESTOCK FARMING SYSTEM LOGISTIC REGRESSION MODEL SELECTION SENSITIVITY SPECIFICITY COST [SDV]Life Sciences [q-bio] |
description |
Numerous agro-environmental indicators have been developed to assess the impact of farming systems on biodiversity. They can be combined into logistic models for predicting the presence of species of ecological interest. In general, several models are available for a given species and their practical value depends on their accuracy and the cost of measurement of their input variables. This paper aims to assess the accuracy and cost of implementation of a wide range of models predicting the presence of two grassland bird species, the lapwing Vanellus vanellus and the redshank Tringa totanus. Some of these models were developed using stepwise selection procedures and the others were developed by Bayesian Model Averaging. Sensitivity, specificity, and probability of correctly ranking fields (AUC) were estimated for each model from observational data. The cost of implementation of each model was computed as a function of the number and types of input variables. Results showed that the presence/absence of lapwings can be predicted more accurately than the presence/absence of redshanks, probably due to the stricter ecological requirements of lapwings. For both species, the highest AUC values were obtained with models combining habitat and management variables. The most costly models were not always the most accurate. Full models and models derived by Bayesian Model Averaging were most costly and less accurate than some of the models derived using selection procedures. When large sets of candidate variables were considered, the models selected using the BIC criterion were less costly and sometimes more accurate than the models selected using the AIC criterion. |
author2 |
Sciences pour l'Action et le Développement : Activités, Produits, Territoires (SADAPT) Institut National de la Recherche Agronomique (INRA)-AgroParisTech Agronomie |
format |
Article in Journal/Newspaper |
author |
Barbottin, Aude Tichit, Muriel Cadet, Claire Makowski, David |
author_facet |
Barbottin, Aude Tichit, Muriel Cadet, Claire Makowski, David |
author_sort |
Barbottin, Aude |
title |
Accuracy and cost of models predicting bird distribution in agricultural grasslands |
title_short |
Accuracy and cost of models predicting bird distribution in agricultural grasslands |
title_full |
Accuracy and cost of models predicting bird distribution in agricultural grasslands |
title_fullStr |
Accuracy and cost of models predicting bird distribution in agricultural grasslands |
title_full_unstemmed |
Accuracy and cost of models predicting bird distribution in agricultural grasslands |
title_sort |
accuracy and cost of models predicting bird distribution in agricultural grasslands |
publisher |
HAL CCSD |
publishDate |
2010 |
url |
https://hal.science/hal-01173187 https://doi.org/10.1016/j.agee.2009.10.009 |
genre |
Vanellus vanellus |
genre_facet |
Vanellus vanellus |
op_source |
EISSN: 0167-8809 Agriculture, Ecosystems & Environment https://hal.science/hal-01173187 Agriculture, Ecosystems & Environment, 2010, 136 (1-2), pp.28-34. ⟨10.1016/j.agee.2009.10.009⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.agee.2009.10.009 hal-01173187 https://hal.science/hal-01173187 doi:10.1016/j.agee.2009.10.009 PRODINRA: 38203 WOS: 000275135100003 |
op_doi |
https://doi.org/10.1016/j.agee.2009.10.009 |
container_title |
Agriculture, Ecosystems & Environment |
container_volume |
136 |
container_issue |
1-2 |
container_start_page |
28 |
op_container_end_page |
34 |
_version_ |
1781707733354938368 |