Comparing detectability patterns of bird species using multi-method occupancy modelling
Abstract A robust knowledge of biodiversity distribution is essential for designing and developing effective conservation actions. The choice of a suitable sampling method is key to obtaining sufficiently accurate information of species distribution and consequently to improve biodiversity conservat...
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Nature Portfolio
2021
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oai:doaj.org-article:c6474fe5d6b542328e96074e7457d6c22021-12-02T13:24:07ZComparing detectability patterns of bird species using multi-method occupancy modelling10.1038/s41598-021-81605-w2045-2322https://doaj.org/article/c6474fe5d6b542328e96074e7457d6c22021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-81605-whttps://doaj.org/toc/2045-2322Abstract A robust knowledge of biodiversity distribution is essential for designing and developing effective conservation actions. The choice of a suitable sampling method is key to obtaining sufficiently accurate information of species distribution and consequently to improve biodiversity conservation. This study applies multi-method occupancy models to 36 common bird species associated with small ponds in the province of Murcia (south-eastern Spain), one of the most arid regions of Europe, in order to compare their effectiveness for detecting different bird species: direct observation, combined observation and video monitoring and mist netting captures. The results showed that the combined method and direct observation were similar and most effective than mist netting for detecting species occupancy, although detection rates ranged widely among bird groups, while some large species were poorly detected by all the methods used. Average detectability did not increase during the breeding period. The chosen approach is particularly applicable to both single- and multi-species bird monitoring programmes. However, we recommend evaluating the cost-effectiveness of all the available methods in order to reduce costs and improve the success of sampling designs.José M. Zamora-MarínAntonio Zamora-LópezJosé F. CalvoFrancisco J. Oliva-PaternaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021) |
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Medicine R Science Q José M. Zamora-Marín Antonio Zamora-López José F. Calvo Francisco J. Oliva-Paterna Comparing detectability patterns of bird species using multi-method occupancy modelling |
description |
Abstract A robust knowledge of biodiversity distribution is essential for designing and developing effective conservation actions. The choice of a suitable sampling method is key to obtaining sufficiently accurate information of species distribution and consequently to improve biodiversity conservation. This study applies multi-method occupancy models to 36 common bird species associated with small ponds in the province of Murcia (south-eastern Spain), one of the most arid regions of Europe, in order to compare their effectiveness for detecting different bird species: direct observation, combined observation and video monitoring and mist netting captures. The results showed that the combined method and direct observation were similar and most effective than mist netting for detecting species occupancy, although detection rates ranged widely among bird groups, while some large species were poorly detected by all the methods used. Average detectability did not increase during the breeding period. The chosen approach is particularly applicable to both single- and multi-species bird monitoring programmes. However, we recommend evaluating the cost-effectiveness of all the available methods in order to reduce costs and improve the success of sampling designs. |
format |
article |
author |
José M. Zamora-Marín Antonio Zamora-López José F. Calvo Francisco J. Oliva-Paterna |
author_facet |
José M. Zamora-Marín Antonio Zamora-López José F. Calvo Francisco J. Oliva-Paterna |
author_sort |
José M. Zamora-Marín |
title |
Comparing detectability patterns of bird species using multi-method occupancy modelling |
title_short |
Comparing detectability patterns of bird species using multi-method occupancy modelling |
title_full |
Comparing detectability patterns of bird species using multi-method occupancy modelling |
title_fullStr |
Comparing detectability patterns of bird species using multi-method occupancy modelling |
title_full_unstemmed |
Comparing detectability patterns of bird species using multi-method occupancy modelling |
title_sort |
comparing detectability patterns of bird species using multi-method occupancy modelling |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/c6474fe5d6b542328e96074e7457d6c2 |
work_keys_str_mv |
AT josemzamoramarin comparingdetectabilitypatternsofbirdspeciesusingmultimethodoccupancymodelling AT antoniozamoralopez comparingdetectabilitypatternsofbirdspeciesusingmultimethodoccupancymodelling AT josefcalvo comparingdetectabilitypatternsofbirdspeciesusingmultimethodoccupancymodelling AT franciscojolivapaterna comparingdetectabilitypatternsofbirdspeciesusingmultimethodoccupancymodelling |
_version_ |
1718393179962605568 |