Use of environmental stratification to derive non-breeding population estimates of dispersed waterbirds in Great Britain

Méndez, Verónica; Austin, Graham E.; Musgrove, Andy J.; Ross‐Smith, Viola H.; Hearn, Richard D.; Stroud, David A.; Wotton, Simon R.; Holt, Chas A.

doi:10.1016/j.jnc.2015.09.001

Cited by 5 publications

(9 citation statements)

References 13 publications

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“…With this technique, population densities are estimated based on a predictive model that uses cumulative long‐term information and environmental stratification based on different variables of the habitat for that specific geographical area, as described by Méndez et al. (2015). In our study, extrapolation was mostly done for non‐water‐rich areas with low counting coverage.…”

Section: Methodsmentioning

confidence: 99%

“…In addition, when in some areas in the Netherlands no counts or very few counts are available, long-term data of similar sites, months or years are used to extrapolate these missing values, which is an internationally approved technique within wildlife census schemes (Méndez et al, 2015;Musgrove et al, 2011). With this technique, population densities are estimated based on a predictive model that uses cumulative long-term information and environmental stratification based on different variables of the habitat for that specific geographical area, as described by Méndez et al (2015). In our study, extrapolation was mostly done for non-water-rich areas with low counting coverage.…”

Section: Wild Bird Datamentioning

confidence: 99%

See 1 more Smart Citation

Association of wild bird densities around poultry farms with the risk of highly pathogenic avian influenza virus subtype H5N8 outbreaks in the Netherlands, 2016

Velkers

Manders

Vernooij

et al. 2020

Transbound Emerg Dis

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Section: Methodsmentioning

confidence: 99%

Section: Wild Bird Datamentioning

confidence: 99%

Association of wild bird densities around poultry farms with the risk of highly pathogenic avian influenza virus subtype H5N8 outbreaks in the Netherlands, 2016

Velkers

Manders

Vernooij

et al. 2020

Transbound Emerg Dis

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show abstract

“…The inland waterbody data were derived from OS Master Map Water Network Layer (www.ordnancesurvey.co.uk) partially modified for use in ecological analyses (see Méndez et al, 2015). In each CSZ, the surface occupied by rivers, drains and lakes was calculated.…”

Section: Environmental Datamentioning

confidence: 99%

Bats in urbanising landscapes: habitat selection and recommendations for a sustainable future

Gili

Newson

Gillings

et al. 2020

Biological Conservation

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“…Waterbird populations or diversity have been estimated using similar methods by Méndez et al . (2015) and Nohr and Jorgensen (1997) but on a smaller scales and with other satellite data or radar images (e.g. Taft et al .…”

Section: Discussionmentioning

confidence: 89%

“…However, our proposed methodology has two key advantages: its country-wide scale and an interdisciplinary approach that combines data from both remote sensing and biodiversity monitoring. Waterbird populations or diversity have been estimated using similar methods by Méndez et al (2015) and Nohr and Jorgensen (1997) but on a smaller scales and with other satellite data or radar images (e.g. Taft et al 2003).…”

Section: Remote Sensing Of Open Water Bodies To Predict Waterbird Dismentioning

confidence: 99%

Improving waterbird monitoring and conservation in the Sahel using remote sensing: a case study with the International Waterbird Census in Sudan

Suet

Lozano‐Arango

Rau

et al. 2021

Ibis

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In several regions of the world, the remoteness of potential bird hotspots and lack of trained observers have often prevented countries from effectively designing proper monitoring schemes at a national scale. For many countries, it is not known whether certain bird strongholds have been missed that should be included for more complete censuses. Such gaps at national scales, sometimes large, may be detrimental for global monitoring schemes. To address this, we used the irregular participation of Sudan to the International Waterbird Census (IWC) as a case study. We designed and tested a method based on remote‐sensing data of the country’s lowlands to detect open water bodies in order to develop predictive models of the potential distribution of waterbird abundance and diversity. To identify open water bodies and their flooding duration, we used a Modified Normalized Difference Water Index (MNDWI) derived from Landsat 8 data. Field ornithological surveys were then used as ground‐truth data to estimate the method’s accuracy. The statistical results (overall accuracy = 0.972; Kappa index = 0.93) confirmed its effectiveness. Remotely sensed water bodies and additional environmental covariates were then used to build simple habitat models of the distribution of waterbird abundance and diversity based on IWC field survey data. Of the 3119 remotely sensed clusters of open water bodies, three were predicted to host more than 10 000 waterbirds, 89 more than 1000 waterbirds and five more than 30 waterbird species. Located mainly in the southern agricultural floodplains along the main rivers, these predicted waterbird strongholds are therefore recommended for inclusion in the next IWC survey in Sudan. Our findings indicate that using remote sensing to identify open water bodies combined with simple statistical modelling is likely to be a cost‐effective solution to improve IWC sampling and to enhance both waterbird and wetland monitoring in vast under‐surveyed regions.

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Use of environmental stratification to derive non-breeding population estimates of dispersed waterbirds in Great Britain

Cited by 5 publications

References 13 publications

Association of wild bird densities around poultry farms with the risk of highly pathogenic avian influenza virus subtype H5N8 outbreaks in the Netherlands, 2016

Association of wild bird densities around poultry farms with the risk of highly pathogenic avian influenza virus subtype H5N8 outbreaks in the Netherlands, 2016

Bats in urbanising landscapes: habitat selection and recommendations for a sustainable future

Improving waterbird monitoring and conservation in the Sahel using remote sensing: a case study with the International Waterbird Census in Sudan

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