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Abundance estimation of plains zebras via search–encounter sampling
by
Abadi, Fitsum
, Marshal, Jason P
in
Abundance
/ Animals
/ Capture-recapture studies
/ Data collection
/ Equus quagga
/ Estimates
/ Global positioning systems
/ GPS
/ Nature reserves
/ Parameter estimation
/ Population
/ Sampling
/ Searching
/ Sensors
/ Wildlife conservation
2024
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Abundance estimation of plains zebras via search–encounter sampling
by
Abadi, Fitsum
, Marshal, Jason P
in
Abundance
/ Animals
/ Capture-recapture studies
/ Data collection
/ Equus quagga
/ Estimates
/ Global positioning systems
/ GPS
/ Nature reserves
/ Parameter estimation
/ Population
/ Sampling
/ Searching
/ Sensors
/ Wildlife conservation
2024
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Do you wish to request the book?
Abundance estimation of plains zebras via search–encounter sampling
by
Abadi, Fitsum
, Marshal, Jason P
in
Abundance
/ Animals
/ Capture-recapture studies
/ Data collection
/ Equus quagga
/ Estimates
/ Global positioning systems
/ GPS
/ Nature reserves
/ Parameter estimation
/ Population
/ Sampling
/ Searching
/ Sensors
/ Wildlife conservation
2024
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Abundance estimation of plains zebras via search–encounter sampling
Journal Article
Abundance estimation of plains zebras via search–encounter sampling
2024
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Overview
Spatial capture–recapture (SCR) using search–encounter methods estimate population abundance from encounters of individually recognisable animals along an a priori-designated search path. We applied search–encounter SCR methods and photographic sampling to estimate the abundance of plains zebras (Equus quagga) at Telperion and Ezemvelo nature reserves, South Africa. We analysed encounter data by comparing four hazard-function models for the detection process. The abundance estimate under three models was just above 1000 animals (95% credible intervals c. 960, 1220) versus 811 (719, 917) for the remaining model. The former estimates were broadly similar to aerial counts conducted around the same time. Standard deviation in locations around individual activity centres (σmove) was c. 0.8 km, with little difference between models. In situations where structured surveys are not possible, the approach presented here has the potential to estimate abundance from opportunistic animal encounters (e.g. generated via citizen science schemes) within an SCR framework.
Publisher
Springer Nature B.V
Subject
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