How many are there? Multiple-covariate distance sampling for monitoring pampas deer in Corrientes, Argentina

Context The pampas deer (Ozotoceros bezoarticus) is an endangered species in Argentina. Scarce information exists about one of the four last populations that survive in Corrientes province, where direct counts estimated a population of <500 individuals. Aims To evaluate the status of the pampas d...

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Publicado: 2015
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_10353712_v42_n4_p291_Zamboni
http://hdl.handle.net/20.500.12110/paper_10353712_v42_n4_p291_Zamboni
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spelling paper:paper_10353712_v42_n4_p291_Zamboni2023-06-08T16:00:35Z How many are there? Multiple-covariate distance sampling for monitoring pampas deer in Corrientes, Argentina habitat type line transects Ozotoceros bezoarticus roads survey effort biomonitoring census covariance analysis deer demographic survey future prospect grassland habitat type line transect policy development population density population estimation population growth roadside environment sampling species occurrence standardization tree planting Argentina Corrientes Animalia Cervidae Ozotoceros bezoarticus Context The pampas deer (Ozotoceros bezoarticus) is an endangered species in Argentina. Scarce information exists about one of the four last populations that survive in Corrientes province, where direct counts estimated a population of <500 individuals. Aims To evaluate the status of the pampas deer population in Corrientes by applying a standardised methodology and to develop methodological recommendations for future deer monitoring. Methods We conducted six population censuses between 2007 and 2010, using line transects placed on roads throughout 1200km2 of grasslands in the Aguapey region, Corrientes, Argentina. From a moving vehicle, we counted every pampas deer group observed along transects. We used Distance 6.0 and its multiple-covariate distance sampling engine to estimate deer density, while exploring the potential effect of roads, habitat type, hour, season, observer experience and survey effort on deer occurrence and density estimation. Key results The occurrence of pampas deer was irrespective of transect location (minor or major road) but a greater number of animals was detected over transects in minor roads and in areas covered by grasslands with young pine plantations. We estimated a density of 1.17 individuals km-2 (s.e.≤0.52), and habitat type was the most important covariate for density estimation. We estimated a total population of 1495 deer (95% CI≤951-2351, CV≤23.27%) for the Aguapey region in Argentina. Conclusions Corrientes hosts one of the largest populations of pampas deer in Argentina, with ∼1000 individuals. The fact that we estimated a larger population than did previous studies could be explained either by actual population growth during the past 10 years, or by the use of more exhaustive and sophisticated sampling design and data analysis. Implications Population surveys using covariate distance sampling on ground line transects can provide more realistic population estimates than do other simpler methods. Our population estimates and methods can be used as a baseline for future monitoring of this population, as long as factors such as sampling effort, type of roads for locating transects, and habitat type are considered in future analysis. © CSIRO 2015. 2015 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_10353712_v42_n4_p291_Zamboni http://hdl.handle.net/20.500.12110/paper_10353712_v42_n4_p291_Zamboni
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic habitat type
line transects
Ozotoceros bezoarticus
roads
survey effort
biomonitoring
census
covariance analysis
deer
demographic survey
future prospect
grassland
habitat type
line transect
policy development
population density
population estimation
population growth
roadside environment
sampling
species occurrence
standardization
tree planting
Argentina
Corrientes
Animalia
Cervidae
Ozotoceros bezoarticus
spellingShingle habitat type
line transects
Ozotoceros bezoarticus
roads
survey effort
biomonitoring
census
covariance analysis
deer
demographic survey
future prospect
grassland
habitat type
line transect
policy development
population density
population estimation
population growth
roadside environment
sampling
species occurrence
standardization
tree planting
Argentina
Corrientes
Animalia
Cervidae
Ozotoceros bezoarticus
How many are there? Multiple-covariate distance sampling for monitoring pampas deer in Corrientes, Argentina
topic_facet habitat type
line transects
Ozotoceros bezoarticus
roads
survey effort
biomonitoring
census
covariance analysis
deer
demographic survey
future prospect
grassland
habitat type
line transect
policy development
population density
population estimation
population growth
roadside environment
sampling
species occurrence
standardization
tree planting
Argentina
Corrientes
Animalia
Cervidae
Ozotoceros bezoarticus
description Context The pampas deer (Ozotoceros bezoarticus) is an endangered species in Argentina. Scarce information exists about one of the four last populations that survive in Corrientes province, where direct counts estimated a population of <500 individuals. Aims To evaluate the status of the pampas deer population in Corrientes by applying a standardised methodology and to develop methodological recommendations for future deer monitoring. Methods We conducted six population censuses between 2007 and 2010, using line transects placed on roads throughout 1200km2 of grasslands in the Aguapey region, Corrientes, Argentina. From a moving vehicle, we counted every pampas deer group observed along transects. We used Distance 6.0 and its multiple-covariate distance sampling engine to estimate deer density, while exploring the potential effect of roads, habitat type, hour, season, observer experience and survey effort on deer occurrence and density estimation. Key results The occurrence of pampas deer was irrespective of transect location (minor or major road) but a greater number of animals was detected over transects in minor roads and in areas covered by grasslands with young pine plantations. We estimated a density of 1.17 individuals km-2 (s.e.≤0.52), and habitat type was the most important covariate for density estimation. We estimated a total population of 1495 deer (95% CI≤951-2351, CV≤23.27%) for the Aguapey region in Argentina. Conclusions Corrientes hosts one of the largest populations of pampas deer in Argentina, with ∼1000 individuals. The fact that we estimated a larger population than did previous studies could be explained either by actual population growth during the past 10 years, or by the use of more exhaustive and sophisticated sampling design and data analysis. Implications Population surveys using covariate distance sampling on ground line transects can provide more realistic population estimates than do other simpler methods. Our population estimates and methods can be used as a baseline for future monitoring of this population, as long as factors such as sampling effort, type of roads for locating transects, and habitat type are considered in future analysis. © CSIRO 2015.
title How many are there? Multiple-covariate distance sampling for monitoring pampas deer in Corrientes, Argentina
title_short How many are there? Multiple-covariate distance sampling for monitoring pampas deer in Corrientes, Argentina
title_full How many are there? Multiple-covariate distance sampling for monitoring pampas deer in Corrientes, Argentina
title_fullStr How many are there? Multiple-covariate distance sampling for monitoring pampas deer in Corrientes, Argentina
title_full_unstemmed How many are there? Multiple-covariate distance sampling for monitoring pampas deer in Corrientes, Argentina
title_sort how many are there? multiple-covariate distance sampling for monitoring pampas deer in corrientes, argentina
publishDate 2015
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_10353712_v42_n4_p291_Zamboni
http://hdl.handle.net/20.500.12110/paper_10353712_v42_n4_p291_Zamboni
_version_ 1768546595864838144