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How reliable are total counts to detect trends in population size of chamois Rupicapra rupicapra and R. pyrenaica?
Author(s) -
Loison Anne,
Appolinaire Joel,
Jullien JeanMichel,
Dubray Dominique
Publication year - 2006
Publication title -
wildlife biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.566
H-Index - 52
eISSN - 1903-220X
pISSN - 0909-6396
DOI - 10.2981/0909-6396(2006)12[77:hratct]2.0.co;2
Subject(s) - population size , population , transect , mark and recapture , index (typography) , statistics , distance sampling , resampling , biology , population density , geography , ecology , demography , mathematics , world wide web , computer science , sociology
Censusing wild populations and detecting trends in population size over time is an important task in the conservation and management of wildlife. We compared two methods used to monitor numbers of chamois Rupicapra rupicapra and R. pyrenaica in two contrasting populations, and explored the relationship between the sampling effort and the repeatability of the results using resampling methods. One population in the Alps had been stable at a high density for several years, whereas the other population, located in the Pyrénées, was increasing exponentially, following a reintroduction. In both sites, a long‐term monitoring programme based on individually marked chamois, allowed us to estimate population size using capture‐mark‐recapture methods (CMR). In addition, we calculated an index of population size as the mean number of animals observed on a foot transect surveyed repeatedly. We then compared whether trends estimated by each method were consistent. In the increasing population, both the index and the CMR estimates revealed an exponential increase in population size. In the stable population, neither the index nor the CMR estimate revealed any trend in size. Consistent results between the index and the CMR suggest that the index could be used to monitor trends in population size. Resampling techniques, however, pointed out that the index is only reliable when calculated over a sufficient number of surveys per year (10 in the Pyrenees, three in the Alps) and over a sufficient number of years of monitoring (about five years).

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