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Collaboration for conservation : Assessing countrywide carnivore occupancy dynamics from sparse data

Collaboration for conservation : Assessing countrywide carnivore occupancy dynamics from sparse data

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VAN DER WEYDE, Leanne K., Mathias W. TOBLER, Marie Charlotte GIELEN, Gabriele COZZI, Florian J. WEISE, Tempe ADAMS, Dominik BAUER, Emily BENNITT, Matthew BOWLES, Genevieve E. FINERTY, 2022. Collaboration for conservation : Assessing countrywide carnivore occupancy dynamics from sparse data. In: Diversity and Distributions. Wiley. 28(5), pp. 917-929. ISSN 1366-9516. eISSN 1472-4642. Available under: doi: 10.1111/ddi.13386

@article{VanderWeyde2022-05Colla-58139, title={Collaboration for conservation : Assessing countrywide carnivore occupancy dynamics from sparse data}, year={2022}, doi={10.1111/ddi.13386}, number={5}, volume={28}, issn={1366-9516}, journal={Diversity and Distributions}, pages={917--929}, author={Van der Weyde, Leanne K. and Tobler, Mathias W. and Gielen, Marie Charlotte and Cozzi, Gabriele and Weise, Florian J. and Adams, Tempe and Bauer, Dominik and Bennitt, Emily and Bowles, Matthew and Finerty, Genevieve E.} }

Bennitt, Emily Bauer, Dominik Finerty, Genevieve E. Bauer, Dominik Adams, Tempe Cozzi, Gabriele Collaboration for conservation : Assessing countrywide carnivore occupancy dynamics from sparse data Bowles, Matthew Weise, Florian J. Bowles, Matthew Van der Weyde, Leanne K. Adams, Tempe Attribution 4.0 International 2022-07-22T14:26:11Z Gielen, Marie Charlotte Weise, Florian J. eng 2022-07-22T14:26:11Z Cozzi, Gabriele Van der Weyde, Leanne K. Tobler, Mathias W. Gielen, Marie Charlotte Tobler, Mathias W. Finerty, Genevieve E. 2022-05 Aim<br />Assessing the distribution and persistence of species across their range is a crucial component of wildlife conservation. It demands data at adequate spatial scales and over extended periods of time, which may only be obtained through collaborative efforts, and the development of methods that integrate heterogeneous datasets. We aimed to combine existing data on large carnivores to evaluate population dynamics and improve knowledge on their distribution nationwide.<br /><br />Location<br />Botswana.<br /><br />Methods<br />Between 2010 and 2016, we collated data on African wild dog, cheetah, leopard, brown and spotted hyaena and lion gathered with different survey methods by independent researchers across Botswana. We used a multi-species, multi-method dynamic occupancy model to analyse factors influencing occupancy, persistence and colonization, while accounting for imperfect detection. Lastly, we used the gained knowledge to predict the probability of occurrence of each species countrywide.<br /><br />Results<br />Wildlife areas and communal rangelands had similar occupancy probabilities for most species. Large carnivore occupancy was low in commercial farming areas and where livestock density was high, except for brown hyaena. Lion occupancy was negatively associated with human density; lion and spotted hyaena occupancy was high where rainfall was high, while the opposite applied to brown hyaena. Lion and leopard occupancy remained constant countrywide over the study period. African wild dog and cheetah occupancy declined over time in the south and north, respectively, whereas both hyaena species expanded their ranges. Countrywide predictions identified the highest occupancy for leopards and lowest for the two hyaena species.<br /><br />Main Conclusions<br />We highlight the necessity of data sharing and propose a generalizable analytical method that addresses the challenges of heterogeneous data common in ecology. Our approach, which enables a comprehensive multi-species assessment at large spatial and temporal scales, supports the development of data-driven conservation guidelines and the implementation of evidence-based management strategies nationally and internationally. Bennitt, Emily

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