| Records |
| Author |
Kachel, S., Anderson, K., Shokirov, Q. |
| Title |
Predicting carnivore habitat use and livestock depredation risk with false-positive multi-state occupancy models |
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Journal Article |
| Year |
2022 |
Publication |
Biological Conservation |
Abbreviated Journal |
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Volume  |
271 |
Issue |
109588 |
Pages |
1-10 |
| Keywords |
Bayesian hierarchical model,False-positive,Multi-state occupancy,Human-carnivore conflict,Livestock depredation,Snow leopard,Lynx,Wolf,Bear |
| Abstract |
The cycle of livestock depredation and retaliatory killing constitutes a major threat to large carnivores worldwide and imposes considerable hardships on human communities. Mitigation efforts are often undertaken with little knowledge of ecological underpinnings and patterns of depredation, limiting conservationists' ability to develop, prioritize, and evaluate solutions. Carnivore detection and depredation data from interviews in affected communities may help address this gap, but such data are often prone to false-positive uncertainty. To address these challenges in the Pamir Mountains of Tajikistan we collected snow leopard, lynx, wolf, and bear detection and depredation reports from local communities via semi-structured interviews. We used a novel hierarchical multi-species multi-state occupancy model that accounted for potential false-positives to investigate carnivore site use and depredation concurrently with respondents' apparent vulnerability to that risk. Estimated false-positive probabilities were small, but failure to account for them overstated site use probabilities and depredation risk for all species. Although individual vulnerability was low, depredation was nonetheless commonplace. Carnivore site use was driven by clear habitat associations, but we did not identify any clearly important large-scale spatial correlates of depredation risk despite considerable spatial variation in that risk. Respondents who sheltered livestock in household corrals reinforced with wire mesh were less likely to report snow leopard depredations. Reducing depredation and retaliation at adequately large scales in the Pamirs will likely require a portfolio of species-specific strategies, including widespread proactive corral improvements. Our approach expanded inference on the often-cryptic processes surrounding human-carnivore conflict even though structured wildlife data were scarce. |
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SLN @ rakhee @ |
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1681 |
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| Author |
Linnell, J.; Swenson, J.; Landa A.; and Kvam, T. |
| Title |
Methods for monitoring European large carnivores – A worldwide review of relevant experience |
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Journal Article |
| Year |
1998 |
Publication |
NINA Oppdragsmelding |
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549 |
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1-38 |
| Keywords |
carnivore; monitoring; census; bear; Lynx; wolf; wolverine; 5310 |
| Abstract |
Against a background of recovering large carnivore populations in Norway, and many other areas of Europe, it is becoming increasingly important to develop methods to monitor their populations. A variety of parameters can monitored depending on objectives. These parameters include: presence/absense, distribution, population trend indices, minimum counts, statistical estimates of population size, reproductive parameters and health/condition. Three broad categories of monitoring techniques can be recognised each with increasing levels of fieldwork required. The first category includes those techniques that do not require original fieldwork. The second category involves fieldwork, but where individually recognisable carnivores are not available. The third category includes methods where fieldwork has recognisable individuals available. Different mehtods tend to have been used for different species, mainly because of limitations imposed by the different species' ecology. The most precise estimates of population size have been obtained in research projects with relatively small study sites and with the help of radio-telemetry. However, it may be difficult, or impossible, to apply these methods over large monitoring areas. Therefore, in terms of practical management, a combination of minimum counts, supported by an independent index may be more useful than statistical population estimates. All methods should be subject to a careful design process, and power analysis should be conducted to determine the sensitivity of the method to detect changes.
Based on the review of over 200 papers and reports we recommend a package of complementary monitoring methods for brown bear, wolverine, lynx and wolf in Norway. These include the use of observations from the public and reports of predation on livestock to determine broad patterns of distribution, and an index based on hunter observations per hunting day, for all four species. Minimum counts of reproductive units, natal dens, family groups, and packs, should be obtained from snow-tracking for wolverines, lynx and wolves respectively. In addition a track-count index should be obtained for wolverines and lynx. As much data as possible should be obtained of lynx and wolvereines killed in the annual harvest. Brown bears will be difficult to monitor without the use of radio-telemetry, therfore they may require periodic telemetry based, mark-recapture studies. Such a program can easily be constructed within existing central and regional wildlife management structures, but will require extensive involvement from hunters. |
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Document Type: English |
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SLN @ rana @ 516 |
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622 |
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