{"title":"Issue Information - Cover","authors":"","doi":"10.1002/jwmg.22601","DOIUrl":"https://doi.org/10.1002/jwmg.22601","url":null,"abstract":"","PeriodicalId":17504,"journal":{"name":"Journal of Wildlife Management","volume":"89 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jwmg.22601","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Morgan L. Anderson, H. Dean Cluff, L. David Mech, Daniel R. MacNulty
The Arctic wolf (Canis lupus arctos) is a predator of muskoxen (Ovibos moschatus), Arctic hares (Lepus arcticus), and endangered Peary caribou (Rangifer tarandus pearyi) in the Canadian High Arctic. Although Arctic wolves potentially affect the dynamics of muskoxen and Peary caribou populations, knowledge about their abundance, distribution, and predation patterns is limited. Inuit and Inuvialuit communities value these species for sociocultural and subsistence reasons, and community members are concerned about how interactions among these species and their environment may change in a warming, unpredictable Arctic. We conducted a study from 2014–2018 of wolves in the rolling tundra of central Ellesmere Island (Fosheim Peninsula) and eastern Axel Heiberg Island. This area supported relatively high densities of muskoxen and Arctic hares, and previously supported Peary caribou, although caribou were mostly absent in the area during our study. We deployed global positioning system (GPS) radio-collars on 10 adult wolves in 6 packs on Ellesmere and Axel Heiberg islands to describe wolf density and predation patterns. Wolves were neither nomadic nor migratory; they remained on territories year-round, with summer densities of 2.5–8.0 adult wolves/1,000 km2 and 3.7–10.4 wolves/1,000 km2 including pups. Based on a ground search of 312 of 868 location clusters over a 340-day period, wolves in a focal study pack killed approximately 0.12 muskoxen/day, equivalent to a predation rate of 5.5–17.0% of the estimated muskox population (older than 10 months old). This predation rate is likely sustainable given that calves and yearlings rather than reproductive adults comprised most documented kills, and that muskox populations can increase at rates up to 20%. The kill rate for this pack also implied a biomass intake deficit of 0.82–1.63 kg/wolf/day that could have been offset by each wolf consuming 115–228 Arctic hares annually. The decline of Peary caribou in the study area precluded any assessment of wolf predation influences on their population, but annual telemetry data confirming the year-round presence of a wolf–ungulate–hare system with relatively high wolf densities suggests that apparent competition could present a challenge to Peary caribou recovery efforts.
{"title":"Wolf density and predation patterns in the Canadian High Arctic","authors":"Morgan L. Anderson, H. Dean Cluff, L. David Mech, Daniel R. MacNulty","doi":"10.1002/jwmg.22671","DOIUrl":"https://doi.org/10.1002/jwmg.22671","url":null,"abstract":"<p>The Arctic wolf (<i>Canis lupus arctos</i>) is a predator of muskoxen (<i>Ovibos moschatus</i>), Arctic hares (<i>Lepus arcticus</i>), and endangered Peary caribou (<i>Rangifer tarandus pearyi</i>) in the Canadian High Arctic. Although Arctic wolves potentially affect the dynamics of muskoxen and Peary caribou populations, knowledge about their abundance, distribution, and predation patterns is limited. Inuit and Inuvialuit communities value these species for sociocultural and subsistence reasons, and community members are concerned about how interactions among these species and their environment may change in a warming, unpredictable Arctic. We conducted a study from 2014–2018 of wolves in the rolling tundra of central Ellesmere Island (Fosheim Peninsula) and eastern Axel Heiberg Island. This area supported relatively high densities of muskoxen and Arctic hares, and previously supported Peary caribou, although caribou were mostly absent in the area during our study. We deployed global positioning system (GPS) radio-collars on 10 adult wolves in 6 packs on Ellesmere and Axel Heiberg islands to describe wolf density and predation patterns. Wolves were neither nomadic nor migratory; they remained on territories year-round, with summer densities of 2.5–8.0 adult wolves/1,000 km<sup>2</sup> and 3.7–10.4 wolves/1,000 km<sup>2</sup> including pups. Based on a ground search of 312 of 868 location clusters over a 340-day period, wolves in a focal study pack killed approximately 0.12 muskoxen/day, equivalent to a predation rate of 5.5–17.0% of the estimated muskox population (older than 10 months old). This predation rate is likely sustainable given that calves and yearlings rather than reproductive adults comprised most documented kills, and that muskox populations can increase at rates up to 20%. The kill rate for this pack also implied a biomass intake deficit of 0.82–1.63 kg/wolf/day that could have been offset by each wolf consuming 115–228 Arctic hares annually. The decline of Peary caribou in the study area precluded any assessment of wolf predation influences on their population, but annual telemetry data confirming the year-round presence of a wolf–ungulate–hare system with relatively high wolf densities suggests that apparent competition could present a challenge to Peary caribou recovery efforts.</p>","PeriodicalId":17504,"journal":{"name":"Journal of Wildlife Management","volume":"89 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Devin L. Johnson, Joseph M. Eisaguirre, Rebecca L. Taylor, Erik M. Andersen, Joel L. Garlich-Miller
Harvest sustainability is a primary goal of wildlife management and conservation, and in a changing world, it is increasingly important to consider environmental drivers of population dynamics alongside harvest in cohesive management plans. This is particularly pertinent for harvested species that acutely experience effects of climate change. The Pacific walrus (Odobenus rosmarus divergens), a crucial subsistence resource for Indigenous communities, is simultaneously subject to rapid habitat loss associated with diminishing sea ice and an increasing anthropogenic footprint in the Arctic. We developed a theta-logistic population modeling-management framework to evaluate various harvest scenarios combined with 4 potential climate and disturbance scenarios (ranging from optimistic to pessimistic, based largely on sea ice projections from general circulation models) to simulate Pacific walrus population dynamics to the end of the twenty-first century, focusing on the independent-aged female subset of the population. We considered 2 types of harvest strategies: 1) state-dependent harvest scenarios wherein we calculated harvest as a percentage of the population and updated annual harvests at set intervals as the population was reassessed, and 2) annually consistent harvest scenarios wherein annual harvest levels remain consistent into the future. All climate and disturbance scenarios indicated declines of varying severity in Pacific walrus abundance to the end of the twenty-first century, even in the absence of harvest. However, we found that a state-dependent annual harvest of 1.23% of the independent-aged female subset of the population (e.g., 1,280 independent-aged females harvested in 2020, similar to contemporary harvest levels) met our criterion for sustainability under all climate and disturbance scenarios, considering a medium risk tolerance level of 25%. This indicates that the present rate of Pacific walrus harvest is sustainable and will continue to be—provided the population is assessed at regular intervals and harvest is adapted to match changes in population dynamics. Our simulations indicate that a sustainable annually-consistent harvest is also possible but only at low levels if the population declines as expected. Applying a constant annual harvest of 1,280 independent-aged females failed to meet our criterion for sustainability under 3 of the 4 climate and disturbance scenarios we evaluated and had a higher probability of quasi-extinction than an equivalent state-dependent harvest scenario (1.23%). We highlight the importance of state-dependent management strategies and suggest our modeling framework is useful for managing harvest sustainability in a changing climate.
{"title":"Assessing the sustainability of Pacific walrus harvest in a changing environment","authors":"Devin L. Johnson, Joseph M. Eisaguirre, Rebecca L. Taylor, Erik M. Andersen, Joel L. Garlich-Miller","doi":"10.1002/jwmg.22686","DOIUrl":"https://doi.org/10.1002/jwmg.22686","url":null,"abstract":"<p>Harvest sustainability is a primary goal of wildlife management and conservation, and in a changing world, it is increasingly important to consider environmental drivers of population dynamics alongside harvest in cohesive management plans. This is particularly pertinent for harvested species that acutely experience effects of climate change. The Pacific walrus (<i>Odobenus rosmarus divergens</i>), a crucial subsistence resource for Indigenous communities, is simultaneously subject to rapid habitat loss associated with diminishing sea ice and an increasing anthropogenic footprint in the Arctic. We developed a theta-logistic population modeling-management framework to evaluate various harvest scenarios combined with 4 potential climate and disturbance scenarios (ranging from optimistic to pessimistic, based largely on sea ice projections from general circulation models) to simulate Pacific walrus population dynamics to the end of the twenty-first century, focusing on the independent-aged female subset of the population. We considered 2 types of harvest strategies: 1) state-dependent harvest scenarios wherein we calculated harvest as a percentage of the population and updated annual harvests at set intervals as the population was reassessed, and 2) annually consistent harvest scenarios wherein annual harvest levels remain consistent into the future. All climate and disturbance scenarios indicated declines of varying severity in Pacific walrus abundance to the end of the twenty-first century, even in the absence of harvest. However, we found that a state-dependent annual harvest of 1.23% of the independent-aged female subset of the population (e.g., 1,280 independent-aged females harvested in 2020, similar to contemporary harvest levels) met our criterion for sustainability under all climate and disturbance scenarios, considering a medium risk tolerance level of 25%. This indicates that the present rate of Pacific walrus harvest is sustainable and will continue to be—provided the population is assessed at regular intervals and harvest is adapted to match changes in population dynamics. Our simulations indicate that a sustainable annually-consistent harvest is also possible but only at low levels if the population declines as expected. Applying a constant annual harvest of 1,280 independent-aged females failed to meet our criterion for sustainability under 3 of the 4 climate and disturbance scenarios we evaluated and had a higher probability of quasi-extinction than an equivalent state-dependent harvest scenario (1.23%). We highlight the importance of state-dependent management strategies and suggest our modeling framework is useful for managing harvest sustainability in a changing climate.</p>","PeriodicalId":17504,"journal":{"name":"Journal of Wildlife Management","volume":"89 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jwmg.22686","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
John-André Henden, Rolf Anker Ims, Marita Anti Strømeng
Photographic monitoring currently provides the most accurate means for identifying nest predators and eventually their role in bird population declines worldwide. However, previous studies have found that commercially available trail cameras represent an artificial structure that tend to negatively bias predation rates, likely through predator neophobia. Based on an experiment in Arctic tundra, involving 50 artificial nests and 30 cameras in each of 2 breeding seasons, we demonstrated that trail cameras attracted corvids (in particular ravens [Corvus corax]), which caused an extreme and positively biased predation rate that was consistent over a range of experimental and environmental conditions. We call for new technologies that allow for photographic monitoring of bird nests with minimal visual footprints, in the form of smaller cameras and more efficient internal batteries to minimize novel and conspicuous external features detectable by predators. However, even such improved devices need to be assessed with respect to potential effects on nest predation in each case.
{"title":"Trail cameras can greatly inflate nest predation rates","authors":"John-André Henden, Rolf Anker Ims, Marita Anti Strømeng","doi":"10.1002/jwmg.22684","DOIUrl":"https://doi.org/10.1002/jwmg.22684","url":null,"abstract":"<p>Photographic monitoring currently provides the most accurate means for identifying nest predators and eventually their role in bird population declines worldwide. However, previous studies have found that commercially available trail cameras represent an artificial structure that tend to negatively bias predation rates, likely through predator neophobia. Based on an experiment in Arctic tundra, involving 50 artificial nests and 30 cameras in each of 2 breeding seasons, we demonstrated that trail cameras attracted corvids (in particular ravens [<i>Corvus corax</i>]), which caused an extreme and positively biased predation rate that was consistent over a range of experimental and environmental conditions. We call for new technologies that allow for photographic monitoring of bird nests with minimal visual footprints, in the form of smaller cameras and more efficient internal batteries to minimize novel and conspicuous external features detectable by predators. However, even such improved devices need to be assessed with respect to potential effects on nest predation in each case.</p>","PeriodicalId":17504,"journal":{"name":"Journal of Wildlife Management","volume":"89 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jwmg.22684","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142862185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
<p>This is the first issue of <i>The Journal of Wildlife Management</i> (<i>JWM</i>) for which I served as Editor-in-Chief (EIC). I am deeply grateful for the trust and support of The Wildlife Society (TWS) and honored to follow in the footsteps of the esteemed EICs that have preceded me.</p><p>Foremost, I want to acknowledge the indelible legacy of our outgoing EIC, Paul Krausman. His collective time as EIC for JWM spanned 11 years (he served another 5 years as EIC for Wildlife Monographs), which contrasts to an average of ~2.5 years for the 31 other JWM EICs (Krausman <span>2022<i>a</i></span>). No other EIC for JWM oversaw such a dramatic scope of change in the publishing arena as Paul. To elaborate on that point, consider that Paul's EIC career began in 1988 with a drive to Texas for the transfer of “boxes upon boxes” of printed manuscripts (Krausman <span>2022<i>a</i></span>) and culminated with navigating how to embrace the benefits and guard against the perils of artificial intelligence in scientific publishing (Krausman <span>2023<i>a</i></span>). Paul deftly guided, protected, and improved our flagship journal through innumerable challenges over his career. I am grateful for his expertise and thoughtful leadership of JWM and his mentorship as he passed the torch to me.</p><p>In reviewing Paul's editorials, key aspects of his legacy as EIC became apparent and invariably underscored his goal of publishing “the best science in the field available to advance wildlife management and conservation” (Krausman <span>2022<i>a</i></span>). Towards that end Paul often offered tips for communicating science effectively (Krausman <span>2016<i>a</i></span>, <span><i>b</i></span>, <span>2017<i>a</i></span>, <span><i>b</i></span>, <span>2018<i>a</i></span>, <span>2020<i>a</i></span>, <span>2024<i>a</i></span>; Krausman and Cox <span>2020</span>), providing specific guidance to graduate students and first-time authors (Krausman <span>2021<i>a</i></span>, <span>2024<i>b</i></span>), establishing a WILD program to improve the quality of English writing and by extension the accessibility of JWM to international authors (Krausman <span>2015<i>a</i></span>), emphasizing ethics in science and publishing (Krausman <span>2016<i>c</i></span>, <span>2021<i>b</i></span>), and providing insights into how to get publications noticed (Krausman <span>2016<i>e</i></span>). As EIC, Paul often sought and was responsive to author concerns (Krausman <span>2017<i>c</i></span>, <span>2022<i>b</i></span>)—summarizing and streamlining author guidelines (Krausman <span>2017<i>d</i></span>, <span><i>e</i></span>, <span>2018<i>b</i></span>), explaining the necessary evils of page charges (Krausman <span>2017<i>f</i></span>) and rejections (Krausman <span>2020<i>b</i></span>), clarifying content differences between JWM and the Wildlife Society Bulletin (Krausman <span>2016<i>d</i></span>), highlighting the benefits of publishing with Wiley (Krausman <span>2017<i>g</i></span>), and b
{"title":"Thank you to our Guardians of Science","authors":"Jacqueline L. Frair","doi":"10.1002/jwmg.22700","DOIUrl":"https://doi.org/10.1002/jwmg.22700","url":null,"abstract":"<p>This is the first issue of <i>The Journal of Wildlife Management</i> (<i>JWM</i>) for which I served as Editor-in-Chief (EIC). I am deeply grateful for the trust and support of The Wildlife Society (TWS) and honored to follow in the footsteps of the esteemed EICs that have preceded me.</p><p>Foremost, I want to acknowledge the indelible legacy of our outgoing EIC, Paul Krausman. His collective time as EIC for JWM spanned 11 years (he served another 5 years as EIC for Wildlife Monographs), which contrasts to an average of ~2.5 years for the 31 other JWM EICs (Krausman <span>2022<i>a</i></span>). No other EIC for JWM oversaw such a dramatic scope of change in the publishing arena as Paul. To elaborate on that point, consider that Paul's EIC career began in 1988 with a drive to Texas for the transfer of “boxes upon boxes” of printed manuscripts (Krausman <span>2022<i>a</i></span>) and culminated with navigating how to embrace the benefits and guard against the perils of artificial intelligence in scientific publishing (Krausman <span>2023<i>a</i></span>). Paul deftly guided, protected, and improved our flagship journal through innumerable challenges over his career. I am grateful for his expertise and thoughtful leadership of JWM and his mentorship as he passed the torch to me.</p><p>In reviewing Paul's editorials, key aspects of his legacy as EIC became apparent and invariably underscored his goal of publishing “the best science in the field available to advance wildlife management and conservation” (Krausman <span>2022<i>a</i></span>). Towards that end Paul often offered tips for communicating science effectively (Krausman <span>2016<i>a</i></span>, <span><i>b</i></span>, <span>2017<i>a</i></span>, <span><i>b</i></span>, <span>2018<i>a</i></span>, <span>2020<i>a</i></span>, <span>2024<i>a</i></span>; Krausman and Cox <span>2020</span>), providing specific guidance to graduate students and first-time authors (Krausman <span>2021<i>a</i></span>, <span>2024<i>b</i></span>), establishing a WILD program to improve the quality of English writing and by extension the accessibility of JWM to international authors (Krausman <span>2015<i>a</i></span>), emphasizing ethics in science and publishing (Krausman <span>2016<i>c</i></span>, <span>2021<i>b</i></span>), and providing insights into how to get publications noticed (Krausman <span>2016<i>e</i></span>). As EIC, Paul often sought and was responsive to author concerns (Krausman <span>2017<i>c</i></span>, <span>2022<i>b</i></span>)—summarizing and streamlining author guidelines (Krausman <span>2017<i>d</i></span>, <span><i>e</i></span>, <span>2018<i>b</i></span>), explaining the necessary evils of page charges (Krausman <span>2017<i>f</i></span>) and rejections (Krausman <span>2020<i>b</i></span>), clarifying content differences between JWM and the Wildlife Society Bulletin (Krausman <span>2016<i>d</i></span>), highlighting the benefits of publishing with Wiley (Krausman <span>2017<i>g</i></span>), and b","PeriodicalId":17504,"journal":{"name":"Journal of Wildlife Management","volume":"89 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jwmg.22700","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142862169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Robin E. Russell, Daniel W. Tripp, Katherine L. D. Richgels, Tonie E. Rocke
Prairie dogs are notoriously difficult to enumerate, with previously methods including visual counts, mark-resight, burrow counts, and catch per unit effort. Unlike those methods, spatial capture-recapture (SCR) analyses allow for formal estimation of density along with associated estimates of uncertainty, detection probability, and the size of the average area over which an individual was detected during the study period (referred to as an activity center). Using SCR analyses, we compared density estimates as part of a field trial evaluating the effectiveness of an oral sylvatic plague vaccine in black-tailed prairie dogs (Cynomys ludovicianus), Gunnison's prairie dogs (C. gunnisoni), white-tailed prairie dogs (C. leucurus), and Utah prairie dogs (C. parvidens) at 11 study areas in the western United States. The study was designed as a matched pairs analysis that included 27 individual paired plots (54 plots), each consisting of a plot treated with vaccine baits and a plot treated with placebo baits. Overall, we captured >3,000 individuals each year on these plots, and recapture rates ranged from 5–87%. For black-tailed prairie dogs, density estimates ranged from 2.7 individuals/ha (95% CI = 2.2–3.3/ha) to 77.3/ha (63.2–94.4/ha), and for Gunnison's prairie dogs, estimates ranged from 11.7/ha (10.6–12.8/ha) to 15.4/ha (14.4–16.7/ha). White-tailed prairie dogs were at their lowest density (3.3/ha, 95% CI = 2.9–3.8/ha) during the first year of the study and their highest density (14.5/ha; 13.5–15.6/ha) during the last year of the study. Utah prairie dog density estimates ranged from a low of 4.0/ha (95% CI = 3.55–4.6/ha) to a high of 20.8/ha (16.8–25.8/ha). Best-fitting models of prairie dog density indicated increasing patterns of density over time on most study plots, negative effects of plague, and positive effects of vaccination. Finally, we found low correlations between catch per unit effort estimates from previous published literature at these sites and our densities estimates. Spatial capture-recapture estimates allowed us to consistently compare treatment effects across space and time, although some exceptions are noted where we observed significant movement between plots within a pair (3 pairs) and when trapping effort between plots or years was not consistent.
草原土拨鼠是出了名的难以计数的,以前的方法包括目测计数、标记视力、洞穴计数和单位捕获量。与这些方法不同,空间捕获-再捕获(SCR)分析允许对密度进行正式估计,同时对不确定性、检测概率和研究期间检测到个体的平均区域(称为活动中心)的大小进行相关估计。利用SCR分析,我们比较了在美国西部11个研究区域对黑尾草原土拨鼠(Cynomys ludovicianus)、甘尼森草原土拨鼠(C. gunnisoni)、白尾草原土拨鼠(C. leucurus)和犹他草原土拨鼠(C. parvidens)口服森林鼠疫疫苗有效性的实地试验的密度估计。该研究被设计为配对分析,包括27个单独的配对地块(54个地块),每个地块由一个用疫苗诱饵处理的地块和一个用安慰剂诱饵处理的地块组成。总的来说,我们每年在这些地块上捕获3000只个体,再捕获率在5-87%之间。黑尾土拨鼠的密度估计范围为2.7只/公顷(95% CI = 2.2-3.3 /公顷)至77.3只/公顷(63.2-94.4 /公顷),甘尼森土拨鼠的密度估计范围为11.7只/公顷(10.6-12.8 /公顷)至15.4只/公顷(14.4-16.7 /公顷)。白尾土拨鼠在研究的第一年密度最低(3.3只/公顷,95% CI = 2.9-3.8只/公顷),而在研究的第一年密度最高(14.5只/公顷;13.5-15.6 /公顷)。犹他州草原土拨鼠的密度估计从最低的4.0只/公顷(95% CI = 3.55-4.6只/公顷)到最高的20.8只/公顷(16.8-25.8只/公顷)不等。最适合的草原土拨鼠密度模型表明,在大多数研究地块上,随着时间的推移,草原土拨鼠密度呈增加趋势,鼠疫的负面影响和疫苗接种的积极影响。最后,我们发现这些地点以前发表的文献的单位努力渔获量估计值与我们的密度估计值之间的相关性很低。空间捕获-再捕获估计使我们能够在空间和时间上一致地比较处理效果,尽管我们注意到一些例外情况,即我们观察到一对(3对)中的地块之间的显著移动,以及当地块或年份之间的捕获努力不一致时。
{"title":"Density estimation using spatial capture-recapture analyses: application to vaccination of prairie dogs against sylvatic plague","authors":"Robin E. Russell, Daniel W. Tripp, Katherine L. D. Richgels, Tonie E. Rocke","doi":"10.1002/jwmg.22685","DOIUrl":"https://doi.org/10.1002/jwmg.22685","url":null,"abstract":"<p>Prairie dogs are notoriously difficult to enumerate, with previously methods including visual counts, mark-resight, burrow counts, and catch per unit effort. Unlike those methods, spatial capture-recapture (SCR) analyses allow for formal estimation of density along with associated estimates of uncertainty, detection probability, and the size of the average area over which an individual was detected during the study period (referred to as an activity center). Using SCR analyses, we compared density estimates as part of a field trial evaluating the effectiveness of an oral sylvatic plague vaccine in black-tailed prairie dogs (<i>Cynomys ludovicianus</i>), Gunnison's prairie dogs (<i>C. gunnisoni</i>), white-tailed prairie dogs (<i>C. leucurus</i>), and Utah prairie dogs (<i>C. parvidens</i>) at 11 study areas in the western United States. The study was designed as a matched pairs analysis that included 27 individual paired plots (54 plots), each consisting of a plot treated with vaccine baits and a plot treated with placebo baits. Overall, we captured >3,000 individuals each year on these plots, and recapture rates ranged from 5–87%. For black-tailed prairie dogs, density estimates ranged from 2.7 individuals/ha (95% CI = 2.2–3.3/ha) to 77.3/ha (63.2–94.4/ha), and for Gunnison's prairie dogs, estimates ranged from 11.7/ha (10.6–12.8/ha) to 15.4/ha (14.4–16.7/ha). White-tailed prairie dogs were at their lowest density (3.3/ha, 95% CI = 2.9–3.8/ha) during the first year of the study and their highest density (14.5/ha; 13.5–15.6/ha) during the last year of the study. Utah prairie dog density estimates ranged from a low of 4.0/ha (95% CI = 3.55–4.6/ha) to a high of 20.8/ha (16.8–25.8/ha). Best-fitting models of prairie dog density indicated increasing patterns of density over time on most study plots, negative effects of plague, and positive effects of vaccination. Finally, we found low correlations between catch per unit effort estimates from previous published literature at these sites and our densities estimates. Spatial capture-recapture estimates allowed us to consistently compare treatment effects across space and time, although some exceptions are noted where we observed significant movement between plots within a pair (3 pairs) and when trapping effort between plots or years was not consistent.</p>","PeriodicalId":17504,"journal":{"name":"Journal of Wildlife Management","volume":"89 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142862176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zikun Gao, Ruifen Wang, Yang Yang, Shuyu Jin, Xingzhe Wang, Qiaoqi Sun, Kun Shi
As wild boar populations and their distribution ranges increase, human–wild boar conflicts have become increasingly prevalent in numerous regions across the globe. These conflicts have a profound impact on human livelihoods, resulting in significant economic losses. Understanding the habitat requirements and relative abundance of wild boars is crucial prior to implementing any conservation measures. However, studies on wild boar habitat and population in the central and eastern regions of the Tianshan Mountains in China are lacking. We assessed the activity patterns and relative abundance of wild boars in these areas and evaluated habitat suitability using a combination of camera trapping, line transects, species distribution modeling (maximum entropy model), and hierarchical abundance modeling (Bayesian N-mixture model). We used 311 infrared cameras and 280 field-based line transects to cover approximately 31,000 km² from September 2022 to May 2023 in the east-central Tianshan Mountains. We used 240 wild boar distribution locations and 13 environmental predictors in the development of species distribution models. We also used species counts and associated environmental predictors in the N-mixture model to estimate the relative abundance of wild boar. Wild boars were most active during crepuscular hours (1800), and relatively active in the diurnal period compared to the nocturnal period. The probability of wild boar occurrence increased with higher normalized difference vegetation index (NDVI), the minimum temperature of the coldest month, and annual temperatures below 39°C. Boars were most likely to be found in closed deciduous-coniferous forests. The relative abundance of wild boars was positively affected by NDVI and negatively affected by the minimum temperature of the coldest month and temperature annual range. Based on our results, we suggest areas of management priority. In particular, extensive and intact habitat with substantial wild boar populations, such as the Banfanggou, the South Mountain of Urumqi, and the Hutubi, should be prioritized for long-term wild boar population monitoring and management so the adverse impacts of increasing wild boar populations in the study region can be minimized.
{"title":"Habitat suitability and relative abundance of wild boars in the east-central Tianshan Mountains, China","authors":"Zikun Gao, Ruifen Wang, Yang Yang, Shuyu Jin, Xingzhe Wang, Qiaoqi Sun, Kun Shi","doi":"10.1002/jwmg.22683","DOIUrl":"https://doi.org/10.1002/jwmg.22683","url":null,"abstract":"<p>As wild boar populations and their distribution ranges increase, human–wild boar conflicts have become increasingly prevalent in numerous regions across the globe. These conflicts have a profound impact on human livelihoods, resulting in significant economic losses. Understanding the habitat requirements and relative abundance of wild boars is crucial prior to implementing any conservation measures. However, studies on wild boar habitat and population in the central and eastern regions of the Tianshan Mountains in China are lacking. We assessed the activity patterns and relative abundance of wild boars in these areas and evaluated habitat suitability using a combination of camera trapping, line transects, species distribution modeling (maximum entropy model), and hierarchical abundance modeling (Bayesian N-mixture model). We used 311 infrared cameras and 280 field-based line transects to cover approximately 31,000 km² from September 2022 to May 2023 in the east-central Tianshan Mountains. We used 240 wild boar distribution locations and 13 environmental predictors in the development of species distribution models. We also used species counts and associated environmental predictors in the N-mixture model to estimate the relative abundance of wild boar. Wild boars were most active during crepuscular hours (1800), and relatively active in the diurnal period compared to the nocturnal period. The probability of wild boar occurrence increased with higher normalized difference vegetation index (NDVI), the minimum temperature of the coldest month, and annual temperatures below 39°C. Boars were most likely to be found in closed deciduous-coniferous forests. The relative abundance of wild boars was positively affected by NDVI and negatively affected by the minimum temperature of the coldest month and temperature annual range. Based on our results, we suggest areas of management priority. In particular, extensive and intact habitat with substantial wild boar populations, such as the Banfanggou, the South Mountain of Urumqi, and the Hutubi, should be prioritized for long-term wild boar population monitoring and management so the adverse impacts of increasing wild boar populations in the study region can be minimized.</p>","PeriodicalId":17504,"journal":{"name":"Journal of Wildlife Management","volume":"89 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142862271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michelle L. McLellan, Adam T. Ford, Dave Hervieux, Clayton T. Lamb, Mateen Hessami, Michael C. Bridger, Robert Serrouya
<p>Woodland caribou (<i>Rangifer tarandus caribou</i>) are declining across much of their distribution in Canada in response to habitat alteration, leading to unsustainable predation, particularly by wolves (<i>Canis lupus</i>). Habitat alteration can benefit the primary prey species of wolves (moose [<i>Alces alces</i>] and deer [<i>Odocoileus</i> spp.]) by creating early seral conditions that contain more of their preferred food types. This increase in primary prey populations results in elevated wolf abundance and heightened predation pressure on caribou. In response to the elevated wolf populations and the risks to caribou, managers have reduced wolf abundance in key areas. Ecological theory suggests that reducing wolf abundance would release moose from the top-down effects of wolf predation, potentially allowing moose populations to grow. Elevated moose abundance thus has the potential to cause wolf populations to rebound quickly each year following reductions, suggesting a possible link between moose abundance and the number of wolves killed for caribou conservation. To test this idea we used a unique management situation in British Columbia and Alberta, Canada, where lethal wolf removals were annually conducted across specific southern mountain caribou population ranges and, in some places, moose populations were concurrently reduced via liberalized hunting. We used indices of moose abundance and wolf removal data to test the hypothesis that reducing moose populations to a historical abundance target by hunting leads to fewer wolves killed for caribou conservation. After controlling for habitat quality, wolves removed per km<sup>2</sup> was 3.2 times lower in areas with reduced moose density (<span></span><math>