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31.
Jerod A. Merkle Hall Sawyer Kevin L. Monteith Samantha P. H. Dwinnell Gary L. Fralick Matthew J. Kauffman 《Ecology letters》2019,22(11):1797-1805
From fine‐scale foraging to broad‐scale migration, animal movement is shaped by the distribution of resources. There is mounting evidence, however, that learning and memory also guide movement. Although migratory mammals commonly track resource waves, how resource tracking and memory guide long‐distance migration has not been reconciled. We examined these hypotheses using movement data from four populations of migratory mule deer (n = 91). Spatial memory had an extraordinary influence on migration, affecting movement 2–28 times more strongly than tracking spring green‐up or autumn snow depth. Importantly, with only an ability to track resources, simulated deer were unable to recreate empirical migratory routes. In contrast, simulated deer with memory of empirical routes used those routes and obtained higher foraging benefits. For migratory terrestrial mammals, spatial memory provides knowledge of where seasonal ranges and migratory routes exist, whereas resource tracking determines when to beneficially move within those areas. 相似文献
32.
本文利用13对微卫星标记,对我国3个核心种源地(巴山、秦岭、川西高原)圈养林麝种群进行遗传多样性和遗传结构分析。在167份样品中共检测到142个等位基因(Na),每个位点等位基因数介于7~16,均值为10.92,平均有效等位基因数(Ne)为6.3730,期望杂合度(He)和观测杂合度(Ho)均值分别为0.8302和0.3897。这些圈养林麝种群遗传多样性水平较高,但较低的观测杂合度表明圈养群体存在近交现象。两两群体间的Fst 值和AMOVA分析结果均表明种群之间分化程度不明显。群体遗传结构分析显示,全部样本聚为3个遗传簇(最佳K值=3),其主体与3个地理来源相符,但种群间存在基因渗透现象。本研究中的秦岭种群遗传变异最为丰富,可以作为种质改良的基因池。 相似文献
34.
R. Mauget Christiane Mauget G. Dubost Florence Charron Aurlie Courcoul Aurlie Rodier 《Mammalian Biology》2007,72(1):14-26
The annual reproductive cycle of Chinese water deer (Hydropotes inermis), a nearly threatened small cervid species, was studied by means of fecal steroid analysis coupled with behavioural observations. Data showed a clearly seasonal reproductive pattern. In adult males, the onset of androgen secretion, in October, was concomitant with the first manifestations of territoriality. Androgen metabolites concentrations reached significant peak values in December, when matings occurred. In mature females, there was a close synchrony in reproductive states: lactational/seasonal anoestrus from June to November, pregnancy from December to May. Fecal progesterone metabolites profiles suggested that silent ovulations occurred at the onset of breeding season and that females conceived at their first ovulation with behavioural estrus. The female sexual receptivity state might last only a few hours. High levels of sniffing, parades and pursuits, concomitant of the highest concentrations of androgen, could allow the males to detect the furtive estrus in the females present in their territory. We concluded that the non-invasive method applied for the first time in this species was useful for the evaluation of the endocrine status and its relation with behaviour. 相似文献
35.
Jacob M. Haus Stephen L. Webb Bronson K. Strickland Joseph E. Rogerson Jacob L. Bowman 《The Journal of wildlife management》2019,83(5):1185-1196
Restoring male age structure in white-tailed deer populations has become an important objective for many state agencies aimed at improving herd dynamics. Limiting mortality in the yearling (1–2 yr old) age class is a primary consideration, and regional differences in climate, habitat characteristics, hunting regulations, and hunter behavior complicate the understanding of how specific factors influence the risk of mortality. We used Cox proportional hazard modeling to determine the effects of body size, mean distance to road, dispersal behaviors, use of forested land, and use of land open to public hunting on the risk of mortality for a population of radio-collared, yearling males (n = 76) in Sussex County, Delaware, USA. Annual survival averaged 0.55 (95% CI = 0.45–0.68), with harvest accounting for 79% (26/33) of all mortalities. Measurements of body size (chest girth, shoulder height, and total length; cm) influenced dispersal probability but not dispersal distance. The best approximating model for mortality risk included a covariate for landownership, whereby mortality risk increased on public land. Among males who dispersed, longer-distance dispersal was associated with reduced mortality, which contradicts previous research describing dispersal as a high-risk behavior. The effect of landownership on mortality risk has not been previously identified, especially when regulations regarding harvest of yearling males are similar between landownership types. We observed annual survival rates of 0.69 (95% CI = 0.57–0.82) for deer apparently using private land exclusively during the hunting season, and 0.20 (95% CI = 0.11–0.48) for deer that used public land during the hunting season. Survival rates on private land were comparable to those of other regions actively managing male age structure. These results suggest survival of yearling males in the region is influenced by hunter harvest and the risks associated with dispersal may be minimal in areas where harvest pressure is low, although hunter harvest on public land may limit male age structure on a localized scale. © The Wildlife Society, 2019 相似文献
36.
Todd M. Kautz Jerrold L. Belant Dean E. Beyer Jr. Bronson K. Strickland Tyler R. Petroelje Rahel Sollmann 《The Journal of wildlife management》2019,83(5):1261-1270
Predation is the dominant source of mortality for white-tailed deer (Odocoileus virginianus) <6 months old throughout North America. Yet, few white-tailed deer fawn survival studies have occurred in areas with 4 predator species or have considered concurrent densities of deer and predator species. We monitored survival and cause-specific mortality from birth to 6 months for 100 neonatal fawns during 2013–2015 in the Upper Peninsula of Michigan, USA, while simultaneously estimating population densities of deer, American black bear (Ursus americanus), coyote (Canis latrans), bobcat (Lynx rufus), and gray wolf (Canis lupus). We estimated fawn predation risk in response to sex, birth mass, and date of birth. Six-month fawn survival pooled among years was 36%, and fawn mortality risk was not related to birth mass, date of birth, or sex. Estimated mean annual deer and predator densities were 334 fawns/100 km2, 25.9 black bear/100 km2, 23.8 coyotes/100 km2, 3.8 bobcat/100 km2, and 2.8 wolves/100 km2. Despite lower estimated per-individual kill rates, coyotes and black bears were the leading sources of fawn mortality because they had greater densities relative to bobcats and wolves. Our results indicate that the presence of more predator species in a system is not entirely additive in its effect on fawn survival. © The Wildlife Society, 2019 相似文献
37.
38.
Dan J. Kaminski Tyler M. Harms Jim M. Coffey 《The Journal of wildlife management》2019,83(7):1565-1580
Spotlight surveys for white-tailed deer (Odocoileus virginianus) can yield large presence-only datasets applicable to a variety of resource selection modeling procedures. By understanding how populations distribute according to a given resource for a reference area, density and abundance can be predicted across new areas assuming the relationship between habitat quality (measured by an index of selection) and species distribution are equivalent. Habitat-based density estimators have been applied to wildlife species and are useful for addressing conservation and management concerns. Although achieving reliable population estimates is a primary goal for spotlighting studies, presence-only models have yet to be applied to spotlight data for estimating habitat selection and abundance for deer. From 2012 to 2017, we conducted spring spotlight surveys in each of 99 counties in Iowa, USA, and collected spatial locations for 20,149 groups of deer (n = 71,323 individuals). We used a resource selection function (RSF) based on deer locations to predict the relative probability of use for deer at the population level and to estimate statewide abundance. The number of deer observed statewide increased significantly with increasing RSF value for all years and the mean RSF value along survey transects explained 59% of the variability in county-level deer counts, indicating that a functional response between habitat quality and deer distribution existed at landscape scales. We applied our RSF to a habitat-based density estimator (extrapolation) and zero-inflated Poisson (ZIP) and negative binomial (ZINB) count models to predict statewide abundance from spotlight counts. Population estimates for 2012 were variable, indicating that atypical weather conditions may affect spotlight counts and population estimates in some years. For 2013–2017, we predicted a mean population of 439,129 (95% CI ∼ ± 55,926), 440,360 (∼ ± 43,676), and 465,959 (∼ ± 51,242) deer across years for extrapolation, ZIP, and ZINB models, respectively. Estimates from all models were not significantly different than estimates from an existing deer population accounting model in Iowa for 2013 and 2016, and differed by <76,000 deer for all models from 2013–2017. Extrapolation and ZIP models performed similarly and differed by <2,897 deer across all years, whereas ZINB models showed inconsistencies in model convergence and precision of estimates. Our results indicate that presence-only models are capable of producing reliable and precise estimates of resource selection and abundance for deer at broad landscape scales in Iowa and provide a tool for estimating deer abundance in a spatially explicit manner. © 2019 The Wildlife Society. 相似文献
39.
Rebecca L. Cain Nathan P. Snow Joanne C. Crawford David M. Williams William F. Porter 《The Journal of wildlife management》2019,83(8):1762-1772
For more than a century, the Boone and Crockett Club has kept records of harvest locations for 38 categories of North American big game, which includes measurement details and sizes of enduring characteristics (e.g., antlers, skulls, horns). All white-tailed deer (Odocoileus virginianus) entered in the Club records (i.e., record deer) have large antlers because the measurements must meet or exceed a minimum size to qualify for entry. We used the records from the Club to test the hypothesis that the spatial distribution in the harvest of record deer was related to the number of antlered deer harvested, variations in land productivity, soil mineral content, and attributes of land cover for 9 states in the midwestern United States. We used a Bayesian theoretical framework to develop a spatial model that examined the influence of explanatory variables on the number of record deer harvested in each county. In our study area, 3,658 record deer were harvested in 692 of the 856 counties (80.8%). More record deer were harvested in counties that had more high-contrast edges, less contiguous land cover, and greater variation in soil productivity. These results provide information for managers and hunters to better understand the spatial distribution of record deer and factors that are correlated with their distribution. © 2019 The Wildlife Society. 相似文献
40.