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Data from: Endozoochorous dispersal of forest seeds by carnivorous mammals in Sierra Fría, Aguascalientes, Mexico.
负责人:
关键词:
DOI:
doi:10.5061/dryad.f7m0cfxrw
摘要:
s found. During the study, it was possible to find scats of four species of mammals: grey fox, coyote, ringtail (Bassariscus astutus) and bobcat
Data from: Human activity reduces niche partitioning among three widespread mesocarnivores
负责人:
关键词:
nonconsumptive effects;Illumina MiSeq;niche overlap;Urocyon cinereoargenteus;Canis latrans;Mesocarnivore;12S;Lynx rufus;Anthropogenic disturbance;scat;diet;eDNA;DNA sequencing
DOI:
doi:10.5061/dryad.57h24
摘要:
of coyotes, bobcat, and gray foxes, we designed a citizen science program to collect carnivore scat samples in low- (“wildland”) and high- (“interface”) human
Data from: Disease and freeways drive genetic change in urban bobcat populations
负责人:
关键词:
Conservation Genetics Ecological Genetics Population Genetics - Empirical Wildlife Management
DOI:
doi:10.5061/dryad.7j8q0
摘要:
t urbanization and a disease epizootic had on the population genetics of bobcats (Lynx rufus) distributed across a highly fragmented urban landscape. We genotyped
Data from: Mesopredators change temporal activity in response to a recolonizing apex predator
负责人:
关键词:
Carnivores;Coyotes;Lynx rufus;remote cameras;Homo Sapiens;behaviorally-mediated effects;non-consumptive effects;Canis latrans;Holocene;Canis lupus;wolves
DOI:
doi:10.5061/dryad.60m1ps0
摘要:
of change in bobcat activity in areas with wolves was opposite to coyotes, suggesting a behaviorally-mediated cascade between wolves, coyotes, and bobcat
Data from: A multispecies occupancy model for two or more interacting species
负责人:
关键词:
eMammal;multinomial logit;multivariate Bernoulli;Urocyon cinereoargenteus;predation;competition;community;Canis latrans;multinomial probit;Lynx rufus;occupancy modeling;interspecfic interactions;Holocene;Vulpes vulpes
DOI:
doi:10.5061/dryad.pq624
摘要:
h a multinomial logit and a multinomial probit model and present details of a Gibbs sampler for the latter. As an example, we model co-occurrence probabilities of bobcat

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