dataService

您的位置: 首页 > 数据服务 > 数据列表页

筛选

共检索到1450条 ,权限内显示50条;

Data from: Modelling species distributions limited by geographic barriers: a case study with African and American primates
负责人:
关键词:
Congo River;Dispersal;distribution edge;environmental favourability;Huallaga River;Pan paniscus;Pan troglodytes;Plecturocebus discolor;Plecturocebus oenanthe;trend surface
DOI:
doi:10.5061/dryad.8pk0p2nj0
摘要:
and the spatial structure; and c) the environment, the spatial structure and the river. These models were constructed using the favourability functions. Result
Data from: Predicting disease risk areas through co-production of spatial models: the example of Kyasanur Forest Disease in India’s forest landscapes
负责人:
关键词:
Kyasanur Forest disease;landscape epidemiology;deforestation;tick-borne disease
DOI:
doi:10.5061/dryad.tb2rbnzx5
摘要:
ted by KFD in south India. The layers are distributed as 1km and 2km?GeoTiffs in Albers equal area conic projection. For KFD, spatial models incorporati
Data from: Bringing multivariate support to multiscale codependence analysis: assessing the drivers of community structure across spatial scales
负责人:
关键词:
Anthropocene;Oribatids;habitat modelling;Fish;spatial scale;spatial model;scale-dependent correlation
DOI:
doi:10.5061/dryad.n4288
摘要:
1. Multiscale codependence analysis (MCA) quantifies the joint spatial distribution of a pair of variables in order to provide a spatially-explicit
Data from: The evolution of marine larval dispersal kernels in spatially structured habitats: analytical models, individual-based simulation
负责人:
关键词:
Ecology: evolutionary;Dispersal;Coral reef
DOI:
doi:10.5061/dryad.s3j9074
摘要:
c and simulation models for the evolution of dispersal kernels in spatially structured habitats. First, we investigate dispersal in a world without edges and find that mo
Data from: From fine-scale foraging to home ranges: a semi-variance approach to identifying movement modes across spatiotemporal scales
负责人:
关键词:
Behavior Dispersal Ecology: statistical Modeling: stochastic spatial Statistics: spatial Theory Grasslands ungulates
DOI:
doi:10.5061/dryad.45157
摘要:
h as long-distance searching and fine-scale foraging, however, are often intermixed but operate on vastly different spatial and temporal scales. An approach
Data from: Spatial genetic structure in American black bears (Ursus americanus): female philopatry is variable and related to population history
负责人:
关键词:
CDPOP;Genetic relatedness;Ursus americanus;sex-biased dispersal;Appalachian Mountains;pattern-process modeling
DOI:
doi:10.5061/dryad.pc053
摘要:
and Southern Appalachian Mountains, United States. We used spatially-explicit, individual-based genetic simulations to model gene flow under scenarios with varying levels
Data from: Demographic inferences after a range expansion can be biased: the test case of the blacktip reef shark (Carcharhinus melanopterus)
负责人:
关键词:
DOI:
doi:10.5061/dryad.553cm8g
摘要:
metapopulation models with spatial modeling and underscores the need for cautious interpretation of population genetic data when advancing conservation priorities.
Data from: Estimating population density and connectivity of American mink using spatial capture-recapture
负责人:
Fuller, Angela K.
关键词:
abundance American mink animal movement connectivity density 36 non-invasive genetic scat detection dog spatial capture-recapture
DOI:
doi:10.5061/dryad.s7ph4
摘要:
c samples of American mink (Neovison vison) individuals, and used spatial capture-recapture models (SCR) to gain inferences about mink population
Data from: The spatial ecology of sex ratios in a dioecious plant: relations between ramet and genet sex ratios
负责人:
关键词:
evolutionary ecology;Thalictrum pubescens;Spatial ecology;dioecy;reproductive ecology;clonal reproduction;sex ratios;sexual dimorphism
DOI:
doi:10.5061/dryad.60q6876
摘要:
l likelihood-based approach and spatial clustering model to estimate the genet sex ratios from flowering ramet data collected from 32 populations of dioecious

首页上一页...2345下一页尾页

意 见 箱

匿名:登录

个人用户登录

找回密码

第三方账号登录

忘记密码

个人用户注册

必须为有效邮箱
6~16位数字与字母组合
6~16位数字与字母组合
请输入正确的手机号码

信息补充