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Data from: Seasonal dynamics of spatial distribution and overlap between Northeast Arctic cod (Gadus morhua) and capelin (Mal
- 负责人：
- DOI：
- doi:10.5061/dryad.pv3rc1m
- 摘要：
- and in autumn of 2004-2015. We first model winter and autumn spatial distributions of mature and immature cod and capelin. We then calculate overlap from
Data from: Quantifying and modelling decay in forecast proficiency indicates the limits of transferability in land-cover classification
- 负责人：
- DOI：
- doi:10.5061/dryad.s156b
- 摘要：
- is in most cases spatially and temporally clustered. Therefore, map production requires extrapolation of models from one place to another and the uncertainty
Data from: The gravity of pollination: integrating at-site features into spatial analysis of contemporary pollen movement.
- 负责人：
- DOI：
- doi:10.5061/dryad.774s8
- 摘要：
- that only considered inter-individual spatial distance (e.g., IBD). Models parameterized using conditional genetic covariance (e.g., Population Graphs
Data from: Bringing multivariate support to multiscale codependence analysis: assessing the drivers of community structure across spatial scales
- 负责人：
- 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-expli
Data from: Demographic inferences after a range expansion can be biased: the test case of the blacktip reef shark (Carcharhinus melanopterus)
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- 关键词：
- DOI：
- doi:10.5061/dryad.553cm8g
- 摘要：
- g metapopulation models with spatial modeling and underscores the need for cautious interpretation of population genetic data when advancing conservation priorities.
Data from: Ecological genomics meets community-level modeling of biodiversity: mapping the genomic landscape of current and future
- 负责人：
- DOI：
- doi:10.5061/dryad.2s6f9
- 摘要：
- a new perspective on spatial modelling of organism–environment relationships that combines genomic data and community-level modelling to develop
Data from: Incorporating animal spatial memory in step selection functions
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- 关键词：
- animal movement Biased Brownian Bridge kernel estimation cognitive maps GPS-tracking habitat selection spatial memory
- DOI：
- doi:10.5061/dryad.s5812
- 摘要：
- use. Our approach has shown how the incorporation of spatial memory into animal movement models can improve estimates of habitat selection. Memory-based SSF provided
Data from: Modelling mobile agent-based ecosystem services using kernel weighted predictors
- 负责人：
- DOI：
- doi:10.5061/dryad.3v590
- 摘要：
- e we propose a generic statistical model to derive kernel functions to characterize the spatial distribution of ecosystem services provided by mo
n; Prishchepov, Alexander V; Dong, Changxing; Eisfelder, Christina; Müller, Daniel (2019): Modeling the spatial distribution of grazing intensity in Kazakhstan
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- 关键词：
- DOI：
- doi:10.1594/pangaea.896908
- 摘要：
- We developed a spatial model that combines fine-scale livestock numbers with their associated energy requirements to distribute li
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：
- ) of a stochastic movement process can both identify multiple movement modes and solve the sampling rate problem. We express a broad range of continuous-space
