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Data from: Reliable species distributions are obtainable with sparse, patchy and biased data by leveraging over species and data types
- 负责人：
- DOI：
- doi:10.5061/dryad.2226v8m
- 摘要：
- 1. New methods for species distribution models (SDMs) utilise presence?absence (PA) data to correct the sampling bias of presence?only (PO) data
Data from: Comparing the prediction of joint species distribution models with respect to characteristics of sampling data
- 负责人：
- DOI：
- doi:10.5061/dryad.rd55f
- 摘要：
- er of species included in models. In general, most models yielded satisfactory performances on fitting to observed data and on the estimation
Data from: Influence of device accuracy and choice of algorithm for species distribution modelling of seabirds: a case study using black-browed
- 负责人：
- DOI：
- doi:10.5061/dryad.377mc
- 摘要：
- Species distribution models (SDM) based on tracking data from different devices are used increasingly to explain and predict seabird distributions
Data from: Accuracy of climate-based forecasts of pathogen spread
- 负责人：
- DOI：
- doi:10.5061/dryad.3p121
- 摘要：
- n others for modelling the spread of emerging, non-equilibrium pathogens, we studied time-sensitive predictive performance of SDM
Data from: Improving spatial predictions of taxonomic, functional and phylogenetic diversity
- 负责人：
- DOI：
- doi:10.5061/dryad.cn921
- 摘要：
- species distribution modelling (SSDM) approach, which applies a simple environmental filter to predict species assemblages. The second method couples the SSDM and macroecological modelling
Data from: Associations between habitat quality, body size, and reproductive fitness in the alpine endemic spider Vesubia jugorum
- 负责人：
- DOI：
- doi:10.5061/dryad.26hb35q
- 摘要：
- the relation between functional traits and habitat quality with linear mixed models. Results. All SDM algorithms we tested fit the data well, with sim
Data from: Input matters matter: bioclimatic consistency to map more reliable species distribution models
- 负责人：
- DOI：
- doi:10.5061/dryad.6kv7k29
- 摘要：
- and uncertainties related to species distribution models (SDMs) but the effect of choosing a specific database among the different alternatives has not been pr
Data from: Correction of location errors for presence-only species distribution models
- 负责人：
- DOI：
- doi:10.5061/dryad.h81s5
- 摘要：
- 1. Species distribution models (SDMs) for presence-only data depend on accurate and precise measurements of geographic and environmental covariates
Data from: Understanding co-occurrence by modelling species simultaneously with a Joint Species Distribution Model (JSDM)
- 负责人：
- DOI：
- doi:10.5061/dryad.118ph65
- 摘要：
- – habitat modelling and community ecology – approach this problem differently. Habitat modellers often use species distribution models (SDMs) to quantify
Data from: Integrated species distribution models: combining presence-background data and site-occupany data with imperfect detection
- 负责人：
- 关键词：
- DOI：
- doi:10.5061/dryad.8467g
- 摘要：
- Two main sources of data for species distribution models (SDMs) are site-occupancy (SO) data from planned surveys, and presence-background (PB) data
