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共检索到116条 ,权限内显示50条;
Data from: Waiting time to infectious disease emergence
- 负责人：
- DOI：
- doi:10.5061/dryad.dp4kb
- 摘要：
- our understanding of real emergence events, and can be incorporated into early-warning systems aimed at forecasting disease risk.
Data from: Models for assessing local-scale co-abundance of animal species while accounting for differential detectability and varied responses
- 负责人：
- DOI：
- doi:10.5061/dryad.fn208
- 摘要：
- patterns of abundance across the landscape for a range of taxa, and also provide a powerful tool for forecasting the impacts of global change..
Data from: A comparison of diversity estimators applied to a database of host-parasite associations
- 负责人：
- 关键词：
- biodiversity;comparative analysis;databases;parasite species richness;sampling bias;simulations
- DOI：
- doi:10.5061/dryad.7pvmcvdqc
- 摘要：
- Understanding the drivers of biodiversity is important for forecasting changes in the distribution of life on earth. However, most studies
Data from: Consensus forecasting of intertidal seagrass habitat in the Wadden Sea
- 负责人：
- DOI：
- doi:10.5061/dryad.q9c54
- 摘要：
- -out observations in the training area indicating that the models converged and were transferable across space. Prediction accuracy was improved by averaging
Data from: State-and-transition simulation models: a framework for forecasting landscape change
- 负责人：
- DOI：
- doi:10.5061/dryad.g58k0
- 摘要：
- A wide range of spatially explicit simulation models have been developed to forecast landscape dynamics, including models for projecting change
Data from: Priority effects within coinfected hosts can drive unexpected population-scale patterns of parasite prevalence
- 负责人：
- Clay, Patrick
- DOI：
- doi:10.5061/dryad.003k4g0
- 摘要：
- ally counterintuitive) ways, and that taking them into account may improve disease forecasting in coinfected populations.
Soil texture forcing data for the whole world for the Weather Research and Forecasting (WRF) Model of the University of Hohenheim (UHOH) based
- 负责人：
- Reference And Information Centre (ISRIC);;Institute Of Soil Science-Chinese Academy Of Sciences (ISSCAS);;Joint Research Centre Of The Eu
- DOI：
- doi:10.1594/wdcc/wrf_noah_hwsd_world_top_soiltyp
- 摘要：
- e Soil Geographic (STATSGO) classification table of the Weather Research and Forecasting (WRF) Model for NOAH and NOAH-MP Land Surface Models (LSMs
Data from: The social cost of lobbying over climate policy
- 负责人：
- DOI：
- doi:10.5061/dryad.gg4pk7d
- 摘要：
- its likelihood of being implemented. We combine data from comprehensive U.S. lobbying records together with an empirical method for forecasting the policy’s effec
Data from: Modelling the potential impacts of climate change on the distribution of ichthyoplankton in the Yangtze Estuary, China
- 负责人：
- DOI：
- doi:10.5061/dryad.qv9s4mw9f
- 摘要：
- g the known distributions of the five species. Model projections highlighted two contrasting patterns of response to future climates: while C. mystus will li
Data from: Inferring responses to climate dynamics from historical demography in neotropical forest lizards
- 负责人：
- DOI：
- doi:10.5061/dryad.2v1p6
- 摘要：
- carbon emission trajectory. The models forecast very distinct trajectories for the lizard species, reflecting unique estimated population densities and dispersal
