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Data from: Comparing the impact of future cropland expansion on global biodiversity and carbon storage across models and scenarios
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- 摘要：
- of cropland areas in response to changes in climate and food demand, although there are large uncertainties in results between models and scenarios. This study
Data from: Accounting for disturbance history in models: using remote sensing to constrain carbon and nitrogen pool spin?up
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- spatial and temporal scales. Simulation modeling is a powerful tool for bridging these scales; however, model projections are limited by uncertainties in the initial state
Data from: Social role specialization promotes cooperation between parents
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- often specialize in providing different types of care. However, theoretical models of care often assume that 'care' is a single variable, and hence tha
Data from: Bayesian phylogenetic analysis of combined data
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- of parameter-rich evolutionary models. At the same time, stochastic models have become more realistic (and complex) and have been extended to new types of data
Data from: Modeling the internet of things, self-organizing and other complex adaptive communication networks: a cognitive agent-based computing
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- Agent-based Modeling (EABM), as part of the CABC framework, to develop an autonomous multi-agent architecture for managing carbon footprint in a corporate network
Data from: Range expansion and population dynamics of an invasive species: the Eurasian Collared-Dove (Streptopelia decaocto)
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- o be influenced by dispersal patterns along the invasion front. Model averaged multivariate models explained 35–48% and 41–46% of the variation in car
Data from: Sucrose and starch intake contribute to reduced alveolar bone height in a rodent model of naturally occurring periodontitis
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- Senior, Alistair M.
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- sugar or starch did not influence the extent of alveolar bone height. In summary, the amount of carbohydrate in the diet modulated periodontitis-asso
Data from: Statistical inference of allopolyploid species networks in the presence of incomplete lineage sorting
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- are inferred. Here, two new models for the statistical inference of the evolutionary history of allopolyploids are evaluated using simulation
Data from: Quantifying and reducing uncertainties in estimated soil CO2 fluxes with hierarchical data-model integration
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- linear (steady state) and non-linear (non-steady state, diffusion based) models of C versus t, within in a hierarchical Bayesian framework. Data are from
ameterization for simulation models
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- or krummholz tree lines to climate change. The method presented here can be widely applied in individual-based simulation models and will turn model
