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Data from: A national-scale model of linear features improves predictions of farmland biodiversity
- 负责人:
- DOI:
- doi:10.5061/dryad.m5g04
- 摘要:
- a novel spatial dataset mapping linear and woody linear features across the UK improves the performance of abundance models of 18 bird and 24 butterfly
Data from: Matrix models of hierarchical demography: linking group- and population-level dynamics in cooperative breeders
- 负责人:
- DOI:
- doi:10.5061/dryad.r9k214r
- 摘要:
- to explore patterns of local density dependence and implications of group size for group and population growth. Taking into account dispersers, the model
Data from: Improving structured population models with more realistic representations of non-normal growth
- 负责人:
- DOI:
- doi:10.5061/dryad.t6c3573
- 摘要:
- ible growth or shrinkage. 2. Here we develop a flexible approach to modeling skewed growth data using a modified beta regression model. We propose that sizes
Data from: Quantifying and reducing uncertainties in estimated soil CO2 fluxes with hierarchical data-model integration
- 负责人:
- DOI:
- doi:10.5061/dryad.mb605
- 摘要:
- linear (steady state) and non-linear (non-steady state, diffusion based) models of C versus t, within in a hierarchical Bayesian framework. Data are fro
Data from: Predicting predation through prey ontogeny using size-dependent functional response models
- 负责人:
- DOI:
- doi:10.5061/dryad.8642
- 摘要:
- h ontogeny or in heterogeneous populations. Here, we use short-term response surface experiments and statistical modeling to develop and test prey size
Data from: Using partial aggregation in Spatial Capture Recapture
- 负责人:
- 关键词:
- Gulo gulo;wolverines
- DOI:
- doi:10.5061/dryad.pd612qp
- 摘要:
- 1. Spatial capture-recapture (SCR) models are commonly used for analyzing data collected using non-invasive genetic sampling (NGS). Opportunistic NGS
Data from: Developing allometric models to predict the individual aboveground biomass of shrubs worldwide
- 负责人:
- DOI:
- doi:10.5061/dryad.282bm46
- 摘要:
- of uncertainty in biomass estimates. This limitation led us to i) develop global predictive models of shrub individual aboveground biomass based on simple
Data from: Coupled land use and ecological models reveal emergence and feedbacks in socio‐ecological systems
- 负责人:
- Synes, Nicholas W.
- DOI:
- doi:10.5061/dryad.75j0k9c
- 摘要:
- or ecological sub‐systems have greatly enhanced such understanding, but at the risk of obscuring important feedbacks and emergent effects. Integrated modelling
Data from: Process-based simulation of prairie growth
- 负责人:
- Zilverberg, Cody
- DOI:
- doi:10.5061/dryad.h3fj0
- 摘要:
- efore, we enhanced the APEX model’s plant growth module to improve its utility on grazing lands. Improvements addressed allocation of new biomass, response
Data from: EMMLi: a maximum likelihood approach to the analysis of modularity
- 负责人:
- DOI:
- doi:10.5061/dryad.091v0
- 摘要:
- to compare across different model structures. For example, RV coefficient analysis finds support for both two- and six-module models for the therian mammali