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Data from: A national-scale model of linear features improves predictions of farmland biodiversity
负责人:
关键词:
Agriculture;GIS;butterfly;bird;abundance modelling;Hedgerow;Species distribution model
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:
关键词:
Population: dynamics;Suricata suricatta;Demography;Ecology: population;Ecology: theoretical;Modeling: matrix;Social structure;Density Dependence;Modeling: population ecology;Holocene
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:
关键词:
Bistorta vivipara;Vulpicida pinastri;skewed normal;Polygonum viviparum;matrix model;Asymmetry;Beta regression;integral projection model;quantile regression;population model;Growth;skew;Paramuricea clavata
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:
关键词:
diffusion model;soil carbon;soil respiration;2007-2011;global change experiments;soil CO2 flux
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: 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:
关键词:
plant allometry;carbon inventories;dimensional relationships;Scaling relationships;allometric model construction;biomass equation;multistemmed individuals;crown diameter
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.
关键词:
population dynamics agricultural intensification integrated model
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
关键词:
biomass APEX root:shoot ratio simulation water stress interspecific competition
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:
关键词:
Mammals;Morphological Evolution;phenotypic integration;model selection;Macaca fuscata;trait correlations
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

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