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Data from: Meta?analyzing the likely cross?species responses to climate change
负责人:
关键词:
Global warming;uncertainty;species distribution;Ecological Niche Modeling;Aves;range size;meta-analysis
DOI:
doi:10.5061/dryad.qv5p3r8
摘要:
modeling techniques and climate models) and 81.7% to 99.8% remained between species (i.e. it could be explained by ecological correlates). Using meta
Data from: PaleoENM: applying ecological niche modeling to the fossil record
负责人:
关键词:
Ecological Niche Modeling;paleoenvironment;paleobiogeography;Paleoecology;Macroevolution
DOI:
doi:10.5061/dryad.t4jd0
摘要:
Ecological niche modeling (ENM) is a quantitative approach to predict species’ abiotic requirements. It is a correlative technique, requiring
Data from: Very high resolution digital elevation models: are multi-scale derived variables ecologically relevant?
负责人:
关键词:
Digital Elevation Models;multi-scale analysis;Very High Spatial Resolution;local scale;generalized linear models;Temperature and Humidity Loggers;Landolt\u2019s Ecological Indicators
DOI:
doi:10.5061/dryad.43md3
摘要:
e assessed with multivariate Generalized Linear Models (GLM) and Mixed Models (GLMM). Specific VHR DEM-derived variables showed significant associations
Data from: Symposium article: Which line to follow? the utility of different line-fitting methods to capture the mechanism of morphological scaling
负责人:
Shingleton, Alexander W
关键词:
Morphology Allometry Linear Regression Scaling Statistics
DOI:
doi:10.5061/dryad.54h0t79
摘要:
is the one that most accurately captures the proximate developmental mechanisms that generate scaling relationships. Using mathematical modeling, I show tha
Data from: Testing eco-evolutionary predictions using fossil data: Phyletic evolution following ecological opportunity
负责人:
关键词:
Macroevolution;fossil time series;ecological opportunity;phyletic evolution;Stephanodiscus niagarae\/yellowstonensis
DOI:
doi:10.5061/dryad.80725jn
摘要:
following ecological opportunity – were fitted to the fossil times-series of S. niagarae/yellowstonensis. Different models best describe the three analyzed traits. Two of the models
Data from: A stochastic model for annual reproductive success
负责人:
关键词:
Ecology: population;Modeling: population ecology;Demography;mammal;bird;reptile;Modeling: population ecology;modeling: applied population;Theory
DOI:
doi:10.5061/dryad.1087
摘要:
biological processes and can easily be linked to models of environmental stochasticity or selection because of its parametric structure. In addition, it reveals tha
Data from: Human judgment vs. quantitative models for the management of ecological resources
负责人:
关键词:
optimal harvest;conservation;bioeconomics;expert judgment;Adaptive Management;Fisheries Management;sustainability;ecological modeling;Natural Resource Management
DOI:
doi:10.5061/dryad.pt517
摘要:
practice of managing ecological populations. Given a managed system and a set of assumptions, translated into a model, optimization methods can be use
Data from: Distribution modelling of vegetation types based on area?frame survey data
负责人:
关键词:
GIS;logistic regression;Norway;Vegetation mapping;Independent evaluation;land-cover;Ecological Response Model;Environmental layers;Presence-absence data
DOI:
doi:10.5061/dryad.nk3b5k8
摘要:
081 rectangular plots of 0.9 km2. Distribution models for each VT were obtained by logistic generalised linear modelling, using stepwise forward selec

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