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Data from: Multi-temporal analysis reveals that predictors of mountain pine beetle infestation change during outbreak cycles
负责人:
关键词:
Satellite imagery;mountain pine beetle;Insect outbreak;Dendroctonus ponderosae;Remote sensing
DOI:
doi:10.5061/dryad.t788c
摘要:
lt National Forest, Colorado, between 2003 and 2010. The Normalized Difference Vegetation Index (NDVI) and change in the Normalized Difference Moisture Index (NDMI
Data from: Discrepancies in vegetation phenology trends and shift patterns in different climatic zones in middle and eastern Eurasia between 1982
负责人:
关键词:
DOI:
doi:10.5061/dryad.1498h4m
摘要:
ng the Normalized Difference Vegetation Index (NDVI) dataset from 1982 to 2015, we extracted start date of vegetation growing season (SOS), end date of vegetation growing season (EOS) and length
ns of vegetation cover
负责人:
关键词:
Quaternary;Reproductive strategies and kinship analysis;Population structure and phylogeography;Echinopsis terscheckii
DOI:
doi:10.5061/dryad.gd635
摘要:
and the normalized difference vegetation index (NDVI). We mapped 30 individuals per population and collected tissue for isozyme electrophoresis using 15 putative loci. Spatial autocorrelation between al
Data from: NDVI is not reliable as a surrogate of forage abundance for a large herbivore in tropical forest habitat
负责人:
关键词:
DOI:
doi:10.5061/dryad.7r61gp6
摘要:
of forage availability come largely from open-canopy habitats. We assessed whether normalized difference vegetation index (NDVI) represents forage availabili
Data from: In search of greener pastures: using satellite images to predict the effects of environmental change on zebra migration
负责人:
University Of Konstanz
关键词:
climate change environmental uncertainty global positioning system individual-based modeling migration movement modeling normalized difference vegetation index remote sensing tropical rainfall measuring mission zebra
DOI:
doi:10.5441/001/1.f3550b4f
摘要:
set and Moderate Resolution Imaging Spectroradiometer-derived normalized difference vegetation index (NDVI). An array of increasingly complex movement models representing alternative hypotheses regardi
Data from: High-productivity vegetation is important for lessening bird declines during prolonged drought
负责人:
关键词:
vegetation greenness;drought;habitat characteristics;vegetation productivity;refuge;species resistance;Birds;NDVI;refugia;climate change
DOI:
doi:10.5061/dryad.13p0s
摘要:
(Normalized Difference Vegetation Index), was the only potential predictor with strong evidence of an effect, and was positively associated with the index of drought resistance. Ther
Data from: Changes in assembly rules along a stress gradient from open dry grasslands to wetlands
负责人:
关键词:
Determinants of plant community diversity and structure;plant functional trait;habitat filtering;environmental gradient;Environmental filtering;productivity gradient;effect size;community assembly
DOI:
doi:10.5061/dryad.5r62f
摘要:
marshes, using a trait based approach. The main environmental gradient (i.e. productivity) was characterised by the Normalized Difference Vegetation
Data from:Identification of landscape features influencing gene flow: how useful are habitat selection models?
负责人:
关键词:
Population connectivity;Multiple Regression on Distance Matrices;resource selection function;Ovis dalli dalli;Dispersal;Landscape Genetics;resistance surfaces
DOI:
doi:10.5061/dryad.bq5rj
摘要:
atures hypothesized to influence dispersal. Dall’s sheep gene flow was positively correlated with steep slopes, moderate peak normalized difference vegetation indice
Using VHSR multispectral imagery and object-based extraction to discover vernal meadows through vegetative persistence at Fort Ord, California
负责人:
关键词:
Geographic Information Science and Technology multispectral Ikonos WorldView 2 object\u2010based image analysis vernal pool Ft. Ord chaparral classification Persistence Index
DOI:
doi:10.25549/usctheses-c3-576672
摘要:
e created for this study. These indices normalize changes in geometric properties, enabling comparisons between known vernal areas and study sites, and bet

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