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Data from: Ocean warming expands habitat of a rich natural resource and benefits a national economy
负责人:
Jansen, Teunis
关键词:
DOI:
doi:10.5061/dryad.1d808
摘要:
vily on fisheries to provide employment and food supply. Here we present a climate change-related biotic expansion of a rich natural resource with substantial
Data from: Dryland soils in northern China sequester carbon during the early-2000s warming hiatus period
负责人:
关键词:
DOI:
doi:10.5061/dryad.v2j62h1
摘要:
, soil C dynamics exhibited contrasting spatial patterns between different layers: the rate of C accumulation in surface soils (0-10 cm) decreased, wherea
Data from: Root traits are related to plant water-use among rangeland Mediterranean species
负责人:
关键词:
plant water uptake;root depth;root functional traits;water balance models;root diameter;Mediterranean species
DOI:
doi:10.5061/dryad.0dp50
摘要:
nce model, we tested whether root functional traits are related to spatial and temporal water-use among 12 Mediterranean rangeland species grown in common garden
Data from: MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling
负责人:
关键词:
MERRAclim;Biogeography;bioclimatic;Macroecology;environmental data
DOI:
doi:10.5061/dryad.s2v81
摘要:
ble to parameterize SDMs consist of spatially interpolated climate surfaces obtained from ground weather station data and have omitted the Antarctic conti
Conterminous United States Land Cover Projections - 1992 to 2100
负责人:
关键词:
Land Use Change
DOI:
doi:10.5066/p95ak9hp
摘要:
4) Spatial coverage for the entire conterminous United States 5) An additional "forest stand age" layer for both the historical period (1992-2005
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:
for spatial prediction of aggregated species?based entities such as VTs on a regional scale and at a fine (100 m) spatial resolution, provided relevant predictor varia
Data from: Large, climate-sensitive soil carbon stocks mapped with pedology-informed machine learning in the North Pacific coastal
负责人:
关键词:
Anthropocene;soil carbon;pedology;Random Forest;Machine Learning;Holocene;temperate rainforest
DOI:
doi:10.5061/dryad.5jf6j1r
摘要:
ate rainforest soils globally. Predictions compared very favorably to regionalized estimates from two spatially-explicit global products (Pearson's correlation: ? = 0.73 vs. 0.34
33 high-resolution scenarios of land use and vegetation change in the Prairie Potholes of the United States
负责人:
关键词:
DOI:
doi:10.5066/p9yqmnhf
摘要:
e characterized by 1) high spatial resolution (30-meter cells), 2) high thematic resolution (29 land use and land cover classes), 3) broad spatial extent (cover
Data from: Impacts of rainfall extremes predicted by climate-change models on major trophic groups in the leaf-litter arthropod community
负责人:
Wise, David
关键词:
climate change arthropod community bottom-up control leaf litter mesocosm experiment rainfall spatial heterogeneity soil food web
DOI:
doi:10.5061/dryad.qd1661s
摘要:
d sprinklers to impose two rainfall treatments during three growing seasons in roofed, fenced 14-m2 plots; and documented changes in abundance from initial, pre

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