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Data from: Spatial genetic structure in continuous and fragmented populations of Pinus pinaster Aiton
负责人:
关键词:
genetic diversity;Iberian Peninsula;Pinus pinaster Aiton;Pinus;forest fragmentation;SGS
DOI:
doi:10.5061/dryad.1280
摘要:
for potential overestimation of SGS in real populations due to short-distance sampling). This suggests that factors such as non-random mating or selection
Data from: Accuracy of climate-based forecasts of pathogen spread
负责人:
关键词:
Hindcasting;Species distribution model;Machine Learning;Batrachochytrium dendrobatidis
DOI:
doi:10.5061/dryad.3p121
摘要:
, false negative rate and the Boyce index. Of eight models examined, we found that boosted regression trees and random forests performed best, closely followed by MaxEnt
Data from: Leaf drought tolerance cannot be inferred from classic leaf traits in a tropical rainforest
负责人:
关键词:
ecophysiology;Functional Trait;Isotope ratio;leaf mass per area;liana;nutrient concentration;tree;turgor loss point;understory;Leaf Economics
DOI:
doi:10.5061/dryad.qnk98sfbq
摘要:
  1. Plants are enormously diverse in their traits and ecological adaptation, even within given ecosystems, such as tropical rainforests
Great Plains’ climate gradient: Implications for climate change and restoration
负责人:
关键词:
ecotypic variation;local adaptation;phenotypic variation;drought;reciprocal gardens;Great Plains grasslands;genetic differentiation;co-gradient variation
DOI:
doi:10.5061/dryad.tqjq2bvw5
摘要:
Great Plains. Ecotype differentiation was supported by random forest classification and PCA. We detected genetic differentiation and outlier genes associated pri
Data from: Evaluation of sampling frequency, window size and sensor position for classification of sheep behaviour
负责人:
Vazquez Diosdado, Jorge A
关键词:
Behaviour classification sheep
DOI:
doi:10.5061/dryad.h5c80
摘要:
ng a random forest approach with forty-four feature characteristics. The best performance for walking, standing and lying classification in sheep (accuracy 95
Data from: Optimizing enrichment of deadwood for biodiversity by varying sun exposure and tree species: an experimental approach
负责人:
关键词:
deadwood enrichment;forest conservation;Forest management;saproxylic beetles;spiders;wood-inhabiting fungi;experiment
DOI:
doi:10.5061/dryad.rn8pk0p6n
摘要:
of saproxylic biodiversity in managed forests. However, existing strategies focus on a cost-intensive increase of deadwood amount, while largely neglecting
Data from: Population structure over a broad spatial scale driven by non-anthropogenic factors in a wide-ranging migratory mammal, Alaskan caribou
负责人:
关键词:
microsatellites;Rangifer tarandus;population structure;Random Forests;Landscape Genetics
DOI:
doi:10.5061/dryad.3hp5v
摘要:
ded to understand processes that maintain diversity in these species. We analysed DNA from 655 Alaskan caribou (Rangifer tarandus granti) from 20 herds that vary
Data from: Contemporary pollen flow as a multiscale process: evidence from the insect-pollinated herb, Pulsatilla vulgaris
负责人:
关键词:
isolation by distance;functional connectivity;landscape structure;long distance dispersal;Landscape Genetics;Dispersal;landscape ecology;spatial scale;Pulsatilla vulgaris;Pollen-mediated gene flow
DOI:
doi:10.5061/dryad.3d9r8p1
摘要:
within populations was more likely to occur amongst near neighbours, but that among-population pollen flow was random with respect to source populations. We further
Data from: Factors determining forest diversity and biomass on a tropical volcano, Mt. Rinjani, Lombok, Indonesia
负责人:
关键词:
tropical;plant diversity;altitude gradient;biomass;phylogenetic community structure;volcano
DOI:
doi:10.5061/dryad.8n6t5
摘要:
alpha-diversity. At lower elevations communities had a random phylogenetic structure, but from 1600 m communities were phylogenetically clustered
Data from: Ensemble approach for potential habitat mapping of invasive Prosopis in Turkana, Kenya
负责人:
关键词:
2017;SDM;invasive species;Prosopis Juliflora
DOI:
doi:10.5061/dryad.sk4410m
摘要:
of four species distribution models: (a) logistic regression, (b) maximum entropy, (c) random forest, and (d) Bayesian networks. The models were evaluated through a block cross

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