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Data from: Use of opportunistic sightings and expert knowledge to predict and compare Whooping Crane stopover habitat
负责人:
关键词:
detection expert elicitation Platte River Recovery Implementation Program sampling bias whooping crane
DOI:
doi:10.5061/dryad.t6859
摘要:
d to evaluate any region within the state of Nebraska. Furthermore, our expert-informed modeling approach could be applied to opportunistic presence-only data
Data from: Distribution models and a dated phylogeny for Chilean Oxalis species reveal occupation of new habitats by different lineages, not rapid
负责人:
关键词:
Oligocene\/Miocene;divergence time estimation;Oxalis;Oxalidaceae;species distribution modeling;Mediterranean climate;target group background sampling
DOI:
doi:10.5061/dryad.qp0s0
摘要:
a fossil-calibrated phylogeny that includes 43 of the 54 species of Oxalis occurring in Chile. Distribution models (SDMs) for these species that included
Data from: Cityscape genetics: structural vs. functional connectivity of an urban lizard population
负责人:
Beninde, Joscha
关键词:
biodiverstiy conservation corridor ecology isolation Reptiles
DOI:
doi:10.5061/dryad.31qg7
摘要:
e combined species distribution models (SDMs) with an individual-based landscape genetic optimization procedure. The most important environmenta
Data from: Species delimitation with ABC and other coalescent-based methods: a test of accuracy with simulations and an empirical examp
负责人:
关键词:
Liolaemus laurenti;divergence;Simulation;gene flow;Liolaemus grosseorum;Liolaemus darwinii;gene trees;Holocene;speciation;Pleistocene
DOI:
doi:10.5061/dryad.4409k652
摘要:
of speciation. New species delimitation methods (SDMs) can accommodate non-monophyletic species and gene tree discordance as a result
FAIRsharing record for: TERN AEKOS;;AEKOS
负责人:
关键词:
Biodiversity Ecology Ecosystem Science Environmental Science Centrally registered identifier Data sharing Interoperability Method descriptions Observations SDM modelling data
DOI:
doi:10.25504/fairsharing.2y6rkq
摘要:
st ecological knowledge modelling of data that?s mapped to the AEKOS ontological, ?methods description? and trait information models. Unlike self-service data submission
Data from: Fine-grain, large-domain climate models based on climate station and comprehensive topographic information improve microrefugia detection
负责人:
关键词:
Species distribution model;climate station;Microrefugia
DOI:
doi:10.5061/dryad.78r91
摘要:
in the coarser SDMs and in the models calibrated from climate variables extracted from elevation only. Although major limitations remain, climate station data
Data from: Quantifying apart what belongs together: a multi-state species distribution modeling framework for species using distinct habitats
负责人:
关键词:
terrestrial habitat use;2001-2003;Phocarctos hookeri
DOI:
doi:10.5061/dryad.14mt7
摘要:
1. Species distribution models (SDMs) have been used to inform scientists and conservationists about the status and change of occurrence patterns
Data from: The seasonal climate niche predicts phenology and distribution of an ephemeral annual plant, Mollugo verticillata
负责人:
关键词:
climate change;germination phenology;herbarium;seasonal climate niche;MaxEnt;ecological niche model;flowering phenology;Mollugo verticillata;historical records;niche breadth;1896-2069
DOI:
doi:10.5061/dryad.0s9j3
摘要:
ould be observed. 3.We compared the predictions of the model to those from a conventional SDM based on mean annual climate data. Both models sh
Data from: Tackling intraspecific genetic structure in distribution models better reflects species geographical range
负责人:
关键词:
potential distribution range;Arabidopsis thaliana;distribution models;Genetic structure;global climate change;Holocene
DOI:
doi:10.5061/dryad.vv804
摘要:
, and the vernalization requirement for flowering. We used SDM (species distribution models), including climate, vegetation, and soil data, at the whole-species and genetic
Data from: Biotic interactions in species distribution models enhance model performance and shed light on natural history of rare birds: a case study
负责人:
关键词:
Anthropocene;Eryngium pandanifolium;MaxEnt;Eryngium horridum;niche overlap;Eryngium eburneum;Eryngium;Limnoctites rectirostris
DOI:
doi:10.5061/dryad.01gr671
摘要:
Species distribution models (SDMs) have become a workhorse to explain, understand and predict distributions of birds. However, SDMs at broad scales

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