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Data from: Distributions of mammals in Southeast Asia: the role of the legacy of climate and species body mass
负责人:
关键词:
phylogenetic regression;Last Glacial Maximum;PanTHERIA;Isthmus of Kra;least-cost path;Species distribution model;present;mid-Holocene;habitat suitability
DOI:
doi:10.5061/dryad.qp44619
摘要:
c factors (habitat availability) in combination with past connectivity and a biotic factor (body mass) can explain the unique distribution pattern of Southeast Asian mammals, which
Data from: Seed-dispersal networks respond differently to resource effects in open and forest habitats
负责人:
关键词:
elevational gradient;land-use gradient;interaction networks
DOI:
doi:10.5061/dryad.dn7hv
摘要:
' interaction networks change in response to abiotic and biotic factors across such gradients. Here we studied seed-dispersal networks on 50 study plots distributed ove
Data from: Dispersal barriers and climate determine the geographic distribution of the helicopter damselfly Mecistogaster modesta
负责人:
关键词:
Bromeliagrion rehni;dispersal barrier;bromeliad;odonata;Species distribution model;insects;Mecistogaster modesta;Bromeliagrion fernandezianum;Pseudostigmatidae;Bromeliagrion bebeanum
DOI:
doi:10.5061/dryad.8tp8n
摘要:
ongly limit the geographic distribution of M. modesta. In addition, its range is restricted by low temperatures and low precipitation. Competition from
Data from: Use and categorization of Light Detection and Ranging vegetation metrics in avian diversity and species distribution research
负责人:
Kissling, W. Daniel
关键词:
species distribution airborne laser scanning animal diversity habitat use LiDAR literature review species distribution modelling structural heterogeneity vertical vegetation structure Light Detection and Ranging
DOI:
doi:10.5061/dryad.tm28hb6
摘要:
Aim: Vegetation structure is a key determinant of animal diversity and species distributions. The introduction of Light Detection and Ranging (Li
Elliptical Time-Density Model (Wall et al. 2014) African Elephant Dataset (Source-Save the Elephants)-reference-data
负责人:
University Of Konstanz
关键词:
African elephant animal movement GIS GPS tracking home-range Loxodonta africana utilization distribution
DOI:
doi:10.5441/001/1.f321pf80/2
摘要:
Wall J, Wittemyer G, LeMay V, Douglas-Hamilton I, Klinkenberg B (2014) Elliptical Time-Density model to estimate wildlife utilization distributions
Elliptical Time-Density Model (Wall et al. 2014) African Elephant Dataset (Source-Save the Elephants)
负责人:
University Of Konstanz
关键词:
African elephant animal movement GIS GPS tracking home-range Loxodonta africana utilization distribution
DOI:
doi:10.5441/001/1.f321pf80/1
摘要:
Wall J, Wittemyer G, LeMay V, Douglas-Hamilton I, Klinkenberg B (2014) Elliptical Time-Density model to estimate wildlife utilization distributions
Data from: Bayesian estimation of the global biogeographical history of the Solanaceae
负责人:
关键词:
BioGeoBEARS;Eocene to Holocene;historical biogeography;Biogeographical Stochastic Mapping (BSM);directionality;Dispersal;Solanaceae
DOI:
doi:10.5061/dryad.6gd57
摘要:
Its worldwide distribution suggests multiple long-distance dispersals within and between the New and Old Worlds. Here, we apply maximum likelihood (ML) methods
Data from: Modelling distributions of fossil sampling rates over time, space and taxa: assessment and implications for macroevolutionary studies
负责人:
关键词:
Mesozoic;fossil record;Mammalia;Sampling Rates;Cenozoic;Carnivoramorpha
DOI:
doi:10.5061/dryad.3b87j
摘要:
. We then re-assess per-million-year sampling rates given the distributions of per-collection sampling rates 2. We use simple distribution models (geometric
Data from: Delimiting species in recent radiations with low levels of morphological divergence: a case study in Australian Gehyra geckos
负责人:
关键词:
DOI:
doi:10.5061/dryad.2hv53
摘要:
e historically proven difficult to delimit due the group’s uniform, almost continent-wide geographic distribution and conservative morphology, contrasting high
Data from: Assessing the joint behavior of species traits as filtered by environment
负责人:
关键词:
Restio;Pelargonium;Erica;Protea;community assembly
DOI:
doi:10.5061/dryad.2vk03
摘要:
t incorporate intra-taxon variability as well as inter-site/plot variability. Using a Bayesian framework, our joint trait distribution models allow for mixed

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