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Data from: Landscape context is more important than wetland buffers for farmland amphibians.
负责人:
Sawatzky, Margaret;;Fahrig, Lenore
关键词:
Landscape Ecology Amphibians Wetlands Agricultural Habitat
DOI:
doi:10.17632/4v633yznrf
摘要:
of terrestrial habitat at the landscape scale rather than on maintenance of wetland buffers. **Version 2 is identical to Version 1, with the exception that we hav
Data from: Divergent landscape effects on population connectivity in two co-occurring amphibian species
负责人:
关键词:
conservation genetics;Lithobates sylvaticus;microsatellite;Landscape;gene flow;Ambystoma maculatum;Rana sylvatica;Amphibians;Population Genetics - Empirical
DOI:
doi:10.5061/dryad.51b94
摘要:
idering more than one species when assessing the impacts of the landscape matrix on population connectivity, even for ecologically similar spe
Landscape connectivity among remnant populations of guanaco (Lama guanicoe, Müller, 1776) in an arid region of Chile impacted by global change.
负责人:
关键词:
60299 Ecology not elsewhere classified
DOI:
doi:10.6084/m9.figshare.5378233
摘要:
landscape resistance used to build the connectivity model by using Circuitscape program.
3. Circuitscape matrix folder: contains the resistance matrix
Data from: Landscape structure mediates zoochorous-dispersed seed rain under isolated pasture trees across distinct tropical regions
负责人:
关键词:
tree regeneration;zoochory;isolated pasture trees;tropical landscapes;2014-2016;Seed dispersal;matrix;Forest fragments
DOI:
doi:10.5061/dryad.p1255b3
摘要:
patterns under isolated tree canopies. Objectives: To assess the role of landscape and biological factors impacting zoochorous-dispersed seed rain under
Data from: High cover of hedgerows in the landscape supports multiple ecosystem services in Mediterranean cereal fields
负责人:
关键词:
Aphid Biological control Ecosystem services Field-margin diversification Hedgerows Landscape complexity Natural enemies Off-field interventions Pollination Weed control
DOI:
doi:10.5061/dryad.sp70m
摘要:
of hedgerows in the landscape on the provision of pest control, weed control and potential pollination. Locally, three types of field margin were compared
Data from: Adaptation with gene flow across the landscape in a dune sunflower
负责人:
关键词:
Helianthus petiolaris;Landscape Genetics;Ecological Genetics;speciation;Adaptation;Population Genetics - Empirical
DOI:
doi:10.5061/dryad.158pb518
摘要:
, using landscape genetics approaches, such as circuit theory and multiple regression of distance matrices, in addition to coalescent modelling
Data from: Urban landscapes can change virus gene flow and evolution in a fragmentation-sensitive carnivore
负责人:
关键词:
Lynx rufus;host relatedness;feline immunodeficiency virus;Machine Learning
DOI:
doi:10.5061/dryad.qc395
摘要:
e is almost no information about how urban landscapes shape transmission dynamics in wildlife. Using an innovative phylodynamic approach combining host
Data from: Landscape genetics identifies streams and drainage infrastructure as dispersal corridors for an endangered wetland bird
负责人:
van Rees, C
关键词:
connectivity landscape resistance metapopulation Moorhen Waterbird
DOI:
doi:10.5061/dryad.p90b87p
摘要:
the landscape matrix, and ranked these surfaces by their ability to explain observed patterns in genetic distance among 12 populations on the island of O`ahu. We modeled
Data from: Habitat fragmentation and the prevalence of parasites (Diptera, Streblidae) on three Phyllostomid bat species
负责人:
关键词:
Landscape matrix;landscape metrics;roosting sites.;Desmodus rotundus;roosting sites;Mexico;Artibeus jamaicensis;Sturnira parvidens;batflies
DOI:
doi:10.5061/dryad.tv854
摘要:
of infestation by Streblidae flies in three phyllostomid bat species with different roost preferences (caves, trees, or both) in two types of landscape matrices
Data from: Landscape resistance and habitat combine to provide an optimal model of genetic structure and connectivity at the range ma
负责人:
关键词:
Habitat Degradation;Landscape Genetics;Mammals;Peromyscus leucopus;Population Genetics - Empirical
DOI:
doi:10.5061/dryad.5sk8g
摘要:
to infer the effect of the landscape matrix on gene flow. We calculated site differences using a site index of habitat characteristics. A model that combined

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