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Data from: Random-close packing limits for monodisperse and polydisperse hard spheres
负责人:
关键词:
DOI:
doi:10.5061/dryad.35td0
摘要:
e distributed in a narrow density range from ? = 0.634-0.636 to ? ? 0.64; closest jamming densities for monodisperse packings generated with low compression rate
Data from: Contrasting influences of geographic range and distribution of populations on patterns of genetic diversity in two sympatric Pilbara
负责人:
关键词:
Acacia ancistrocarpa;Geographically restricted;Acacia atkinsiana;phylogeography;Acacia;Widespread;population genetics
DOI:
doi:10.5061/dryad.5cm32
摘要:
of the distribution. These results are consistent with expectations of the effect of geographic range and population distribution on genetic diversity, but indicate tha
Data from: Balancing food and density-dependence in the spatial distribution of an interference-prone forager
负责人:
Dokter, Adriaan
关键词:
resource selection density-dependence eurasian oystercatcher interference intertidal mudflat ideal free distribution benthic survey
DOI:
doi:10.5061/dryad.s8n05
摘要:
interference and density-independent interactions with the food landscape. Spatial distributions were quantified using high-resolution individual tracki
Data from: Influence of device accuracy and choice of algorithm for species distribution modelling of seabirds: a case study using black-browed
负责人:
关键词:
MaxEnt;Thallasarche melanophris;Marine bird;ensemble modelling
DOI:
doi:10.5061/dryad.377mc
摘要:
Species distribution models (SDM) based on tracking data from different devices are used increasingly to explain and predict seabird distributions
Data from: A treasure from the past: former sperm whale distribution in Indonesian waters unveiled using distribution models and historical whaling
负责人:
关键词:
cetacean;conservation management;Generalized Additive Model;historical whaling data;MaxEnt;Species distribution model;sperm whale
DOI:
doi:10.5061/dryad.18931zct6
摘要:
its potential distribution for each season. Location: Indonesian waters (92-143E, 9N-14S) Taxa: Sperm whale (Physeter macrocephalus) Methods
Data from: Linking genetic and ecological differentiation in an ungulate with a circumpolar distribution
负责人:
关键词:
Ranfiger tarandus;isolation by distance;isolation by environment;Rangifer tarandus;Isolation by resistance;Landscape Genetics;Caribou;ecotype;population size
DOI:
doi:10.5061/dryad.f971b
摘要:
designation across the Holarctic species distribution range. Overall, these results indicate that multiple isolating mechanisms have played roles in shaping
Data from: Climate change and landscape-use patterns influence recent past distribution of giant pandas
负责人:
关键词:
DOI:
doi:10.5061/dryad.7m0cfxpr8
摘要:
(Ailuropoda melanoleuca) distribution using a large-scale 30-year dataset to evaluate whether a changing climate has already influenced panda distribution. We document
Occurrence records and vegetation type data used for species distribution models in the western United States
负责人:
关键词:
Ecology,Geography,Information Sciences
DOI:
doi:10.5066/p99nei4e
摘要:
ern United States. The layers in the data release are initial distribution records of two kinds: point occurrence records and a raster layer for the general vegetation types wher
Data from: Hierarchical influences of prey distribution on patterns of prey capture by a marine predator
负责人:
关键词:
accelerometry;predator-prey dynamics;seabird;acoustic survey;foraging ecology;Eudyptula minor;penguin;prey encounter;marine predator
DOI:
doi:10.5061/dryad.pf150
摘要:
by a central place forager, the little penguin (using GPS tracking and accelerometry), and the distribution of aggregations of potential forage fish prey (using boat
Data from: Geographic variation in dispersal distance facilitates range expansion of a lake shore plant in response to climate change
负责人:
关键词:
genetic diversity;Cakile edentula;dispersal evolution;Near Future;expanding range limit;geographic range;climate change
DOI:
doi:10.5061/dryad.64d2h47
摘要:
in range dynamics during climate change illustrating the importance of including spatial variation in dispersal into species distribution models.

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