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Data resubmission from Macroecological factors shape local-scale spatial patterns in agriculturalist settlements
负责人:
关键词:
Environmental Science Ecology
DOI:
doi:10.6084/m9.figshare.5556727.v1
摘要:
Macro-scale patterns of human systems ranging from population distribution to linguistic diversity have attracted recent attention, giving rise
Data from: The convergent evolution of snake-like forms by divergent evolutionary pathways in squamate reptiles
负责人:
关键词:
Macroevolution;Morphological Evolution;Squamata
DOI:
doi:10.5061/dryad.5rh14nc
摘要:
integration and shape of relationship among body parts, patterns of vertebral evolution, and models of digit evolution. We found that all clades elongated thei
Data from: Multiscale patterns of rarity in fungi, inferred from fruiting records
负责人:
关键词:
mushrooms;models;conservation;lognormal;species abundance;abundance-occupancy;fruit bodies
DOI:
doi:10.5061/dryad.h36dj4t
摘要:
, locally rare fungi may also be densely distributed at a wider scale. Main conclusions: Fungal fruiting records can be used to infer patterns in fungal
Data from: Spatial genetic structure in American black bears (Ursus americanus): female philopatry is variable and related to population history
负责人:
关键词:
CDPOP;Genetic relatedness;Ursus americanus;sex-biased dispersal;Appalachian Mountains;pattern-process modeling
DOI:
doi:10.5061/dryad.pc053
摘要:
to changing environments. We explored dispersal and spatial genetic relatedness patterns across ten black bear populations—including long established (historic
Data from: Host immunity, nutrition and coinfection alter longitudinal infection patterns of schistosomes in a free ranging African buffalo
负责人:
Beechler, Brianna R.
关键词:
disease ecology
DOI:
doi:10.5061/dryad.p1tf6
摘要:
(i) what are the spatial and temporal patterns of schistosome infections; (ii) how do parasite burdens vary over time within individual hosts; and (iii) wha
Data from: Explaining global variation in the latitudinal diversity gradient: meta-analysis confirms known patterns and uncovers new ones
负责人:
关键词:
diversity;latitudinal diversity gradient;meta-analysis;global;meta-regression;longitude
DOI:
doi:10.5061/dryad.rg5rd
摘要:
evidence of global latitudinal, longitudinal and habitat-based patterns in the LDG, which are apparent across both marine and terrestrial realms and over
Data from: Acoustic accelerometry reveals diel activity patterns in premigratory Port Jackson sharks
负责人:
Kadar, Julianna
关键词:
diel activity root mean square acceleration Port Jackson shark
DOI:
doi:10.5061/dryad.hg4279m
摘要:
movement data from free-ranging sharks using passive acoustic tracking. The RMS acceleration data showed captive sharks exhibited nocturnal diel patterns
Data from: Spatial patterns of pathogenic and mutualistic fungi across the elevational range of a host plant
负责人:
关键词:
plant-fungal interactions;DNA metabarcoding;Pinus cembra;Plant\u2013soil (below-ground) interactions;Swiss stone pine;Host specificity;plant-soil feedback;Janzen-Connell Hypothesis
DOI:
doi:10.5061/dryad.66rm7
摘要:
on plant-associated fungal communities in isolation. However, to better understand patterns of plant-fungal associations, the combined effects of abiotic
Data from: A global database and ‘state of the field’ review of research into ecosystem engineering by land animals.
负责人:
Coggan, Nicole
关键词:
functional extinction ecological function biodiversity redundancy ecological methods reintroductions conservation spatial and temporal replication conceptual framework
DOI:
doi:10.5061/dryad.3jj92rq
摘要:
used to document patterns and processes, asking: 1.Which species act as ecosystem engineers and with whom do they interact? 2. What are the impa
Data from: Multi-scale and antagonist selection on life-history traits in parasitoids: a community ecology perspective
负责人:
关键词:
external\/internal filters;guild;phenotypic evolution;trait-based community study;ecological drivers;insect parasitoids
DOI:
doi:10.5061/dryad.85s4m
摘要:
of life-history trait variation across regions are consistent with local adaptation or adaptive phenotypic plasticity while the patterns of phenotypic variation

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