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Data from: Spatial structure and interspecific cooperation: theory and an empirical test using the mycorrhizal mutualism
负责人:
关键词:
Ecology: evolutionary;Evolution: experimental;Ecology: theoretical;Ecology: soil
DOI:
doi:10.5061/dryad.56cn8015
摘要:
t spatial structure can actually disfavour cooperation by limiting the suite of potential partners. The effect of spatial structuring depends on the scale (fine
Data from: Evidence of a spatial auto-correlation in the browsing level of four major European tree species
负责人:
关键词:
spatial pattern;plant-herbivore interactions
DOI:
doi:10.5061/dryad.4xgxd256m
摘要:
). The contribution of spatial processes to the spatial patterns of ecological systems is widely recognised, but spatial patterns in the ecology
Data from: A spatially explicit hierarchical model to characterize population viability
负责人:
Campbell, Steven
关键词:
capture-recapture CAR model demography multi-state model population viability analysis recruitment Sonoran desert tortoise spatial autoregressive model survival spatial variation
DOI:
doi:10.5061/dryad.v0q5035
摘要:
and viability that can inform conservation and management at multiple spatial scales, provide insight into scale-related investigations in population ecology
Data from: Social context alters spatial memory performance in free-living male prairie voles
负责人:
关键词:
Cognitive ecology;operational sex ratio;Intraspecific competition;Social context;spatial memory
DOI:
doi:10.5061/dryad.0vt4b8gtp
摘要:
Spatial memory is crucial for mating success because it enables males to locate potential mates and potential competitors in space
Data from: Testing and interpreting the shared space-environment fraction in variation partitioning analyses of ecological data
负责人:
关键词:
Variation partitioning;Environmental filtering;plant community ecology
DOI:
doi:10.5061/dryad.4qk2k11
摘要:
Variation partitioning analyses combined with spatial predictors (Moran’s eigenvector maps, MEM) are commonly used in ecology to test the fracti
Data from: Species-specific variation in germination rates contributes to spatial coexistence more than adult plant water use in four closely-rela
负责人:
关键词:
plant population and community dynamics;demographic performance;diversity;germination;interspecific trait variation;plant coexistence;plant communities;spatial heterogeneity
DOI:
doi:10.5061/dryad.08kprr503
摘要:
spatial heterogeneity affects plant species coexistence, and presents novel evidence that differential performance in space is explained by what happens
Data from: Learning outdoors: Male lizards show flexible spatial learning under semi-natural conditions
负责人:
关键词:
associative learning;Cognition;Eulamprus quoyii;2011;spatial learning;reptile
DOI:
doi:10.5061/dryad.n5b32
摘要:
Spatial cognition is predicted to be a fundamental component of fitness in many lizard species, and yet some studies suggest that it is relative
Data resubmission from Macroecological factors shape local-scale spatial patterns in agriculturalist settlements
负责人:
关键词:
Ecology Environmental Science
DOI:
doi:10.6084/m9.figshare.5556727.v1
摘要:
by macroecological factors remains poorly understood. Here, we provide a first demonstration that macroecological factors shape strong local-scale spatial pat
Data from: Dissecting the hydrological niche: soil moisture, space and lifespan
负责人:
关键词:
plant coexistence;Pianka\u2019s index;water table depth;GAMM regression;RDA models;MEM spatial variables;dehesa meadow;Determinants of plant community diversity and structure;alpine meadow
DOI:
doi:10.5061/dryad.mk609
摘要:
species composition in both communities. Our results support the ecological hypothesis that spatial niche segregation on soil moisture gradients is an importa
Data from: Flow-ecology relationships are spatially structured and differ among flow regimes
负责人:
关键词:
environmental flows;Traits;hydrology;life history strategies;streams;Fish;spatial autocorrelation
DOI:
doi:10.5061/dryad.2f7h7t6
摘要:
h as autocorrelation due to spatial design, flow regime classification, and other environmental or ecological sources of spatial bias. 3. We used mixed moving-average

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