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Data from: Individual size variation reduces spatial variation in abundance of tree community assemblage, not of tree populations
负责人:
关键词:
2010-2015;Tropical Forest
DOI:
doi:10.5061/dryad.87n81
摘要:
(Taylor's law and abundance–size relationship), we derived a new scaling relationship between the individual size variation and spatial variation
Data from: Intraspecific and interspecific trait variability in tadpole metacommunities from the Brazilian Atlantic rainforest
负责人:
关键词:
total abundance;species richness;abundance;morphological traits;species occurrence;Developmental Stage
DOI:
doi:10.5061/dryad.n410g85
摘要:
es phenotypic variability at the individual, population, community and regional levels. 5. On average, 33% of trait variability was due to within species variation
Data from: An approach to estimate short-term, long-term, and reaction norm repeatability
负责人:
关键词:
repeatability;multi-level random regression;heterogeneous residual variance;Phenotypic Plasticity
DOI:
doi:10.5061/dryad.37c1m
摘要:
le to illustrate its utility. We conclude that consideration of multi-level variation in reaction norms deepens our understanding of the hierarchical structuring
Data from: Adaptive genetic variation mediates bottom-up and top-down control in an aquatic ecosystem
负责人:
关键词:
community genetics;local adaptation;eco-evolutionary dynamics;Populus trichocarpa;Gasterosteus aculeatus
DOI:
doi:10.5061/dryad.0h4f8
摘要:
of phenotypic variation in multiple taxa within an ecosystem. Given the ubiquitous nature of local adaptation, and thus intraspecific variation, we sought to understand
Data from: Regular bottlenecks and restrictions to somatic fusion prevent the accumulation of mitochondrial defects in Neurospora
负责人:
关键词:
senescence;Mitochondria;kin selection;Neurospora crassa;levels of selection;anastomosis;multi-level selection;Neurospora intermedia
DOI:
doi:10.5061/dryad.5s67r
摘要:
the wild-type mtDNA, ultimately culminating in growth arrest and death. We show that regular sequestration of mtDNA variation is required for effective
Data from: Desiccation resistance and pigmentation variation reflects bioclimatic differences in the Drosophila americana species complex
负责人:
关键词:
Drosophila;Adaptation;Pigmentation;desiccation resistance
DOI:
doi:10.5061/dryad.6t1g1jwv2
摘要:
-level trait variation was consistent with differential natural selection imposed by variation in habitat water availability, although patterns
Data from: Shifts in plant nutrient content in combined warming and drought scenarios may alter reproductive fitness across trophic levels
负责人:
关键词:
climate change;grass;Melanoplus femurrubrum
DOI:
doi:10.5061/dryad.tf5p8t7
摘要:
in combination can significantly alter the nutrient profiles of plants relative to climate variables in isolation and that multi?variable climate change
Data from: The functional syndrome: linking individual trait variability to ecosystem functioning
负责人:
关键词:
Phenotypes;ecosystem functioning;Interindividual variability;Functional traits;Procambarus clarkii;biological invasions
DOI:
doi:10.5061/dryad.rm230
摘要:
t traits has been poorly examined at the intraspecific level, thus hampering progress in understanding how phenotypic variability alters the role
Data from: MHC structuring and divergent allele advantage in a urodele amphibian: a hierarchical multi-scale approach
负责人:
关键词:
microsatellites;major histocompatibility complex (MHC) class II genes;Triturus carnifex;test for DAA (divergent allele advantage);Holocene
DOI:
doi:10.5061/dryad.ct40nm7
摘要:
positive selection and trans-species polymorphism. Our results point to the importance of a multi-scale approach in studying MHC variation, especially in low-dispersal
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:
height 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:
) and structural type (cover, height, horizontal variability, vertical variability). Metrics related to canopy cover, canopy height and canopy vertical variability are cu

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