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Data from: Ecophysiological variation across a forest-ecotone gradient produces divergent climate change vulnerability within species
负责人:
关键词:
mechanistic modelling;Trachylepis affinis;global change;ecophysiology
DOI:
doi:10.5061/dryad.22sf7
摘要:
dients and directly linked this variation to contemporary climate change impacts. In this study, we quantified variation in thermal performance across a gradient from
Data from: Genetic variation and evolution of secondary compounds in native and introduced populations of the invasive plant Melaleuca quinquenervia
负责人:
关键词:
G matrix;phenotypic evolution;natural selection;EICA hypothesis;Melaleuca quinquenervia;Herbivory;evolutionary constraints
DOI:
doi:10.5061/dryad.6fj11j00
摘要:
and Viridiflorol and a decrease or no change in Nerolidol, in direct contrast to the observed changes in the new range. This discrepancy could be due to differences
Data from: Stress hormone receptors change as range expansion progresses in house sparrows
负责人:
关键词:
qPCR;Passer domesticus;glucorticoids
DOI:
doi:10.5061/dryad.8pq6c
摘要:
how certain species will react as their ranges shift owing to anthropogenic changes.
Data from: Evolution on the move: specialization on widespread resources associated with rapid range expansion in response to climate change
负责人:
关键词:
host plant preference;Aricia agestis;environmental change;Adaptation;Lycaenidae;range expansion;climate change
DOI:
doi:10.5061/dryad.8261b
摘要:
Generalist species and phenotypes are expected to perform best under rapid environmental change. In contrast to this view that genera
Data from: Warm and out of breath: thermal phenotypic plasticity in oxygen supply
负责人:
关键词:
hypoxia;critical oxygen;Pcrit;oxygen consumption;thermodynamics;transgenerational acclimation;Metabolism;Daphnia magna;Thermal acclimation
DOI:
doi:10.5061/dryad.v3fb667
摘要:
organism level at high temperatures. 5. This response is strongest within the highest temperature range (22-28 °C), where the change in oxygen challenge
Data from: Evolution of density-dependent movement during experimental range expansions
负责人:
关键词:
protist microcosm;Tetrahymena thermophila;biological invasion;Experimental evolution;dispersal evolution;movement;context-dependent dispersal
DOI:
doi:10.5061/dryad.36q03
摘要:
re, we found evolutionary changes during range expansions even in the absence of initial standing genetic variation. Range expansions led to the evolution of negatively density
Data from: Increasing frequency of low summer precipitation synchronizes dynamics and compromises metapopulation stability in the Glanville
负责人:
关键词:
Plantago lanceolata;climatic extremes;Glanville fritillary;Melitaea cinxia;metapopulation;spatial synchrony;Holocene;population dynamics;climate change
DOI:
doi:10.5061/dryad.rq3ng
摘要:
Climate change is known to shift species' geographical ranges, phenologies and abundances, but less is known about other population dynamic
Data from: Forty years of seagrass population stability and resilience in an urbanizing estuary
负责人:
关键词:
eelgrass;spatio-temporal models;plant population and community dynamics;shoreline armoring;Zostera;urbanization;resilience;coastal development
DOI:
doi:10.5061/dryad.3h9k4
摘要:
shoreline armouring, upland development (imperviousness) and human density provide no explanatory power for eelgrass population change at any spatial scale
Data from: Testing the link between phenotypic evolution and speciation: an integrated paleontological and phylogenetic analysis
负责人:
关键词:
fossil record;Poseidonamicus;punctuated equilibrium;Macroevolution;Cenozoic;Holocene;Ostracoda;speciation
DOI:
doi:10.5061/dryad.6s146
摘要:
netic (speciational) change, and geographic variation within species. 3. Maximum-likelihood parameter estimates suggested dominantly speciational change for only one
Data from: Quantifying thermal extremes and biological variation to predict evolutionary responses to changing climate
负责人:
关键词:
Phenotype;thermal tolerance;selection;extreme value distribution;time scale;thermal performance curve
DOI:
doi:10.5061/dryad.5jg20
摘要:
ow how distributions of thermal extremes vary with latitude, time scale and climate change. Second, we review how performance curves and tolerances have been use

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