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Data from: The behavioral trade-off between thermoregulation and foraging in a heat-sensitive species
负责人:
Mason, Tom
关键词:
alpine ibex behavioral thermoregulation foraging trade-off ungulate climate change
DOI:
doi:10.5061/dryad.18p73
摘要:
on growing season in Gran Paradiso National Park, Italy. We used structural equation modeling to assess the support for models linking ambient temperature, alti
Data from: Paths to selection on life history loci in different natural environments across the native range of Arabidopsis thaliana
负责人:
关键词:
Arabidopsis thaliana;Life History Evolution;Natural Selection and Contemporary Evolution;Phenotypic Plasticity;quantitative genetics;Angiosperms;Adaptation
DOI:
doi:10.5061/dryad.1pg3n
摘要:
, showing conditional neutrality. We used structural equation models to trace selection paths from QTL to lifetime fitness in each environment. Only thr
Data from: Shoot growth of woody trees and shrubs is predicted by maximum plant height and associated traits
负责人:
关键词:
shoot extension;conductivity;structural equation modelling;growth rate;leaf size;climate;plant traits
DOI:
doi:10.5061/dryad.tv652
摘要:
% of the variation (p < 0.05) in growth when holding the influence of the other traits constant. Structural equation models suggest that traits associated with
Data from: Predator-prey dynamics and the plasticity of predator body size
负责人:
关键词:
predator prey dynamics;supply-demand model;mutual interference;eco-evolutionary dynamics;Phenotypic Plasticity;Didinium nasutum;Paramecium aurelia;Body size evolution
DOI:
doi:10.5061/dryad.077vm
摘要:
1. Body size is of fundamental importance to the structure and function of natural systems, yet the factors selecting for certain body sizes are sti
Data from: Mammal-induced trophic cascades in invertebrate food webs are modulated by grazing intensity in subalpine grassland
负责人:
Vandegehuchte, Martijn L.
关键词:
competition herbivory insects interaction chains plants rodents ungulates
DOI:
doi:10.5061/dryad.qt2kt
摘要:
on, and determined the abundance of invertebrate herbivores, detritivores, omnivores, and predators. We used Structural Equation Modelling to test vegetation-mediated
Data from: Plant diversity enhances moth diversity in an intensive forest management experiment
负责人:
Betts, Matthew G.
关键词:
biodiversity bottom-up herbicide intensive forest management moth communities species richness trophic richness relationships
DOI:
doi:10.5061/dryad.47200
摘要:
than the control. Structural equation modeling revealed strong support for an effect of herbicide on plant abundance, which influenced
Data from: Impact of nutrition and salinity changes on biological performances of green and white sturgeon
负责人:
关键词:
DOI:
doi:10.5061/dryad.1d0f3
摘要:
essors considered and a suite of physiological variables. Using structural equation modeling, a path diagram is proposed to quantify the main linkages amo
Data from: Fatal attraction? Intraguild facilitation and suppression among predators
负责人:
关键词:
Carnivores;competition;Lynx canadensis;Ecology: community;Gulo gulo;Martes americanus;Community: structure;Interactions: trophic;Canis latrans;Canis lupus;Vulpes vulpes
DOI:
doi:10.5061/dryad.tj590
摘要:
(e.g., mesopredator release). We analyzed survey data using an integrative occupancy and structural equation modeling framework to quantify the strengths of hypothesized
Data from: Precipitation alters interactions in a grassland ecological community
负责人:
Deguines, Nicolas
关键词:
Conditional outcomes Dryland Ecological non-monotonicity Food-web Arthropods Dipodomys ingens Path analysis Rain San Joaquin antelope squirrel
DOI:
doi:10.5061/dryad.pb4p1
摘要:
of rodents on 30 plots each year. We used structural equation modelling to evaluate the direct, indirect and modifying effects of precipitation on plants, ants
Data from: Nitrogen controls the net primary production of an alpine Kobresia meadow in the northern Qinghai-Tibet Plateau
负责人:
关键词:
DOI:
doi:10.5061/dryad.7sp252q
摘要:
net primary productivity (BNPP), and identified their relationships with environmental factors by adopted the general linear model (GLM)and structural equation model (SEM

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