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Data from: A global test of the cold-climate hypothesis for the evolution of viviparity of squamate reptiles
负责人:
关键词:
cold climate hypothesis;developmental time;reproductive mode;developmental viability;biophysical model;Embryo;Viviparity;energy consumption;Thermoregulation;current;Squamate;Holocene
DOI:
doi:10.5061/dryad.tm06r
摘要:
ed biophysical models and climate databases enable us to conduct a mechanistic test of this hypothesis. Location Global Time period Summer Major taxa studied
Data from: LeWoS: A universal leaf-wood classification method to facilitate the 3D modelling of large tropical trees using terrestrial LiDAR
负责人:
关键词:
Light Detection and Ranging LiDAR;3D modelling;biomass estimate;point cloud;Tropical trees
DOI:
doi:10.5061/dryad.np5hqbzp6
摘要:
1. Leaf-wood separation in terrestrial LiDAR data is a prerequisite for non-destructively estimating biophysical forest properties such as standing
Data from: A multiscale biophysical model for the recruitment of actin nucleating proteins at the membrane interface
负责人:
关键词:
actin filament formation;actin cytoskeleton;Molecular modeling;molecular dynamics
DOI:
doi:10.5061/dryad.qbzkh18f6
摘要:
ined in molecular simulations and the cooperative binding mechanisms of the proteins, we also propose a multivalent binding model that predic
Data from: Population genomics meet Lagrangian simulations: oceanographic patterns and long larval duration ensure connectivity amo
负责人:
关键词:
biophysical models;Paracentrotus lividus;2b-RAD;SNPs;population genomics;seascape genetics;sea urchin
DOI:
doi:10.5061/dryad.73kc6
摘要:
in 275 samples, with Lagrangian simulations performed with a biophysical model of larval dispersal. We detected genetic homogeneity among eight pop
Data from: Predicting climate warming effects on green turtle hatchling viability and dispersal performance
负责人:
关键词:
current and future;Chelonia;developmental trade-offs;organismal performance;environmental change;ectotherm;climate warming;complex life history
DOI:
doi:10.5061/dryad.f4nh9
摘要:
ded to comprehensively understand species responses to climate warming. 2. Here, we developed a stepwise, individual-level modelling approach linking biophysical
Data from: Tree-hugging koalas demonstrate a novel thermoregulatory mechanism for arboreal mammals
负责人:
关键词:
biophysical models;koala;behavioural thermoregulation;Phascolarctos cinereus;microclimate selection;climate change
DOI:
doi:10.5061/dryad.49j7t
摘要:
heat loss by seeking out and resting against tree trunks that were substantially cooler than ambient air temperature. Using a biophysical model
Data from: Assessment of mesophotic coral ecosystem connectivity for proposed expansion of a marine sanctuary in the northwest Gulf of Mexic
负责人:
关键词:
microsatellites;population genetics;Montastraea cavernosa;Marine spatial planning;sanctuary expansion;mesophotic coral ecosystems
DOI:
doi:10.5061/dryad.3kh117d
摘要:
art. Historical migration models based on genetic data predicted panmixia of M. cavernosa across the NW GOM. The comparisons between genetic and biophysical models
Data from: The role of habitat filtering in the leaf economics spectrum and plant susceptibility to pathogen infection
负责人:
关键词:
Functional Trait;Anthropocene;Leaf Economics;host;pathogen;Poaceae;disease ecology;trait-based ecology
DOI:
doi:10.5061/dryad.356v3
摘要:
The leaf economics spectrum (LES) describes global covariation in the traits of plant leaves. The LES is thought to arise from biophysical
Data from: Modeling the effect of environmental temperatures, microhabitat, and behavioral thermoregulation on predicted activity patterns
负责人:
关键词:
DOI:
doi:10.5061/dryad.q2bvq83gj
摘要:
Western deserts of North America. Taxon Desert Horned Lizard (Phrynosoma platyrhinos) Methods We used biophysical models
Identification and analysis of future land-use conflict in Mecklenburg County, North Carolina
负责人:
关键词:
modeling Geographic Information Science and Technology geodesign landscape architecture GIS North Carolina Mecklenburg County mapping spatial analysis LUCIS
DOI:
doi:10.25549/usctheses-c40-173255
摘要:
ngst the fastest growing metropolitan areas in the country. This growth is driven by sociodemographic, economic, and biophysical factors suc

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