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Data from: Avoiding tipping points in fisheries management through Gaussian process dynamic programming
负责人:
关键词:
DOI:
doi:10.5061/dryad.mj226
摘要:
e large region of state space where such a tipping point might exist. We illustrate how a Bayesian non-parametric approach using a Gaussian process (GP
Data from: On population abundance and niche structure
负责人:
关键词:
population density;fundamental niche;Cryptotis nigrescens;Holocene
DOI:
doi:10.5061/dryad.33k4gp8
摘要:
of the niche modeling algorithm MaxEnt is not a good predictor of environmental suitability. Our results elucidate the empirical results for spatial patterns
Data from: Measuring site fidelity and spatial segregation within animal societies
负责人:
关键词:
social network;non-Markov;random walk;Formicidae;social insect;Temnothorax albipennis;ant;animal movement;Hymenoptera
DOI:
doi:10.5061/dryad.fj043
摘要:
this, we describe a site-centric approach which, in combination with a spatially-explicit null model, allows the identification of the important sites towards
Data from: Fear on the move: predator hunting mode predicts variation in prey mortality and plasticity in prey spatial response
负责人:
关键词:
food web grasshopper grassland habitat domain predator effects predator-prey interaction prey strategy spider
DOI:
doi:10.5061/dryad.n5d15
摘要:
lity and spider and grasshopper movement activity and habitat domain size. Sit-and-wait spider predators covered small distances over a narrow domain space
Data from: Increasing synergistic effects of habitat destruction and hunting on mammals over three decades in the Gran Chaco
负责人:
关键词:
conservation planning;defaunation;deforestation;habitat loss;Land-use change;overexploitation
DOI:
doi:10.5061/dryad.wm37pvmjg
摘要:
ny tropical deforestation frontiers. Our work highlights how threats can be traced in space and time to understand their individual and combined impact, even in situ
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:
tions of species abundance variation purely explained by environment and space. However, while these pure fractions can be tested using a classical residuals permutat
Data from: Robust design for coalescent model inference
负责人:
关键词:
population genetic inference;structured coalescent;Experimental design;sequential Markovian coalescent;Coalescent Theory;skyline models
DOI:
doi:10.5061/dryad.n7rm21c
摘要:
l protocol, which controls variables such as the sampling of sequences through time and space, or the transformation of model parameters. While there is an exte
Data from: State-space modelling of geolocation data reveals sex differences in the use of management areas by breeding northern fulmars
负责人:
Edwards, Ewan W. J.
关键词:
double-tagging fisheries bycatch GLS geolocator validation Marine Strategy Framework Directive northern fulmar OSPAR spatial modelling tracking
DOI:
doi:10.5061/dryad.vb322
摘要:
tracking data from 11 double-tagged (GPS/geolocator) northern fulmars Fulmarus glacialis L. within a state-space modelling (SSM) framework to estimate errors
Data from: Tempo and mode of performance evolution across multiple independent origins of adhesive toe pads in lizards
负责人:
Hagey, Travis
关键词:
Ornstein-Uhlenbeck Brownian Motion Toe Detachment Angle Gecko Anole
DOI:
doi:10.5061/dryad.45623
摘要:
in bounded performance space consistent with more constrained evolution (an Ornstein-Uhlenbeck model). Our results suggest that convergent phenotypes can hav
Data from: The seasonal climate niche predicts phenology and distribution of an ephemeral annual plant, Mollugo verticillata
负责人:
关键词:
climate change;germination phenology;herbarium;seasonal climate niche;MaxEnt;ecological niche model;flowering phenology;Mollugo verticillata;historical records;niche breadth;1896-2069
DOI:
doi:10.5061/dryad.0s9j3
摘要:
framework to construct a seasonal species distribution model (SDM) of the species’ climate niche within the total climate space available across all seasons

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