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Data from: General rules for environmental management to prioritise social-ecological systems research based on a value of information approach
负责人:
关键词:
learning;Social network analysis;Adaptive Management;research priorities;social-ecological systems;value of information;Environmental management;complexity
DOI:
doi:10.5061/dryad.9nq5c8d
摘要:
n the realities of limited time and money. 2. Here we use a simulation-based “value of information” approach to examine where research will deliver the most important
Data from: Assessing reliance on vector navigation in the long-distance oceanic migrations of green sea turtles
负责人:
Luschi, Prof. Paolo
关键词:
navigational strategies individual-based models migration clock and compass
DOI:
doi:10.5061/dryad.24vm627
摘要:
(Chelonia mydas) that migrate between the remote Ascension Island and Brazil. To this aim, a novel approach was followed using individual-based numerical model
Data from: Information use by humans during dynamic route choice in virtual crowd evacuations
负责人:
关键词:
Bayesian model selection;crowd evacuations;decision making;virtual environment;route choice
DOI:
doi:10.5061/dryad.7m645
摘要:
ful in identifying topics for future study on real human crowd movements or for developing more realistic agent-based simulations.
Data from: Use of hidden Markov capture-recapture models to estimate abundance in presence of uncertainty: application to estimating the prevalence
负责人:
Santostasi, Nina Luisa
关键词:
hidden Markov models capture-recapture hybridization Viterbi algorithm
DOI:
doi:10.5061/dryad.8g8r675
摘要:
ng for imperfect detectability and uncertainty in individual's classification. We carried out a simulation study to compare naive and modelbased esti
Data from: Spatial autocorrelation in fitness affects the estimation of natural selection in the wild
负责人:
关键词:
Pseudoreplication;selection gradients;spatial heterogeneity;Cyanistes caeruleus;spatial autocorrelation;blue tit;multiple regression
DOI:
doi:10.5061/dryad.pm86c
摘要:
-based exponential covariance function, two simultaneous autoregressive models (SAR, the lagged-response model (SAR-lag) and the spatial error model (SAR
Data from: Excavation and aggregation as organizing factors in de novo construction by mound-building termites
负责人:
关键词:
Aggregation;Macrotermes natalensis;Collective construction;Stigmergy;Macrotermes michaelseni;Termites;Complex systems;Self-organization
DOI:
doi:10.5061/dryad.82h58
摘要:
, distinct from and unrelated to putative chemical cues that stimulate deposition. Agent-based simulations quantitatively supported the interpretation tha
Data from: Continuous-time spatially explicit capture-recapture models, with an application to a jaguar camera-trap survey.
负责人:
关键词:
SECR Camera trap survey Jaguars
DOI:
doi:10.5061/dryad.mg5kv
摘要:
me our continuous-time (CT) model is equivalent to an existing model based on detection frequencies. We use the model to estimate jaguar density from a camera-trap
Data from: Model-based species delimitation: are coalescent species reproductively isolated?
负责人:
关键词:
Multispecies coalescent;BPP;Drosophila<\/i> speciation;Genetic distance
DOI:
doi:10.5061/dryad.fk869rf
摘要:
correspond to those recognized by many decades of speciation research. We found that coalescent based and reproductive isolation based methods of inferring
Data from: A Bayesian approach to social structure uncovers cryptic regulation of group dynamics in Drosophila melanogaster
负责人:
关键词:
Modeling: stochastic spatial;Evolution: social;Behavior: social;Mate choice;Social structure;Modeling: individual based;drosophila melanogaster
DOI:
doi:10.5061/dryad.49r20
摘要:
on of agent-based simulation [ABS] and Approximate Bayesian Computation [ABC] to fit models to empirical data. We confirm that genetic variation in aggressi
Data from: Incorporating uncertainty into forest management planning: timber harvest, wildfire and climate change in the boreal forest
负责人:
关键词:
disturbance;Populus tremuloides;stochastic;risk;Model;Pinus banksiana;spatial;Holocene;Picea mariana;Landscape
DOI:
doi:10.5061/dryad.0rb1b
摘要:
parameterizations of a stochastic, spatially-explicit state-and-transition simulation model (STSM). We then use Monte Carlo simulations with the STSM to “stress

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