Bias correction in species distribution models: pooling survey and collection data for multiple species
about
Citizen surveillance for environmental monitoring: combining the efforts of citizen science and crowdsourcing in a quantitative data frameworkExplaining Spatial Variation in the Recording Effort of Citizen Science Data across Multiple TaxaA Standardised Vocabulary for Identifying Benthic Biota and Substrata from Underwater Imagery: The CATAMI Classification Scheme.Global priorities for an effective information basis of biodiversity distributionseButterfly: Leveraging Massive Online Citizen Science for Butterfly Consevation.Capitalizing on opportunistic data for monitoring relative abundances of species.Evaluating citizen science data for forecasting species responses to national forest managementForest management could counteract distribution retractions forced by climate change.Identifying multispecies synchrony in response to environmental covariatesQuantifying the degree of bias from using county-scale data in species distribution modeling: Can increasing sample size or using county-averaged environmental data reduce distributional overprediction?The interplay of various sources of noise on reliability of species distribution models hinges on ecological specialisation.Estimating the magnitude of morphoscapes: how to measure the morphological component of biodiversity in relation to habitats using geometric morphometrics.Wrong, but useful: regional species distribution models may not be improved by range‐wide data under biased sampling.Long-term archives reveal shifting extinction selectivity in China's postglacial mammal fauna.Determining threatened species distributions in the face of limited data: Spatial conservation prioritization for the Chinese giant salamander (Andrias davidianus).Improved species-occurrence predictions in data-poor regions: using large-scale data and bias correction with down-weighted Poisson regression and MaxentIs my species distribution model fit for purpose? Matching data and models to applicationsIntegrating occurrence data and expert maps for improved species range predictionsImproving niche and range estimates with Maxent and point process models by integrating spatially explicit informationCross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structurePoint process models for presence-only analysisPerformance tradeoffs in target-group bias correction for species distribution modelsNew opportunities at the interface between ecology and statisticsWill remote sensing shape the next generation of species distribution models?Modelling imperfect presence data obtained by citizen scienceApplying surrogate species presences to correct sample bias in species distribution models: a case study using the Pilbara population of the Northern Quoll
P2860
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P2860
Bias correction in species distribution models: pooling survey and collection data for multiple species
description
2014 nî lūn-bûn
@nan
2014 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Bias correction in species dis ...... tion data for multiple species
@ast
Bias correction in species dis ...... tion data for multiple species
@en
type
label
Bias correction in species dis ...... tion data for multiple species
@ast
Bias correction in species dis ...... tion data for multiple species
@en
prefLabel
Bias correction in species dis ...... tion data for multiple species
@ast
Bias correction in species dis ...... tion data for multiple species
@en
P2860
P356
P1476
Bias correction in species dis ...... tion data for multiple species
@en
P2093
David A Keith
William Fithian
P2860
P304
P356
10.1111/2041-210X.12242
P577
2014-10-10T00:00:00Z