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false positives and negatives(passive) is influenced byThe accuracy of species distribution modelling
climatic variablesinfluencingregional distribution patterns using species distribution models ( SDMs
where species occurrence / density / richness are combined with environmental predictorsto createpredictive spatial models of species distribution
spatial autocorrelation , a phenomenon commonly observed in ecological data and species distribution modeling efforts(passive) is influenced byhow statistical inference of species distribution models
different processes depending on the regional species pool [ 42(passive) are influenced bypatterns of species distribution
https://doi.org/10.1556/ComEc.10.2009.2.9 Prevalence ( the presence / absence ratio in the training data ) is commonly thoughtto influencethe reliability of the predictions of species distribution models
All records will be usedto designspecies - specific predictive distribution models
NE CASC(passive) led byDemographically - Informed Species Distribution Models
using biological data form(passive) were createdModels of potential distribution of demersal species
the baton ... scientistscreatemodels of species distribution according to landuse
to determine the effect of climate and interspecific interactions in moving hybrid zones Pages 2479–2486 S.contributeto determine the effect of climate and interspecific interactions in moving hybrid zones Pages 2479–2486 S.
to determine the effect of climate and interspecific interactions in moving hybrid zones , Journal of Evolutionary Biology , 2013 , 26 , 11 , 2487 Wiley Online Library 18 Catherine I. Cullingham , Patrick M. A. James , Janice E. K. Cooke , David W. Coltman , Characterizing the physical and genetic structure of the lodgepole pine × jack pine hybrid zone : mosaic structure and differential introgression , Evolutionary Applications , 2012 , 5 , 8 , 879 Wiley Online Library 19 ALLAN D. MCDEVITT , KAROL ZUB , AGATA KAWAŁKO , MATTHEW K. OLIVER , JEREMY S. HERMAN , JAN M. WÓJCIK , Climate and refugial origincontributeto determine the effect of climate and interspecific interactions in moving hybrid zones , Journal of Evolutionary Biology , 2013 , 26 , 11 , 2487 Wiley Online Library 18 Catherine I. Cullingham , Patrick M. A. James , Janice E. K. Cooke , David W. Coltman , Characterizing the physical and genetic structure of the lodgepole pine × jack pine hybrid zone : mosaic structure and differential introgression , Evolutionary Applications , 2012 , 5 , 8 , 879 Wiley Online Library 19 ALLAN D. MCDEVITT , KAROL ZUB , AGATA KAWAŁKO , MATTHEW K. OLIVER , JEREMY S. HERMAN , JAN M. WÓJCIK , Climate and refugial origin
to confidence level as 95 % and margin of error(margin of sampling erroris setto confidence level as 95 % and margin of error(margin of sampling error
the biogeographical range of species and the ability to predict encounters with , and potential aggregations of animals that could be predicted , if encounteredto influencethe biogeographical range of species and the ability to predict encounters with , and potential aggregations of animals that could be predicted , if encountered
in misrepresented projections for species living in extreme conditionsmay resultin misrepresented projections for species living in extreme conditions
with GIScreatedwith GIS
from a lack of relevant explanatory variables , or spatial autocorrelationresultfrom a lack of relevant explanatory variables , or spatial autocorrelation
the few largest sample sizes to control the appearance of a trend in the regressionwill causethe few largest sample sizes to control the appearance of a trend in the regression
the constraint area Interpretation of model outputs SDM - Interpretation of model outputsSettingthe constraint area Interpretation of model outputs SDM - Interpretation of model outputs
these results(passive) might ... be caused bythese results
to crack this problemhave been inventedto crack this problem