The effects of sampling bias and model complexity on the predictive performance of MaxEnt species distribution models.
about
Distribution models and species discovery: the story of a new Solanum species from the Peruvian AndesClimate threat on the Macaronesian endemic bryophyte flora.Habitat Heterogeneity Variably Influences Habitat Selection by Wild Herbivores in a Semi-Arid Tropical Savanna EcosystemPhylogeography of Nanorana parkeri (Anura: Ranidae) and multiple refugia on the Tibetan Plateau revealed by mitochondrial and nuclear DNAThe relative impacts of climate and land-use change on conterminous United States bird species from 2001 to 2075Predicting the impacts of climate change on the potential distribution of major native non-food bioenergy plants in ChinaEmerging New Crop Pests: Ecological Modelling and Analysis of the South American Potato Psyllid Russelliana solanicola (Hemiptera: Psylloidea) and Its Wild RelativesLowland tapir distribution and habitat loss in South AmericaFrom GenBank to GBIF: Phylogeny-Based Predictive Niche Modeling Tests Accuracy of Taxonomic Identifications in Large Occurrence Data RepositoriesExplaining Spatial Variation in the Recording Effort of Citizen Science Data across Multiple TaxaClimate change effects on Chikungunya transmission in Europe: geospatial analysis of vector's climatic suitability and virus' temperature requirements.A mixed modeling approach to predict the effect of environmental modification on species distributions.Displaying bias in sampling effort of data accessed from biodiversity databases using ignorance mapsModel-based control of observer bias for the analysis of presence-only data in ecologyMapping species distributions with MAXENT using a geographically biased sample of presence data: a performance assessment of methods for correcting sampling bias.Future of endemic flora of biodiversity hotspots in IndiaPredicting potential ranges of primary malaria vectors and malaria in northern South America based on projected changes in climate, land cover and human population.Climate Change Influences on the Global Potential Distribution of Bluetongue VirusPotential Implications of Climate Change on Aegilops Species Distribution: Sympatry of These Crop Wild Relatives with the Major European Crop Triticum aestivum and Conservation IssuesSpecies distribution models for crop pollination: a modelling framework applied to Great Britain.Modelling the impacts of an invasive species across landscapes: a step-wise approach.The importance of data quality for generating reliable distribution models for rare, elusive, and cryptic speciesModeling the distribution of the West Nile and Rift Valley Fever vector Culex pipiens in arid and semi-arid regions of the Middle East and North Africa.An iterative and targeted sampling design informed by habitat suitability models for detecting focal plant species over extensive areasGlobal distribution maps of the leishmaniasesThe sampled Red List Index for plants, phase II: ground-truthing specimen-based conservation assessments.Species undersampling in tropical bat surveys: effects on emerging biodiversity patterns.Global database of leishmaniasis occurrence locations, 1960-2012.Projecting future expansion of invasive species: comparing and improving methodologies for species distribution modeling.Ecological approaches in veterinary epidemiology: mapping the risk of bat-borne rabies using vegetation indices and night-time light satellite imageryAssessing the Global Risk of Establishment of Cydia pomonella (Lepidoptera: Tortricidae) using CLIMEX and MaxEnt Niche Models.Using Species Distribution Models to Predict Potential Landscape Restoration Effects on Puma Conservation.Are we overestimating the niche? Removing marginal localities helps ecological niche models detect environmental barriers.Evidence of niche shift and global invasion potential of the Tawny Crazy ant, Nylanderia fulvaPredicting potential distribution of poorly known species with small database: the case of four-horned antelope Tetracerus quadricornis on the Indian subcontinent.Global Potential Distribution of Bactrocera carambolae and the Risks for Fruit Production in BrazilBiotic and abiotic factors predicting the global distribution and population density of an invasive large mammal.An updated understanding of Texas bumble bee (Hymenoptera: Apidae) species presence and potential distributions in Texas, USA.Pet snakes illegally marketed in Brazil: Climatic viability and establishment riskMaxent-directed field surveys identify new populations of narrowly endemic habitat specialists.
P2860
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P2860
The effects of sampling bias and model complexity on the predictive performance of MaxEnt species distribution models.
description
2013 nî lūn-bûn
@nan
2013 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
The effects of sampling bias a ...... t species distribution models.
@ast
The effects of sampling bias a ...... t species distribution models.
@en
The effects of sampling bias a ...... t species distribution models.
@nl
type
label
The effects of sampling bias a ...... t species distribution models.
@ast
The effects of sampling bias a ...... t species distribution models.
@en
The effects of sampling bias a ...... t species distribution models.
@nl
prefLabel
The effects of sampling bias a ...... t species distribution models.
@ast
The effects of sampling bias a ...... t species distribution models.
@en
The effects of sampling bias a ...... t species distribution models.
@nl
P2093
P2860
P1433
P1476
The effects of sampling bias a ...... t species distribution models.
@en
P2093
David A Coomes
Matthew J Smith
Mindy M Syfert
P2860
P304
P356
10.1371/JOURNAL.PONE.0055158
P407
P577
2013-02-14T00:00:00Z