Remote sensing-based predictors improve distribution models of rare, early successional and broadleaf tree species in Utah
about
Good-bye to tropical alpine plant giants under warmer climates? Loss of range and genetic diversity in Lobelia rhynchopetalumClimatic extremes improve predictions of spatial patterns of tree species.Contemporary Remotely Sensed Data Products Refine Invasive Plants Risk Mapping in Data Poor Regions.Balancing forest-regeneration probabilities and maintenance costs in dry grasslands of high conservation priority.Integrating life stages into ecological niche models: a case study on tiger beetlesEffects of species' similarity and dominance on the functional and phylogenetic structure of a plant meta-community.Airborne and Grain Dust Fungal Community Compositions Are Shaped Regionally by Plant Genotypes and Farming Practices.Prevalence dependence in model goodness measures with special emphasis on true skill statisticsDo floral and niche shifts favour the establishment and persistence of newly arisen polyploids? A case study in an Alpine primrose.Regional distribution models with lack of proximate predictors: Africanized honeybees expanding northImplementing and interpreting local-scale invasive species distribution modelsChallenges in predicting invasive reservoir hosts of emerging pathogens: mapping Rhododendron ponticum as a foliar host for Phytophthora ramorum and Phytophthora kernoviae in the UKExamining Local Transferability of Predictive Species Distribution Models for Invasive Plants: An Example with Cogongrass (Imperata cylindrica)Modeling Species Distribution Using Niche-Based Proxies Derived from Composite Bioclimatic Variables and MODIS NDVIValidation of and comparison between a semidistributed rainfall-runoff hydrological model (PREVAH) and a spatially distributed snow-evolution model (SnowModel) for snow cover prediction in mountain ecosystemsWhat we use is not what we know: environmental predictors in plant distribution modelsImproving the prediction of plant species distribution and community composition by adding edaphic to topo-climatic variablesThe accuracy of plant assemblage prediction from species distribution models varies along environmental gradientsClimate-based empirical models show biased predictions of butterfly communities along environmental gradientsBiotic and abiotic variables show little redundancy in explaining tree species distributionsProspective sampling based on model ensembles improves the detection of rare speciesSpecies distribution models reveal apparent competitive and facilitative effects of a dominant species on the distribution of tundra plantsTemporal transferability of wildlife habitat models: implications for habitat monitoringAccounting for tree line shift, glacier retreat and primary succession in mountain plant distribution modelsCo-occurrence patterns of trees along macro-climatic gradients and their potential influence on the present and future distribution of Fagus sylvatica LUsing unclassified continuous remote sensing data to improve distribution models of red-listed plant speciesClimate, competition and connectivity affect future migration and ranges of European treesSatellite surface reflectance improves habitat distribution mapping: a case study on heath and shrub formations in the Cantabrian Mountains (NW Spain)New trends in species distribution modellingAn improved species distribution model for Scots pine and downy oak under future climate change in the NW Italian AlpsClassification and mapping of the woody vegetation of Gonarezhou National Park, ZimbabweWill remote sensing shape the next generation of species distribution models?Field-measured variables outperform derived alternatives in Maryland stream biodiversity modelsInclusion of habitat availability in species distribution models through multi-temporal remote-sensing data?Exploring the spatiotemporal dynamics of habitat suitability to improve conservation management of a vulnerable plant species
P2860
Q28818491-FD400AF0-436B-41CD-BDFA-1BAEF1CA30DEQ33515542-A884862A-2F40-4F64-B2D1-0A8E8A0700BEQ33679423-DDCB5E47-C9EE-42A4-BD1F-36AC0F1EC427Q33777272-32DBDFB5-6FE3-42E5-8B02-F4528B28D295Q34875183-A3FB9C4B-9914-4D25-BDA4-1B5F9DBCA2D2Q35734682-EF7A923B-3D0D-4E89-947F-F372459DF617Q35908818-1BB87F19-5207-457A-B174-25FB91B7E85DQ38975164-FC60F922-4B02-4776-BA6D-F120130287DEQ46439984-07CAAD71-76F7-4F88-B850-05439F3C1FB7Q56457163-46821C82-BF90-4058-BD6E-C0492BAB0A4CQ56487647-C7B48846-43B5-4651-8089-331511600C2EQ56515738-275D7E95-9C90-4603-8498-6F202D14AF4BQ56740366-DC4C0D67-79F8-49D7-B57F-43E0E83F5F63Q56754569-4A73963A-ECE8-4C56-AD1E-A2338A8FA006Q56929435-6A1867E1-4CBA-4DF9-A702-F5807E9C9913Q57013775-10D46CC9-2288-4AFF-85FE-413A4741F277Q57013950-CE819656-E409-462A-ABCC-F305E3309449Q57013979-758C9A1F-035D-4B7F-9AE4-388CB505297EQ57013992-9D12860D-5B39-474B-BF95-0A51E8BCFEF7Q57014042-F4D11728-96F0-4B88-BB37-FDE7755A31A1Q57014055-ADC3F8C7-C032-47C7-BDEE-B8C37159D2DAQ57014068-AF23EB04-04EB-4347-920B-CF822A953550Q57018608-FE002D4E-412E-4449-973D-20BC6A61D77CQ57060242-851A0957-AD15-4D4D-AA17-DA480101D980Q57060259-E6761207-45CF-4DFB-9D3E-9DDC0F31029AQ57060277-DA939B11-4246-4C36-82AA-BADBFC687AC3Q57060279-244E9718-3DB9-4EB0-AB87-00F4483245AEQ57062656-A3E8C93F-0272-49D4-95C2-CEA9863A9A59Q57068411-9D5553A0-A1AA-4733-8C91-A513F1109354Q57231579-FFACCC64-E6EA-48FA-BBC2-7E3E7EE01D61Q57912970-E595E952-4180-4D2B-8C5E-40EFBBBCFF09Q58097100-431651B5-DD06-4AD2-8E6A-E2DC047F75CFQ58109669-BCF87896-727D-4151-93D4-BFA4AE7FD4D7Q58201637-4E19332B-0A5D-4AE8-83FE-59ABB6B082D1Q58337564-B6735C8F-06AD-4D17-8EBC-9C11DFAA2B80
P2860
Remote sensing-based predictors improve distribution models of rare, early successional and broadleaf tree species in Utah
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Remote sensing-based predictor ...... broadleaf tree species in Utah
@ast
Remote sensing-based predictor ...... broadleaf tree species in Utah
@en
type
label
Remote sensing-based predictor ...... broadleaf tree species in Utah
@ast
Remote sensing-based predictor ...... broadleaf tree species in Utah
@en
prefLabel
Remote sensing-based predictor ...... broadleaf tree species in Utah
@ast
Remote sensing-based predictor ...... broadleaf tree species in Utah
@en
P2093
P2860
P1476
Remote sensing-based predictor ...... broadleaf tree species in Utah
@en
P2093
G G Moisen
J A Blackard
N E Zimmermann
T C Edwards
T S Frescino
P2860
P304
P356
10.1111/J.1365-2664.2007.01348.X
P577
2007-10-01T00:00:00Z