About: Evaluation of statistical models used for predicting plant species distributions: Role of artificial data and theory

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rdf:type	Item
description	article (en) wetenschappelijk artikel (nl) наукова стаття, опублікована в листопаді 2006 (uk) im November 2006 veröffentlichter wissenschaftlicher Artikel (de)
publication date	wds:Q57025967-9BDC048A-AB0A-4854-B8DC-FAFC5BBC3FD3
publication date	2006-11-01 00:00:00Z (xsd:dateTime)
cites work	wds:Q57025967-CB24075A-E008-4159-A2D2-48E298A2A7B1
cites work	CO-INERTIA ANALYSIS AND THE LINKING OF ECOLOGICAL DATA TABLES
author name string	wds:Q57025967-18934784-F077-4EE5-B8BC-2530C5A05F53 wds:Q57025967-59ADEFF7-2391-4D10-8860-2747D8ED55E0 wds:Q57025967-5FBC895C-014A-4E8B-A1DD-4D06493042E5 wds:Q57025967-CFA3698E-DC04-4D50-8FE7-B5A42542E63B
author name string	M. Luoto J.A. Meyers M.P. Austin M.D. Doherty
rdfs:label	Evaluation of statistical models used for predicting plant species distributions: Role of artificial data and theory (en) Evaluation of statistical models used for predicting plant species distributions: Role of artificial data and theory (nl)
skos:prefLabel	Evaluation of statistical models used for predicting plant species distributions: Role of artificial data and theory (en) Evaluation of statistical models used for predicting plant species distributions: Role of artificial data and theory (nl)
name	Evaluation of statistical models used for predicting plant species distributions: Role of artificial data and theory (en) Evaluation of statistical models used for predicting plant species distributions: Role of artificial data and theory (nl)
author	wds:Q57025967-734D6B38-C54D-4279-AF54-CD357F0DC92E
author	Lee Belbin
title	wds:Q57025967-991C182F-EA43-40F6-A30A-514866DE9BC7
title	Evaluation of statistical models used for predicting plant species distributions: Role of artificial data and theory (en)
page(s)	wds:Q57025967-50A6F17B-9004-4BE3-A765-01E94F527C2A
page(s)	197-216
instance of	wds:Q57025967-EBA59835-2850-49B3-9F9A-7F94269CF8BF
instance of	scholarly article
main subject	wds:Q57025967-2D1FE07B-5820-4E8C-8E03-25C176AC1B5D wds:Q57025967-6E824DAA-B0F5-4938-8B10-83E50D307C49 wds:Q57025967-BF6A1D85-8E27-4B1F-9B55-CBE7B16C8528
main subject	statistics species distribution species distribution model
published in	wds:Q57025967-C244FE97-9870-4A01-A1B4-A06AB966D621
published in	Ecological Modelling
issue	wds:Q57025967-21D69557-A634-40D2-A86E-14A9C1FB06AD
volume	wds:Q57025967-E79A7DD8-7156-45D0-B0C5-BC4266A87448
issue	2
volume	199
DOI	wds:Q57025967-D6BF3D7F-BFC1-47B9-9C15-EDBEBD515826
DOI	http://dx.doi.org/10.1016/J.ECOLMODEL.2006.05.023
DOI	10.1016/J.ECOLMODEL.2006.05.023
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q57025967
is cites work of	Statistical analysis of multidimensional fuzzy set ordinations Components of uncertainty in species distribution analysis: a case study of the Great Grey Shrike Macrophysiology for a changing world. Mapping species distributions with MAXENT using a geographically biased sample of presence data: a performance assessment of methods for correcting sampling bias Current analogues of future climate indicate the likely response of a sensitive montane tropical avifauna to a warming world The virtual ecologist approach: simulating data and observers Forest Edge Regrowth Typologies in Southern Sweden-Relationship to Environmental Characteristics and Implications for Management Geographic disparities and moral hazards in the predicted impacts of climate change on human populations Sampling in ecology and evolution - bridging the gap between theory and practice Limitations to the Use of Species-Distribution Models for Environmental-Impact Assessments in the Amazon Applications and limitations of museum data for conservation and ecology, with particular attention to species distribution models Where is positional uncertainty a problem for species distribution modelling? The CC-Bio Project: Studying the Effects of Climate Change on Quebec Biodiversity Spatial analysis improves species distribution modelling during range expansion Equilibrium or not? Modelling potential distribution of invasive species in different stages of invasion Spatial autocorrelation in predictors reduces the impact of positional uncertainty in occurrence data on species distribution modelling Climate change, northern birds of conservation concern and matching the hotspots of habitat suitability with the reserve network Raising the bar for systematic conservation planning. Geospatial tools address emerging issues in spatial ecology: a review and commentary on the Special Issue Disturbance from pond management obscures local and regional drivers of assemblages of primary producers Inclusion of local environmental conditions alters high-latitude vegetation change predictions based on bioclimatic models Incorporating exposure to pitch canker disease to support management decisions of Pinus pinaster Ait. in the face of climate change Predicting the distribution of out-of-reach biotopes with decision trees in a Swedish marine protected area Geostatistical modelling of regional bird species richness: exploring environmental proxies for conservation purpose A practical overview of transferability in species distribution modeling Climatic-Induced Shifts in the Distribution of Teak (Tectona grandis) in Tropical Asia: Implications for Forest Management and Planning The Gray Toad-headed Agama, Phrynocephalus scutellatus, on the Iranian Plateau: The degree of niche overlap depends on the phylogenetic distance Novel theoretical insights into geomorphic process-environment relationships using simulated response curves Selecting Optimal Random Forest Predictive Models: A Case Study on Predicting the Spatial Distribution of Seabed Hardness Differences in Movement Pattern and Detectability between Males and Females Influence How Common Sampling Methods Estimate Sex Ratio. High unexpected genetic diversity of a narrow endemic terrestrial mollusc
is cites work of	wds:Q33399205-533D6B83-056E-4CA3-84E8-1C43B403A1C5 wds:Q33841473-9DFC3AD5-E096-4585-BA5B-E6F5008D40D3 wds:Q30392638-A546E471-86A7-400D-89ED-75173CAA03FB wds:Q57011932-479EC389-5331-4627-8EAF-D81DF5DB874F wds:Q57198228-8F256639-82A9-46FC-861A-4E954637A499 wds:Q57744327-1041D75E-4CED-405B-A899-8AB383AA0930 wds:Q34578241-A544C3E4-7776-4490-9F6F-A3CA98AEF65B wds:Q51184030-AD5013E4-A6A2-4207-941C-EA14FF85A4F7 wds:Q56968807-2B42FC55-821F-4847-98F0-F90D48ED1EEC wds:Q56754582-B1CAA120-5377-474F-B9B9-38BF86E223EC wds:Q58321970-B7911A3E-16EE-4A0A-802E-2B707BDE3854 wds:Q101631458-817ECA82-B5FA-4A2B-9140-F8170CD28CD0 wds:Q30818965-49A34296-ADCB-4969-8A6B-3E8F9AEEF764 wds:Q30660952-B5A4F8D8-77B3-4E10-AFC7-F56A244B7760 wds:Q31161525-108277C0-24D8-43DB-8DEB-25896675BBDF wds:Q57193867-1035C8DF-C3D5-46E9-B455-613073EAE66F wds:Q31030636-65A5F890-79B5-43B6-A325-DFCC53FD4EE2 wds:Q30631298-E9A5AC1C-1F93-41E8-87D4-4D16BE038DFE wds:Q36363853-8917E2E9-F533-47E8-B277-90CF1CDB0407 wds:Q58322072-0A34ED45-6FA8-4BA1-9190-B65BC298CAEE wds:Q46548283-6899B399-6153-461A-8584-5196530665AA wds:Q60344731-7D36CE70-E89E-4F89-9ACA-358705F49157

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