About: Using district-level occurrences in MaxEnt for predicting the invasion potential of an exotic insect pest in India

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article by Sunil Kumar et al published April 2014 in Computers and Electronics in Agriculture

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description	wetenschappelijk artikel (nl) наукова стаття, опублікована у квітні 2014 (uk) article by Sunil Kumar et al published April 2014 in Computers and Electronics in Agriculture (en)
publication date	wds:Q56452425-671B58E4-AD8F-4AFC-B55C-730B806F2514
publication date	2014-04-01 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q56452425-951C7503-834E-46F5-A1A6-4446052993BA
language of work or name	English
cites work	wds:Q56452425-046AE216-A8A6-4496-90F6-8C3547C2AD2D wds:Q56452425-11DCC03B-25AE-4761-9175-8473498A5755 wds:Q56452425-1FD48828-0A97-4E93-B399-A3BA55867345 wds:Q56452425-25BB6215-5401-4197-AAB2-6F7A35316F91 wds:Q56452425-2D65518C-093C-4167-B70A-CBD3C25567EE wds:Q56452425-3A2C1B0B-A595-4C00-9CD8-5C7B71D62E80 wds:Q56452425-48FEA945-336B-4054-B85C-F8E3FBB16739 wds:Q56452425-62FDAB94-C9AF-4896-8F86-D5CE58622EA1 wds:Q56452425-65226C82-3661-41FF-9906-0672541A6B10 wds:Q56452425-672E4246-B488-4A27-81E1-13BBC658AB96 wds:Q56452425-6C98D3D2-6D27-4AB6-9C06-F7C2A521E52D wds:Q56452425-6D77D065-1500-4BC2-B047-5040772B30B2 wds:Q56452425-6DA067CC-879C-4126-BE16-44D04B1BEBDC wds:Q56452425-8616F4AF-2A28-4F8C-B035-6EC67817F3BB wds:Q56452425-8C9937DF-9147-453B-A6CF-E4DED5A417C8 wds:Q56452425-8DFB59FB-E885-406E-921C-175626659AB3 wds:Q56452425-92615E72-1DA9-4E21-B115-F2627C713C1D wds:Q56452425-AB0A43F4-7EB7-45A0-80EF-070A9A396B6F wds:Q56452425-B052FB80-5652-4A1B-81C7-1F0860CBE6ED wds:Q56452425-B9404E1A-C4F1-4789-A3CD-4195DA848C02 wds:Q56452425-C1D387EE-F0F6-4F12-B1DD-0E9C01283CB2 wds:Q56452425-C5F01C4E-9FF2-4573-ACBB-1D64CB75159E wds:Q56452425-CE8F8896-C447-4AED-917A-284641C65AFC wds:Q56452425-D3A5CFB4-AB05-4ED9-A4B4-397906AB5EA9 wds:Q56452425-D5E9852D-B807-4EC2-80AF-5C06C960E778 wds:Q56452425-D627E35E-1041-407A-8C22-D62C39022EFD wds:Q56452425-DD8AB0DF-F30F-4552-A249-2A7F0362F357 wds:Q56452425-DF7733E3-A4B2-4909-8150-EF2F83EFBE53 wds:Q56452425-E0FD6429-C466-4142-AC68-B76F204C2B27 wds:Q56452425-E5CD30FE-D5B1-451A-A1A3-29BDFFB8A847 wds:Q56452425-EFCA9A9A-5032-4E0E-86A1-FB99B38FE493 wds:Q56452425-F3CF7240-A9DF-4A28-8B47-F69011B4FD9F wds:Q56452425-F902961F-1897-448F-A1E2-27FE47B9B126 wds:Q56452425-FF31DFA3-4C08-47E7-964B-1F2B4EB4E8FB
cites work	Measuring the accuracy of diagnostic systems Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data ORIGINAL ARTICLE: Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar Niche shifts during the global invasion of the Asian tiger mosquito,Aedes albopictusSkuse (Culicidae), revealed by reciprocal distribution models Modelling the geographical range of a species with variable life-history The art of modelling range-shifting species A statistical explanation of MaxEnt for ecologists Selecting pseudo-absence data for presence-only distribution modeling: How far should you stray from what you know? Collinearity: a review of methods to deal with it and a simulation study evaluating their performance Very high resolution interpolated climate surfaces for global land areas Novel methods improve prediction of species’ distributions from occurrence data Effects of sample size on accuracy of species distribution models Spread of the tiger: global risk of invasion by the mosquito Aedes albopictus Modelling invasion for a habitat generalist and a specialist plant species Sensitivity of predictive species distribution models to change in grain size Forecasting Biological Invasions with Increasing International Trade Insects and low temperatures: from molecular biology to distributions and abundance Consequences of spatial autocorrelation for niche-based models The cassava mealybug (Phenacoccus manihoti) in Asia: first records, potential distribution, and an identification key. Trade, transport and trouble: managing invasive species pathways in an era of globalization Correlation and process in species distribution models: bridging a dichotomy Does including physiology improve species distribution model predictions of responses to recent climate change? Climate change could alter the distribution of mountain pine beetle outbreaks in western Canada Plumbing the depths: extending ecological niche modelling and species distribution modelling in three dimensions Risk analysis for biological hazards: what we need to know about invasive species. Characterizing and predicting species distributions across environments and scales: Argentine ant occurrences in the eye of the beholder WHAT MATTERS FOR PREDICTING THE OCCURRENCES OF TREES: TECHNIQUES, DATA, OR SPECIES' CHARACTERISTICS? Widespread infestation of the exotic mealybug species, Phenacoccus solenopsis (Tinsley) (Hemiptera: Pseudococcidae), on cotton in India. Predicting insect phenology across space and time Ecological niche and potential geographic distribution of the invasive fruit fly Bactrocera invadens (Diptera, Tephritidae). Bioclimatic thresholds, thermal constants and survival of mealybug, Phenacoccus solenopsis (hemiptera: pseudococcidae) in response to constant temperatures on hibiscus. Effect of temperature on the life history of the mealybug Paracoccus marginatus (Hemiptera: Pseudococcidae). Effect of temperature on the development and fecundity of the Cryptic Mealybug, Pseudococcus cryptus, in the laboratory Niches and interspecific competitive relationships of the parasitoids, Microplitis prodeniae and Campoletis chlorldeae, of the Oriental leafworm moth, Spodoptera litura, in tobacco
author name string	wds:Q56452425-24C79202-86C9-498D-A160-10F45F44CC08 wds:Q56452425-2F3C5622-2B21-48B8-9E5B-28B510FEFA45 wds:Q56452425-C4922FA0-1482-4848-893D-4EF398955C5D wds:Q56452425-EF2C5E2B-CDF9-430B-BEA6-6C1D1C25EE4C
author name string	Sunil Kumar Jim Graham Amanda M. West Paul H. Evangelista
rdfs:label	Using district-level occurrences in MaxEnt for predicting the invasion potential of an exotic insect pest in India (en) Using district-level occurrences in MaxEnt for predicting the invasion potential of an exotic insect pest in India (nl)
skos:prefLabel	Using district-level occurrences in MaxEnt for predicting the invasion potential of an exotic insect pest in India (en) Using district-level occurrences in MaxEnt for predicting the invasion potential of an exotic insect pest in India (nl)
name	Using district-level occurrences in MaxEnt for predicting the invasion potential of an exotic insect pest in India (en) Using district-level occurrences in MaxEnt for predicting the invasion potential of an exotic insect pest in India (nl)
title	wds:Q56452425-50485179-3FAC-4330-85EF-D9103E39CA6F
title	Using district-level occurrences in MaxEnt for predicting the invasion potential of an exotic insect pest in India (en)
page(s)	wds:Q56452425-7D6892B0-E9F6-4685-8196-A8EE98CCC49B
page(s)	55-62
instance of	wds:Q56452425-6821DFE6-2016-49E6-8318-5BEB76375409
instance of	scholarly article
main subject	wds:Q56452425-1C7A5E48-0A19-4164-925F-41B6E9BB2515 wds:Q56452425-4A7EA92D-1432-4F38-A037-42B8A6AF1190 wds:Q56452425-82B29AC0-8756-4385-9CA6-A2475451D59C wds:Q56452425-84D276F1-CEE1-4750-A0F0-E959814A0DC1

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