(Q46032410)

18 December 2017

title

Combining local- and large-scale models to predict the distributions of invasive plant species. (English)

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18 December 2017

species distribution model

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3

Charles B Halpern

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18 December 2017

author name string

Chad C Jones

series ordinal

1

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18 December 2017

Steven A Acker

series ordinal

2

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18 December 2017

language of work or name

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1 March 2010

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18 December 2017

number of pages

16

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based on heuristic

inferred from page(s)

published in

Ecological Applications

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18 December 2017

volume

20

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18 December 2017

issue

2

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18 December 2017

page(s)

311-326

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18 December 2017

maintained by WikiProject

WikiProject Invasion Biology

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cites work

Ensemble forecasting of species distributions

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Climate and the distribution ofFallopia japonica: use of an introduced species to test the predictive capacity of response surfaces

21 January 2018

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Application of common predictive habitat techniques for post-border weed risk management

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Modelling invasion for a habitat generalist and a specialist plant species

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21 January 2018

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21 January 2018

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21 January 2018

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21 January 2018

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21 January 2018

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Predicting invasion dynamics of four alien Pinus species in a highly fragmented semi-arid shrubland in South Africa

21 January 2018

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Spread and current potential distribution of an alien grass, Eragrostis lehmanniana Nees, in the southwestern USA: comparing historical data and ecological niche models

21 January 2018

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Potential Changes in the Distributions of Western North America Tree and Shrub Taxa under Future Climate Scenarios

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Niche-based modelling as a tool for predicting the risk of alien plant invasions at a global scale

21 January 2018

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Geranium robertianumL

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Predicting patterns of non-native plant invasions in Yosemite National Park, California, USA

21 January 2018

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Constraints in range predictions of invasive plant species due to non-equilibrium distribution patterns: Purple loosestrife (Lythrum salicaria) in North America

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Quantifying Threats to Imperiled Species in the United States

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Novel methods improve prediction of species’ distributions from occurrence data

21 January 2018

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21 January 2018

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21 January 2018

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21 January 2018

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Modelling species distributions in Britain: a hierarchical integration of climate and land-cover data

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21 January 2018

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21 January 2018

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21 January 2018

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21 January 2018

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VEGETATION-INDEX MODELS PREDICT AREAS VULNERABLE TO PURPLE LOOSESTRIFE (LYTHRUM SALICARIA) INVASION IN KANSAS

21 January 2018

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The biogeography of prediction error: why does the introduced range of the fire ant over-predict its native range?

21 January 2018

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Evaluating presence-absence models in ecology: the need to account for prevalence

21 January 2018

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ORIGINAL ARTICLE: Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar

21 January 2018

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PREDICTING SPECIES' GEOGRAPHIC DISTRIBUTIONS BASED ON ECOLOGICAL NICHE MODELING

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Effects of sample size on accuracy of species distribution models

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21 January 2018

Identifiers

DOI

10.1890/08-2261.1

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18 December 2017

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18 December 2017