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ZENODO
Dataset . 2014
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2014
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2014
License: CC BY
Data sources: ZENODO
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Supplementary Material 1 From: Motloung R, Robertson M, Rouget M, Wilson J (2014) Forestry Trial Data Can Be Used To Evaluate Climate-Based Species Distribution Models In Predicting Tree Invasions. Neobiota 20: 31-48. Https://Doi.Org/10.3897/Neobiota.20.5778

Authors: Motloung, Rethabile; Robertson, Mark; Rouget, Mathieu; Wilson, John;

Supplementary Material 1 From: Motloung R, Robertson M, Rouget M, Wilson J (2014) Forestry Trial Data Can Be Used To Evaluate Climate-Based Species Distribution Models In Predicting Tree Invasions. Neobiota 20: 31-48. Https://Doi.Org/10.3897/Neobiota.20.5778

Abstract

Current and potential distributions of sixteen species that are not widespread in southern Africa arranged on the basis of their suitable range size : a) Acacia paradoxa, b) A. cultriformis, c) A. falciformis, d) A. pendula, e) A. rubida, f) A. stricta, g) A. retinodes, h) A. fimbriata, i) A. aneura, j) A. viscidula, k) A. acuminata, l) A. adunca, m) A. binervata, n) A. schinoides, o) A. prominens, p) A. mangium. The grey shading indicates areas that SDMs have identified as suitable by SDMs while the white ones are unsuitable.

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Keywords

Southern African Plant Invaders Atlas, model evaluation, alien trees, invasions, forestry, Species distribution models, Australian acacias, classification tree

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