PREDICTING SPATIAL DISTRIBUTION OF WORLD’S WORST INVASIVE PLANT SPECIES WITH MAXIMUM ENTROPY MODELS FOR INVASIVE PLANT SPECIES CONTROL AND BIODIVERSITY CONSERVATION

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Bibliographic Details
Main Author:	WANG YANG
Other Authors:	BIOLOGICAL SCIENCES
Published:	2022
Subjects:	Invasive plant species, Species distribution modelling, Maximum entropy, Environmental suitability, Climate change, Cross-border cooperation,
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/216513
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-216513
record_format	dspace
spelling	sg-nus-scholar.10635-2165132022-02-28T18:00:41Z PREDICTING SPATIAL DISTRIBUTION OF WORLD’S WORST INVASIVE PLANT SPECIES WITH MAXIMUM ENTROPY MODELS FOR INVASIVE PLANT SPECIES CONTROL AND BIODIVERSITY CONSERVATION WANG YANG BIOLOGICAL SCIENCES Yeo Chong Jinn, Darren EDWARD L.WEBB Invasive plant species, Species distribution modelling, Maximum entropy, Environmental suitability, Climate change, Cross-border cooperation, Master's MASTER OF SCIENCE (RSH-FOS) 2022-02-28T18:00:41Z 2022-02-28T18:00:41Z 2021-07-27 WANG YANG (2021-07-27). PREDICTING SPATIAL DISTRIBUTION OF WORLD’S WORST INVASIVE PLANT SPECIES WITH MAXIMUM ENTROPY MODELS FOR INVASIVE PLANT SPECIES CONTROL AND BIODIVERSITY CONSERVATION. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/216513
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Invasive plant species, Species distribution modelling, Maximum entropy, Environmental suitability, Climate change, Cross-border cooperation,
spellingShingle	Invasive plant species, Species distribution modelling, Maximum entropy, Environmental suitability, Climate change, Cross-border cooperation, WANG YANG PREDICTING SPATIAL DISTRIBUTION OF WORLD’S WORST INVASIVE PLANT SPECIES WITH MAXIMUM ENTROPY MODELS FOR INVASIVE PLANT SPECIES CONTROL AND BIODIVERSITY CONSERVATION
description	Master's
author2	BIOLOGICAL SCIENCES
author_facet	BIOLOGICAL SCIENCES WANG YANG
author	WANG YANG
author_sort	WANG YANG
title	PREDICTING SPATIAL DISTRIBUTION OF WORLD’S WORST INVASIVE PLANT SPECIES WITH MAXIMUM ENTROPY MODELS FOR INVASIVE PLANT SPECIES CONTROL AND BIODIVERSITY CONSERVATION
title_short	PREDICTING SPATIAL DISTRIBUTION OF WORLD’S WORST INVASIVE PLANT SPECIES WITH MAXIMUM ENTROPY MODELS FOR INVASIVE PLANT SPECIES CONTROL AND BIODIVERSITY CONSERVATION
title_full	PREDICTING SPATIAL DISTRIBUTION OF WORLD’S WORST INVASIVE PLANT SPECIES WITH MAXIMUM ENTROPY MODELS FOR INVASIVE PLANT SPECIES CONTROL AND BIODIVERSITY CONSERVATION
title_fullStr	PREDICTING SPATIAL DISTRIBUTION OF WORLD’S WORST INVASIVE PLANT SPECIES WITH MAXIMUM ENTROPY MODELS FOR INVASIVE PLANT SPECIES CONTROL AND BIODIVERSITY CONSERVATION
title_full_unstemmed	PREDICTING SPATIAL DISTRIBUTION OF WORLD’S WORST INVASIVE PLANT SPECIES WITH MAXIMUM ENTROPY MODELS FOR INVASIVE PLANT SPECIES CONTROL AND BIODIVERSITY CONSERVATION
title_sort	predicting spatial distribution of world’s worst invasive plant species with maximum entropy models for invasive plant species control and biodiversity conservation
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/216513
_version_	1726885487665217536

PREDICTING SPATIAL DISTRIBUTION OF WORLD’S WORST INVASIVE PLANT SPECIES WITH MAXIMUM ENTROPY MODELS FOR INVASIVE PLANT SPECIES CONTROL AND BIODIVERSITY CONSERVATION

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