Predicting the Potential Suitable Climate for Coconut (Cocos nucifera L.) Cultivation in India under Climate Change Scenarios Using the MaxEnt Model
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Title
Predicting the Potential Suitable Climate for Coconut (Cocos nucifera L.) Cultivation in India under Climate Change Scenarios Using the MaxEnt Model
Authors
Keywords
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Journal
Plants-Basel
Volume 11, Issue 6, Pages 731
Publisher
MDPI AG
Online
2022-03-10
DOI
10.3390/plants11060731
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- (2015) K. B. Hebbar et al. CURRENT SCIENCE
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- Major determinants of fruit set and yield fluctuation in coconut (Cocos nucifera L.)
- (2015) CS Ranasinghe et al. JOURNAL OF THE NATIONAL SCIENCE FOUNDATION OF SRI LANKA
- On the selection of thresholds for predicting species occurrence with presence-only data
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- Temperature drives global patterns in forest biomass distribution in leaves, stems, and roots
- (2014) P. B. Reich et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
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- A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter
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