Modelling and reconstructing tree ring growth index with climate variables through artificial intelligence and statistical methods-Reference-Cited by-同舟云学术

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Modelling and reconstructing tree ring growth index with climate variables through artificial intelligence and statistical methods

Published:2022-01 Issue: Volume:134 Page:108496
ISSN:1470-160X
Container-title:Ecological Indicators
language:en
Short-container-title:Ecological Indicators

Author:

Salehnia Nasrin,Ahn Jinho

Funder

National Research Foundation of Korea

Seoul National University

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,General Decision Sciences

Reference116 articles.

1. Development of a new method of wavelet aided trend detection and estimation;Adamowski;Hydrological Processes: An International Journal,2009

2. Development of a coupled wavelet transform and neural network method for low forecasting of non-perennial rivers in semi-arid watersheds;Adamowski;J. Hydrol.,2010

3. Tree growth response to drought and temperature in a mountain landscape in northern Arizona, USA;Adams;J. Biogeogr.,2005

4. Forecasting soil temperature based on surface air temperature using a wavelet artificial neural network;Araghi;Meteorol. Appl.,2017

5. The dendrochronology of Callitris intratropica in northern Australia: annual ring structure, chronology development and climate correlations;Baker;Aust. J. Bot.,2008

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