Improving 3-PG calibration and parameterization using artificial neural networks-Reference-Cited by-同舟云学术

Improving 3-PG calibration and parameterization using artificial neural networks

Published:2023-05 Issue: Volume:479 Page:110301
ISSN:0304-3800
Container-title:Ecological Modelling
language:en
Short-container-title:Ecological Modelling

Author:

Silva Gabriela Cristina Costa^ORCID,Neves Júlio César Lima,Marcatti Gustavo Eduardo,Soares Carlos Pedro Boechat,Calegario Natalino,Júnior Carlos Alberto Araújo,Gonzáles Duberlí Geomar Elera,Gleriani José Marinaldo,Binoti Daniel Henrique Breda,de Paiva Haroldo Nogueira,Leite Helio Garcia

Publisher

Elsevier BV

Subject

Ecological Modeling

Reference53 articles.

1. Parameterisation of 3-PG model for fast-growing Eucalyptus grandis plantations;Almeida;For. Ecol. Manag.,2004

2. The impact of climate changes on Eucalyptus productivity in Northern Espítito Santo and Southern Bahia;Baesso;Ciênc. Florest.,2010

3. Estimation of tree heights in an uneven-aged, mixed forest in northern iran using artificial intelligence and empirical models;Bayat;Forests,2020

4. Eucalyptus plantations and the steel industry in Amazonia: a contribution from the 3-pg model;Behling;Bois For. Trop.,2011

5. Variation in whole-rotation yield among Eucalyptus genotypes in response to water and heat stresses: the TECHS project;Binkley;For. Ecol. Manag.,2020

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Use of artificial neural networks with the physiological principles to predict growth model;Engineering Applications of Artificial Intelligence;2024-10

2. Tree-ring based forest model calibrations with a deep learning algorithm;Forest Ecology and Management;2024-10