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A Web‐Based Integrated Modeling and Simulation Method for Forest Growth Research.

Authors :
Ma, Zaiyang
Chen, Min
Zhang, Beichen
Wang, Ming
Shen, Chaoran
Yue, Songshan
Wen, Yongning
Lü, Guonian
Source :
Earth & Space Science; Nov2019, Vol. 6 Issue 11, p2142-2159, 18p
Publication Year :
2019

Abstract

To facilitate forest research, simulations of the whole forest growth process can be employed to analyze forest dynamics and predict forest yields. Different forest growth models can be integrated for comprehensive process simulation and thus can assist forest growth research. With the development of network technologies, a web environment can provide cross‐platform capability and wide availability for distributed researchers. In order to serve the simulation of complex forest growth processes and help online forest growth research, this article proposes a web‐based integrated modeling and simulation method for forest growth research. The proposed method includes three steps, namely, model preparation, model integration, and forest growth simulation. The corresponding implementation strategies are designed to prepare forest growth models, integrate different models, preprocess model data, and implement forest growth simulations for integrated modeling and simulations via the web. Two applications in the comprehensive prediction of forest growth and comparison of different forest management decisions are introduced to verify the feasibility and capability of the proposed method. The results show that the proposed web‐based integrated modeling and simulation method can be used conveniently for comprehensive simulations of forest growth research. Key Points: Heterogeneous forest growth models can be prepared for web‐based integrated modelingDifferent models can be integrated for comprehensive forest growth simulations via the webThe data preprocessing that can promote forest simulation is realized in the web environment [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23335084
Volume :
6
Issue :
11
Database :
Complementary Index
Journal :
Earth & Space Science
Publication Type :
Academic Journal
Accession number :
140853718
Full Text :
https://doi.org/10.1029/2019EA000748