ZhangChuGeEtAl2008

Référence

Zhang, J., Chu, Z., Ge, Y., Zhou, X., Jiang, H., Chang, J., Peng, C., Zheng, J., Jiang, B., Zhu, J. and Yu, S. (2008) TRIPLEX model testing and application for predicting forest growth and biomass production in the subtropical forest zone of China's Zhejiang Province. Ecological Modelling, 219(3-4):264-275. (Scopus )

Résumé

This study has analyzed TRIPLEX1.0 by applying the model to the subtropical forest regions in Zhejiang Province, southeastern China. The main objective was to test the process-based hybrid model TRIPLEX1.0 in simulating density, tree height (H), diameter at breast height (DBH), litter pool and biomass using forest growth and yield data collected from three forest types: subtropical evergreen broad-leaved, coniferous broad-leaved mixed and warm temperate pine (Pinus massoniana Lamb.) forests. The results show that simulated density, H, DBH, litter pool, aboveground and total biomass are consistent with observed data collected through Zhejiang Province, suggesting that the TRIPLEX1.0 model is capable in simulating forest growth and biomass dynamics of subtropical forest ecosystems. The coefficient of determination (r 2) between simulated values and yield measurements show a 0.91 variability for density, 0.86 for DBH, 0.83 for H, 0.89 for aboveground biomass and 0.91 for total biomass (except for litter pool that showed a 0.54 variability). The independent validations obtained by utilizing TRIPLEX1.0 demonstrate that the model offers competency while providing confidence when applying its ability to extrapolate outcomes at regional scales and its ability to withstand rigorous testing for simulating carbon storage in subtropical forest ecosystems. © 2008 Elsevier B.V. All rights reserved.

Format EndNote

Vous pouvez importer cette référence dans EndNote.

Format BibTeX-CSV

Vous pouvez importer cette référence en format BibTeX-CSV.

Format BibTeX

Vous pouvez copier l'entrée BibTeX de cette référence ci-bas, ou l'importer directement dans un logiciel tel que JabRef .

@ARTICLE { ZhangChuGeEtAl2008,
    AUTHOR = { Zhang, J. and Chu, Z. and Ge, Y. and Zhou, X. and Jiang, H. and Chang, J. and Peng, C. and Zheng, J. and Jiang, B. and Zhu, J. and Yu, S. },
    TITLE = { TRIPLEX model testing and application for predicting forest growth and biomass production in the subtropical forest zone of China's Zhejiang Province },
    JOURNAL = { Ecological Modelling },
    YEAR = { 2008 },
    VOLUME = { 219 },
    PAGES = { 264-275 },
    NUMBER = { 3-4 },
    ABSTRACT = { This study has analyzed TRIPLEX1.0 by applying the model to the subtropical forest regions in Zhejiang Province, southeastern China. The main objective was to test the process-based hybrid model TRIPLEX1.0 in simulating density, tree height (H), diameter at breast height (DBH), litter pool and biomass using forest growth and yield data collected from three forest types: subtropical evergreen broad-leaved, coniferous broad-leaved mixed and warm temperate pine (Pinus massoniana Lamb.) forests. The results show that simulated density, H, DBH, litter pool, aboveground and total biomass are consistent with observed data collected through Zhejiang Province, suggesting that the TRIPLEX1.0 model is capable in simulating forest growth and biomass dynamics of subtropical forest ecosystems. The coefficient of determination (r 2) between simulated values and yield measurements show a 0.91 variability for density, 0.86 for DBH, 0.83 for H, 0.89 for aboveground biomass and 0.91 for total biomass (except for litter pool that showed a 0.54 variability). The independent validations obtained by utilizing TRIPLEX1.0 demonstrate that the model offers competency while providing confidence when applying its ability to extrapolate outcomes at regional scales and its ability to withstand rigorous testing for simulating carbon storage in subtropical forest ecosystems. © 2008 Elsevier B.V. All rights reserved. },
    COMMENT = { Cited By (since 1996): 4 Export Date: 14 May 2012 Source: Scopus CODEN: ECMOD doi: 10.1016/j.ecolmodel.2008.07.016 },
    ISSN = { 03043800 (ISSN) },
    KEYWORDS = { Biomass, Forest ecosystem, Litter pool, Model validation, NPP, Simulation, Ability testing, Biological materials, Biomass, Ecosystems, Forestry, Lakes, Renewable energy resources, Trees (mathematics), Tropics, Forest ecosystem, Litter pool, Model validation, NPP, Simulation, Ecology, biomass, coniferous forest, evergreen forest, forest dynamics, forest ecosystem, mixed forest, model test, model validation, net primary production, prediction, subtropical region, yield response, Biomass, Data Processing, Ecosystems, Forestation, Forests, Pinus Massoniana, Simulation, Asia, China, Eurasia, Far East, Zhejiang, Pinus massoniana },
    OWNER = { Luc },
    TIMESTAMP = { 2012.05.14 },
    URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-55249105660&partnerID=40&md5=61576c5bbe2bccd1298ef46ccc87244e },
}

********************************************************** ***************** Facebook Twitter *********************** **********************************************************

Abonnez-vous à
l'Infolettre du CEF!

********************************************************** ************* Écoles d'été et formation **************************** **********************************************************

Écoles d'été et formations

********************************************************** ***************** Pub - Symphonies_Boreales ****************** **********************************************************

********************************************************** ***************** Boîte à trucs *************** **********************************************************

CEF-Référence
La référence vedette !

Jérémie Alluard (2016) Les statistiques au moments de la rédaction 

  • Ce document a pour but de guider les étudiants à intégrer de manière appropriée une analyse statistique dans leur rapport de recherche.

Voir les autres...