A model of cross-sectional growth of Cunninghamia lanceolata plantation in Hunan province with climate effects

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2022-04-11 DOI:10.24294/sf.v5i1.1618

Zhan Qi, Guangyu Zhu, Bingbing Yu, Hongna Liu, Yong Lv

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引用次数: 0

Abstract

Objective: The influence of climate on forest stands cannot be ignored, but most of the previous forest stand growth models were constructed under the presumption of invariant climate and could not estimate the stand growth under climate change. The model was constructed to provide a theoretical basis for forest operators to take reasonable management measures for fir under the influence of climate. Methods: Based on the survey data of 638 cedar plantation plots in Hunan Province, the optimal base model was selected from four biologically significant alternative stand basal area models, and the significant climate factors without serious covariance were selected by multiple stepwise regression analysis. The optimal form of random effects was determined, and then a model with climatic effects was constructed for the cross-sectional growth of fir plantations. Results: Richards formula is the optimal form of the basic model of stand basal area growth. The coefficient of adjustment was 0.8355; the average summer maximum temperature and the water vapor loss in Hargreaves climate affected the maximum and rate of fir stand stand growth respectively, and were negatively correlated with the stand growth. The adjusted coefficient of determination of the fir stand area break model with climate effects was 0.8921, the root mean square error (RMSE) was 3.0792, and the mean relative error absolute value (MARE) was 9.9011; compared with the optimal base model, improved by 6.77%, RMSE decreased by 19.04%, and MARE decreased by 15.95%. Conclusion: The construction of the stand cross-sectional area model with climate effects indicates that climate has a significant influence on stand growth, which supports the rationality of considering climate factors in the growth model, and it is important for the regional stand growth harvest and management of cedar while improving the accuracy and applicability of the model.

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气候影响下湖南杉木人工林横截面生长模式

目的:气候对林分生长的影响不容忽视，但以往的林分生长模型大多是在假定气候不变的情况下构建的，无法对气候变化下的林分生长进行估算。建立模型，为森林经营者在气候影响下对冷杉采取合理的管理措施提供理论依据。方法:基于湖南省638个杉木人工林样地的调查数据，从4个具有生物显著性的备选林分基面积模型中选择最优的基础模型，并采用多元逐步回归分析方法选择无严重协方差的显著气候因子。确定了随机效应的最优形式，并在此基础上建立了冷杉人工林横截面生长的气候效应模型。结果:Richards公式是林分基面积生长基本模型的最优形式。调整系数为0.8355;夏季平均最高气温和哈格里夫斯气候的水汽损失量分别影响冷杉林分生长最大值和生长速率，且与林分生长呈负相关。考虑气候影响的杉木林分断裂模型的校正决定系数为0.8921，均方根误差(RMSE)为3.0792，平均相对误差绝对值(MARE)为9.9011;与最优基础模型相比，改进了6.77%，RMSE降低了19.04%，MARE降低了15.95%。结论:考虑气候影响的林分横截面积模型的构建表明，气候对林分生长有显著影响，支持了生长模型中考虑气候因素的合理性，在提高模型准确性和适用性的同时，对杉木区域林分生长收获和管理具有重要意义。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.