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Biomass regression models of individual tree.xlsx

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Figshare2025-09-03 更新2026-04-08 收录
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### Data 1: Description of the file "Biomass regression models of individual tree.xlsx"<br>This file mainly focuses on the biomass regression models of individual trees. It contains data related to the measured values of leaf, branch, and trunk biomass of different individual trees, as well as the regression models constructed based on this data. The data also involves the measured and estimated values of tree height, diameter at breast height (DBH), and crown width. Regression models are built based on these data to predict biomass using easily measurable tree characteristics.<br><br>### Data 2: Description of the file "Nanfeng - Biomass regression models of first order branch.xlsx"<br>This file mainly presents the biomass regression models for the first - order branches of Nanfeng tangerines. Taking the first - order branches as the research object, it includes the length and diameter of different levels of sub - branches under the first - order branches, as well as the corresponding biomass data. Regression models are constructed based on these data.<br><br>### Data 3: Description of the file "Ponkan - Biomass regression models of first order branch.xlsx"<br>This file mainly provides the biomass regression models for the first - order branches of Ponkan mandarins. Focusing on the first - order branches, it contains the length and diameter of different levels of sub - branches under the first - order branches and the corresponding biomass data. Regression models are established based on these data.

### 数据1:文件"单木生物量回归模型.xlsx"说明<br>该文件主要围绕单木生物量回归模型展开,收录了不同单木的叶片、枝条、树干生物量实测值相关数据,以及基于该数据构建的回归模型。数据集同时包含树高、胸径(DBH)、冠幅的实测与估算值。研究人员基于上述数据构建回归模型,通过林木易测特征实现生物量预测。<br><br>### 数据2:文件"南丰蜜橘一级枝生物量回归模型.xlsx"说明<br>该文件主要展示南丰蜜橘一级枝的生物量回归模型。以一级枝为研究对象,数据集包含一级枝下不同层级次级枝条的长度、直径,以及对应生物量数据,并基于上述数据构建了回归模型。<br><br>### 数据3:文件"椪柑一级枝生物量回归模型.xlsx"说明<br>该文件主要提供椪柑一级枝的生物量回归模型。以一级枝为研究核心,数据集收录了一级枝下不同层级次级枝条的长度、直径及对应生物量数据,并基于上述数据构建了回归模型。

提供机构:
Mei, Li
创建时间:
2025-09-03
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