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基于异速生长模型的方法估算印度喜马拉雅山麓西部 7 种竹种的生物量。

An allometric model-based approach for estimating biomass in seven Indian bamboo species in western Himalayan foothills, India.

机构信息

ICAR-Indian Institute of Soil and Water Conservation, 218, Kaulagarh Road, Dehradun, 248 195, India.

G.B. Pant University of Agriculture and Technology, Pantnagar, India.

出版信息

Sci Rep. 2022 May 9;12(1):7527. doi: 10.1038/s41598-022-11394-3.

DOI:10.1038/s41598-022-11394-3
PMID:35534634
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9085753/
Abstract

The rapid growth rate, high biomass production, and annual harvesting make bamboo a suitable species for commercial production. Allometric equations for many broadleaf and conifer tree species are available. However, knowledge of biomass production and allometric equations of bamboos is limited. This study aims to develop species- specific allometric models for predicting biomass and synthetic height values as a proxy variable for seven bamboo species in Himalayan foothills. Two power form-based allometric models were used to predict aboveground and culm biomass using diameter at breast height (D) alone and D combined with culm height (H) as an independent variable. This study also extended to establishing an H-D allometric model that can be used to generate synthetic H values as a proxy to missing H. In the seven bamboo species studied, among three major biomass components (culm, branch and foliage), culm is the most important component with the highest share (69.56-78.71%). The distribution of percentage (%) share of culm, branch and foliage to above-ground fresh weight varies significantly between different bamboo species. D. hamiltonii has the highest productivity for above-ground biomass components. Ratio of dry to fresh weight of seven bamboo species was estimated for culm, branch, foliage and above-ground biomass to convert fresh weight to dry weight.

摘要

竹子生长迅速、生物量大且可每年收获,是适合商业生产的物种。已有多种阔叶树和针叶树的种间异速生长方程。然而,竹子的生物量生产和种间异速生长方程的知识有限。本研究旨在为喜马拉雅山麓的 7 种竹子建立种特异性的异速生长模型,以预测生物量和综合高度值作为替代变量。本研究使用了两种基于幂函数的异速生长模型,仅使用胸径 (D) 或 D 与竹高 (H) 作为独立变量来预测地上和秆生物量。本研究还扩展到建立一个 H-D 异速生长模型,可用于生成综合 H 值作为缺失 H 的替代值。在所研究的 7 种竹子中,在 3 个主要生物量成分(秆、枝和叶)中,秆是最重要的成分,占比最高(69.56-78.71%)。不同竹子物种之间,秆、枝和叶的地上鲜重百分比分布差异显著。D. hamiltonii 具有最高的地上生物量成分生产力。对 7 种竹子的秆、枝、叶和地上生物量的干重与鲜重比进行了估计,以将鲜重转换为干重。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/157b/9085753/3e8e235cea24/41598_2022_11394_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/157b/9085753/cd96dc938ea9/41598_2022_11394_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/157b/9085753/86a39d3e9be8/41598_2022_11394_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/157b/9085753/148205a22ab0/41598_2022_11394_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/157b/9085753/3e8e235cea24/41598_2022_11394_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/157b/9085753/cd96dc938ea9/41598_2022_11394_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/157b/9085753/86a39d3e9be8/41598_2022_11394_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/157b/9085753/148205a22ab0/41598_2022_11394_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/157b/9085753/3e8e235cea24/41598_2022_11394_Fig4_HTML.jpg

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本文引用的文献

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Carbon storage and sequestration potential in aboveground biomass of bamboos in North East India.东北印度竹子地上生物量的碳储存和固碳潜力。
Sci Rep. 2021 Jan 12;11(1):837. doi: 10.1038/s41598-020-80887-w.
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Rooting behaviour and soil properties in different bamboo species of Western Himalayan Foothills, India.印度西喜马拉雅山麓不同竹种的根系行为和土壤特性。
Sci Rep. 2020 Mar 18;10(1):4966. doi: 10.1038/s41598-020-61418-z.
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Culm height development, biomass accumulation and carbon storage in an initial growth stage for a fast-growing moso bamboo (Phyllostachy pubescens).
速生毛竹(Phyllostachy pubescens)初始生长阶段的秆高生长、生物量积累及碳储存
Bot Stud. 2016 Dec;57(1):10. doi: 10.1186/s40529-016-0126-x. Epub 2016 Apr 28.
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