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一种估算立木年高生长量的新型无损检测方法。

A new non-destructive method for the estimation of annual height increment in standing trees.

作者信息

Ganatsas Petros, Petaloudi Lydia, Tsakaldimi Marianthi

机构信息

Laboratory of Silviculture, Faculty of Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki 54 124, Greece.

出版信息

MethodsX. 2023 Mar 12;10:102131. doi: 10.1016/j.mex.2023.102131. eCollection 2023.

DOI:10.1016/j.mex.2023.102131
PMID:36970020
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10033736/
Abstract

Measurement of tree growth is needed in many scientific and production sectors, especially in forestry for wood and biomass production. The assessment of annual height increment in standing living trees, under ambient field conditions, is challenging or even impossible. This study develops a new simple non-destructive method for the estimation of annual height increment in standing trees, based on sampling two increment cores for each targeted tree.,. Τhe method combines the tree annual ring-analysis and trigonometry. The extracted data by the method application can be widely used in many forest disciplines, such as forest ecology, silviculture, and forest management.•Annual height increment in standing trees is a valuable parameter needed in biology, ecology, and forestry.•Measurement of annual height increment in standing trees is a very difficult tusk.•This study develops a new non-destructive and simple method for the estimation of annual height increment in standing trees.

摘要

许多科学和生产领域都需要测量树木生长情况,尤其是在以木材和生物质生产为目的的林业中。在自然野外条件下,评估立木的年高生长量具有挑战性,甚至是不可能的。本研究基于为每棵目标树采集两个生长芯样,开发了一种新的简单无损方法来估算立木的年高生长量。该方法将树木年轮分析与三角学相结合。通过该方法应用提取的数据可广泛应用于许多森林学科,如森林生态学、造林学和森林管理学。•立木的年高生长量是生物学、生态学和林业所需的一个重要参数。•测量立木的年高生长量是一项非常艰巨的任务。•本研究开发了一种新的无损且简单的方法来估算立木的年高生长量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ab7/10033736/f5531051a5d8/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ab7/10033736/4f7d26a2a47f/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ab7/10033736/f5531051a5d8/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ab7/10033736/4f7d26a2a47f/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ab7/10033736/f5531051a5d8/gr1.jpg

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本文引用的文献

1
Predicting tree biomass growth in the temperate-boreal ecotone: Is tree size, age, competition, or climate response most important?预测温带-寒温带交错带树木生物量增长:树木大小、年龄、竞争还是气候响应最为重要?
Glob Chang Biol. 2016 Jun;22(6):2138-51. doi: 10.1111/gcb.13208. Epub 2016 Mar 3.
2
Detecting trends in tree growth: not so simple.检测树木生长趋势:并非易事。
Trends Plant Sci. 2013 Jan;18(1):11-7. doi: 10.1016/j.tplants.2012.08.005. Epub 2012 Sep 6.