Effects of Forest Management and Drought Disturbance on Forest Net Primary Productivity in Three Northeastern Provinces from 2000 to 2022

Li Qianqian; Yang Yanrong; Zhang Wenyi; Zhang Leying; Hu Cheng

doi:10.13961/j.cnki.stbctb.2024.06.032

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Effects of Forest Management and Drought Disturbance on Forest Net Primary Productivity in Three Northeastern Provinces from 2000 to 2022

- Effects of Forest Management and Drought Disturbance on Forest Net Primary Productivity in Three Northeastern Provinces from 2000 to 2022
- Bulletin of Soiland Water Conservation Vol. 44, Issue 6, Pages: 308-317(2024)
- 作者机构：
  
  1. 南京林业大学南京现代林业协同创新中心,江苏,南京,210037
  2. 南京林业大学生态与环境学院,江苏,南京,210037
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2024.06.032
  CLC： Q948;S718.5
- Published：2024
- 稿件说明：
移动端阅览
Li Qianqian, Yang Yanrong, Zhang Wenyi, et al. Effects of Forest Management and Drought Disturbance on Forest Net Primary Productivity in Three Northeastern Provinces from 2000 to 2022[J]. Bulletin of Soiland Water Conservation, 2024, 44(6): 308-317.
DOI：

Li Qianqian, Yang Yanrong, Zhang Wenyi, et al. Effects of Forest Management and Drought Disturbance on Forest Net Primary Productivity in Three Northeastern Provinces from 2000 to 2022[J]. Bulletin of Soiland Water Conservation, 2024, 44(6): 308-317. DOI： 10.13961/j.cnki.stbctb.2024.06.032.

摘要

[目的] 对比分析黑龙江、吉林、辽宁东北三省天然林区在森林经营和干旱干扰下森林净初级生产力(net primary productivity，NPP)的数值变化，为中国东北地区天然林应对气候变化、实现森林可持续经营提供科学支持。[方法] 基于东北三省2000—2022年森林NPP遥感数据以及土地利用数据，结合植被转移矩阵，获得森林经营策略下东北三省的森林NPP净增量；利用2000—2022年标准化降水蒸散发指数(standardized precipitation evapotranspiration index，SPEI)，结合NPP异常指数和Pearson相关性分析等方法，定量分析重度干旱对东北三省森林NPP的影响。[结果] ①2000—2022年，东北三省森林NPP以1.54%的年均增长率变化，NPP的空间分布差异明显。林区Ⅲ的NPP均值最高，林区Ⅰ，Ⅱ的NPP增长趋势更显著。23 a来，东北三省干旱有所缓解，重度干旱区从2000—2002年的大片偏西区域逐渐缩小、北移到2008年的黑龙江西北区域。②随着森林经营的持续，东北三省林区23 a来森林面积增加以及低NPP植被向高NPP植被转化是该地森林NPP增长的重要原因，二者合计使该地森林NPP增加了15.20 Tg (以C计)，其中落叶阔叶林面积增加占比最高，达43.29%。③东北三省森林NPP与SPEI总体呈极显著正相关(R=0.60，p<0.01)；并在林区Ⅰ(R=0.57)，Ⅱ(R=0.79)也表现为极显著正相关(p<0.01)，这两处森林NPP随着干旱下降。重度干旱使东北三省森林NPP在23 a间下降了11.09 Tg。[结论] 气候变化下的干旱干扰和森林经营同时对东北三省森林NPP产生负向、正向影响，但后者大于前者，森林NPP增加。其中，大、小兴安岭林区对干旱的敏感性远高于长白山林区。

Abstract

[Objective] The changes in net primary productivity (NPP) under forest management and drought disturbance in natural forest areas of Heilongjiang

Jilin

and Liaoning provinces were compared and analyzed

in order to provide scientific support for responding to climate change and achieving sustainable forest management in Northeast China. [Methods] Based on the forest NPP remote-sensing data and land use data of the three northeastern provinces from 2000 to 2022

combined with the vegetation transfer matrix

the net increment of forest NPP under the forest management strategy was obtained. In addition

based on the standardized precipitation evapotranspiration index (SPEI) from 2000 to 2022

combined with the NPP anomaly index and Pearson correlation analysis

quantitative analysis of the effects of severe drought on forest NPP in three provinces of Northeast China was conducted. [Results] ① The average annual growth rate of forest NPP in the three northeastern provinces from 2000 to 2022 was 1.54%

and the spatial distribution of NPP varied significantly. The NPP average of forest area Ⅲ was the highest

and the NPP growth trend of forest areas Ⅰ and Ⅱ was more significant. Over the past 23 years

drought in the three northeastern provinces had been mitigated

and the area of severe drought zone had gradually shrunk from a large area in the west during 2000—2002 and moved north to the northwest of Heilongjiang Province in 2008. ② As forest management continues

the increase of forest area and the conversion of low NPP vegetation to high NPP vegetation over the past 23 years in the forested areas of the three northeastern provinces were the important reasons for the growth of forest NPP at the site by 15.20 Tg (calculated by carbon)

with the highest percentage of increase in the area of deciduous broadleaved forests

which amounted to 43.29%. ③ Forest NPP and SPEI for the three northeastern provinces showed a significant positive correlation (R=0.60

p<0.01) and also showed a highly significant positive correlation (p<0.01) in forest areas Ⅰ (R=0.57) and Ⅱ (R=0.79)

where forest NPP decreased with drought. Heavy drought decreased forest NPP in the three northeastern provinces by 11.09 Tg during 23 years. [Conclusion] Drought disturbance under climate change and forest management affected forest NPP both negatively and positively in the three northeastern provinces

but the latter was greater than the former

and forest NPP increased. Among them

the sensitivity to drought was much higher in the Greater and Lesser Khingan Mountains forests than in the Changbai Mountain forests.

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Keywords

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