Land Use Changes in Blue-green Space and Their Impacts on Carbon Storage in Daxing'an Mountains of Heilongjiang Province from 2015 to 2020

Gao Mingyang; Zhang Junling; Shi Song; Liu Wei

doi:10.13961/j.cnki.stbctb.20231024.001

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Land Use Changes in Blue-green Space and Their Impacts on Carbon Storage in Daxing'an Mountains of Heilongjiang Province from 2015 to 2020

- Land Use Changes in Blue-green Space and Their Impacts on Carbon Storage in Daxing'an Mountains of Heilongjiang Province from 2015 to 2020
- Bulletin of Soiland Water Conservation Vol. 44, Issue 1, Pages: 453-464(2024)
- 作者机构：
  
  东北林业大学园林学院,黑龙江,哈尔滨,150040
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.20231024.001
  CLC： F301.2;X171.1
- Published：2024
- 稿件说明：
移动端阅览
Gao Mingyang, Zhang Junling, Shi Song, et al. Land Use Changes in Blue-green Space and Their Impacts on Carbon Storage in Daxing'an Mountains of Heilongjiang Province from 2015 to 2020[J]. Bulletin of Soiland Water Conservation, 2024, 44(1): 453-464.
DOI：

Gao Mingyang, Zhang Junling, Shi Song, et al. Land Use Changes in Blue-green Space and Their Impacts on Carbon Storage in Daxing'an Mountains of Heilongjiang Province from 2015 to 2020[J]. Bulletin of Soiland Water Conservation, 2024, 44(1): 453-464. DOI： 10.13961/j.cnki.stbctb.20231024.001.

摘要

[目的

]

预测黑龙江省大兴安岭地区蓝绿空间用地变化并分析其对碳储量的影响

为实现大兴安岭"双碳"目标提供科学参考。[方法

]

基于2015

2020年黑龙江省大兴安岭地区土地利用数据

通过二元Logistic回归检验的驱动因子引入PLUS模型

预测2030年蓝绿空间用地格局

耦合InVEST模型分析蓝绿空间变化对碳储量的影响

量化并验证蓝绿空间对碳储量波动的主要驱动地类。[结果

]

①2015-2030年蓝绿空间持续增长

林地均达蓝绿空间转入的60 %以上

占绝对优势。②2015-2020年蓝绿空间占碳储量增长空间总面积的96.52 %

2030年自然发展、蓝绿空间保护、城镇快速发展情景碳储量分别为1.459 4×10

1.483 1×10

和1.464 7×10

主要为大量非蓝绿空间向林地、草地的转入

其中蓝绿空间保护对碳储量增加作用最明显。③蓝绿空间中林地、草地、水域聚集程度与碳储量呈显著正相关

林地、草地为碳储量变化第一、第二主导地类。[结论

]

未来应延续优良生态政策

对黑龙江省大兴安岭地区蓝绿空间进行重点保护

提高林地、草地结构完整性

助力该地区实现"双碳"目标。

Abstract

[Objective] The changes in blue-green space land use were predicted and their impacts on carbon storage in Daxing'an Mountains were analyzed in order provide scientific strategic for realizing the "dual-carbon" goal guidance references.[Methods] Based on land utilization data for Daxing'an Mountains in 2015 and 2020

the driving factors of a binary logistic regression test were introduced into the PLUS model to predict the blue-green space land utilization pattern in 2030. The InVEST model was coupled with the results to analyze the impact of changes in blue-green space on carbon storage. The main driving land types of blue-green space causing changes in carbon storage were quantified and verified.[Results] ① Blue-green space continued to grow from 2015 to 2030. Forest land increased over this time period

accounting for more than 60 % of the blue-green space transfer

indicating that forest land held an absolute advantage. ② From 2015 to 2020

blue-green space accounted for 96.52 % of the total area of carbon storage growth space. Carbon storage for the natural development

blue-green space protection

and rapid urban development scenarios in 2030 were 1.459 4×109 t

1.483 1×109 t

and 1.464 7×109 t

respectively

mainly due to the transfer of a large amount of non-blue-green space to forest land and grassland. Protection of blue-green spaces had the most obvious effect on the increase of carbon storage. ③ The degree of aggregation of forest land

grassland

and water areas in the blue-green space was significantly and positively correlated with carbon storage. Forest land and grassland were the first and second most dominant types of carbon storage changes.[Conclusion] Excellent ecological policies should be promoted in the future to protect the blue-green space and to improve the structural integrity of forest land and grassland so as to achieve the "dual-carbon" strategic goal in the Daxing'an Mountaions.

关键词

Keywords

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