| 邱颖颖,董 雯,许菲菲,陈莉娟,金筱艾,任 远,王 彬,陈 健,周天焕.土地利用变化背景下植被大气PM2.5去除能力动态评估[J].林业调查规划,2024,49(4):70-78 |
| 土地利用变化背景下植被大气PM2.5去除能力动态评估 |
| Dynamic Assessment of Atmospheric PM2.5 Removal Capacity ofVegetation in the Context of Land Use Change |
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| DOI： |
| 中文关键词: 土地利用格局 植被PM2.5去除能力 PLUS模型 干沉降模型 生态系统服务 |
| 英文关键词: land use pattern PM2.5 removal capacity of vegetation PLUS model dry deposition model ecosystem services |
| 基金项目:浙江新苗计划(2023R412057);全域森林康养试点县康养监测体系研究项目(YXHC2023(CS)-001). |
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| 中文摘要: |
| 为了加深对土地利用变化背景下植被大气净化功能的量化理解,回顾分析2000—2020 年丽
水市土地利用变化趋势,利用干沉降模型评估植被对PM2.5去除能力的动态变化;利用地理加权回
归模型分析植被对PM2.5去除能力变化的主要驱动因素,并基于此利用PLUS 模型在空间上预测未
来不同管理情景下2030年土地利用格局及植被PM2.5去除能力。结果表明,2000—2020年土地利
用变化的主要类型是由社会经济因素所驱动的建设用地对林地的侵占;在城市化和大气污染治理
的共同作用下,2020年丽水地区植被大气PM2.5 干沉降速率相比2000年下降了3.0%,干沉降通量
由2000年的0.36 g/(m2·a)下降至2020 年的0.26 g/(m2·a);自然环境因素对植被大气PM2.5去
除能力的空间分异规律解释能力最强;自然发展情景下,2030年植被大气PM2.5去除能力相比
2020年继续下降了1.6%,而生态保护情景则增加了1.3%。2000—2020年,丽水市的耕地、林地和
草地面积呈缩减趋势,水域及建设用地面积有所扩张,主要受到社会经济因素的推动;植被大气PM2.5
干沉降去除能力不断下降,其空间分异主要与自然环境因素有关;在未来情景中,按照现有发展模式
植被大气PM2.5干沉降去除能力将继续下降,而生态发展情景下干沉降去除能力将有所提高。 |
| 英文摘要: |
| To deepen the quantitative understanding of the air purification function of vegetation in the
context of land use change, this study reviewed the trends of land use change in Lishui City from 2000 to 2020, assessed the dynamic changes of vegetation′s ability to remove PM2.5 by using a dry deposition
model. Additionally, the study used a geographically weighted regression model to analyze the primary
drivers of land use changes and utilized the PLUS model to spatially predict the land use patterns and
vegetation PM2.5 removal capabilities under different management scenarios by 2030. The results showed
that the primary type of land use change from 2000 to 2020 was the encroachment of construction land on
forest areas driven by socio-economic factors; under the joint influence of urbanization and air pollution
control, the dry deposition rate of atmospheric PM2.5 by vegetation in Lishui area decreased by 3.0% in
2020 compared to 2000, and the dry deposition flux decreased from 0. 36 g/ (m2·a) in 2000 to 0. 26 g/
(m2·a) in 2020; natural environmental factors had the strongest explanatory power for the spatial variation
in the PM2.5 removal capacity of vegetation; under a natural development scenario, the PM2.5 removal
capacity of vegetation by 2030 would continue to decline by 1.6% compared to 2020, while an ecological
protection scenario would see an increase of 1.3%. In summary, from 2000 to 2020, the area of cultivated
land, forest land and grassland in Lishui City showed a shrinking trend, and the area of water and
construction land expanded, which was mainly driven by socio-economic factors; the dry deposition removal
capacity of vegetation for atmospheric PM2.5 continued to decline, and its spatial differentiation was
mainly related to natural environmental factors; in the future scenario, under the current development
model, the dry deposition removal capacity of vegetation for atmospheric PM2.5 would continue to decline,
while the dry deposition removal capacity would increase under the eco-development scenario. |
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