基于InVEST模型的广西茅尾海土地利用变化与碳储量评估

吴舒雁; 朱庆林; 翟焕锋

doi:10.13961/j.cnki.stbctb.20240019.001

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基于InVEST模型的广西茅尾海土地利用变化与碳储量评估

试验研究

- 基于InVEST模型的广西茅尾海土地利用变化与碳储量评估
- Assessment of Land Use Change and Carbon Storage in Maowei Sea of Guangxi Zhuang Autonomous Region Based on InVEST Model
- 水土保持通报 2024年44卷第1期页码：432-442
- 作者机构：
  
  中国海洋大学海洋与大气学院,山东,青岛,266100
- 作者简介：
- 基金信息：
  
  国家海洋软科学研究课题“海岸带规划与其他规划的关系和协调研究”(OSS2017-04)
- DOI：10.13961/j.cnki.stbctb.20240019.001
  中图分类号： P76
- 纸质出版：2024
- 稿件说明：
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吴舒雁, 朱庆林, 翟焕锋. 基于InVEST模型的广西茅尾海土地利用变化与碳储量评估[J]. 水土保持通报, 2024,44(1):432-442.

Wu Shuyan, Zhu Qinglin, Zhai Huanfeng. Assessment of Land Use Change and Carbon Storage in Maowei Sea of Guangxi Zhuang Autonomous Region Based on InVEST Model[J]. Bulletin of Soiland Water Conservation, 2024, 44(1): 432-442.
吴舒雁, 朱庆林, 翟焕锋. 基于InVEST模型的广西茅尾海土地利用变化与碳储量评估[J]. 水土保持通报, 2024,44(1):432-442. DOI： 10.13961/j.cnki.stbctb.20240019.001.

Wu Shuyan, Zhu Qinglin, Zhai Huanfeng. Assessment of Land Use Change and Carbon Storage in Maowei Sea of Guangxi Zhuang Autonomous Region Based on InVEST Model[J]. Bulletin of Soiland Water Conservation, 2024, 44(1): 432-442. DOI： 10.13961/j.cnki.stbctb.20240019.001.

摘要

[目的

]

评估广西壮族自治区茅尾海土地利用与碳储量的时空变化特征

为促进增碳汇与可持续发展提供科学依据。[方法

]

使用监督分类的方法对茅尾海2009

2015和2021年的3期遥感影像数据进行解译提取

基于ArcGIS软件和InVEST模型对茅尾海土地利用变化与碳储量演化进行研究。[结果

]

①茅尾海土地类型主要呈现"大聚居

小杂居"的分布特点

2009-2021年耕地、浅海水域和渔业养殖区面积减少

红树林湿地、建筑用地、林草地、淤泥质滩涂面积增加; ②茅尾海碳储量呈先下降后上升趋势

2009-2015

2015-2021

2009-2021年区域碳储量变化量分别为-1.10×10

3.77×10

-7.29×10

t;碳固定净现值分别为-1.37×10

4.66×10

-9.01×10

元; ③2009-2021年

茅尾海主要为渔业养殖区、林草地等高固碳土地利用类型向建筑用地等低固碳类型的转变

转为建筑用地造成的碳储量损失最大

达2.85×10

t;转为渔业养殖区增加的碳储量达1.81×10

t。[结论

]

加快推动茅尾海养殖方式转型升级

加强红树林在宜林区域的增殖及加快森林城市建设

有利于研究区域固碳与可持续发展。

Abstract

[Objective] Changes in land use and carbon storage in Maowei Sea of Guangxi Zhuang Autonomous Region were analyzed in order to provide a scientific basis for increasing its carbon sink capacity and improving its ecological value.[Methods] The supervised classification method was used to interpret and extract remote sensing image data for Maowei Sea in 2009

2015

and 2021. ArcGIS and the InVEST model were used to analyze spatiotemporal changes in land use and carbon storage in Maowei Sea.[Results] ① The land use types in Maowei Sea mainly showed the distribution characteristics of "large settlement

small mixed residence". The areas of cultivated land

shallow sea waters

and fishery breeding areas decreased

and the areas of mangrove wetlands

building land

forest grassland

and silty tidal flats increased from 2009 to 2021. ② Carbon storage initially decreased and then increased over time. Changes in net carbon sequestration and its net present value in Maowei Sea were

respectively

-1.10×105 tons and -1.37×108 yuan

3.77×104 tons and 4.66×107 yuan

and -7.29×104 tons and -9.01×107 yuan in 2009-2015

2015-2021 and 2009-2021. ③ The conversion from high carbon sequestration land use types (fishery breeding areas and forest and grasslands) to low carbon sequestration land use types (building land) in Maowei Sea in 2009-2021 caused the largest carbon storage loss

reaching 2.85×105 t. The conversion to fishery breeding areas increased carbon storage by 1.81×105 t.[Conclusion] Accelerating the conversion and upgrading of farming methods

increasing the proliferation of mangrove forests in terrestrial and aquatic forested areas

and accelerating the construction of forest cities will promote carbon sequestration and sustainable development in Maowei Sea.

关键词

Keywords

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