基于InVEST模型的辽宁省海岸带碳储量时空变化研究

doi:10.19657/j.geoscience.1000-8527.2021.163

摘要/Abstract

摘要：

陆地生态系统碳储量与全球气候变化密切相关,研究海岸带地区土地利用变化对生态系统服务碳储量的影响,对于区域生态系统保护及社会经济可持续发展具有重要意义。以辽宁省海岸带地区为例,分析了1995—2018年海岸带地区的土地利用变化特征,运用InVEST模型碳储量模块估算了1995—2018年区域生态系统的碳储量,结果表明:(1)研究区生态系统碳储量呈减少的趋势,累计损失了12.97×10⁶ t;(2)碳储量较高的区域主要分布在研究区的东西两侧以及中部的沼泽地,碳储量较低的区域主要分布在锦州市的东部、盘锦市的北部;(3)林地、耕地是研究区最为重要的碳库,其碳储量占研究区所有土地利用类型固碳总量的83.86%。建设用地面积增加、林地和草地面积的减少是区域生态系统碳储量减少的主要原因。

关键词: 碳储量, InVEST模型, 时空变化, 海岸带

Abstract:

The carbon storage of terrestrial ecosystem is closely related to global climate change. Studying the impact of land use change on the carbon storage of ecosystem services in the coastal zone is of great significance for regional ecosystem protection and economic and social development. Taking the coastal zone of Liaoning Province as an example, this paper analyzed the characteristics of land use change in coastal zone from 1995 to 2018, and used the carbon storage module of InVEST model to estimate the changes of regional carbon storage from 1995 to 2018. The results showed that: (1) the carbon storage of ecosystem in the study area showed a decreasing trend, with a cumulative decrease of 12.97×10⁶ t; (2) the areas with high carbon storage are mainly distributed in the east and west sides and swamps in the middle of the study area, and the areas with low carbon storage are mainly distributed in the east of Jinzhou city and the north of Panjin city; (3) forest and cropland are the most important land use types for carbon sequestration in the study area, and its’s carbon storage accounts for 83.86% of the total carbon storage of all land use types. The increase of built-up land area and the decrease of forest and grassland area are the main reasons for the decrease of regional ecosystem carbon storage.

Key words: carbon storage, InVEST model, spatiotemporal variation, coastal zone

中图分类号:

P737.1
X145

朱丽亚, 胡克, 孙爽, 刘禹含, 梁佳欣. 基于InVEST模型的辽宁省海岸带碳储量时空变化研究[J]. 现代地质, 2022, 36(01): 96-104.

ZHU Liya, HU Ke, SUN Shuang, LIU Yuhan, LIANG Jiaxin. Research on the Spatiotemporal Variation of Carbon Storage in the Coastal Zone of Liaoning Province Based on InVEST Model[J]. Geoscience, 2022, 36(01): 96-104.

图/表 9

参考文献 37

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土地利用类型	地上生物碳密度	地下生物碳密度	土壤碳密度	死亡有机质碳密度
耕地	4.75	0	33.51	0
林地	49.60	24.97	128.67	1.99
草地	24.38	19.59	52.29	22.74
水域	2.45	0.62	80.11	0.10
建设用地	4.33	2.17	6.37	0.58
沼泽	28.73	14.39	317.82	2.40
未利用地	0	0	0	0

土地利用类型	地上生物碳密度	地下生物碳密度	土壤碳密度	死亡有机质碳密度
耕地	4.75	0	33.51	0
林地	49.60	24.97	128.67	1.99
草地	24.38	19.59	52.29	22.74
水域	2.45	0.62	80.11	0.10
建设用地	4.33	2.17	6.37	0.58
沼泽	28.73	14.39	317.82	2.40
未利用地	0	0	0	0

年份	耕地		林地		草地		水域		建设用地		沼泽		未利用地
年份	面积 /km²	比例 /%	面积 /km²	比例 /%	面积 /km²	比例 /%	面积 /km²	比例 /%	面积 /km²	比例 /%	面积 /km²	比例 /%	面积 /km²	比例 /%
1995	19 557.54	47.03	14 150.94	34.03	1 732.84	4.17	1 247.91	3.00	3 898.08	9.37	977.46	2.35	21.88	0.05
2000	19 734.61	47.45	14 192.39	34.13	1 451.40	3.49	1 637.34	3.94	3 579.84	8.61	976.78	2.35	14.04	0.03
2005	19 657.16	47.26	14 161.85	34.05	1 449.07	3.48	1 646.11	3.96	3 693.50	8.88	967.02	2.33	15.98	0.04
2010	19 475.75	46.64	13 871.84	33.22	1 025.93	2.46	1 563.34	3.74	4 799.66	11.49	978.96	2.34	43.64	0.10
2015	19 379.45	46.47	13 867.49	33.25	1 037.24	2.49	1 561.16	3.74	4 844.83	11.62	972.12	2.33	46.63	0.10
2018	19 084.95	45.75	13 768.88	33.00	975.16	2.34	2 052.89	4.92	4 887.89	11.72	913.03	2.19	36.27	0.09

年份	耕地		林地		草地		水域		建设用地		沼泽		未利用地
年份	面积 /km²	比例 /%	面积 /km²	比例 /%	面积 /km²	比例 /%	面积 /km²	比例 /%	面积 /km²	比例 /%	面积 /km²	比例 /%	面积 /km²	比例 /%
1995	19 557.54	47.03	14 150.94	34.03	1 732.84	4.17	1 247.91	3.00	3 898.08	9.37	977.46	2.35	21.88	0.05
2000	19 734.61	47.45	14 192.39	34.13	1 451.40	3.49	1 637.34	3.94	3 579.84	8.61	976.78	2.35	14.04	0.03
2005	19 657.16	47.26	14 161.85	34.05	1 449.07	3.48	1 646.11	3.96	3 693.50	8.88	967.02	2.33	15.98	0.04
2010	19 475.75	46.64	13 871.84	33.22	1 025.93	2.46	1 563.34	3.74	4 799.66	11.49	978.96	2.34	43.64	0.10
2015	19 379.45	46.47	13 867.49	33.25	1 037.24	2.49	1 561.16	3.74	4 844.83	11.62	972.12	2.33	46.63	0.10
2018	19 084.95	45.75	13 768.88	33.00	975.16	2.34	2 052.89	4.92	4 887.89	11.72	913.03	2.19	36.27	0.09

2018年	1995年
2018年	耕地	林地	草地	水域	建设用地	沼泽	未利用地
耕地	79.56	14.26	27.14	21.74	16.51	11.83	17.82
林地	8.27	79.09	44.89	5.33	2.81	0.11	6.73
草地	1.19	2.12	22.22	2.33	0.45	1.18	1.71
水域	2.12	0.64	1.88	58.69	16.00	7.47	2.69
建设用地	8.42	3.75	3.51	5.93	63.52	3.13	45.05
沼泽	0.33	0.07	0.21	5.84	0.45	76.16	0.01
未利用地	0.10	0.05	0.15	0.01	0.02	0.085	26.08