基于PLUS模型的黄河流域生态系统服务评价及多情景预测——以陕西段为例

doi:10.12118/j.issn.1000-6060.2023.651

Abstract

Abstract:

The long-term supply and optimization of ecosystem services are critical for sustainable social development, necessitating a precise understanding of ecosystem service trends. This study integrates multi-source data, employing the InVEST model and an ecosystem service evaluation framework to analyze these trends. A comprehensive assessment of the spatiotemporal evolution of ecosystem services in the Shaanxi section of the Yellow River Basin, China, was conducted from 2000 to 2020. The PLUS model was subsequently used to simulate and forecast land use and ecosystem service changes for 2035. The findings reveal that: (1) From 2000 to 2020, the spatial distribution of comprehensive ecosystem service values in the Shaanxi section exhibited a “high in the south and low in the north” pattern, with high-value areas predominantly located in the southern region. (2) From 2000 to 2020, the comprehensive ecosystem service value initially declined and then increased significantly, with high-value areas expanding from south to north. Apart from soil conservation services, the values of other ecosystem services improved to varying extents, displaying significant spatial differentiation. (3) Under the ecological protection scenario, forest area notably increased, and service levels in the central and northern regions improved markedly. Conversely, in the construction priority scenario, the expansion of construction land led to decreased service levels in the Yellow River system and pronounced clustering of affected areas. In the sustainable development scenario, both forest and construction land expanded, significantly enhancing service levels in the northern part of the study area. Based on these results, this study examines the impacts of regional social development on ecosystem services and offers zoning and control recommendations, providing valuable insights for the high-quality development of the Yellow River Basin.

Key words: evaluation of ecosystem services, PLUS model, multi-scenario simulation, Yellow River Basin, Shaanxi section

ZHANG Yan, LI Junnan, PAN Bohua. Evaluation and multi-scenario prediction of ecosystem services in the Yellow River Basin based on PLUS model: A case of Shaanxi section[J].Arid Land Geography, 2024, 47(11): 1935-1946.

Figures/Tables 12

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References 31

[1]	Tallis H, Kareiva P, Marvier M, et al. An ecosystem services framework to support both practical conservation and economic development[J]. Proceedings of the National Academy of Sciences of the United States of America, 2008, 105(28): 9457-9464. doi: 10.1073/pnas.0705797105 pmid: 18621702
[2]	Ehrlich P R, Mooney H A. Extinction, substitution, and ecosystem services[J]. Bioscience, 1983, 33(4): 248-254.
[3]	Tallis H, Polasky S. Mapping and valuing ecosystem services as an approach for conservation and natural-resource management[J]. Annals of the New York Academy of Sciences, 2009, 1162(1): 265-283.
[4]	Martinez-Harms M J, Bryan B A, Figueroa E, et al. Scenarios for land use and ecosystem services under global change[J]. Ecosystem Services, 2017, 25: 56-68.
[5]	路昌, 蔡雪芹, 郝灿书, 等. 黄河三角洲高效生态经济区生态系统服务权衡协同关系[J]. 应用生态学报, 2024, 35(2): 457-468. doi: 10.13287/j.1001-9332.202402.026
	[Lu Chang, Cai Xueqin, Hao Canshu, et al. Ecosystem service tradeoff and synergistic relationship in the Yellow River Delta High-Efficiency Eco-Economic Zone[J]. Chinese Journal of Applied Ecology, 2024, 35(2): 457-468.] doi: 10.13287/j.1001-9332.202402.026
[6]	陈立恒, 龚健, 王雄, 等. 长江中游地区生态系统服务平衡与城镇化的空间关系[J]. 生态学报, 2021, 41(14): 5546-5556.
	[Chen Liheng, Gong Jian, Wang Xiong, et al. Spatial relationship between ecosystem services balance and urbanization in the middle reaches of the Yangtze River[J]. Acta Ecologica Sinica, 2021, 41(14): 5546-5556.]
[7]	陈美景, 王庆日, 白中科, 等. 黄河流域资源型城市土地利用转型及其对生态系统服务价值的影响[J]. 生态学报, 2023, 43(22): 9459-9470.
	[Chen Meijing, Wang Qingri, Bai Zhongke, et al. Land use transition of resource-based cities in the Yellow River Basin and its impact on ecosystem services[J]. Acta Ecologica Sinica, 2023, 43(22): 9459-9470.]
[8]	Schmidt K, Walz A, Jones I, et al. The sociocultural value of upland regions in the vicinity of cities in comparison with urban green spaces[J]. Mountain Research and Development, 2016, 36(4): 465-474.
[9]	Xu X B, Jiang B, Tan Y, et al. Lake-wetland ecosystem services modeling and valuation: Progress, gaps and future directions[J]. Ecosystem Services, 2018, 33: 19-28.
[10]	Li N, Zhao Y L, Feng C C, et al. Regional ecological risk assessment based on multi-scenario simulation of land use changes and ecosystem service values in Inner Mongolia, China[J]. Ecological Indicators, 2023, 155: 111013, doi: 10.1016/j.ecolind.2023.111013.
[11]	李何英, 何文, 王金叶, 等. 基于PLSR-FLUS-MarKov模型的生态系统服务价值多情景预测——以漓江流域为例[J/OL]. 水生态学杂志. [2024-03-22]. https://doi.org/10.15928/j.1674-3075.202211210468.
	[Li Heying, He Wen, Wang Jinye, et al. Multi-scenario prediction of ecosystem service value based on PLSR-FLUS model: A case study of Lijiang River Basin[J/OL]. Journal of Hydroecology. [2024-03-22]. https://doi.org/10.15928/j.1674-3075.202211210468.]
[12]	刘颂, 张浩鹏, 裴新生, 等. 长时间序列生态系统服务权衡与协同驱动因素研究——以芜湖市生态系统服务功能极重要区为例[J]. 生态学报, 2024, 44(5): 1780-1790.
	[Liu Song, Zhang Haopeng, Pei Xinsheng, et al. Drivers of ecosystem service trade-off and synergy in long-term sequence: A case study of the extremely important ecosystem service function area in Wuhu City[J]. Acta Ecologica Sinica, 2024, 44(5): 1780-1790.]
[13]	马伟波, 杨帆, 王楠, 等. 长三角城市群地区生态系统服务价值时空演变及驱动因素研究[J]. 生态与农村环境学报, 2022, 38(11): 1365-1376.
	[Ma Weibo, Yang Fan, Wang Nan, et al. Study on spatial-temporal evolution and driving factors of ecosystem service value in the Yangtze River Delta urban agglomerations[J]. Journal of Ecology and Rural Environment, 2022, 38(11): 1365-1376.]
[14]	赵霁雨, 崔柳, 王佳, 等. 基于土地利用模拟预测模型分析的城市绿色空间发展多情景模拟及建设时序研究——以湛江市中心城区为例[J]. 生态学报, 2023, 43(15): 6307-6320.
	[Zhao Jiyu, Cui Liu, Wang Jia, et al. Multi-scenario simulation of urban green space development and construction timeline based on PLUS model analysis: A case study of the central Zhanjiang City[J]. Acta Ecologica Sinica, 2023, 43(15): 6307-6320.]
[15]	陈德权, 兰泽英, 张郁, 等. 广州市水源涵养生态系统服务功能评价与影响因素研究[J]. 地理空间信息, 2024, 22(2): 34-38.
	[Chen Dequan, Lan Zeying, Zhang Yu, et al. Evaluation and influence mechanism of water conservation ecosystem service function in Guangzhou City[J]. Geospatial Information, 2024, 22(2): 34-38.]
[16]	席梅竹, 赵中秋, 赵颖丽. 基于PLUS模型的2030年滹沱河流域山区段生态承载力时空格局多情景预测[J]. 农业资源与环境学报, 2024, 41(3): 518-529.
	[Xi Meizhu, Zhao Zhongqiu, Zhao Yingli. Multi-scenario prediction of the spatial and temporal patterns of ecological carrying capacity in the mountain section of Hutuo River Basin in 2030 based on the PLUS model[J]. Journal of Agricultural Resources and Environment, 2024, 41(3): 518-529.]
[17]	张天海, 田野, 徐舒, 等. 滨海城市土地利用格局演变及对生态系统服务价值的影响[J]. 生态学报, 2018, 38(21): 7572-7581.
	[Zhang Tianhai, Tian Ye, Xu Shu, et al. The evolvement of land use patterns in coastal cities and its influence on ecosystem service values[J]. Acta Ecologica Sinica, 2018, 38(21): 7572-7581.]
[18]	赵恒谦, 刘哿, 杨姿涵, 等. 2000—2020年辽宁省生态系统服务评估与多情景预测[J]. 环境科学, 2024, 45(7): 4137-4151.
	[Zhao Hengqian, Liu Qian, Yang Zihan, et al. Ecosystem services assessment and multi-scenario prediction in Liaoning Province from 2000 to 2020[J]. Environmental Science, 2024, 45(7): 4137-4151.]
[19]	李祖政. 北京市生态系统服务对气候和土地利用的响应及情景模拟[D]. 北京: 北京林业大学, 2021.
	[Li Zuzheng. Response of ecosystem service to climate and land use and scenario simulation in Beijing[D]. Beijing: Beijing Forestry University, 2021.]
[20]	殷允可, 李昊瑞, 张铭, 等. 不同气候区生态系统服务权衡空间异质性及其驱动因素——以川滇-黄土高原生态屏障带为例[J]. 生态学报, 2024, 44(1): 107-116.
	[Yin Yunke, Li Haorui, Zhang Ming, et al. Spatial heterogeneity of ecosystem service trade-offs in different climatic regions and its driving factors: A case study of the Sichuan-Yunnan-Loess Plateau ecological barrier zone[J]. Acta Ecologica Sinica, 2024, 44(1): 107-116.]
[21]	李敏, 张艳. 黄河流域中段植被覆盖时空变化特征及影响因素分析[J]. 贵州师范大学学报(自然科学版), 2023, 41(1): 10-20, 40.
	[Li Min, Zhang Yan. Temporal and spatial variation characteristics and influencing factors of vegetation cover in the middle Yellow River Basin[J]. Journal of Guizhou Normal University (Natural Sciences Edition), 2023, 41(1): 10-20, 40.]
[22]	贾雯霞, 张艳, 崔国屹. 汾河流域生态系统服务供需匹配关系研究[J]. 贵州师范大学学报(自然科学版), 2023, 41(2): 15-23.
	[Jia Wenxia, Zhang Yan, Cui Guoyi. Research on the matching relationship between supply and demand of ecosystem services in the Fenhe River Basin[J]. Journal of Guizhou Normal University (Natural Sciences Edition), 2023, 41(2): 15-23.]
[23]	Peng J, Hu X X, Qiu S J, et al. Multifunctional landscapes identification and associated development zoning in mountainous area[J]. Science of the Total Environment, 2019, 660: 765-775.
[24]	徐苏, 方勇, 谢超, 等. 基于层次分析法的城市防洪风险综合评价研究[J]. 吉林水利, 2024(1): 71-75.
	[Xu Su, Fang Yong, Xie Chao, et al. Research on comprehensive evaluation of urban flood control risk based on analytic hierarchy process[J]. Jilin Water Resources, 2024(1): 71-75.]
[25]	Zhang D H, Jing P Q, Sun P J, et al. The non-significant correlation between landscape ecological risk and ecosystem services in Xi’an metropolitan area, China[J]. Ecological Indicators, 2022, 141: 109118, doi: 10.1016/j.ecolind.2022.109118.
[26]	胡丰, 张艳, 郭宇, 等. 基于PLUS和InVEST模型的渭河流域土地利用与生境质量时空变化及预测[J]. 干旱区地理, 2022, 45(4): 1125-1136. doi: 10.12118/j.issn.1000-6060.2021.510
	[Hu Feng, Zhang Yan, Guo Yu, et al. Spatial and temporal changes in land use and habitat quality in the Weihe River Basin based on the PLUS and InVEST models and predictions[J]. Arid Land Geography, 2022, 45(4): 1125-1136.] doi: 10.12118/j.issn.1000-6060.2021.510
[27]	隋露, 蒲春玲, 刘志有, 等. 基于PLUS模型的乌鲁木齐市生态服务价值权衡协同探究[J]. 干旱区地理, 2023, 46(1): 159-168. doi: 10.12118/j.issn.1000-6060.2022.261
	[Sui Lu, Pu Chunling, Liu Zhiyou, et al. Trade-off synergy of ecosystem service value in Urumqi City based on PLUS model[J]. Arid Land Geography, 2023, 46(1): 159-168.] doi: 10.12118/j.issn.1000-6060.2022.261
[28]	方露露, 许德华, 王伦澈, 等. 长江、黄河流域生态系统服务变化及权衡协同关系研究[J]. 地理研究, 2021, 40(3): 821-838. doi: 10.11821/dlyj020200044
	[Fang Lulu, Xu Dehua, Wang Lunche, et al. The study of ecosystem services and the comparison of trade-off and synergy in Yangtze River Basin and Yellow River Basin[J]. Geographical Research, 2021, 40(3): 821-838.]
[29]	杨洁, 谢保鹏, 张德罡. 基于InVEST模型的黄河流域产水量时空变化及其对降水和土地利用变化的响应[J]. 应用生态学报, 2020, 31(8): 2731-2739. doi: 10.13287/j.1001-9332.202008.015
	[Yang Jie, Xie Baopeng, Zhang Degang. Spatio-temporal variation of water yield and its response to precipitation and land use change in the Yellow River Basin based on InVEST model[J]. Chinese Journal of Applied Ecology, 2020, 31(8): 2731-2739.] doi: 10.13287/j.1001-9332.202008.015
[30]	童瑞, 杨肖丽, 任立良, 等. 黄河流域1961—2012年蒸散发时空变化特征及影响因素分析[J]. 水资源保护, 2015, 31(3): 16-21.
	[Tong Rui, Yang Xiaoli, Ren Liliang, et al. Temporal and spatial characteristics of evapotranspiration in the Yellow River Basin during 1961—2012 and analysis of its influence factors[J]. Water Resources Protection, 2015, 31(3): 16-21.]
[31]	朱春霞, 钟绍卓, 龙宇, 等. 黄河流域生态系统服务的时空演变及其驱动力[J]. 生态学杂志, 2023, 42(10): 2502-2513.
	[Zhu Chunxia, Zhong Shaozhuo, Long Yu, et al. Spatiotemporal variation of ecosystem services and their drivers in the Yellow River Basin, China[J]. Chinese Journal of Ecology, 2023, 42(10): 2502-2513.] doi: 10.13292/j.1000-4890.202310.005

情景类型	转换规则
自然发展	保持发展趋势，不考虑未来规划，不限制特殊规则，除建设用地和水体均可彼此转换
生态保护	追求高生态效益，限制生态效益高等级用地向低等级转换
建设优先	注重经济发展，将经济效益高用地设为高等级，按照由低到高的转换原则
可持续发展	兼顾经济发展与生态保护，有机结合2种情景需求，耦合人地关系

年份	碳储存	土壤保持	水源供给	粮食生产	居住资源支持	综合生态系统服务
2000	0.0782	0.0213	0.3642	0.3535	0.0046	0.2205
2010	0.1127	0.0179	0.3420	0.4496	0.0085	0.1887
2020	0.1260	0.0103	0.4765	0.3644	0.0134	0.2461

土地利用类型	2020年		2035年
	基准情景		自然发展情景		生态保护情景		建设优先情景		可持续发展情景
	面积/km²	占比/%	面积/km²	占比/%	面积/km²	占比/%	面积/km²	占比/%	面积/km²	占比/%
耕地	49501	37.29	49501	37.29	48850	36.80	48713	36.69	48288	36.37
林地	23137	17.43	23823	17.94	24135	18.18	23137	17.43	24352	18.34
草地	49246	37.09	48602	36.61	49111	36.99	49246	37.10	48501	36.53
水域	1434	1.08	1401	1.05	1427	1.07	1434	1.08	1377	1.04
建设用地	5098	3.84	5106	3.85	4948	3.73	5859	4.41	5854	4.41
未利用地	4344	3.27	4327	3.26	4289	3.23	4371	3.29	4388	3.31

综合生态系统服务等级	2020年		2035年
	基准情景		自然发展情景		生态保护情景		建设优先情景		可持续发展情景
	面积/km²	占比/%	面积/km²	占比/%	面积/km²	占比/%	面积/km²	占比/%	面积/km²	占比/%
高	20784	15.66	27922	21.03	40555	30.55	19790	14.91	29985	22.59
较高	27362	20.61	29566	22.27	25138	18.93	25639	19.31	27979	21.07
中等	58710	44.22	40072	30.18	34420	25.93	52518	39.56	39082	29.44
较低	23957	18.05	27679	20.85	25388	19.12	28527	21.49	28691	21.61
低	1947	1.47	7521	5.67	7259	5.47	6286	4.73	7023	5.29

Evaluation and multi-scenario prediction of ecosystem services in the Yellow River Basin based on PLUS model: A case of Shaanxi section

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