石羊河流域生态系统服务相互作用的时空变化及驱动机制研究

doi:10.12118/j.issn.1000-6060.2023.708

Abstract

Abstract:

Understanding the spatiotemporal distribution and the internal complex relationships of ecosystem services is essential for their management. With the Shiyang River Basin, Gansu Province, China as the research area, six ecosystem services were evaluated in 2010, 2015, and 2020. The trade-off/synergy of ecosystem services and the spatial changes of service bundles on the grid and township scale were analyzed, and a boosted regression tree model was used to analyze the driving mechanism of ecosystem service bundles in the research area. The results showed the following: (1) The spatial differences of various services were obvious. The spatial pattern of water yield, carbon storage, soil conservation, and habitat quality was “southwest high-northeast low”. Food production was mainly distributed in the farming areas in the north-central part of the basin, and the high-value areas of recreational service were distributed in the southern areas and the central parts of the basin and in densely populated areas in the north. During the research period, all kinds of services were improved to varying degrees, with the increase in soil conservation having the largest improvement and the increase in carbon storage and habitat quality having the smallest. (2) The trade-offs and synergies of ecosystem services on two scales showed similarities, but their intensities were different. Overall, there were twelve pairs of synergy and three pairs of trade-off relationships. (3) The spatial patterns of ecosystem service bundles on two scales were similar. In addition to food production, there were five service-related service bundles in the southern part of the river basin. In the central and northern Minqin oasis areas of the basin, there were service bundles related to food production and recreational service. The ecological environment in other areas was relatively harsh. There was no outstanding service supply in the service bundles, but there were obvious changes in the number and space transfer of service bundles during the study period. (4) Many factors played an important role in the changes in ecosystem service bundles in the research area, and the impact factors were slightly different in different years. Among them, land use type, normalized difference vegetation index, annual precipitation, and altitude were the main drivers of the changes in ecosystem service bundles.

Key words: ecosystem service bundle, trade-offs and synergies, boosted regression tree model, Shiyang River Basin

HU Feipeng, ZHAO Jun, SUN Ziyun, LIU Jian, TUO Rui. Spatiotemporal changes and driving mechanism of ecosystem service interactions in the Shiyang River Basin[J].Arid Land Geography, 2024, 47(10): 1755-1766.

Figures/Tables 10

Fig. 1

Tab. 1

Tab. 2

Assessment methods for ecosystem services"

生态系统服务		计算公式	描述
供应服务	粮食供应	$G x = N D V I x N D V I s u m × G s u m$	根据以往研究，粮食总产量按照耕地NDVI值与耕地总NDVI值的比值进行分配，以此确定研究区内各栅格的粮食供应能力^[18]。G_x为栅格x的粮食供应量（t）；NDVI_x为耕地栅格x的NDVI值；NDVI_sum为研究区内所有耕地的NDVI总和；G_sum为研究区内耕地内的粮食总产量（t）。
供应服务	产水量	$Y x = 1 - A E T x P x × P x$	利用InVEST模型中的Water yield模块对水源供给进行计算，模型中的参数根据有关研究成果确定^[19]。Y_x为栅格x的年产量（mm）；P_x和AET_x分别为栅格x的年降雨量和年实际蒸散量（mm）。
调节服务	碳储量	$C x = C a b o v e + C b e l o w + C s o i l + C d e a d$	利用InVEST模型中的Carbon Storage Sequestration模块计算固碳储量，碳库参数根据有关研究成果确定^[20]。C_x为总碳储量（t·hm^-2）；C_above为地上碳储量（t·hm^-2）；C_below为地下碳储量（t·hm^-2）；C_dead为死亡有机质（t·hm^-2）；C_soil为土壤碳储量（t·hm^-2）。
调节服务	土壤保持	$S C = R × K × L S × P × (1 - C)$	采用修正水土流失方程估算土壤保持^[21]。SC为土壤保持量（t·hm^-2·a^-1）；R为降雨侵蚀力因子；K为土壤可侵蚀力因子；LS为坡度坡长因子；C为植被覆盖因子；P为土壤保持因子。
支持服务	生境质量	$Q x j = H j 1 - D x j z D x j z + k z$	利用InVEST模型中Habitat Quality模块计算生境分布和退化情况^[22]。Q_xj为第j类土地利用类型栅格x的生境质量指数；H_j为土地利用类型j的生境适宜度；D_xj为土地利用类型j中的栅格单元x的生境退化程度；k为半饱和系数。其中威胁因子及其敏感度的赋值参照相关研究成果确定^[19]。
文化服务	休闲娱乐	RS=Σ（NPP_i+POP_i+ROAD_i）	文化服务指人类直接或间接从生态系统中所获得的非物质性收益。基于森林游憩服务量化模型，引入NPP取代娱乐得分，对流域的休闲娱乐进行评估^[23-24]。根据公式对得分求和后重分类为0~10，得分越高，休闲娱乐服务越强。RS为休闲娱乐的总得分；NPP_i为植被净初级生产力水平得分；POP_i为人口聚集临近度得分；ROAD_i为道路的距离得分。

Tab. 2

Fig. 2

Tab. 3

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

References 36

[1]	Costanza R, d’Arge R, De Groot R, et al. The value of the world’s ecosystem services and natural capital[J]. Nature, 1997, 387(6630): 253-260.
[2]	Carpenter S R, Mooney H A, Agard J, et al. Science for managing ecosystem services: Beyond the millennium ecosystem assessment[J]. Proceedings of the National Academy of Sciences, 2009, 106(5): 1305-1312.
[3]	Carpenter S R, DeFries R, Dietz T, et al. Millennium ecosystem assessment: Research needs[J]. Science, 2006, 314(5797): 257-258. pmid: 17038608
[4]	郑华, 李屹峰, 欧阳志云, 等. 生态系统服务功能管理研究进展[J]. 生态学报, 2013, 33(3): 702-710.
	[Zheng Hua, Li Yifeng, Ouyang Zhiyun, et al. Progress and perspectives of ecosystem services management[J]. Acta Ecologica Sinica, 2013, 33(3): 702-710.]
[5]	李双成, 张才玉, 刘金龙, 等. 生态系统服务权衡与协同研究进展及地理学研究议题[J]. 地理研究, 2013, 32(8): 1379-1390.
	[Li Shuangcheng, Zhang Caiyu, Liu Jinlong, et al. The tradeoffs and synergies of ecosystem services: Research progress, development trend, and themes of geography[J]. Geographical Research, 2013, 32(8): 1379-1390.]
[6]	李冬花, 张晓瑶, 王咏, 等. 新安江流域生态系统服务演化过程及权衡协同关系[J]. 生态学报, 2021, 41(17): 6981-6993.
	[Li Donghua, Zhang Xiaoyao, Wang Yong, et al. Evolution process of ecosystem services and the trade-off synergy in Xin’an River Basin[J]. Acta Ecologica Sinica, 2021, 41(17): 6981-6993.]
[7]	Wang Y, Dai E. Spatial-temporal changes in ecosystem services and the trade-off relationship in mountain regions: A case study of Hengduan Mountain region in southwest China[J]. Journal of Cleaner Production, 2020, 264: 121573, doi: 10.1016/j.jclepro.2020.121573.
[8]	Turner K G, Odgaard M V, Bøcher P K, et al. Bundling ecosystem services in Denmark: Trade-offs and synergies in a cultural landscape[J]. Landscape and Urban Planning, 2014, 125: 89-104.
[9]	欧阳晓, 贺清云, 朱翔. 多情景下模拟城市群土地利用变化对生态系统服务价值的影响——以长株潭城市群为例[J]. 经济地理, 2020, 40(1): 93-102.
	[Ouyang Xiao, He Qingyun, Zhu Xiang. Simulation of impacts of urban agglomeration land use change on ecosystem services value under multi-scenarios: Case study in Changsha-Zhuzhou-Xiangtan urban agglomeration[J]. Economic Geography, 2020, 40(1): 93-102.]
[10]	Bagstad K J, Johnson G W, Voigt B, et al. Spatial dynamics of ecosystem service flows: A comprehensive approach to quantifying actual services[J]. Ecosystem Services, 2013, 4: 117-125.
[11]	张春悦, 白永平, 杨雪荻, 等. 多情景模拟下宁夏平原生态系统服务簇识别研究[J]. 地理研究, 2022, 41(12): 3364-3382. doi: 10.11821/dlyj020220289
	[Zhang Chunyue, Bai Yongping, Yang Xuedi, et al. Identification of ecosystem service bundles in Ningxia Plain under multi-scenario simulation[J]. Geographical Research, 2022, 41(12): 3364-3382.]
[12]	Raudsepp-Hearne C, Peterson G D, Bennett E M. Ecosystem service bundles for analyzing tradeoffs in diverse landscapes[J]. Proceedings of the National Academy of Sciences, 2010, 107(11): 5242-5247.
[13]	胡宇霞, 龚吉蕊, 朱趁趁, 等. 基于生态系统服务簇的内蒙古荒漠草原生态系统服务的空间分布特征[J]. 草业学报, 2023, 32(4): 1-14. doi: 10.11686/cyxb2022142
	[Hu Yuxia, Gong Jirui, Zhu Chenchen, et al. Spatial distribution of ecosystem services in the desert steppe, Inner Mongolia based on ecosystem service bundles[J]. Acta Prataculturae Sinica, 2023, 32(4): 1-14.] doi: 10.11686/cyxb2022142
[14]	Chen T, Feng Z, Zhao H, et al. Identification of ecosystem service bundles and driving factors in Beijing and its surrounding areas[J]. Science of the Total Environment, 2020, 711: 134687, doi: 10.1016/j.scitotenv.2019.134687.
[15]	宋家鹏, 陈松林. 基于生态系统服务簇的福州市生态系统服务格局[J]. 应用生态学报, 2021, 32(3): 1045-1053. doi: 10.13287/j.1001-9332.202103.013
	[Song Jiapeng, Chen Songlin. Ecosystem service pattern of Fuzhou City based on ecosystem service bundles[J]. Chinese Journal of Applied Ecology, 2021, 32(3): 1045-1053.] doi: 10.13287/j.1001-9332.202103.013
[16]	Zhang T, Zhang S, Cao Q, et al. The spatiotemporal dynamics of ecosystem services bundles and the social-economic-ecological drivers in the Yellow River Delta region[J]. Ecological Indicators, 2022, 135: 108573, doi: 10.1016/j.ecolind.2022.108573.
[17]	杨亮洁, 王晶, 魏伟, 等. 干旱内陆河流域生态安全格局的构建及优化——以石羊河流域为例[J]. 生态学报, 2020, 40(17): 5915-5927.
	[Yang Liangjie, Wang Jing, Wei Wei, et al. Ecological security pattern construction and optimization in arid inland river basin: A case study of Shiyang River Basin[J]. Acta Ecologica Sinica, 2020, 40(17): 5915-5927.]
[18]	张自正, 张蕾, 孙桂英, 等. 清江流域生态系统服务权衡时空效应及驱动因素[J]. 应用生态学报, 2023, 34(4): 1051-1062. doi: 10.13287/j.1001-9332.202304.022
	[Zhang Zizheng, Zhang Lei, Sun Guiying, et al. Spatial and temporal effect and driving factors of ecosystem service trade-off in the Qingjiang River Basin[J]. Chinese Journal of Applied Ecology, 2023, 34(4): 1051-1062.]
[19]	王蓓, 赵军, 胡秀芳. 石羊河流域生态系统服务权衡与协同关系研究[J]. 生态学报, 2018, 38(21): 7582-7595.
	[Wang Bei, Zhao Jun, Hu Xiufang. Analysison trade-offs and synergistic relationships among multiple ecosystem services in the Shiyang River Basin[J]. Acta Ecologica Sinica, 2018, 38(21): 7582-7595.]
[20]	韩楚翘, 郑江华, 王哲, 等. 基于PLUS-InVEST模型吐哈盆地陆地生态系统碳储量时空变化及多情景模拟[J]. 干旱区地理, 2024, 47(2): 260-269. doi: 10.12118/j.issn.1000－6060.2023.066
	[Han Chuqiao, Zheng Jianghua, Wang Zhe, et al. Spatiotemporal variation and multiscenario simulation of carbon storage in terrestrial ecosystems in the Turpan-Hami Basin based on PLUS-InVEST model[J]. Arid Land Geography, 2024, 47(2): 260-269.] doi: 10.12118/j.issn.1000－6060.2023.066
[21]	秦伟, 朱清科, 张岩. 基于GIS和RUSLE的黄土高原小流域土壤侵蚀评估[J]. 农业工程学报, 2009, 25(8): 157-163, 5.
	[Qin Wei, Zhu Qingke, Zhang Yan. Soil erosion assessment of small watershed in Loess Plateau based on GIS and RUSLE[J]. Transactions of the CSAE, 2009, 25(8): 157-163, 5.]
[22]	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
[23]	王良杰, 马帅, 许稼昌, 等. 基于生态系统服务权衡的优先保护区选取研究——以南方丘陵山地带为例[J]. 生态学报, 2021, 41(5): 1716-1727.
	[Wang Liangjie, Ma Shuai, Xu Jiachang, et al. Selection of priority protected region based on ecosystem service trade-offs: A case study of the southern hill and mountain belt, China[J]. Act Ecologica Sinica, 2021, 41(5): 1716-1727.]
[24]	Qiu J, Turner M G. Spatial interactions among ecosystem services in an urbanizing agricultural watershed[J]. Proceedings of the National Academy of Sciences, 2013, 110(29): 12149-12154.
[25]	Kohonen T. The self-organizing map[J]. Proceedings of the IEEE, 1990, 78(9): 1464-1480.
[26]	Elith J, Leathwick J R, Hastie T. A working guide to boosted regression trees[J]. Journal of Animal Ecology, 2008, 77(4): 802-813. doi: 10.1111/j.1365-2656.2008.01390.x pmid: 18397250
[27]	Wang S, Tan X, Fan F. Landscape ecological risk assessment and impact factor analysis of the Qinghai-Tibetan Plateau[J]. Remote Sensing, 2022, 14(19): 4726, doi: 10.3390/rs14194726.
[28]	王玉纯, 赵军, 付杰文, 等. 生态系统服务综合关系空间分异及驱动因素——以石羊河流域为例[J]. 水土保持研究, 2023, 30(2): 274-284.
	[Wang Yuchun, Zhao Jun, Fu Jiewen, et al. Recognition of ecosystem services trade-offs and synergistic comprehensive relations[J]. Research of Soiland Water Conservation, 2023, 30(2): 274-284.]
[29]	王波, 杨太保. 1980—2018年银川市生态系统服务价值评价及驱动力分析[J]. 干旱区地理, 2021, 44(2): 552-564. doi: 10.12118/j.issn.1000–6060.2021.02.26
	[Wang Bo, Yang Taibao. Value evaluation and driving force analysis of ecosystem value in Yinchuan City from 1980 to 2018[J]. Arid Land Geography, 2021, 44(2): 552-564.]
[30]	Huang J, Zheng F, Dong X, et al. Exploring the complex trade-offs and synergies among ecosystem services in the Tibet Autonomous Region[J]. Journal of Cleaner Production, 2023, 384: 135483, doi: 10.1016/j.jclepro.2022.135483.
[31]	Xia H, Yuan S, Prishchepov A V. Spatial-temporal heterogeneity of ecosystem service interactions and their social-ecological drivers: Implications for spatial planning and management[J]. Resources, Conservation and Recycling, 2023, 189: 106767, doi: 10.1016/j.resconrec.2022.106767.
[32]	Sun Y, Li J, Liu X, et al. Spatially explicit analysis of trade-offs and synergies among multiple ecosystem services in Shaanxi Valley Basins[J]. Forests, 2020, 11(2): 209, doi: 10.3390/f11020209.
[33]	Saidi N, Spray C. Ecosystem services bundles: Challenges and opportunities for implementation and further research[J]. Environmental Research Letters, 2018, 13(11): 113001, doi: 10.1088/1748-9326/aae5e0.
[34]	Mouchet M A, Paracchini M L, Schulp C J E, et al. Bundles of ecosystem (dis) services and multifunctionality across European landscapes[J]. Ecological Indicators, 2017, 73: 23-28.
[35]	Liao Q, Li T, Wang Q, et al. Exploring the ecosystem services bundles and influencing drivers at different scales in southern Jiangxi, China[J]. Ecological Indicators, 2023, 148: 110089, doi: 10.1016/j.ecolind.2023.110089.
[36]	刘迪, 陈海, 荔童, 等. 黄土丘陵沟壑区村域生态系统服务簇的时空分异及其地形梯度分析[J]. 地理科学进展, 2022, 41(4): 670-681. doi: 10.18306/dlkxjz.2022.04.011
	[Liu Di, Chen Hai, Li Tong, et al. Spatiotemporal differentiation of village ecosystem service bundles in the loess hilly and gully region and terrain gradient analysis[J]. Progress in Geography, 2022, 41(4): 670-681.] doi: 10.18306/dlkxjz.2022.04.011

数据	数据描述	分辨率	数据来源
土地利用数据	2010、2015、2020年三期土地利用数据	30 m	中国科学院资源环境科学与数据中心（https://www.resdc.cn/）
气象数据	2010—2020年潜在蒸散发数据、年降水量和年均气温数据	1 km	中国科学院资源环境科学与数据中心（https://www.resdc.cn/）
土壤数据	基于世界土壤数据库的泛第三极土壤数据库	1 km	国家青藏高原科学数据中心（https://data.tpdc.ac.cn/）
地形数据	DEM	30 m	地理空间数据云（https://www.gscloud.cn/）
社会经济数据	GDP	1 km	中国科学院资源环境科学与数据中心（https://www.resdc.cn/）
	人口密度数据	100 m	WorldPOP（https://hub.worldpop.org/）
	2010—2020年甘肃粮食生产统计数据		甘肃省统计局（http://tjj.gansu.gov.cn/）
其他数据	2010—2020年NDVI和NPP数据	30 m	国家青藏高原科学数据中心（https://data.tpdc.ac.cn/）
	县域和乡镇边界；河流水系数据		国家青藏高原科学数据中心（https://data.tpdc.ac.cn/）
	交通道路数据，包括公路、铁路等		OSM(https://openmapt.org/)

年份	FP/t	WY/t	CS/t	SC/t	HQ	RS
2010	3.71×10⁶	2.31×10⁹	5.60×10⁸	4.53×10⁸	0.4572	3.35
2015	4.79×10⁶	3.05×10⁹	5.64×10⁸	5.71×10⁸	0.4602	3.84
2020	4.96×10⁶	3.18×10⁹	5.62×10⁸	7.19×10⁸	0.4576	3.97

Spatiotemporal changes and driving mechanism of ecosystem service interactions in the Shiyang River Basin

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 10

References 36

Related Articles 10

Metrics

Comments

Recommended 0

[1]	YANG Xiaoling, DING Wenkui, ZHOU Hua, LI Yanying, CHEN Haibei. Normalized difference vegetation index change and its driving factors in Shiyang River Basin [J]. Arid Land Geography, 2024, 47(10): 1735-1744.
[2]	GUO Fangjun, MA Quanlin, ZHANG Jinchun, LI Delu, YUAN Hongbo, CHEN Fang, WEI Linyuan, ZHANG Dekui. Vegetation types, distribution and quantitative characteristics in the desert area of Shiyang River Basin [J]. Arid Land Geography, 2023, 46(11): 1848-1857.
[3]	CHENG Haoran,MENG Jijun,ZHU Likai. Spatial-temporal pattern and trade-offs of land multi-function in the middle reaches of the Heihe River based on multi-source geographic data fussion [J]. Arid Land Geography, 2021, 44(1): 208-220.
[4]	YANG Xiao-ling, DING Wen-kui, SUN Zhan-feng, WANG He-ling. Spatial and temporal change characteristics of ≥10 ℃ accumulative temperature in Shiyang River Basin [J]. Arid Land Geography, 2020, 43(3): 584-591.
[5]	LI Chuan-hua, FAN Ye-ping, CAO Hong-juan, HAN Hai-yan. Impact of human activities on net primary productivity based on the CASA model:a case study of the Shiyang River Basin [J]. 干旱区地理, 2018, 41(1): 142-151.
[6]	YANG Jin-hu, YANG Xiao-ling, ZHANG Chun-yan, ZHOU Hua, ZHANG Chun-song. Variation characterisrtics of ice days in Shiyang River Basin [J]. , 2016, 39(4): 712-720.
[7]	YANG Huai-de, LI Yong-jin, FENG Qi, CHEN Wen-jiang. A comparative analysis of rural household livelihoods diversity among different regions of Shiyang River Basin, NW China [J]. , 2016, 39(1): 199-206.
[8]	TANG Cui-wen，ZHANG Zhong-ming，SU Yan-ke，GUO Ming，YANG Sha-sha，WANG Tian-qiang，YANG Xiao-lin. Spatial neighboring characteristics among forest landscape types patches on the upper reaches of Shiyang River Basin and its ecological security [J]. , 2013, 36(2): 311-317.
[9]	SHI Peiji,YANG Xuemei,GONG Jiping,ZHANG Guangyong,WEI wei. Appropriate urban scale in arid inland river basin based on water resource carrying capacity： A case of Liangzhou District in Shiyang River Basin [J]. , 2012, 35(04): 646-655.
[10]	WEI Wei,SHI Peiji,ZHAO Jun,WANG Xufeng. Spatial relationship between elevation,vegetation cover and  landscape types in Shiyang River Basin [J]. , 2012, 35(01): 91-98.