中国北方农牧交错带生境质量时空演变与情景模拟

doi:10.13866/j.azr.2025.01.14

Abstract

Abstract:

The agro-pastoral ecotone of northern China is a typical ecologically vulnerable region. It is important to explore the spatiotemporal change in habitat quality for the scientific protection of the ecology and environment. This study analyzed the spatiotemporal patterns of habitat quality during the period 2000-2020, and simulated the future land use and habitat quality under various scenarios until 2040, based on the land-use data, FLUS-InVEST model, and spatial autocorrelation method. The results showed that (1) Grassland was the main land-use type in the region, accounting for more than 41% of land use. The cultivated land area accounted for more than 32% and the forest land area accounted for more than 16%. During the 2000-2020 period, the cultivated land changed the most, decreasin by 10157 km², where the unused land changed the least with an area reduction of 771 km². The areas of grassland and construction land had increased. (2) The habitat quality in the southeast boundary of the region was relatively high. From 2000 to 2020, the average habitat quality index changed from 0.498 to 0.494, indicating a slight decrease. The area with low habitat quality increased by 2281 km² and that with high grade habitat increased by 1375 km². The areas with a high degree of degradation showed a point distribution and were mainly concentrated in some construction land. (3) In 2040, the habitat quality is projected to improve in each scenario, but the habitat quality will improve the most in the ecological protection scenario. The area of high grade habitat increased by 2514 km² relative to that in 2020. In the trend development scenario, the relatively low ecological quality area would be reduced by up to 162625 km²relative to that in 2020. The area under cultivation, grassland, and unused land under the trend development and economic development scenarios will not change. The area of forest land under the ecological protection scenario was the largest, being 18547 km² more than that under the trend development scenario. In light of these findings, it is suggested that in future land-use planning and ecological environmental protection, we should focus on the areas with low habitat quality in the southeast of Inner Mongolia and northern of Hebei.

Key words: habitat quality, the agro-pastoral ecotone of northern China, land use, spatiotemporal pattern

ZHANG Ying, ZHAO Yuanyuan, LIU Rulong, WANG Yue, DING Guodong. Spatiotemporal evolution and scenario simulation of habitat quality in the agro-pastoral ecotone of northern China[J].Arid Zone Research, 2025, 42(1): 154-165.

Figures/Tables 12

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References 33

[1]	赵哈林, 周瑞莲, 张铜会, 等. 我国北方农牧交错带的草地植被类型、特征及其生态问题[J]. 中国草地, 2003, 25(3): 2-9.
	[Zhao Halin, Zhou Ruilian, Zhang Tonghui, et al. Grassland vegetation types characteristics and ecological problems in the agriculture-pastoral ecotone in northern China[J]. Grassland in China, 2003, 25(3): 2-9. ]
[2]	苏志珠, 马义娟, 刘梅. 中国北方农牧交错带形成之探讨[J]. 山西大学学报(自然科学版), 2003, 26(3): 269-273.
	[Su Zhizhu, Ma Yijuan, Liu Mei. Study on the formation of transitional belt between agriculture and animal husbandry in northern China[J]. Journal of Shanxi University (Natural Science Edition), 2003, 26(3): 269-273. ]
[3]	崔潇, 王永生, 施琳娜. 北方农牧交错带人地系统耦合协调的时空特征及障碍因子[J]. 农业资源与环境学报, 2023, 40(1): 206-217.
	[Cui Xiao, Wang Yongsheng, Shi Linna. Spatio-temporal characteristics and obstacle factors of human-land system coupling coordination in farming pastoral ecotone of northern China[J]. Journal of Agricultural Resources and Environment, 2023, 40(1): 206-217. ]
[4]	任涵, 张静静, 朱文博, 等. 太行山淇河流域土地利用变化对生境的影响[J]. 地理科学进展, 2018, 37(12): 1693-1704. doi: 10.18306/dlkxjz.2018.12.011
	[Ren Han, Zhang Jingjing, Zhu Wenbo, et al. Impact of land use change on habitat in the Qihe River Basin of Taihang Mountains[J]. Advances in Geography Science, 2018, 37(12): 1693-1704. ]
[5]	Ray T C, Dickson G B, Sisk D T, et al. Spatial application of a predictive wildlife occurrence model to assess alternative forest management scenarios in northern Arizona[J]. Forest Ecology and Management, 2014, 322(39): 117-126. ]
[6]	吴健生, 曹祺文, 石淑芹, 等. 基于土地利用变化的京津冀生境质量时空演变[J]. 应用生态学报, 2015, 26(11): 3457-3466.
	[Wu Jiansheng, Cao Qiwen, Shi Shuqin, et al. Spatio-temporal variability of habitat quality in Beijing-Tianjin-Hebei Area based on land use change[J] Chinese Journal of Applied Ecology, 2015, 26(11): 3457-3466. ] pmid: 26915203
[7]	Dai L, Li S, Lewis B J, et al. The influence of land use change on the spatial-temporal variability of habitat quality between 1990 and 2010 in Northeast China[J]. Journal of Forestry Research, 2019, 30(6): 2227-2236.
[8]	王志强, 陈志超, 郝成元. 基于HSI模型的扎龙国家级自然保护区丹顶鹤繁殖生境适宜性评价[J]. 湿地科学, 2009, 7(3): 197-201.
	[Wang Zhiqiang, Chen Zhichao, Hao Chengyuan. Breeding habitat suitability evaluation of Red-crown Crane in Zhalong National Nature Reserve by the Method of Habitat Suitability Index[J]. Wetland Science, 2009, 7(3): 197-201. ]
[9]	白晓娟, 陈海, 刘迪, 等. 基于MaxEnt模型的生态系统服务需求及其簇的空间分异——以陕西省米脂县为例[J]. 生态学报, 2023, 43(7): 2745-2755.
	[Bai Xiaojuan, Chen Hai, Liu Di, et al. Spatial differentiation of ecosystem services demand and its bundles based on MaxEnt model: A case study of Mizhi County, Shaanxi Province, China[J]. Acta Ecologica Sinica, 2023, 43(7): 2745-2755. ]
[10]	谢怡凡, 姚顺波, 邓元杰, 等. 延安市退耕还林(草)工程对生境质量时空格局的影响[J]. 中国生态农业学报, 2020, 28(4): 575-586.
	[Xie Yifan, Yao Shunbo, Deng Yuanjie, et al. Impact of the ‘Grain for Green’ project on the spatial and temporal pattern of habitat quality in Yan’an City, China[J]. Chinese Journal of Eco-Agriculture, 2020, 28(4): 575-586. ]
[11]	郑亚平, 张俊华, 田惠文, 等. 大别山区生境质量时空特征及自然—人为因素驱动机制[J]. 环境科学, 2024, 45(4): 2268-2279.
	[Zheng Yaping, Zhang Junhua, Tian Huiwen, et al. Spatio-temporal characteristics of habitat quality and natural-human driven mechanism in Dabie Mountain Area[J]. Environmental Science, 2024, 45(4): 2268-2279. ]
[12]	王鹏, 秦思彤, 胡慧蓉. 近30 a拉萨河流域土地利用变化和生境质量的时空演变特征[J]. 干旱区研究, 2023, 40(3): 492-503. doi: 10.13866/j.azr.2023.03.15
	[Wang Peng, Qin Sitong, Hu Huirong. Spatial-temporal evolution characteristics of land use change and habitat quality in the Lhasa River Basin over the past three decades[J]. Arid Zone Research, 2023, 40(3): 492-503. ] doi: 10.13866/j.azr.2023.03.15
[13]	苏迎庆, 刘庚, 赵景波, 等. 基于FLUS模型的汾河流域生态空间多情景模拟预测[J]. 干旱区研究, 2021, 38(4): 1152-1161. doi: 10.13866/j.azr.2021.04.27
	[Su Yingqing, Liu Geng, Zhao Jingbo, et al. Multi-scenario simulation prediction of ecological space in the Fenhe River Basin using the FLUS model[J]. Arid Zone Research, 2021, 38(4): 1152-1161. ] doi: 10.13866/j.azr.2021.04.27
[14]	荣月静, 张慧, 王岩松. 基于Logistic-CA-Markov与InVEST 模型对南京市土地利用与生物多样性功能模拟评价[J]. 水土保持研究, 2016, 23(3): 82-89.
	[Rong Yuejing, Zhang Hui, Wang Yansong. Assessment on land use and biodiversity in Nanjing based on Logistic-CA-Markov and InVEST Model[J]. Research of Soil and Water Conservation, 2016, 23(3): 82-89. ]
[15]	刘孟竹, 张红娟, 任贺宇, 等. 退耕还林背景下北方农牧交错带土壤保持功能时空变化[J]. 水土保持研究, 2021, 28(5): 172-178.
	[Liu Mengzhu, Zhang Hongjuan, Ren Heyu, et al. Spatio-temporal variations of the soil conservation function in the Agro-pastoral Ecotone of northern China Under grain for green program[J]. Research of Soil and Water Conservation, 2021, 28(5): 172-178. ]
[16]	邱嘉琦, 于德永. 中国北方农牧交错带生态系统服务空间格局及影响因子—以内蒙古中西部地区为例[J]. 生态学报, 2023, 43(18): 7598-7609.
	[Qiu Jiaqi, Yu Deyong. Spatial patterns and influence factors of ecosystem services in the agro-pastoral ecotone of northern China: Taking the central and western regions of the Inner Mongolia as an example[J]. Acta Ecologica Sinica, 2023, 43(18): 7598-7609. ]
[17]	白舒婷. 中国北方农牧交错带生态系统服务时空变化及权衡与协同研究[D]. 北京: 中国科学院大学, 2023.
	[Bai Shuting. Spatio-temporal Changes,Trade-offs and Synergies of Ecosystem Services in Farming-Pastoral Ecotone of Northern China[D]. Beijing: University of Chinese Academy of Science, 2023. ]
[18]	石晓丽, 史文娇. 北方农牧交错带界线的变迁及其驱动力研究进展[J]. 农业工程学报, 2018, 34(20): 1-11.
	[Shi Xiaoli, Shi Wenjiao. Review on boundary shift of farming-pastoral ecotone in northern China and its driving forces[J]. Transactions of the Chinese Society of Agricultural Engineering, 2018, 34(20): 1-11. ]
[19]	徐新良, 刘纪远, 张树文, 等. 中国多时期土地利用土地覆被遥感监测数据集(CNLUCC)[DB/OL]. 资源与环境数据云平台, 2018.
	[Xu Xinliang, Liu Jiyuan, Zhang Shuwen, et al. China’s multi-period land use land cover remote sensing monitoring data set (CNLUCC)[DB/OL]. Resource and Environment Data Cloud Platform, 2018. ]
[20]	徐苏, 张永勇, 窦明, 等. 长江流域土地利用时空变化特征及其径流效应[J]. 地理科学进展, 2017, 36(4): 426-436. doi: 10.18306/dlkxjz.2017.04.004
	[Xu Su, Zhang Yongyong, Dou Ming, et al. Spatial distribution of land use change in the Yangtze River Basin and the impact on runoff[J]. Progress in Geography, 2017, 36(4): 426-436. ] doi: 10.18306/dlkxjz.2017.04.004
[21]	Sharp R, Douglass J, et al. InVEST 3. 8. 9. User’s Guide[M]. The Natural Capital Project, Stanford University, 2020.
[22]	王琦琨, 武玮, 杨雪琪, 等. 陕西省生境质量时空演变及驱动机制分析[J]. 干旱区研究, 2022, 39(5): 1684-1694. doi: 10.13866/j.azr.2022.05.32
	[Wang Qikun, Wu Wei, Yang Xueqi, et al. Spatial-temporal changes and driving factors of habitat quality in Shanxi Province during the past 20 years[J]. Arid Zone Research, 2022, 39(5): 1684-1694. ] doi: 10.13866/j.azr.2022.05.32
[23]	张晓东, 武丹, 王莹, 等. 耦合InVEST与Geodetector模型的银川市生境质量时空演变特征及影响因子研究[J]. 干旱区地理, 2024, 47(7): 1242-1251. doi: 10.12118/j.issn.1000-6060.2023.563
	[Zhang Xiaodong, Wu Dan, Wang Ying, et al. Spatiotemporal evolution characteristics and influencing factors of habitat quality in Yinchuan City by coupling InVEST and Geodetector models[J]. Arid Land Geography, 2024, 47(7): 1242-1251. ] doi: 10.12118/j.issn.1000-6060.2023.563
[24]	Fang L, Liu Y, Li C, et al. Spatiotemporal characteristics and future scenario simulation of the trade-offs and synergies of mountain ecosystem services: A case study of the Dabie Mountains Area, China[J]. Chinese Geographical Science, 2023, 33(1): 144-160.
[25]	Wang J F, Li X H, Christakos G, et al. Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun Region, China[J]. International Journal of Geographical Information Science, 2010, 24(1): 107-127.
[26]	奥勇, 蒋嶺峰, 白召弟, 等. 基于格网GIS的黄河流域土地生态质量综合评价[J]. 干旱区地理, 2022, 45(1): 164-175. doi: 10.12118/j.issn.1000–6060.2021.127
	[Ao Yong, Jiang Lingfeng, Bai Zhaodi, et al. Comprehensive evaluation of land ecological quality in the Yellow River Basin based on Grid-GIS[J]. Arid Land Geography, 2022, 45(1): 164-175. ] doi: 10.12118/j.issn.1000–6060.2021.127
[27]	Liu X P, Liang X, Li X, et al. A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects[J]. Landscape and Urban Planning, 2017, 168(32): 94-116.
[28]	Qi B, Yu M, Li Y. Multi-scenario prediction of land-use changes and ecosystem service values in the Lhasa River Basin based on the FLUS-Markov Model[J]. Land, 2024, 13(5): 597-621.
[29]	李井浩, 柳书俊, 王志杰. 基于FLUS和InVEST模型的云贵高原土地利用与生态系统服务时空变化多情景模拟研究[J]. 水土保持研究, 2024, 31(3): 287-298.
	[Li Jinghao, Liu Shujun, Wang Zhijie. Multi-scenario simulation of spatio-temporal changes of land use and ecosystem services in Yunnan-Guizhou Plateau based on FLUS and InVEST Models[J]. Research of Soil and Water Conservation, 2024, 31(3): 287-298. ]
[30]	史志刚. 大别山区水土保持工作探析[J]. 中国水利, 2012, 62(12): 31-32.
	[Shi Zhigang. Analysis of soil and water conservation in Dabie Mountains[J]. China Water Resources, 2012, 62(12): 31-32. ]
[31]	Terrado M, Sabater S, Chaplin-Kramer B, et al. Model development for the assessment of terrestrial and aquatic habitat quality in conservation planning[J]. Science of The Total Environment, 2016, 540(47): 63-70.
[32]	张晓龙, 周继华, 刘焱序, 等. 气候变化和人类活动对内蒙古灌木林分布的影响[J]. 生态学报, 2020, 40(10): 3237-3248.
	[Zhang Xiaolong, Zhou Jihua, Liu Yanxu, et al. Impacts of climate change and human activities on the distribution of shrubbery in Inner Mongolia[J]. Acta Ecologica Sinica, 2020, 40(10): 3237-3248. ]
[33]	苏军德, 赵晓冏, 李国霞, 等. 祁连山国家自然保护区生境质量时空特征及驱动因素分析[J]. 中国环境科学, 2024, 44(5): 2595-2605.
	[Su Dejun, Zhao Xiaojiong, Li Guoxia, et al. Spatial and temporal characteristics and driving factors of habitat quality in Qilian Mountain National Nature Reserve[J]. China Environmental Science, 2024, 44(5): 2595-2605. ]

威胁源	权重	最大影响距离/km	衰退类型
耕地	0.21	2	线性衰退
城乡居民点	0.32	5	指数衰退
未利用地	0.32	10	线性衰退

土地利用类型	生境适宜度	敏感度
土地利用类型	生境适宜度	耕地	城乡居民点	未利用地
耕地	0.5	0.3	0.4	0.3
林地	0.9	0.6	0.8	0.8
草地	0.5	0.5	0.55	0.6
水域	0.8	0.7	0.8	0.9
城乡居民点	0	0	0	5
未利用地	0	0	0	0

类型	趋势发展						经济发展
类型	耕地	林地	草地	水域	建设用地	未利用地	耕地	林地	草地	水域	建设用地	未利用地
耕地	1	0	1	0	1	1	1	0	1	0	1	1
林地	0	1	1	0	1	1	1	1	1	0	0	0
草地	1	1	1	1	1	1	1	1	1	1	1	1
水域	0	1	1	1	1	1	1	0	1	1	0	1
建设用地	1	0	1	0	1	1	0	0	0	0	1	0
未利用地	1	1	1	0	1	1	1	1	1	0	1	1
类型	耕地保护						生态保护
类型	耕地	林地	草地	水域	建设用地	未利用地	耕地	林地	草地	水域	建设用地	未利用地
耕地	1	0	0	0	0	0	1	0	0	0	0	0
林地	1	1	1	0	0	1	0	1	0	0	0	0
草地	1	1	1	0	1	1	0	1	1	1	0	0
水域	1	0	0	1	0	1	0	0	0	1	0	0
建设用地	0	0	0	0	1	0	0	0	0	0	1	0
未利用地	1	1	1	1	1	1	1	1	1	1	1	1

2000年	2020年
2000年	耕地	林地	草地	水域	建设用地	未利用地
耕地	206085	6804	16922	810	5610	871
林地	3359	99784	4880	175	722	186
草地	13991	9789	263569	445	2874	2354
水域	852	178	340	9226	152	1185
建设用地	1226	170	323	37	11859	46
未利用地	1436	273	2873	288	537	35977

土地利用类型	2020年	2040年
土地利用类型	2020年	趋势发展	生态保护	经济发展	耕地保护
耕地	226956	223700	227286	223700	227146
林地	117012	100628	119175	104986	101452
草地	288918	306667	288756	306665	306665
水域	10983	10578	10985	10886	10968
建设用地	21756	26424	21791	21756	21761
未利用地	40619	38247	38251	38251	38252

Spatiotemporal evolution and scenario simulation of habitat quality in the agro-pastoral ecotone of northern China

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生境质量	2020年	2040年
生境质量	2020年	趋势发展	生态保护	经济发展	耕地保护
低	62375	64671	60042	60007	60013
较低	144609	105034	107312	145490	107416
中等	380003	438444	423420	392848	439357
较高	24608	25162	27122	22523	23719
高	94649	72933	88348	85376	75739

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