Changes in landscape patterns and their driving factors of the typical dune alternated with meadow area in the Horqin Sandy Land

doi:10.7522/j.issn.1000-694X.2025.00181

Journal of Desert Research ›› 2025, Vol. 45 ›› Issue (4): 285-294.DOI: 10.7522/j.issn.1000-694X.2025.00181

Changes in landscape patterns and their driving factors of the typical dune alternated with meadow area in the Horqin Sandy Land

Haifu Fang¹^,²(), Yulin Li¹(), Yanqing Li²^,³, Yuyin Mo³, Jin Zhan⁴, Zhijia Luo³

^1.State Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands / Naiman Desertification Research Station，Northwest Institute of Eco-Environment and Resource，Chinese Academy of Sciences，Lanzhou 730000，China
^2.University of Chinese Academy of Sciences，Beijing 100049，China
^3.College of Environment and Resource，Guangxi Normal University，Guilin 541004，Guangxi，China
^4.Gansu Desert Control Research Institute，Lanzhou 730070，China

Received:2025-05-18 Revised:2025-06-30 Online:2025-07-20 Published:2025-08-18
Contact: Yulin Li

Abstract

Abstract:

As a major ecologically fragile area， the landscape pattern changes in the typical dune alternated with meadow area in Horqin sand directly reflect the interaction between human activities and climate change. Based on the 2000-2020 land use dataset， this study extracted and analyzed the spatial and temporal dynamic characteristics and driving factors of the landscape pattern in the study area from 2000 to 2020， using rainfall， evapotranspiration， soil moisture， Water body area and population size as the driving factors， and using the ArcGIS and Fragstats software. The results show that grassland， unused or other land and cropland were the main landscape types（>93%）in the interspersed areas of dune alternated with meadow area in Horqin sand， the area of grassland and water area gradually decrease， landscape fragmentation increases， connectivity decreases， shape is relatively complex， and landscape heterogeneity shows a decreasing trend. climate change can change the spatial configuration of vegetation cover in the study area， which can lead to the transition of sandy landscapes from a continuous matrix to a fragmentation pattern； and demographic changes can increase the richness of landscape types through land-use diversification. Therefore， climate change and population change can jointly drive the transformation of the landscape pattern， clarify the spatial and temporal differences in the study area， optimize the landscape pattern， and provide technical support for the ecological strategy of sand control and prevention in the region.

Key words: Horqin Sandy Land, driving factor, landscape pattern, land use, spatial and temporal variation

CLC Number:

P901

Haifu Fang, Yulin Li, Yanqing Li, Yuyin Mo, Jin Zhan, Zhijia Luo. Changes in landscape patterns and their driving factors of the typical dune alternated with meadow area in the Horqin Sandy Land[J]. Journal of Desert Research, 2025, 45(4): 285-294.

Figures/Tables 10

References 35

[1]	朱江.秦岭火地塘林区森林景观格局变化研究［D］.陕西杨凌：西北农林科技大学，2024.
[2]	蔡青.基于景观生态学的城市空间格局演变规律分析与生态安全格局构建［D］.长沙：湖南大学，2011.
[3]	肖笃宁，李秀珍.当代景观生态学的进展和展望［J］.地理科学，1997（4）：69-77.
[4]	Hargis C D， Bissonette J A， Turner D L.The influence of forest fragmentation and landscape pattern on American martens［J］.Journal of Applied Ecology，1999，36：157-172.
[5]	武晶，刘志民.生境破碎化对生物多样性的影响研究综述［J］.生态学杂志，2014，33（7）：1946-1952.
[6]	赵文武，刘月，冯强，等.人地系统耦合框架下的生态系统服务［J］.地理科学进展，2018，37（1）：139-151.
[7]	白金明，王继山，许莹，等.三江并流区林地与草地景观格局变化及其驱动因子［J］.东北林业大学学报，2025，53（3）：46-57.
[8]	王泉泉，王行，张卫国，等.滇西北高原湿地景观变化与人为、自然因子的相关性［J］.生态学报，2019，39（2）：726-738.
[9]	杨珺，李豪，马青，等.汾河流域土地利用景观格局演变及其驱动因素探究［J］.西北农林科技大学学报（自然科学版），2024，52（6）：83-94.
[10]	阿依吐尔逊·沙木西，古丽米热·艾尔肯，史彦松.克拉玛依市土地利用景观格局演变的碳排放变化［J］.西南农业学报，2024，37（4）：852-859.
[11]	马小红，冯起，苏永红，等.额济纳绿洲1980-2020年土地利用/覆被变化［J］.中国沙漠，2025，45（6）：1-11.
[12]	王梦竹，许珊珊，杨夏玲，等.南流江流域景观格局变化对水沙过程的影响［J］.中国水土保持，2025（4）：50-54.
[13]	刘宣园，管超毅，张明霞，等.保护区缓解耕地扩张对喀斯特森林景观破碎化的影响研究［J］.广西师范大学学报（自然科学版），2023，41（6）：202-210.
[14]	Jaeger J A G， Bertiller R， Schwick C，et al.Urban permeation of landscapes and sprawl per capita：new measures of urban sprawl［J］.Ecological Indicators，2010，10：427-441.
[15]	Song Y， Chung E， Shahid S.Spatiotemporal differences and uncertainties in projections of precipitation and temperature in South Korea from CMIP6 and CMIP5 general circulation models［J］.International Journal of Climatology，2021，41（13）：5899-5919.
[16]	Zhang G， Biradar C M， Xiao X.Exacerbated grassland degradation and desertification in Central Asia during 2001［J］.Ecological Applications，2018，28（2）：442-456.
[17]	刘玉祯，赵新全，董全民，等.放牧对草地生态系统结构与功能影响的研究进展［J］.草地学报，2023，31（8）：2253-2262.
[18]	崔灏，韦刚健.青藏高原周缘始新世-渐新世气候转换期风化演变及其对全球及区域气候环境变化的响应［J］.地学前缘，2025，32（3）：274-287.
[19]	Lyu Y， Chen H， Cheng Z，et al.Identifying the impacts of land use landscape pattern and climate changes on streamflow from past to future［J］.Journal of Environment Management，2023，345：118910.
[20]	Luo K， Tao F， Moiwo J P，et al.Attribution of hydrological change in Heihe River Basin to climate and land use change in the past three decades［J］.Scientific Reports，2016，6：33704.
[21]	Song C， Kim W， Kim J，et al.Spatial assessment of land degradation using MEDALUS focusing on potential afforestation and reforestation areas in Ethiopia［J］.land Degradation Development，2021，33：79-93.
[22]	张晓丽，吴勇，黄天宝，等.昆明市景观格局时空动态变化对人为干扰的响应［J］.西南林业大学学报（自然科学），2025，45（1）：128-136.
[23]	连杰，赵学勇，左小安，等.科尔沁沙地水域景观格局的时空动态：以奈曼旗为例［J］.中国沙漠，2012，32（1）：210-218.
[24]	红格尔.近100年科尔沁沙地土地沙漠化时空变化研究：以科尔沁左翼后旗为例［D］.呼和浩特：内蒙古师范大学，2007.
[25]	马扩.科尔沁沙丘-草甸相间地区生态水文协同健康评价与生态安全格局研究［D］.呼和浩特：内蒙古农业大学，2023.
[26]	赵哈林，大黑俊哉，李玉霖，等.人类放牧活动与气候变化对科尔沁沙质草地植物多样性的影响［J］.草业学报，2008，17（5）：1-8.
[27]	陈雪萍，赵学勇，张晶，等.基于地理探测器的科尔沁沙地植被NDVI时空变化特征及其驱动因素［J］.植物生态学报，2023，47（8）：1082-1093.
[28]	周添红，苏思霖，马凯，等.典型区域土地利用/景观格局对黄河上游水体TN的影响［J］.环境科学，2024，45（10）：5768-5776.
[29]	沈飞雪.基于土地利用强度的植被变化自然-人为交互影响研究［D］.南京：南京大学，2021.
[30]	邹亚东，何亮，张晓萍，等.基于GEE数据平台的北洛河流域1970-2019年土地利用结构变化特征［J］.水土保持通报，2021，41（6）：209-219.
[31]	王晓璐，王承武，蒯欣冉，等.乌鲁木齐市土地利用景观格局演变及其生态效应［J］.中南农业科技，2025，46（4）：105-110．
[32]	史美龄，王文超，宋婷婷.基于RS与GIS的蒙阴县土地利用及景观格局分析［J］.北京测绘，2025，39（5）： 696-703.
[33]	刘芳，闫慧敏，刘纪远，等.21世纪初中国土地利用强度的空间分布格局［J］.地理学报，2016，71（7）：1130-1143.
[34]	柏叶辉，李洪忠，李向新，等.1990年以来4个时期深圳市海岸线与海岸带景观格局及其对人类活动强度的响应［J］.湿地科学，2019，17（3）：335-343.
[35]	Zou L， Wang J， Bai M.Assessing spatial-temporal heterogeneity of China's landscape fragmentation in 1980-2020［J］.Ecological Indicators，2022，136：108654.

年份	耕地		林地		草地		水域		建设用地		未利用土地
年份	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/%	面积/km²	占比/%
2000	1 383	17.50	157	1.99	4 189	53.01	243	3.07	112	1.42	1 819	23.02
2005	1 412	17.87	156	1.97	4 152	52.54	230	2.91	112	1.42	1 841	23.30
2010	1 413	17.88	156	1.97	4 133	52.30	230	2.91	112	1.42	1 859	23.52
2015	1 413	17.88	159	2.01	4 132	52.28	226	2.86	114	1.44	1 859	23.52
2020	1 404	17.75	162	2.05	4 057	51.28	233	2.94	125	1.58	1 931	24.41

年份	耕地		林地		草地		水域		建设用地		未利用土地
年份	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/%	面积/km²	占比/%
2000	1 383	17.50	157	1.99	4 189	53.01	243	3.07	112	1.42	1 819	23.02
2005	1 412	17.87	156	1.97	4 152	52.54	230	2.91	112	1.42	1 841	23.30
2010	1 413	17.88	156	1.97	4 133	52.30	230	2.91	112	1.42	1 859	23.52
2015	1 413	17.88	159	2.01	4 132	52.28	226	2.86	114	1.44	1 859	23.52
2020	1 404	17.75	162	2.05	4 057	51.28	233	2.94	125	1.58	1 931	24.41

驱动因子	CONTAG	SHDI	SHEI	NP	LPI	LSI	AI
降水	-0.3930	0.1334	-0.0416	0.4407^*	-0.1785	0.5070	-0.3424
实际蒸散发	-0.4069	0.1900	-0.1793	0.7226^**	0.0537	0.7110^**	-0.6439^**
土壤湿度	-0.1856	-0.2836	-0.3452	0.8108^**	0.0279	0.8807^**	-0.8052^**
水体面积	-0.1161	0.0164	-0.2474	0.5044^*	0.1693	0.4535	-0.5029^*
人口	-0.3740	0.5758^**	0.4150	-0.2394	-0.1684	-0.2442	0.3697

驱动因子	CONTAG	SHDI	SHEI	NP	LPI	LSI	AI
降水	-0.3930	0.1334	-0.0416	0.4407^*	-0.1785	0.5070	-0.3424
实际蒸散发	-0.4069	0.1900	-0.1793	0.7226^**	0.0537	0.7110^**	-0.6439^**
土壤湿度	-0.1856	-0.2836	-0.3452	0.8108^**	0.0279	0.8807^**	-0.8052^**
水体面积	-0.1161	0.0164	-0.2474	0.5044^*	0.1693	0.4535	-0.5029^*
人口	-0.3740	0.5758^**	0.4150	-0.2394	-0.1684	-0.2442	0.3697

Changes in landscape patterns and their driving factors of the typical dune alternated with meadow area in the Horqin Sandy Land

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 10

References 35

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	Bo Yao, Jie Lian, Xiangwen Gong, Xiaoming Mou, Yulin Li, Yuqiang Li, Xuyang Wang. Spatial patterns and influencing factors of soil microbial carbon， nitrogen and phosphorus stoichiometry in Horqin Sandy Land [J]. Journal of Desert Research, 2025, 45(4): 153-165.
[2]	Xueping Chen, Xueyong Zhao, Haiyan Zhuang, Yulai Qiao, Hongmei Yu, Jing Zhang. Characteristics of groundwater depth in Naiman， Inner Mongolia in 1985-2020 [J]. Journal of Desert Research, 2025, 45(4): 166-175.
[3]	Jianpeng Zhang, Luming Lei, Yuqiang Li, Tianai Li, Xueyong Zhao, Haotong Ren, Hong Jia, Yangyang Wang, Lihan Cui. Sustainability assessment of human-earth systems from ecosystem service supply-demand perspectives： evidence from Horqin Sandy Land， China [J]. Journal of Desert Research, 2025, 45(4): 176-189.
[4]	Zhiying Ning, Yulin Li, Xueyong Zhao, Yanjun Zhang, Haibing Wang, Min Yan, Ruimin Liu, Heju Zuo. Effects litter decomposition characteristics of dominant plants on soil microbial community in Horqin Sandy Land [J]. Journal of Desert Research, 2025, 45(4): 190-199.
[5]	Delong Zhou, Yongfang Wang, Enliang Guo, Ying Hong, Haowen Ma, Quanfei Mu, Yanli Wang. Evolution and prediction of habitat quality in the Horqin Sandy Land [J]. Journal of Desert Research, 2025, 45(4): 211-226.
[6]	Huilin Zhang, Weiguo Wang, Yilan Bo, Zizhen Jin. Spatiotemporal dynamics of wind erosion prevention and sand fixation service in the Horqin Sandy Land [J]. Journal of Desert Research, 2025, 45(4): 227-240.
[7]	Ning Wang, Anqi Cong, Xueping Chen, Xinping Liu. The characteristics of farmland area changes and dust source control in the Horqin Sandy Land [J]. Journal of Desert Research, 2025, 45(4): 253-261.
[8]	Wenjie Cao, Yun Chen, Yuqiang Li, Xuyang Wang, Xiangwen Gong, Zichen Guo. Impact of long-term enclosure of severely desertified grasslands on plant communities in the Horqin Sandy Land [J]. Journal of Desert Research, 2025, 45(4): 262-271.
[9]	Shiyao Zhong, Chuanhua Li, Pengfei Qiao. Vegetation abrupt changes and attribution in the arid and semi-arid regions of Northwest China under aridity gradients from 2000 to 2020 [J]. Journal of Desert Research, 2025, 45(2): 275-283.
[10]	Hong Jia, Jianpeng Zhang, Lianyou Liu, Jifu Liu, Siqi Yang. Variation and multi-scenario simulation of habitat quality in the Gonghe Basin， China [J]. Journal of Desert Research, 2025, 45(2): 29-36.
[11]	gaowa Saren, Yuanyuan Zhao, Xinzhi Geng, Yue Wang, Guanglei Gao. Sustainability assessment of the human-earth system in the sandy areas of Inner Mongolia from 2000 to 2020 [J]. Journal of Desert Research, 2025, 45(2): 71-82.
[12]	Juanjuan Wu, Jun Du, Xurigan, Wen Wang, Chenxin Miao, Xia Ren, Zhiru Yang, Fangyuan Cao, Mingyue Mao. Land use change characteristics and driving forces in the Ten Tributaries Basin， Inner Mongolia [J]. Journal of Desert Research, 2024, 44(6): 100-109.
[13]	Yanyan Dai, Yiting Jiang, Pengfei Zhang, Geng Liu, Lei Zhang. Coupling coordination and driving factors between water resources and planting structure in Shanxi， China [J]. Journal of Desert Research, 2024, 44(6): 37-47.
[14]	Wanyun Luo, Mingqian Rong, Shihao Guo. A study on the differences and influencing factors of farmland utilization efficiency of farmers in desertified areas from the perspective of resource dependence：based on survey data of farmers in the four prefectures of southern Xinjiang [J]. Journal of Desert Research, 2024, 44(5): 105-115.
[15]	Xiao Wang, Bing Liu, Wenzhi Zhao, Weichun Qin, Bo Zhang, Rui Zhu, Wanxue You. Characteristics of ecological service value and ecological risk changes in Ningxia， China in 1980-2020 [J]. Journal of Desert Research, 2024, 44(5): 182-194.