黄河流域国家湿地公园时空分异、重心演化与驱动因素分析

doi:10.12118/j.issn.1000-6060.2023.365

Abstract

Abstract:

Wetland parks are crucial to China's natural protection system. Strengthening the construction and management of national wetland parks holds immense importance for effectively protecting wetland resources and harnessing the full ecological potential of wetlands. Focusing on the national wetland parks in the Yellow River Basin of China, this study employs kernel density estimation, hot spot analysis, standard deviation ellipse, and a geographical detective model to investigate the spatiotemporal differentiation, center of gravity evolution, and driving factors of wetland parks in 2010, 2015, and 2022. The results include the following: (1) In 2010, wetland parks in the Yellow River Basin presented a “double core and multiple points” density feature, evolving into a “multi-core and continuous patch” distribution trend in 2015 and 2022. The number and area of parks greatly increased, underscoring their growing role in regional economic development and ecological protection. (2) From 2010 to 2022, the spatial center of gravity of national wetland parks moved 247.31 km to the northeast, revealing a distinct “northeast-southwest” directional feature in its distribution pattern. Interbasin differences highlighted the largest movement of spatial center of gravity in wetland parks in the middle reaches of the Yellow River and the smallest movement in downstream provinces. (3) Natural environmental factors have a limited impact on the number and distribution of wetland parks, whereas social and economic factors decisively influence wetland protection, restoration, and park construction. Notably, the per capita regional gross domestic product and the digital elevation model have the greatest effect on the dimensions of social and natural driving, respectively.

Key words: national wetland park, spatiotemporal differentiation, center of gravity evolution, driving factors, Yellow River Basin

ZHOU Cheng, ZHAO Yaling, REN Minmin, JIN Yiting, LYU Sisi. Spatiotemporal differentiation, center of gravity evolution and driving factors of national wetland parks in the Yellow River Basin[J].Arid Land Geography, 2024, 47(3): 506-514.

Figures/Tables 5

Fig. 1

Fig. 2

Fig. 3

Tab. 1

Tab. 2

References 31

[1]	国家林业和草原局. 关于印发《国家湿地公园管理办法》的通知[EB/OL]. [2023-01-04]. ttps://www.forestry.gov.cn/main/5925/20230104/150501064352589.html.
	[National Forestry and Grassland Administration. Notice of issuance of the “National Wetland Park Management Regulations”[EB/OL]. [2023-01-04]. https://www.forestry.gov.cn/main/5925/20230104/150501064352589.html.]
[2]	求是网. 习近平在《湿地公约》第十四届缔约方大会开幕式上的致辞[EB/OL]. [2022-11-05]. http://www.qstheory.cn/yaowen/2022-11/05/c_1129104349.htm.
	[Qiushi Network. Xi Jinping's speech at the opening ceremony of the 14^th Conference of the Parties to the “Ramsar Convention”[EB/OL]. [2022-11-05]. http://www.qstheory.cn/yaowen/2022-11/05/c_1129104349.htm.]
[3]	Middleton B A, van der Valk A G, Davis C A. Responses to water depth and clipping of twenty-three plant species in an Indian monsoonal wetland[J]. Aquatic Botany, 2015, 126: 38-47. doi: 10.1016/j.aquabot.2015.06.004
[4]	Julian P, Chambers R, Russell T. Iron and pyritization in wetland soils of the Florida coastal everglades[J]. Estuaries and Coasts, 2017, 40(3): 822-831. doi: 10.1007/s12237-016-0180-3
[5]	Pitt A L, Howard J H, Baldwin R F, et al. Small parks as local social-ecological systems contributing to conservation of small isolated and ephemeral wetlands[J]. Natural Areas Journal, 2018, 38(4): 237-249. doi: 10.3375/043.038.0404
[6]	Aguilera H, Moreno L, Wesseling J G, et al. Soil moisture prediction to support management in semiarid wetlands during drying episodes[J]. Catena, 2016, 147: 709-724. doi: 10.1016/j.catena.2016.08.007
[7]	Della B H, Gillespie J. Bringing the swamp in from the periphery: Australian wetlands as sites of climate resilience and political agency[J]. Journal of Environmental Planning and Management, 2020, 63(9): 1616-1632. doi: 10.1080/09640568.2019.1679100
[8]	Rashid I, Aneaus S. Landscape transformation of an urban wetland in Kashmir Himalaya, India using high-resolution remote sensing data, geospatial modeling, and ground observations over the last 5 decades (1965—2018)[J]. Environmental Monitoring and Assessment, 2020, 192(10): 635, doi: 10.1007/s10661-020-08597-4. pmid: 32918115
[9]	Chaikumbung M, Doucouliagos H, Scarborough H. Institutions, culture, and wetland values[J]. Ecological Economics, 2019, 157: 195-204. doi: 10.1016/j.ecolecon.2018.11.014
[10]	Maltchik L, Caleffi V, Stenert C, et al. Legislation for wetland conservation in Brazil: Are existing terms and definitions sufficient?[J]. Environmental Conservation, 2018, 45(3): 301-305. doi: 10.1017/S0376892917000522
[11]	Tait M K, Brunson M W. Barriers and opportunities for cooperative wetland management: A case study in the greater Rocky Mountain National Park ecosystem[J]. Wetlands Ecology and Management, 2021, 30(2): 257-272. doi: 10.1007/s11273-021-09849-x
[12]	Clare S, Creed I F. Tracking wetland loss to improve evidence-based wetland policy learning and decision making[J]. Wetlands Ecology and Management, 2014, 22(3): 235-245. doi: 10.1007/s11273-013-9326-2
[13]	Lamsal P, Atreya K, Pat K P, et al. Tourism and wetland conservation: Application of travel cost and willingness to pay an entry fee at Ghodaghodi Lake Complex, Nepal[J]. Natural Resources Forum, 2016, 40(1-2): 51-61. doi: 10.1111/narf.2016.40.issue-1-2
[14]	李群, 赵辉, 赵成章, 等. 洮河国家湿地公园主要植物群落多样性对土壤环境因子的响应[J]. 生态学报, 2022, 42(7): 2674-2684.
	[Li Qun, Zhao Hui, Zhao Chengzhang, et al. Response of main plant community diversity to soil environmental factors in Taohe National Wetland Park[J]. Acta Ecologica Sinica, 2022, 42(7): 2674-2684.]
[15]	左怡琳, 刘展辰, 张帅, 等. 江苏南湖国家湿地公园鸟类群落的时空变化[J]. 湿地科学与管理, 2018, 14(2): 46-49.
	[Zuo Yilin, Liu Zhanchen, Zhang Shuai, et al. Temporal and spatial variation of bird community in Jiangsu Nanhu National Wetland Park[J]. Wetland Science & Management, 2018, 14(2): 46-49.]
[16]	陈炜, 张雨珂, 炊雯, 等. 黄土高原湿地生态系统服务功能价值评估——以陕西省千湖国家湿地公园为例[J]. 水土保持通报, 2019, 39(4): 270-274, 280.
	[Chen Wei, Zhang Yuke, Chui Wen, et al. Evaluation on ecosystem service values of wetland in Loess Plateau: A case study at Qianhu National Wetland Park, Shaanxi Province[J]. Bulletin of Soil and Water Conservation, 2019, 39(4): 270-274, 280.]
[17]	潘明欣, 张力小, 胡潭高, 等. 城市湿地生态系统服务动态演化及其权衡关系——以杭州西溪湿地为例[J]. 北京师范大学学报(自然科学版), 2022, 58(6): 893-900.
	[Pan Mingxin, Zhang Lixiao, Hu Tangao, et al. Temporal and spatial changes and trade-offs analysis of urban wetland ecosystem services: A case study of Xixi Wetland in Hangzhou[J]. Journal of Beijing Normal University (Natural Science Edition), 2022, 58(6): 893-900.]
[18]	董冬, 罗毅, 王丽宸, 等. 2019年安徽省焦岗湖国家湿地公园游憩资源经济价值评估[J]. 湿地科学, 2021, 19(5): 558-566.
	[Dong Dong, Luo Yi, Wang Lichen, et al. Economic valuation of recreational resources in Jiaogang Lake National Wetland Park of Anhui Province in 2019[J]. Wetland Science, 2021, 19(5): 558-566.]
[19]	潘竟虎, 张建辉. 中国国家湿地公园空间分布特征与可接近性[J]. 生态学杂志, 2014, 33(5): 1359-1367.
	[Pan Jinghu, Zhang Jianhui. Spatial distribution characteristics and accessibility of national wetland parks in China[J]. Chinese Journal of Ecology, 2014, 33(5): 1359-1367.]
[20]	周婷, 牛安逸, 马姣娇, 等. 国家湿地公园时空格局特征[J]. 自然资源学报, 2019, 34(1): 26-39. doi: 10.31497/zrzyxb.20190103
	[Zhou Ting, Niu Anyi, Ma Jiaojiao, et al. Spatio-temporal pattern of national wetland parks[J]. Journal of Natural Resources, 2019, 34(1): 26-39.] doi: 10.31497/zrzyxb.20190103
[21]	刘汉湖, 刘奕, 宋景辉, 等. 中国湿地公园空间分布及其影响因素研究[J]. 湿地科学与管理, 2020, 16(3): 63-68.
	[Liu Hanhu, Liu Yi, Song Jinghui, et al. Spatial distribution patterns and influence factors of wetland parks in China[J]. Wetland Science & Management, 2020, 16(3): 63-68.]
[22]	樊涵, 刘佳梅, 杨朝辉, 等. 贵州省不同类型自然保护地空间分异及其影响因素[J]. 云南大学学报(自然科学版), 2023, 45(1): 226-238.
	[Fan Han, Liu Jiamei, Yang Zhaohui, et al. The influence factors of different types of protected areas spatial differentiation in Guizhou Province[J]. Journal of Yunnan University (Natural Sciences Edition), 2023, 45(1): 226-238.]
[23]	吴豫, 李尊, 彭凤姣, 等. 河南省国家湿地公园发展状况及空间分布特征[J]. 绿色科技, 2020(22): 7-11.
	[Wu Yu, Li Zun, Peng Fengjiao, et al. Study of development status quo and spatial distribution characteristics of national wetland parks in Henan Province[J]. Journal of Green Science and Technology, 2020(22): 7-11.]
[24]	周成, 赵亚玲, 张旭红, 等. 黄河流域城市生态韧性与效率时空演化特征及协调发展分析[J]. 干旱区地理, 2023, 46(9): 1514-1523.
	[Zhou Cheng, Zhao Yaling, Zhang Xuhong, et al. Spatiotemporal evolutionary characteristics and coordinated development of urban ecological resilience and efficiency in the Yellow River Basin[J]. Arid Land Geography, 2023, 46(9): 1514-1523.]
[25]	左其亭, 吴青松, 姜龙, 等. 黄河流域多尺度区域界定及其应用选择[J]. 水利水运工程学报, 2022(5): 12-20.
	[Zuo Qiting, Wu Qingsong, Jiang Long, et al. Multi-scale regional definition and its application selection in the Yellow River Basin[J]. Hydro-Science and Engineering, 2022(5): 12-20.]
[26]	周成, 靳轶婷, 周霖, 等. 黄河流域文保单位多尺度空间差异及其与地理环境空间关系研究[J/OL]. 世界地理研究. [2023-09-07]. http://kns.cnki.net/kcms/detail/31.1626.P.20230428.1850.002.html.
	[Zhou Cheng, Jin Yiting, Zhou Lin, et al. Multi-scale spatial heterogeneities of cultural relic protection units in Yellow River Basin and its spatial relationship with geographical environment[J/OL]. World Regional Studies. [2023-09-07]. http://kns.cnki.net/kcms/detail/31.1626.P.20230428.1850.002.html.]
[27]	魏伟, 唐林. 三区空间视角下江汉平原农业空间时空演化及驱动机制分析[J]. 水土保持研究, 2023, 30(2): 369-377.
	[Wei Wei, Tang Lin. Spatial and temporal evolution characteristics and driving mechanism of agriculture in Jianghan Plain from the perspective of three regions[J]. Research of Soil and Water Conservation, 2023, 30(2): 369-377.]
[28]	周成, 周霖, 吕炯彦, 等. 山西省红色文化遗址的空间分异特征与要素关联分析——以不可移动革命文保单位为例[J]. 干旱区资源与环境, 2022, 36(12) :163-171.
	[Zhou Cheng, Zhou Lin, Lü Jiongyan, et al. Spatial differences of red revolution sites in Shanxi Province and its relationship with influencing factors: A case of immovable revolutionary relics[J]. Journal of Arid Land Resources and Environment, 2022, 36(12): 163-171.]
[29]	杨利, 石彩霞, 谢炳庚. 长江流域国家湿地公园时空演变特征及其驱动因素[J]. 经济地理, 2019, 39(11): 194-202.
	[Yang Li, Shi Caixia, Xie Binggeng. Temporal and spatial pattern evolution characteristics and driving factors of national wetland parks in the Yangtze River Basin[J]. Economic Geography, 2019, 39(11): 194-202.]
[30]	吴后建, 但新球, 王隆富, 等. 中国国家湿地公园的空间分布特征[J]. 中南林业科技大学学报, 2015, 35(6): 50-57.
	[Wu Houjian, Dan Xinqiu, Wang Longfu, et al. Spatial distribution characteristics of national wetland parks in China[J]. Journal of Central South University of Forestry & Technology, 2015, 35(6): 50-57.]
[31]	巴旗, 吴振, 张诗然, 等. 黄河口湿地植被时空变化及其影响因素[J]. 中国海洋大学学报(自然科学版), 2022, 52(12): 81-94.
	[Ba Qi, Wu Zhen, Zhang Shiran, et al. Temporal and spatial variation of wetland vegetation in the Yellow River (Huanghe) Mouth and its influencing factors[J]. Periodical of Ocean University of China (Natural Science Edtion), 2022, 52(12): 81-94.]

驱动维度	序号	细分因子	依据	单位	q值	q均值
社会经济维度	X_pop	年末人口数	周婷等^[20]	10⁴人	0.387	0.808
	X_gdp	人均GDP	樊涵等^[22]	10⁴元	0.952
	X_roa	公路里程	杨利等^[29]	km	0.837
	X_inc	居民人均可支配收入	刘汉湖等^[21]	元	0.930
	X_sce	A级旅游景区	董冬等^[18]	个	0.935
自然环境维度	X_wet	湿地面积	魏伟等^[27]	hm²	0.273	0.198
	X_aat	AAT10	潘竟虎等^[19]	℃	0.254
	X_pre	年降水量	潘竟虎等^[19]	mm	0.027
	X_dem	DEM	杨利等^[29]	m	0.426
	X_ndv	NDVI	巴旗等^[31]	-	0.009

交互作用	X_pop	X_gdp	X_roa	X_inc	X_sce	X_wet	X_aat	X_pre	X_dem	X_ndv
X_pop	0.287	+	+	+	+	*	+	*	+	*
X_gdp	1.000	0.852	+	+	+	+	+	+	+	+
X_roa	0.848	0.966	0.637	+	+	+	+	*	+	+
X_inc	0.928	0.989	1.000	0.810	+	+	+	+	+	+
X_sce	1.000	0.972	0.973	1.000	0.713	+	+	*	+	*
X_wet	0.961	1.000	0.870	0.967	1.000	0.373	*	*	*	*
X_aat	0.588	0.969	0.898	0.953	0.970	0.760	0.314	*	+	*
X_pre	0.769	0.978	0.954	0.955	0.981	0.687	0.604	0.265	+	*
X_dem	0.617	0.960	0.880	0.947	0.941	0.862	0.513	0.556	0.480	*
X_ndv	0.604	0.959	0.845	0.936	0.958	0.650	0.582	0.514	0.731	0.232

Spatiotemporal differentiation, center of gravity evolution and driving factors of national wetland parks in the Yellow River Basin

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 5

References 31

Related Articles 15

Metrics

Comments

Recommended 0

[1]	ZHANG Mingdou, REN Yanting, ZHOU Liang. Spatiotemporal evolution characteristics and influencing factors of urban ecological resilience in the Yellow River Basin [J]. Arid Land Geography, 2024, 47(3): 445-454.
[2]	WANG Jian, GUAN Yao, HE Xinghong, DAI Yunhao, CHEN Yiwei, WANG Yuqiang, LI Huiwen, FAN Debao. Dynamic monitoring and evaluation of ecological environment quality in Tumshuk City from 2000 to 2021 [J]. Arid Land Geography, 2024, 47(3): 465-473.
[3]	WANG Huixian, YANG Bei, YANG Ningjun, LI Luyao. Tourism economic differences and key driving factors in the Yellow River Basin [J]. Arid Land Geography, 2024, 47(3): 515-527.
[4]	SHI Caixia, HE Xiaorong. Measurement and improvement path of urban green development efficiency in the Yellow River Basin under the “carbon peaking and carbon neutrality” targets [J]. Arid Land Geography, 2024, 47(3): 528-538.
[5]	REN Zijian, WANG Jianglin, XU Henian, QIN Chun. Evolution and driving factors of megadrought and pluvial events in the Qilian Mountains during the past 500 years [J]. Arid Land Geography, 2024, 47(2): 214-227.
[6]	WAN Yun, WU Wenheng, LIU Jinfeng, SHI Haijin, LIU Limeng. Spatial expansion characteristics and their enlightenment in central cities in the Yellow River Basin in the last 30 years [J]. Arid Land Geography, 2024, 47(2): 281-292.
[7]	REN Guixiu, LIU Kai. Spatiotemporal evolution characteristics and influencing factors of green innovation in the Yellow River Basin [J]. Arid Land Geography, 2024, 47(1): 158-169.
[8]	WANG Songmao, NING Wenping, NIU Jinlan, AN Kang. Spatiotemporal differentiation and convergence of urban ecological resilience in the Yellow River Basin: An empirical analysis based on 61 cities in seven major urban agglomerations [J]. Arid Land Geography, 2024, 47(1): 93-103.
[9]	ZHOU Cheng, ZHAO Yaling, ZHANG Xuhong, ZHOU Lin, REN Minmin. Spatiotemporal evolutionary characteristics and coordinated development of urban ecological resilience and efficiency in the Yellow River Basin [J]. Arid Land Geography, 2023, 46(9): 1514-1523.
[10]	LI Jianhui, CHEN Lin, DANG Zheng. Spatial pattern and influencing factors of patriotic education bases in the Yellow River Basin [J]. Arid Land Geography, 2023, 46(9): 1536-1544.
[11]	MA Zhenbang,WANG Sijian,LI Wei,LYU Peng,GUO Xiaodong. Poverty evolution and its implications in the Liupan Mountain Area of Gansu Province from 1986 to 2020 [J]. Arid Land Geography, 2023, 46(9): 1545-1555.
[12]	ZHANG Hao, HAN Zenglin, QIAO Guorong, WANG Hui, WANG Hongye, DUAN Ye. Patterns and influencing factors of tourism economic linkages between cities in the Yellow River Basin [J]. Arid Land Geography, 2023, 46(8): 1344-1354.
[13]	BAI He, MING Yisen, LIU Qihang, HUANG Chang. Downscaling of GPM satellite precipitation data in the Yellow River Basin based on MGWR model [J]. Arid Land Geography, 2023, 46(7): 1052-1062.
[14]	SU Hang, GU Jiao, ZHAO Jinli. Spatial structure evolution of urban information network in the Yellow River Basin from multi-scale perspective [J]. Arid Land Geography, 2023, 46(7): 1206-1216.
[15]	DONG Jiefang, ZHANG Kaili, QU Xueshu, RUAN Zheng. Measurement and influencing factors of ecological well-being performance of cities in Yellow River Basin [J]. Arid Land Geography, 2023, 46(5): 834-845.