Land ecological risk assessment of Lyuliang Mountain based on nature-economy-landscape multi-source system

doi:10.14088/j.cnki.issn0439-8114.2022.05.021

Abstract

Abstract: Ecological risk assessment is the basis of the study on the life security of mountain, water, forest, field, lake, grass and sand community. At present, unreasonable resource development and inefficient land use lead to vegetation degradation, weakening ecosystem service function and aggravating regional ecological risk. The protection and construction of life community are facing new challenges. Taking the land use dynamic monitoring data of Lyuliang Mountain in 2000, 2010 and 2018 as the data source, a multi-source evaluation system of nature-economy-landscape was constructed with the support of ArcGIS, Fragstats and R, based on 5 km×5 km grid calculated the temporal and spatial differentiation and correlation of regional vegetation degradation trend, ecosystem service value and ecological risk index since 19 years, evaluated the regional ecological risk and put forward protection suggestions. The results showed that the vegetation cover of Lyuliang Mountain increased as a whole, and the vegetation change was significant. The area of significant area accounted for 84.94%. From 2000 to 2010, the value of ecosystem services increased from 507.803×10⁸ yuan to 507.874×10⁸ yuan, with a small increase, down to 499.761×10⁸ yuan from 2010 to 2018, a total decrease of 1.597%. Forest land, grassland and cultivated land were the main contribution types. The overall landscape ecological risk showed an upward trend. The risk index had a negative correlation with the value of ecosystem services, and the aggregation trend had increased. The purpose of the study is to provide reference for Lyuliang Mountain to better play the role of ecological barrier and improve the ability of risk early warning and management and control in the region.

Key words: vegetation degradation, ecosystem service value, ecological risk, Lyuliang Mountain

CLC Number:

P964

SONG Xiao-jing, ZHOU Shu-qin, WANG Yong, JING Yao-dong, LIU Li-wen, WANG Bei-bei. Land ecological risk assessment of Lyuliang Mountain based on nature-economy-landscape multi-source system[J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(5): 111-119.

References 36

[1]	LIU J H,GAO J X.Measurement and dynamic change of ecosystem services value in the farming pastoral ecotone of northern China[J]. Journal of mountain science,2008,26(2):145-153.
[2]	张建,雷刚,漆良华,等.2003—2018年土地利用变化对丹江口市景观格局与生态服务价值的影响[J].生态学报,2021,41(4):1280-1290.
[3]	李青圃,张正栋,万露文,等.基于景观生态风险评价的宁江流域景观格局优化[J].地理学报,2019,74(7):1420-1437.
[4]	刘春艳,张科,刘吉平.1976—2013年三江平原景观生态风险变化及驱动力[J].生态学报,2018,38(11):3729-3740.
[5]	刘孟竹,王彦芳,裴宏伟.基于土地利用变化的河北省坝上地区景观生态风险评价[J].水土保持通报,2020,40(4):303-312.
[6]	于婧,汤昪,陈艳红,等.山水资源型城市景观生态风险评价及生态安全格局构建——以张家界市为例[J].生态学报,2020,42(4):1-10.
[7]	刘珍环,张国杰,付凤杰.基于景观格局-服务的景观生态风险评价——以广州市为例[J].生态学报,2020,40(10):3295-3302.
[8]	TURNER K G, ANDERSON S, GONZALES-CHANG M, et al.A review of methods, data, and models to assess changes in the value of ecosystem services from land degradation and restoration[J]. Ecological modelling, 2016, 319:190-207.
[9]	COSTANZA R,DEARGE R,GROOT R D,et al.The value of the world’s ecosystem services and natural capital[J]. Nature,1997,387: 253-260.
[10]	LOOMES R,O’NEILL K. Nature’s services: Societal dependence on natural ecosystems[J]. Pacific conservation biology,2000, 6(2):274.
[11]	曹祺文,卫晓梅,吴健生.生态系统服务权衡与协同研究进展[J].生态学杂志,2016,35(11): 3102-3111.
[12]	吴学伟. 小三江平原土地利用景观格局演变与生态安全评价[D].武汉:武汉大学,2018.
[13]	QIU B, LI H, ZHOU M, et al.Vulnerability of ecosystem services provisioning to urbanization: A case of China[J]. Ecological indicators, 2015, 57:505-513.
[14]	DI SABATINO A, COSCIEME L, VIGNINI P, et al.Scale and ecological dependence of ecosystem services evaluation:Spatial extension and economic value of freshwater ecosystems in Italy[J]. Ecological indicators,2013,32: 259-263.
[15]	SCHMALZ B,KRUSE M,KIESEL J,et al.Water-related ecosystem services in Western Siberian lowland basins—analysing and mapping spatial and seasonal effects on regulating services based on ecohydrological modelling results[J]. Ecological indicators,2015,71: 55-65.
[16]	马倩,孙虎,咎梅.新疆艾比湖生态脆弱区生态服务价值对土地利用变化的响应[J].地域研究与开发,2011,30(4):112-116.
[17]	李辉,周启刚,李斌,等.近30 年三峡库区生态系统服务价值与生态风险时空变化及相关性研究[J].长江流域资源与环境,2021,30(3):654-666.
[18]	康鹏,陈卫平,王美娥.基于生态系统服务的生态风险评价研究进展[J].生态学报,2016,36(5):1192-1203.
[19]	曹祺文,张曦文,马洪坤,等.景观生态风险研究进展及基于生态系统服务的评价框架:ESRISK[J].地理学报,2018,73(5):843-855.
[20]	钟小龙. 洞庭湖区景观格局与土地生态系统服务价值变化的关联性研究[D].长沙:湖南师范大学,2019.
[21]	宋晓静,周淑琴,荆耀栋,等.吕梁山植被时空分布规律及地形差异影响[J].湖北农业科学,2021,60(5):53-58,67.
[22]	陈心怡,谢跟踪,张金萍.海口市海岸带近30年土地利用变化的景观生态风险评价[J].生态学报,2021,41(3):975-986.
[23]	谢高地,鲁春霞,冷允法,等. 青藏高原生态资产的价值评估[J].自然资源学报,2003(2):189-196.
[24]	谢高地,甄霖,鲁春霞,等. 一个基于专家知识的生态系统服务价值化方法[J].自然资源学报, 2008, 23(5):911-919.
[25]	谢高地,张彩霞,张雷明,等. 基于单位面积价值当量因子的生态系统服务价值化方法改进[J].自然资源学报,2015,30(8):1243-1254.
[26]	付梦娣,唐文家,刘伟玮,等.基于生态系统服务视角的生态风险评估及生态修复空间辨识——以长江源区为例[J].生态学报,2021,41(10):3846-3855.
[27]	蔡博峰,于嵘.基于遥感的植被长时序趋势特征研究进展及评价[J].遥感学报,2009,13(6):1170-1186.
[28]	张凡凡,张启楠,李福夺,等.中国水足迹强度空间关联格局及影响因素分析[J]. 自然资源学报, 2019, 34(5): 934-944.
[29]	朱治州,钟业喜.长江三角洲城市群土地利用及其生态系统服务价值时空演变研究[J].长江流域资源与环境,2019,28(7):1520-1530.
[30]	刘迪,陈海,耿甜伟,等.基于地貌分区的陕西省区域生态风险时空演变[J].地理科学进展,2020,39(2):243-254.
[31]	张学斌,石培基,罗君,等.基于景观格局的干旱内陆河流域生态风险分析——以石羊河流域为例[J].自然资源学报,2014, 29(3):410-419.
[32]	张雪茂,董廷旭,杜华明,等. 基于景观生态风险评价的涪江流域景观格局优化[J].生态学报, 2021, 41(10):3940-3951.
[33]	杜军,赵胜朝,邱士可,等.2000—2015年豫西黄土丘陵区土地利用变化及景观生态风险评价[J].水土保持研究,2021, 28(1):279-291.
[34]	杨青生,乔纪纲,艾彬.快速城市化地区景观生态安全时空演化过程分析——以东莞市为例[J].生态学报,2013,33(4):1230-1239.
[35]	刘海龙,王炜桥,王跃飞,等.汾河流域生态敏感性综合评价及时空演变特征[J].生态学报,2021,41(10):3952-3964.
[36]	马耘秀. 太原市土地利用结构分析与预测[D].山西晋中:山西农业大学,2005.