基于2000年、2010年、2020年遥感数据,对洛阳市景观格局和景观生态风险的时空分布与动态特征进行评价、分析与预测。结果表明:(1)2000—2020年洛阳市以林地耕地为优势景观,建设用地、林地和耕地的转移幅度较大;整体景观格局特征变化稳定,其中南部和北部的耕地与建设用地破碎度和复杂程度升高,中部林地的聚集度和优势度升高。(2)洛阳市景观生态风险水平整体较高,风险等级分布较为稳定,2000—2020年风险变化呈先增后减趋势,当前恶化区主要分布在南部的水源、水库以及自然保护地周边,预测2030年风险恶化区将主要分布在黄河流域以及洛河、伊河流域两侧的耕地地区。(3)研究区景观生态风险空间分布存在显著正自相关性且聚集性不断减弱;自然条件为2020年风险空间分异的主要驱动因素,其中海拔、气温、坡度因子解释力较高。(4)南部林地为风险滞后区,风险降低缓慢;中部耕地为稳定高风险区;北部建成区和黄河下游区域为风险频变区。
Based on remote sensing data in 2000, 2010 and 2020, the study evaluates, analyzes, and predicts the spatial and temporal distribution and dynamic characteristics of landscape pattern and landscape ecological risk in Luoyang City. The conclusions are as follows: (1) The landscape of Luoyang City is dominated by forested and cultivated land, and the shifts of construction land, forested land and cultivated land are significant; the overall landscape pattern characteristics change steadily, and the degree of fragmentation and complexity of cultivated land and construction land rise in the north and south, and the degree of aggregation and dominance of forested land grows in the central part of the city.(2) The overall landscape ecological risk level of Luoyang City is high, and the distribution of risk levels is relatively stable, and the risk variation between 2000 and 2020 is increasing and then decreasing. The current deterioration area is mainly distributed around water sources, reservoirs, and nature reserves in the south, and it is predicted that the deterioration area in 2030 will be mainly distributed in the Yellow River basin and the cultivated areas on both sides of the Luo and Yi River basins.(3) The spatial distribution of landscape ecological risks in the study area has significant positive autocorrelation and the aggregation is weakening; natural conditions are the main driving factors for the spatial variation of risks in 2020. (4) Forest land in the south is a risk lagging area with slow risk reduction; cultivated land in the central part is a stable high-risk area; built-up area in the north and the downstream area of the Yellow River are risk-frequent areas.
[1]张琨,林乃峰,徐德琳,等.中国生态安全研究进展:评估模型与管理措施[J].生态与农村环境报,2018,34(12):1057-1063.
[2]颜磊,许学工.区域生态风险评价研究进展[J].地域研究与开发,2010,29(1):113-118.
[3]彭建,党威雄,刘焱序,等.景观生态风险评价研究进展与展望[J].地理学报,2015,70(4):664-677.
[4]潘竟虎,刘晓.疏勒河流域景观生态风险评价与生态安全格局优化构建[J].生态学杂志,2016,35(3):791-799.
[5]王永庶,唐岱,延相东,等.基于网格尺度的保山市中心城区生态安全评价研究[J].西南林业大学学报(自然科学版),2021,41(5):80-87.
[6]张长勤,李鑫,孙力,等.基于不同粒度的湿地土地利用生态风险及其景观指数动态[J].东北林业大学学报,2014,42(8):104-108.
[7]杨馗,信桂新,蒋好雨,等.基于最佳尺度的景观生态风险时空变化研究:以重庆市江津区为例[J].生态与农村环境学报,2021,37(5):576-586.
[8]武泽民,余哲修,李瑶,等.滇池流域土地利用演变及景观生态安全评价研究[J].西南林业大学学报(自然科学版),2021,41(3):122-129.
[9]袁媛,罗志军,赵杰,等.基于景观结构和空间统计学的南昌市景观生态安全评价[J].水土保持研究,2020,27(3):247-255.
[10]吴宜进,奚悦,涂文娜,等.生态敏感区景观安全评价与时空变化研究:以湖北省十堰市为例[J].人民长江,2018,49(23):32-37.
[11]孙才志,闫晓露,钟敬秋.下辽河平原景观生态安全评价及空间结构分析[J].安全与环境学报,2014,14(2):266-272.
[12]王飞,叶长盛,华吉庆,等.南昌市城镇空间扩展与景观生态风险的耦合关系[J].生态学报,2019,39(4):1248-1262.
[13]刘顺鑫,黄云.“三生空间”视角下万州区景观生态安全评价及其耦合特征分析[J].水土保持研究,2020,27(6):308-316.
[14]张占仓.洛阳在郑洛西高质量发展合作带建设中的优劣势与发展策略[J].地域研究与开发,2022,41(2):40-45.
[15]中国区域经济50人论坛秘书处.中国区域经济50人论坛第19次专题会议:黄河流域生态保护和郑洛西高质量发展合作带建设座谈会在洛阳举行[J].区域经济评论,2021,37(3):142.
[16]何鹏,张会儒.常用景观指数的因子分析和筛选方法研究[J].林业科学研究,2009,22(4):470-474.
[17]刘宇,吕一河,傅伯杰.景观格局-土壤侵蚀研究中景观指数的意义解释及局限性[J].生态学报,2011,31(1):267-275.
[18]LIU X,LIANG X,LIX,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,2017,168:94-116.
[19]张经度,梅志雄,吕佳慧.纳入空间自相关的FLUS模型在土地利用变化多情景模拟中的应用[J].地球信息科学学报,2022,22(3):531-542.
[20]苏海民,何爱霞.基于RS和地统计学的福州市土地利用分析[J].自然资源学报,2010,25(1):91-99.
[21]李谢辉,谭灵芝.基于景观结构的渭河下游河流沿线区域生态风险分析[J].地域研究与开发,2009,28(6):100-105.
[22]王劲峰,徐成东.地理探测器:原理与展望[J].地理学报,2017,72(1):116-134.
[23]DRING T F,RECKLING M.Detecting Global Trends of Cereal Yield Stability by Adjusting the Coefficient of Variation[J].European Journal of Agronomy,2018,99:30-36.
[24]RAN P,HU S,FRAZIER A E,et al.Exploring Changes in Landscape Ecological Risk in the Yangtze River Economic Belt from a Spatiotemporal Perspective[J/OL].Ecological Indicators,2022,137:108744[2022-01-09].https://doi.org/10.1016/j.ecolind.2022.108744.
[25]奚世军,蔡沛伶,安裕伦.2000—2018年贵州喀斯特山区小流域综合生态风险变化及其驱动因素[J].生态与农村环境学报,2020,36(9):1106-1114.
[26]张文静,孙小银,单瑞峰,等.1975—2018年南四湖流域景观生态风险时空变化及其驱动因素研究[J].生态科学,2020,39(3):172-181.