
基于MCR模型和景观连通性的县域生态网络构建
Construction of ecological network in Xinfeng based on MCR model and landscape connectivity
【目的】探索构建生态网络以恢复破碎景观、提升景观连通性的新思路,为县域景观格局优化和生态红线保护提供科学依据。【方法】以江西信丰县为对象,基于景观格局构建生态风险指数,评估其生态风险水平,结合最小累积阻力模型(MCR)和景观连通性分析,确定生态源地、区分一般廊道和重要廊道,构建以信丰县为案例的县域潜在生态网络。【结果】信丰县城市建设用地和耕地集中区域的生态风险相对较高,而森林覆盖区域的生态风险相对较低;潜在生态网络由30个生态源地、67条生态廊道、25个生态节点构建而成;重要生态廊道在东西方向和南北方向生态斑块的沟通与连接中起到关键作用,一般生态廊道将多个相邻、分散的生态源地连接到一起。【结论】景观连通性分析不仅可用于确定斑块重要性,还可用于确定廊道重要性。生态风险评估与生态网络构建相结合,可加强县域生态网络的完整性和可靠性。
【Objective】This study aims to explore a new idea of building ecological network to restore broken landscape and improve landscape connectivity, and to provide scientific basis for landscape pattern optimization and ecological red line protection in Xinfeng County. 【Method】 Taking Xinfeng County, Jiangxi Provinceas as the object, an ecological risk index was constructed based on landscape pattern to assess the ecological risk level, combined with the minimum cumulative resistance model (MCR) and landscape connectivity analysis, the ecological sources were identified and the general,important corridors were distinguished, and the county potential ecological network was constructed with Xinfeng County as the case. 【Result】 The ecological risk of urban construction and cultivated concentration area was relatively high, while the forest cover area was relatively low; the potential ecological network was consisted by 30 ecological sources, 67 ecological corridors and 25 ecological nodes. Important ecological corridors play a key role in the communication and connection of ecological patches in the east-west and north-south directions, and general ecological corridors connect multiple adjacent and scattered ecological sources together in Xinfeng County. 【Conclusion】 Landscape connectivity analysis can be used to determine not only patch importance but also corridor importance. The combination of ecological risk assessments and ecological network construction strengthens the integrity and reliability of county ecological network.
景观生态风险 / 生态网络 / 最小累积阻力模型(MCR) / 景观连通性
landscape ecological risk / ecological network / minimum cumulative resistance model (MCR) / landscape connectivity
[1] |
|
[2] |
|
[3] |
|
[4] |
|
[5] |
|
[6] |
|
[7] |
马颖忆, 刘志峰. 江苏省景观生态风险评估及其与城镇化的动态响应[J]. 南京林业大学学报(自然科学版), 2021, 45(5):185-194.
|
[8] |
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.
|
[9] |
张思锋, 刘晗梦. 生态风险评价方法述评[J]. 生态学报, 2010, 30(10):2735-2744.
|
[10] |
|
[11] |
|
[12] |
|
[13] |
陈璟如. 生态网络研究进展[J]. 产业与科技论坛, 2018, 17(8):123-125.
|
[14] |
李中才, 徐俊艳, 吴昌友, 等. 生态网络分析方法研究综述[J]. 生态学报, 2011, 31(18):5396-5405.
|
[15] |
|
[16] |
|
[17] |
侍昊, 徐雁南. 基于景观连通性的城市绿地核心区规划方法研究[J]. 南京林业大学学报(自然科学版), 2010, 35(1):51-56.
|
[18] |
|
[19] |
|
[20] |
廖森. 江西省信丰县水土流失的初步分析及防治建议[J]. 低碳世界, 2017(23):20-21.
|
[21] |
李茂忠. 信丰县修复稀土矿区生态的技术措施及效益分析[J]. 中国水土保持, 2014(7):32-34.
|
[22] |
郭和生. 信丰县铁石小流域开展生态修复的成效与启示[J]. 黑龙江水利科技, 2014, 42(12):263-264.
|
[23] |
国家质量监督检验检疫总局, 中国国家标准化管理委员会. 土地利用现状分类:GB/T 21010—2017[S]. 北京: 中国标准出版社, 2017.
General Administration of Quality Supervision,Inspection and Quarantine of the People's Republic of China, Standardization Administration of the People's Republic of China. Current land use classification:GB/T 21010—2017[S]. Beijing: Standards Press of China, 2017.
|
[24] |
张宏涛, 黄宏胜, 魏康宁, 等. 基于面向对象与规则的Sentinel-2A影像土地覆被分类:以江西省都昌县为例[J]. 测绘通报, 2020(6):111-117.
|
[25] |
郜红娟, 韩会庆, 刘悦, 等. 1995—2015年贵州省陡坡土地利用景观干扰度变化[J]. 南京林业大学学报(自然科学版), 2020, 44(4):183-190.
|
[26] |
唐晓岚, 包文渊, 贾艳艳, 等. 太湖风景区古村古镇景观生态风险分析[J]. 南京林业大学学报(自然科学版), 2018, 42(2):105-112.
|
[27] |
|
[28] |
|
[29] |
|
[30] |
王涛, 肖彩霞, 刘娇, 等. 云南高原湖泊杞麓湖动态演变及景观生态风险评价[J]. 浙江农林大学学报, 2020, 37(1):9-17.
|
[31] |
熊星, 唐晓岚, 刘澜, 等. 基于“源-汇”理论的传统乡村景观安全格局构建[J]. 南京林业大学学报(自然科学版), 2019, 43(6):143-151.
|
[32] |
|
[33] |
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.
|
[34] |
陈南南, 康帅直, 赵永华, 等. 基于MSPA和MCR模型的秦岭(陕西段)山地生态网络构建[J]. 应用生态学报, 2021, 32(5):1545-1553.
|
[35] |
张玥, 许端阳, 李霞, 等. 中-老交通走廊核心区生态廊道构建与关键节点识别[J]. 生态学报, 2020, 40(6):1933-1943.
|
[36] |
刘家祁, 王光华, 黄小勇, 等. 构建五大体系,推进信丰脐橙产业转型发展[J]. 现代园艺, 2018(1):33-34.
|
[37] |
刘晖, 俞莹, 吴火亮, 等. 江西稀土矿山土壤修复与复绿的研究进展[J]. 南方林业科学, 2020, 48(6):74-78.
|
[38] |
|
[39] |
|
[40] |
|
[41] |
|
/
〈 |
|
〉 |