西南地区土地生态系统网络特征变化及风险识别
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1.重庆师范大学三峡库区地表过程与生态修复重庆市重点实验室;2.三峡库区地表生态过程重庆市野外科学观测研究站;3.重庆大学土木工程学院;4.重庆市规划和自然资源调查监测院

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重庆师范大学“博望学者”计划、教育部人文社科项目、重庆市自然科学基金、重庆市教委人文社科规划项目


Changes in network characteristics and risk identification of land ecosystems in the southwest China
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1.Chongqing Key Laboratory of Surface Process and Ecological Restoration in the Three Gorges Reservoir Area, Chongqing Normal University;2.Chongqing Field Observation and Research Station of Surface Ecological Process in the Three Gorges Reservoir Area

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    摘要:

    土地作为连接社会-生态系统的关键要素,研究土地生态系统网络特征变化及生态风险对保障区域生态安全至关重要。但现有的土地生态系统研究多假定系统组分间是相互独立的关系,且在土地生态风险评价过程中多侧重于静态风险评价,较少考虑系统本身的整体性与内部各组分间的动态关联性。为此,以西南地区为例,基于土地利用存量与流量构建土地生态系统复杂网络,揭示1990—2020年区域土地生态系统网络动态演化规律;利用局部节点参数明晰区域关键转移地类;建立复杂网络风险评价准则,模拟不同胁迫条件下的网络风险传导过程,识别土地生态系统网络关键致险地类及其风险阈值,并提出可持续土地管理对策。结果表明:①研究期间区域土地生态系统网络结构经历了“不稳定-稳定-不稳定”的演变过程,1990—1995、1995—2000、2015—2020三个时段的土地生态系统网络平均最短路径较小(1.22),而网络传递性(0.88)与网络密度(0.74)较大,说明在这三个时段土地生态系统网络稳定性较弱。②旱地、有林地、灌木林、高覆盖度与中覆盖度草地具有较高的综合中心性,是西南地区土地生态系统网络的关键转移节点,需重点保护。③旱地、有林地与灌木林也是导致区域土地生态系统网络稳态失衡的关键致险节点,当其最大收缩面积比分别达60%、40%和60%阈值时,系统风险累积效应将造成网络崩溃,揭示了存量较大且生态功能显著的土地利用类型在区域土地生态系统网络风险传导过程中扮演的关键角色。④应从农业水资源管理与调配、森林管理与景观配置、退化草地功能优化等方面着手重点关注和保护关键地类节点,提升区域土地生态系统网络韧性。

    Abstract:

    Land serves as a pivotal element connecting social-ecological systems; understanding the shifts in land ecosystem network characteristics and their associated ecological risks crucial for ensuring regional ecological security. However, existing studies assume that the system components are independent of each other and primarily focus on static risk assessment in the process of ecological risk assessment, ignoring the integrity of the system itself and the dynamic correlation between internal components. Here, using southwest China as a case study, we constructed a complex network of land ecosystems based on land use stock and flow, revealed the dynamic evolution of the regional land ecosystem network from 1990 to 2020, identified key transmission land types using local node parameters, established risk evaluation criteria for complex networks, simulated the risk propagation process under various stress conditions, identified the critical risk nodes and risk thresholds of land ecosystem network, and proposed sustainable land management strategies. Results indicated that:(1) The regional land ecosystem network experienced an "unstable-stable-unstable" evolution process during the study period; the average shortest path of the network was relatively short (1.22), while its network transitivity (0.88) and network density (0.74) were relatively high in 1990—1995, 1995—2000, and 2015—2020, revealing that frequent and complex interactions among various land type nodes caused the land ecosystem to be in a highly dynamic state, thereby resulting in the land ecosystem network"s weak stability during these periods. (2) Drylands, woodlands, shrubs, and high-coverage and medium-coverage grasslands are regional key transmission nodes, characterized by high integrated centrality, served as pivotal transfer hubs in the land ecosystem network of Southwest China, and their stability directly affects the structure and function of the system. Once disturbed, they will have a profound impact on the entire network, thus necessitating specific protection measures. (3) Drylands, woodlands, and shrubs were critical risk nodes leading to the imbalance of regional land ecosystem networks. When their maximum shrinkage area proportions reached 60%, 40%, and 60%, respectively, the cumulative effect of system risks would lead to network collapse, revealing that land use types with large stock and significant ecological functions play a pivotal role in the risk transmission process of regional land ecosystem networks. Their alterations can initiate cascading failure among system components, intensifying the system"s vulnerability. (4) Adopting agricultural water resource management and allocation, forest management and landscape configuration, as well as degraded grassland function optimization, can enhance the resilience of regional land ecosystem networks.

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何佳美,王强,陈田田.西南地区土地生态系统网络特征变化及风险识别.生态学报,,(). http://dx. doi. org/10.5846/stxb202410142501

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