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苏州市吴江区湿地缓冲区景观格局对人类活动强度的响应OA

Responses of Landscape Patterns to Human Activity Intensity in Wetland Buffer Zones of Wujiang District,Suzhou City

中文摘要英文摘要

[目的]揭示人类活动强度梯度下湖泊与河流湿地缓冲区景观格局的阈值响应特征,为湿地生态空间分级保护与人类活动差异化管控提供科学依据.[方法]以苏州吴江区湖泊与河流湿地为研究对象,沿岸线建立缓冲区,在综合刻画区域人类活动空间特征的基础上,对建设用地面积占比、耕地面积占比、坑塘面积占比、路网密度和交通服务设施点密度 5个指标采用 AHP-熵权法综合赋权构建人类活动强度指数(HAI),以统一空间单元实现其空间化表达,并分析其在湖岸与河岸缓冲区的梯度空间分布特征;进一步运用 FRAGSTATS软件计算多项景观格局指数,揭示湿地缓冲区景观格局分异规律;通过二元回归模型探明人类活动与景观格局的非线性关系,确定人类活动强度阈值.[结果]1)人类活动强度与景观格局在湖岸与河岸缓冲区内呈现不同的空间分异模式.湖岸缓冲区人类活动强度在 0~3 600 m缓冲区呈"峰型"或"谷型"扰动形态,景观格局指数中斑块密度、最大斑块指数、连通性指数和聚合度指数在 0~1 800 m缓冲区内波动剧烈;而河岸缓冲区人类活动强度则表现为梯度衰减,景观格局指数在 0~1 800 m缓冲区内响应一致.2)景观格局对人类活动强度的响应呈显著非线性关系:斑块密度、连通性指数、聚合度指数、香农多样性指数、香农均匀度指数等景观格局指数呈倒 U形,最大斑块指数呈U形,反映景观格局经历"破碎化→多样性提升→重新整合"的演变过程.3)湖岸与河岸缓冲带对人为干扰的响应阈值不同(湖岸缓冲区为 0.22,河岸缓冲区为 0.18),表明湖岸缓冲区抗干扰能力更强,而河岸缓冲区的生态脆弱性更高,退化风险更大,其中斑块密度和聚合度指数对干扰的响应最为敏感.[结论]人类活动对湿地缓冲区景观格局的影响具有显著的距离依赖性与阈值效应,将人类活动强度控制在临界阈值内可有效维持湿地景观的连通性与多样性.

[Objective]This study aims toelucidate the differentiated threshold responses of landscape patterns within lake and river wetland buffer zones along a gradient of human activity intensity,thereby providing a scientific foundation for hierarchical protection of wetland ecological spaces and targeted regulation of human activities.[Method]The lake and river wetlands in Wujiang District,Suzhou was targeted,and buffer zones were established along the shorelines.Based on a comprehensive characterization of the spatial characteristics of human activities in the region,a human activity intensity(HAI)index was constructed by weighting five indicators including proportion of construction land,proportion of cultivated land,proportion of pond area,road network density,and density of transportation service facilities using an AHP-entropy combined weighting method.The HAI was spatially expressed within unified spatial units to analyze its gradient distribution characteristics in lakeside and riverside buffer zones.Further,FRAGSTATS was used to calculate multiple landscape metrics and reveal spatial differentiation patterns of landscape structure within wetland buffer zones.Finally,binary regression models were employed to explore nonlinear relationships between HAI and landscape patterns and to identify critical thresholds of HAI.[Result]1)Human activity intensity and landscape patterns displayed distinct spatial differentiation in the buffer zones of lakeside and riverside.In lakeside buffer zones,HAI exhibited"peak-type"or"valley-type"disturbance patterns within the buffer zone of 0-3 600 m,while landscape indices such as patch density,largest patch index,connectivity index,and aggregation index fluctuated considerably within the buffer zone of 0-1 800 m.In contrast,riverside buffer zones showed a gradient decay in HAI,with landscape indices responding consistently within the buffer zone of 0-1 800 m.2)Landscape patterns responded to HAI in a significantly nonlinear manner:indices such as patch density,connectivity index,aggregation index,Shannon's diversity index,and Shannon's evenness index followed an inverted U-shaped trend,while largest patch index exhibited a U-shape pattern.This reflects an evolutionary trajectory of landscape patterns characterized by"fragmentation→diversity enhancement→reintegration".3)Different disturbance thresholds were identified for lakeside and riverside buffer zones(0.22 and 0.18,respectively),suggesting stronger disturbance resistance in lakeside buffers and higher ecological vulnerability and degradation risk in riverside buffers.Among the metrics,patch density and aggregation index were the most sensitive to human disturbance.[Conclusion]The impact of human activities on landscape patterns within wetland buffer zones exhibits significant distance dependence and threshold effects.Controlling human activity intensity within critical thresholds can effectively maintain the connectivity and diversity of wetland landscapes.

朱颖;张瑶;杨晓蕾;乔敬雅;冯育青

苏州科技大学 苏州 215011||江苏太湖湿地生态系统定位观测站 苏州 215000苏州科技大学 苏州 215011苏州科技大学 苏州 215011苏州科技大学 苏州 215011江苏太湖湿地生态系统定位观测站 苏州 215000||苏州市湿地保护管理站 苏州 215000

农业科技

湿地人类活动强度景观格局二元回归分析阈值

wetlandshuman activity intensity(HAI)landscape patternbinary regression analysisthreshold

《林业科学》 2026 (5)

54-68,15

教育部人文社科研究规划基金项目(23YJAZH231)国家自然科学基金项目(52208072)2024年江苏省研究生科研与实践创新计划项目(SJCX24_1949).

10.11707/j.1001-7488.LYKX20250571

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