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

doi:10.11707/j.1001-7488.LYKX20250571

Abstract

Abstract:

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.

Key words: wetlands, human activity intensity (HAI), landscape pattern, binary regression analysis, threshold

CLC Number:

Ying Zhu,Yao Zhang,Xiaolei Yang,Jingya Qiao,Yuqing Feng. Responses of Landscape Patterns to Human Activity Intensity in Wetland Buffer Zones of Wujiang District, Suzhou City[J]. Scientia Silvae Sinicae, 2026, 62(5): 54-68.

Figures/Tables 15

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Table 1

Connotations and weights of human activity intensity indicators"

指标 Indicator	指标内涵 Indicator connotation	指标权重Indicator weight
建设用地面积占比 Proportion of construction land area（%）	建设用地是人类活动的主要空间载体，其比例大小直接反映人类对自然地表的改造强度和空间占据程度 Construction land is the primary spatial carrier of human activities， and its proportion directly reflects the intensity of human modification of the natural surface and the extent of spatial occupation	0.280
路网密度 Road network density/ （km·km^-2）	单位面积内道路总长度的比值。路网密度越高，人类活动的可达性和扩展能力越强，对湿地景观和生态系统的扰动程度也越大 The ratio of the total road length to the area of the evaluation unit. The higher the road netwaork density, the stronger the accessibility and expansion of human activities，and the greater the disturbance to wetland landscapes and ecosystems	0.232
耕地面积占比Proportion of cultivated land area（%）	单位面积内耕地（含水田、旱地等）的比例。较高的耕地占比表明人类为满足生存需求对自然生态系统进行的干预和转化强度较大 The proportion of cultivated land （including paddy fields and dry land） within the evaluation unit area. A high proportion indicates intensive human intervention and transformation of natural ecosystems to meet subsistence needs	0.244
坑塘水面面积占比 Proportion of pond water surface area（%）	坑塘水面多因养殖、灌溉和蓄水需求而修建，其比例大小反映了人类对水资源的利用和调控强度，是生产活动的间接体现 Pond water surfaces are primarily constructed for aquaculture， irrigation， and water storage. Their proportion reflects the intensity of human utilization and regulation of water resources， serving as an indirect indicator of production activities	0.183
交通服务设施点密度 Transportation service facility density/km^-2	单位面积内交通服务设施（停车场、车站、港口、地铁站等）的聚集程度。本研究采用核密度方法表征湿地周边休闲娱乐活动强度 The degree of aggregation of transportation service facilities （parking lots， bus stops， ports， subway stations， etc.） within the evaluation unit area. In this study， kernel density estimation is applied to characterize the intensity of recreational activities around wetlands	0.060

Table 1

Table 2

Ecological significance and practical implications of landscape pattern indices"

景观指数 Landscape index	生态意义 Ecological significance	应用内涵 Practical implications	参考文献References
斑块密度 Patch density/km^-2	单位面积上斑块数量的比值，反映景观破碎化程度和干扰水平 The number of patches per unit area， reflecting the degree of landscape fragmentation and disturbance	城市化、交通基础设施建设、农业开垦等活动通常增加破碎化；在高度集约化利用区可能因单一用地集中而降低斑块密度 Urbanization， transportation infrastructure development， and agricultural reclamation usually increase fragmentation， raising patch density; intensive land use may reduce patch density due to concentrated single-use land	Luck et al.，2002
最大斑块指数Largest patch index（%）	某景观类型中最大斑块面积占该类型总面积的百分比 The proportion of the largest patch area of a certain landscape type to the total area of that type	建设用地或耕地扩张可使最大板块指数升高；自然景观破碎化或退化时最大板块指数降低 Expansion of construction land or cropland may increase the largest patch index, while fragmentation or degradation of natural landscapes reduces it	Li et al.，2004
连通性指数 Connectivity index（%）	衡量景观组分之间的功能连接性 Measure the functional connectivity among landscape patches	道路建设、城市扩张常降低生态斑块连通性；廊道建设有助于提升连通性 Road construction and urban expansion often reduce connectivity; corridor construction and ecological restoration enhance connect	Taylor et al.，1993
聚合度指数Aggregation index	反映相同景观类型的聚集程度。 Reflect the degree of aggregation of the same landscape type	集约化农业或大规模建设可提高聚合度指数；分散开发会降低聚合度指数 Intensive agriculture or large-scale construction increases aggregation index, while scattered development decreases it	Gustafson et al.，1998
香农多样性指数Shannon’s diversity index	衡量景观类型的多样性与优势度 Measure the diversity and evenness of landscape types	中等强度的人类活动可能提高多样性，高强度人类活动往往导致类型减少、多样性降低 Moderate human activities increase diversity， raising Shannon’s diversity index, while intensive development leads to dominance of few types， reducing Shannon’s diversity index	Nagendra et al.，2002
香农均匀度指数Shannon’s evenness index	衡量各景观类型面积分布均衡程度 Measure the evenness of area distribution among landscape types	高度集约化利用易形成优势类型，SHEI 降低；适度人类活动可能提高均衡度 Highly intensive utilization can easily form’advantageous types and reduce Shannon’s evenness index; moderate human activity may improve balance evenness	Turner et al.，2015

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项目Item	均值Mean	标准差 Standard deviation	最小值 Minimum	中位数 Median	最大值 Maximum	25分位数 25th percentile	75分位数 75th percentile
斑块密度Patch density/km^-2	662.75	256.24	75	650	3 293.343	475	825
最大斑块指数Largest patch index（%）	41.77	17.51	8.56	38.88	99.3225	27.79125	53.19125
连通性指数Connectivity index（%）	42.28	13.12	8.3333	39.9083	100	33.6842	48
聚合度指数Aggregation index	97.96	0.69	95.5972	97.9522	99.9053	97.4566	98.4486
香农均匀度指数Shannon’s evenness index	0.70	0.15	0.051 1	0.72055	1	0.60945	0.81025
香农多样性指数Shannon’s diversity index	1.27	0.34	0.0406	1.31925	2.0867	1.048	1.5324
人类活动强度Human activity intensity	0.19	0.06	0.014	0.192	0.363	0.147	0.236

项目Item	斑块密度Patch density/km^-2	最大斑块指数Largest patch index（%）	连通性指数Connectivity index（%）	聚合度指数Aggregation index	香农均匀度指数Shannon’s evenness index	香农多样性指数Shannon’s diversity index
人类活动强度Human activity intensity（HAI）	241.0^*（1.78）	219.5^***（?19.78）	91.35^***（11.86）	2.298^***（6.80）	2.179^***（23.86）	4.674^***（24.15）
人类活动强度平方项Squared term of HAI（HAI²）	?3 468.3^*** （?9.81）	908.1^***（30.06）	220.0^***（?10.57）	?1.601^*（?1.78）	?8.861^*** （?35.59）	?19.38^*** （?36.91）
缓冲区距离Buffer distance/m	?0.00579^*** （?4.16）	0.000272^*** （3.12）	?0.000275^*** （?3.81）	0.000 019 3^*** （5.11）	?0.000000383 （?0.53）	?0.00000213 （?1.30）
常数项Constant term	769.7^***（60.92）	46.80^***（47.76）	34.30^***（50.37）	97.54^***（315 7.04）	0.637^***（80.09）	1.155^***（68.18）
调整后的决定系数Adjusted R-squared （adj. R²）	0.062	0.210	0.006	0.022	0.259	0.256
F	541.50^***	1 316.30^***	59.34^***	188.12^***	182 1.24^***	2 038.01^***

变量名称Variable name	均值Mean	标准差 Standard deviation	最小值 Minimum	中位数 Median	最大值 Maximum	25分位数 25th percentile	75分位数 75th percentile
斑块密度Patch density/km^?2	602.83	238.09	75	575	200 2.002	425	750
最大斑块指数Largest patch index（%）	45.42	18.10	10.2525	43.305	96.92	30.882 5	57.96
连通性指数Connectivity index（%）	43.06	13.26	8.3333	40.8	100	34.042 6	50
聚合度指数Aggregation index	98.13	0.64	95.9177	98.113 9	99.881 3	97.680 1	98.585 9
香农均匀度指数Shannon’s evenness index	0.68	0.16	0.0592	0.696 4	1	0.582 1	0.7948
香农多样性指数Shannon’s diversity index	1.19	0.35	0.065	1.2245	1.9818	0.9372	1.4613
人类活动强度Human activity intensity	0.20	0.06	0.026	0.199	0.346	0.154	0.244
缓冲区距离Buffer distance	1 001.41	514.70	300	900	1 800	600	1 500

项目Item	斑块密度Patch density/km^-2	最大斑块指数Largest patch index（%）	连通性指数Connectivity index（%）	聚合度指数Aggregation index	香农均匀度指数Shannon’s evenness index	香农多样性指数Shannon’s diversity index
人类活动强度Human activity intensity（HAI）	311.9^*（1.79）	－224.5^***（-14.69）	133.9^***（10.04）	4.346^***（9.37）	1.845^***（13.53）	4.242^***（14.91）
人类活动强度平方项Squared term of HAI（HAI²）	－3992.9^*** （－9.26）	1 001.0^***（25.91）	－310.0^*** （－9.19）	－4.381^*** （－3.76）	－8.407^*** （－24.08）	－19.47^*** （－27.33）
缓冲区距离Buffer distance/m	0.036 2^*** （8.74）	－0.001 59^*** （－5.90）	－0.001 11^*** （－4.50）	－0.000121^*** （－10.70）	0.00000323 （1.36）	0.0000155^*** （2.99）
常数项Constant term	675.1^***（38.83）	48.93^***（33.19）	30.77^***（23.87）	97.57^***（2 138.36）	0.668^***（51.67）	1.160^***（42.01）
调整后的决定系数Adjusted R-squared （adj. R²）	0.100	0.323	0.011	0.063	0.314	0.339
F	537.85	1 673.38^***	47.94^***	332.83^***	1 537.29^***	2 024.16^***

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

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