Research on the relationship between landscape pattern changes and human disturbance in urban agglomeration around Poyang Lake
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摘要:
探讨景观格局演变与人为干扰的关系,可为区域景观格局优化及生态可持续发展提供理论基础。以环鄱阳湖城市群为例,分析其2000—2020年土地利用景观格局时空变化特征,并运用景观格局指数、人为干扰度模型、双变量空间自相关方法探究人为干扰度时空变化规律及其与景观格局变化过程的空间耦合关系。结果显示:2000—2020年,环鄱阳湖城市群土地利用类型以耕地、林地为主,建设用地扩张迅速,面积增加18.85万 hm2;斑块密度、香农多样性指数和分形维数呈上升趋势,平均斑块面积、蔓延度指数和聚合度指数呈下降趋势,景观破碎化程度增加。2000—2020年,环鄱阳湖城市群平均人为干扰度由0.462 3增至0.468 9,人为干扰较强的区域位于鄱阳湖平原,尤其以南昌市区、南昌县、鹰潭市区人为干扰较突出,且干扰度高值区范围不断扩大;干扰强度由中部向边缘逐渐减弱,低值区分布于鄱阳湖湖域,建设用地和耕地为干扰贡献主要类型;人为干扰度与斑块密度、蔓延度指数、香农多样性指数呈空间正相关,与平均斑块面积、聚合度指数呈空间负相关,表现出明显的空间异质性。
Abstract:Exploring the relationship between landscape pattern evolution and human disturbance can provide theoretical basis for regional landscape pattern optimization and ecological sustainable development. Taking the urban agglomeration around Poyang Lake as an example, the spatial and temporal changes of land use landscape pattern during 2000-2020 were analyzed, and the spatiotemporal changes of human disturbance degree and its spatial coupling relationship with landscape pattern change process were explored by using landscape pattern index, human disturbance degree model, bivariate spatial autocorrelation and other methods. The results showed that from 2000 to 2020, the land use types of the urban agglomeration around Poyang Lake were mainly cultivated land and forest land, and the construction land expanded rapidly, increasing by 188 500 hm2. The patch density, Shannon diversity index and fractal dimension showed an increasing trend, while the average patch area, spread index and aggregation index showed a decreasing trend, and the landscape fragmentation degree increased. From 2000 to 2020, the average anthropogenic disturbance degree of the urban agglomeration around Poyang Lake increased from 0.462 3 to 0.468 9, and the areas with strong anthropogenic disturbance were located in Poyang Lake plain, especially in Nanchang urban area, Nanchang County and Yingtan urban area, and the range of areas with high disturbance degree continued to expand, and the disturbance intensity gradually weakened from the middle to the edge. The low value was distributed in Poyang Lake, and construction land and cultivated land were the main types of disturbance. The degree of human disturbance was positively correlated with patch density, spread index and Shannon diversity index, and negatively correlated with average patch area and aggregation index, showing obvious spatial heterogeneity.
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表 1 景观类型人为干扰指数赋值
Table 1. Human disturbance index assignment of landscape types
干扰类型 景观类型 干扰指数 无干扰 有林地 0.28 湖泊 0.23 滩地 0.17 沼泽地 0.10 半干扰 水田 0.65 旱地 0.70 灌木林、疏林地 0.50 其他林地 0.55 草地 0.58 河渠 0.35 水库坑塘 0.30 全干扰 城镇用地 0.99 农村居民点 0.95 其他建设用地 0.98 裸土地 0.72 裸岩石砾地 0.72 表 2 2000—2020年环鄱阳湖城市群景观类型面积与占比
Table 2. Area and proportion of landscape types in urban agglomeration around Poyang Lake in 2000-2020
年份 耕地 林地 草地 水域 建设用地 未利用地 面积/万hm2 占比/% 面积/万hm2 占比/% 面积/万hm2 占比/% 面积/万hm2 占比/% 面积/万hm2 占比/% 面积/万hm2 占比/% 2000 301.40 32.71 500.48 54.31 31.19 3.38 58.78 6.38 20.47 2.22 9.20 1.00 2010 297.76 32.31 499.03 54.15 28.16 3.06 61.55 6.68 29.56 3.21 5.46 0.59 2020 292.61 31.75 493.89 53.58 28.99 3.15 61.60 6.68 39.32 4.27 5.31 0.58 表 3 2000—2020年环鄱阳湖城市群景观格局指数
Table 3. Landscape pattern index of urban agglomeration around Poyang Lake in 2000-2020
年份 PD AREA_MN CONTAG SHDI AI PAFRAC 2000 0.027 4 3646.533 4 35.829 3 0.730 7 66.419 2 1.646 9 2010 0.028 2 3540.065 3 33.638 8 0.758 8 66.068 2 1.643 5 2020 0.028 7 3482.878 5 31.562 6 0.784 5 65.465 2 1.649 2 表 4 2000—2020年环鄱阳湖城市群人为干扰度网格数变化
Table 4. Grid changes of human disturbance degree in urban agglomeration around Poyang Lake in 2000-2020
干扰程度 2000年 2010年 2020年 网格数/个 占比/% 网格数/个 占比/% 网格数/个 占比/% 轻微 164 4.17 182 4.63 178 4.53 轻度 1093 27.83 1126 28.67 1099 27.99 中度 1187 30.23 1125 28.65 1115 28.39 重度 1039 26.46 969 24.68 949 24.17 严重 444 11.31 525 13.37 586 14.92 表 5 2000—2020年人为干扰度与景观格局指数双变量全局Moran's I
Table 5. Global Moran's I values of human-disturbance degree and landscape pattern index in 2000-2020
年份 PD AREA_MN CONTAG SHDI AI 2000 0.339 −0.199 0.083 0.397 −0.048 2010 0.359 −0.205 0.079 0.417 −0.050 2020 0.356 −0.203 0.062 0.420 −0.062 -
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