| 延河流域植被景观格局与水文连通性关系 |
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| 引用本文： | 王利成,,温仲明,,,逯金鑫.延河流域植被景观格局与水文连通性关系[J].水土保持研究,2022,29(5):124-130. |
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| 作者姓名： | 王利成 温仲明 逯金鑫 |
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| 作者单位： | (1.中科院 水利部 水土保持研究所, 陕西 杨凌712100; 2.中国科学院大学, 北京 100049; 3.西北农林科技大学 草业与草原学院, 陕西 杨凌 712100) |
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| 摘 要： | 为探究延河流域植被景观格局对水文连通性的影响,基于土地利用分类成果和水文连通指数空间分布,探讨了延河流域植被景观和水文连通性的格局特征,并借助Geoda软件平台基于空间自相关理论探究了林草植被景观格局与水文连通在空间上的相关性。结果表明:(1)延河流域草原带、森林草原带和森林带中林草景观与水文连通性都呈现空间自相关性。3个地带中林地景观的平均斑块面积、聚合度指数和斑块面积百分比都与水文连通性呈现显著的统计学上的正相关性以及空间正相关性; 景观分离度和斑块破碎化指数与水文连通性呈显著的统计学上的负相关性以及空间负相关性。(2)林地景观的优势度和聚集程度的增加并不能带来水文连通性的降低,而其斑块破碎化的增加会带来水文连通性的降低。对于3个地带的草地景观,其表现则与林地完全相反,增加草地景观的面积,提高草地植被的优势度,使草地斑块连续集中可以促使水文连通性降低。(3)在探究水文连通性和植被景观格局相关关系的空间回归模型中,空间滞后模型和空间误差模型拟合效果远好于普通线性回归模型,综合来看,空间滞后模型对植被景观格局与水文连通性的空间关系的解释能力更强。研究结果可为延河流域植被景观格局的设计和规划,提供有效的参考。
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| 关 键 词： | 水文连通性 植被景观格局 空间自相关 空间自回归 |
Relationship Between Vegetation Landscape Pattern and Hydrological Connectivity in Yanhe River Basin |
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| WANG Licheng,,WEN Zhongming,,,LU Jinxin.Relationship Between Vegetation Landscape Pattern and Hydrological Connectivity in Yanhe River Basin[J].Research of Soil and Water Conservation,2022,29(5):124-130. |
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| Authors: | WANG Licheng WEN Zhongming LU Jinxin |
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| Institution: | (1.Institute of Soil and Water Conservation, CAS & MWR, Yangling, Shaanxi 712100, China; 2.University of Chinese Academy of Sciences,Beijing 100049,China; 3.College of Grassland Agriculture, Northwest A&F University, Yangling, Shaanxi 712100, China) |
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| Abstract: | In order to explore the impact of vegetation landscape pattern on hydrological connectivity in the Yanhe River Basin, based on the land use classification results and the spatial distribution of hydrological connectivity index, the pattern characteristics of vegetation landscape and hydrological connectivity in the Yanhe River Basin were discussed. Based on the spatial autocorrelation theory, the spatial correlation between landscape pattern of forest and grass vegetation and hydrological connectivity was explored with the help of GeoDA software platform. The results show that:(1)the spatial distribution of forest-grassland landscape and hydrological connectivity has significant spatial autocorrelation in steppe, forest steppe and forest zones of Yanhe River Basin; the mean patch area, aggregation index and percentage of landscape of forestland in the three zones showed significant statistical and spatial positive correlation with hydrological connectivity; landscape division index and splitting index showed significant statistical and spatial negative correlation with hydrological connectivity;(2)the increase of dominance degree and aggregation degree of forestland landscape does not lead to the decrease of hydrological connectivity, but the increase of patch fragmentation can lead to the decrease of hydrological connectivity; for the grassland landscape of the three zones, its performance is completely opposite to that of forestland; increasing the area of grassland landscape, improving the dominance of grassland vegetation, and continuously concentrating grassland patches can reduce the hydrological connectivity;(3)among the spatial regression models exploring the correlation between hydrological connectivity and vegetation landscape pattern, the fitting effects of spatial lag model and spatial error model are far better than that of ordinary linear regression model. In conclusion, the spatial lag model has a stronger ability to explain the spatial relationship between vegetation landscape pattern and hydrological connectivity. The research results can provide the effective references for the design and planning of the vegetation landscape pattern in the Yanhe River Basin. |
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| Keywords: | hydrological connectivity vegetation landscape pattern spatial autocorrelation spatial autoregression |
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