[1]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(05):124-130.
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Relationship Between Vegetation Landscape Pattern and Hydrological Connectivity in Yanhe River Basin
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
29
Number of periods:
2022 05
Page number:
124-130
Column:
Public date:
2022-08-20
- Title:
- Relationship Between Vegetation Landscape Pattern and Hydrological Connectivity in Yanhe River Basin
- Keywords:
- hydrological connectivity; vegetation landscape pattern; spatial autocorrelation; spatial autoregression
- CLC:
- P332.5
- DOI:
- -
- 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.
- References:
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[1] Bronstert A, Niehoff D, Bürger G. Effects of climate and land-use change on storm runoff generation:present knowledge and modelling capabilities[J]. Hydrological Processes, 2002,16(2):509-529.
[2] Li J, Zhou Z X. Coupled analysis on landscape pattern and hydrological processes in Yanhe watershed of China[J]. Science of the Total Environment, 2015,505:927-938.
[3] Nunes A N, De Almeida A C, Coelho C O A. Impacts of land use and cover type on runoff and soil erosion in a marginal area of Portugal[J]. Applied Geography, 2011,31(2):687-699.
[4] Wohl E, Brierley G, Cadol D, et al. Connectivity as an emergent property of geomorphic systems[J]. Earth Surface Processes and Landforms, 2019,44(1):4-26.
[5] 张光辉.从土壤侵蚀角度诠释泥沙连通性[J].水科学进展,2021,32(2):295-308.
[6] 苗连朋,温仲明,张莉.植被变化与水沙响应关系研究:以延河流域为例[J].干旱区资源与环境,2015,29(5):75-81.
[7] 翟婷婷,赵广举,穆兴民,等.黄河中游典型流域极端降雨条件的水沙过程变化[J].泥沙研究,2021,46(1):57-63,41.
[8] 冉大川,姚文艺,吴永红,等.延河流域1997—2006年林草植被减洪减沙效应分析[J].中国水土保持科学,2014,12(1):1-9.
[9] 赵跃中,穆兴民,严宝文,等.延河流域植被恢复对径流泥沙的影响[J].泥沙研究,2014(4):67-73.
[10] 刘强,穆兴民,赵广举,等.延河流域水沙变化及其对降水和土地利用变化的响应[J].干旱区资源与环境,2021,35(7):129-135.
[11] Borselli L, Cassi P, Torri D. Prolegomena to sediment and flow connectivity in the landscape:a GIS and field numerical assessment[J]. Catena, 2008,75(3):268-277.
[12] Almagro A, Thome T C, Colman C B, et al. Improving cover and management factor(C-factor)estimation using remote sensing approaches for tropical regions[J]. International Soil and Water Conservation Research, 2019,7(4):325-334.
[13] 吴小影,杨山,尹上岗,等.快速城镇化背景下长三角城镇建设用地群态化特征及演变模式[J].地理研究,2021,40(7):1917-1934.
[14] 雷金睿,陈宗铸,吴庭天,等.1989—2015年海口城市热环境与景观格局的时空演变及其相互关系[J].中国环境科学,2019,39(4):1734-1743.
[15] 王戈,于强, YANG Di,等.京津冀城市群生态空间格局变化与地表温度关系研究[J].农业机械学报,2021,52(1):209-218.
[16] 李序颖,顾岚.空间自回归模型及其估计[J].统计研究,2004,21(6):48-51.
[17] F. Dormann C, M. McPherson J, B. Araújo M, et al. Methods to account for spatial autocorrelation in the analysis of species distributional data:a review[J]. Ecography, 2007,30(5):609-628.
[18] 沈中健,曾坚,梁晨.闽南三市绿地景观格局与地表温度的空间关系[J].生态学杂志,2020,39(4):1309-1317.
[19] Papadopoulos N T, Katsoyannos B I, Nestle D. Spatial autocorrelation analysis of a Ceratitis capitata(Diptera:Tephritidae)adult population in a mixed deciduous fruit orchard in northern Greece[J]. Environmental Entomology, 2003,32(2):319-326.
[20] Peakall R, Ruibal M, Lindenmayer D B. Spatial autocorrelation analysis offers new insights into gene flow in the Australian bush rat, Rattus fuscipes[J]. Evolution, 2003,57(5):1182-1195.
[21] 李晶,周自翔.延河流域景观格局与生态水文过程分析[J].地理学报,2014,69(7):933-944.
[22] 宋敏敏,张青峰,吴发启,等.基于NDVI的延河流域时空演变分析[J].水土保持研究,2017,24(4):6-11.
[23] 廖凯涛,胡建民,宋月君,等.南方红壤丘陵区流域植被景观格局变化及水沙响应关系[J].水土保持学报,2019,33(3):36-42.
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Last Update:
2022-08-20