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小理河流域土地利用空間自相關格局與影響因素分析
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國家自然科學基金項目(41571263)


Analysis of Land Use Spatial Autocorrelation Patterns and Influence Factors of Xiaolihe Watershed
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    摘要:

    為揭示土地利用空間自相關格局與自然社會經濟因素的耦合關系,,以黃土丘陵溝壑區(qū)的小理河流域為研究區(qū),,基于全局Moran’s I,、Moran 散點圖和Anselin local Moran’s I分析了500m×500m格網尺度上流域土地利用全局和局部空間自相關格局,,利用GIS技術研究各類用地在p<0.05 顯著性水平下局部聚集區(qū)與高程,、坡度,、坡向,、與水域距離,、與道路距離,、與居民點距離的關系,。結果表明,各土地利用類型都表現出全局空間正自相關特性,,但空間正自相關性隨著距離的增加而逐漸減弱,,且在32km以內不同土地利用類型自相關程度的空間衰減強度不同。耕地,、草地的空間分布呈顯著的HH(高值—高值),、LL(低值—低值)聚集趨勢,而園地,、林地,、建設用地和未利用地呈顯著的HH聚集趨勢。草地HH聚集區(qū)主要分布在流域中,、上游的丘陵或山地區(qū),,林地HH聚集區(qū)主要分布在流域下游溝壑區(qū)和上游山地區(qū),其他地類HH聚集區(qū)集中分布在流域下游寬闊黃土梁或開闊河谷區(qū),。隨高程和坡度增加,,各地類HH、LL聚集區(qū)面積總體呈先增加后減小的趨勢,。在1000~1300m高程區(qū),、15°~25°的坡度區(qū)以及正陽向和正陰向區(qū)域,,是各地類HH聚集分布最多樣、面積最集中的區(qū)域,。建設用地和林地HH聚集區(qū)主要分布在1000~1100m高程區(qū),,耕地、園地和未利用地HH聚集區(qū)主要分布在1100~1200m高程區(qū),,草地HH聚集區(qū)主要分布在1200~1300m高程區(qū),。各地類HH聚集區(qū)按平均坡度由小到大依次為:建設用地、耕地,、園地,、林地、未利用地,、草地,。建設用地、園地和耕地HH聚集區(qū)主要分布在正陽向和半陽向區(qū)域(正陽向面積最多),,林地和草地HH聚集區(qū)主要分布在正陰向和正陽向區(qū)域(正陰向面積最多),。距水域和道路越遠,除未利用地外,,各地類HH聚集區(qū)面積呈不斷減小的趨勢,;距居民點越遠,草地HH聚集區(qū)面積呈先增加后減小趨勢,,而其他地類HH聚集區(qū)面積呈不斷減小的趨勢,。各地類HH、LL聚集區(qū)集中分布在距水域,、道路1.5km范圍內和距居民點3km范圍內。距水域,、道路和居民點越近,,建設用地、園地和耕地的HH聚集區(qū)面積迅速增加,。相比HH聚集區(qū),,耕地LL聚集區(qū)主要分布在1200m以上高程區(qū),平均坡度增大,,正陽向面積略大于其他坡向面積,,與水域和居民點的距離較遠且面積呈先增后減的趨勢;草地LL聚集區(qū)主要分布在1000~1200m高程區(qū),、15°~35°坡度區(qū),,各坡向上分布面積相差不大,與水域,、道路和居民點的距離較近且面積呈不斷減小趨勢,。

    Abstract:

    Aiming to reveal the coupling relationship between land use spatial autocorrelation patterns and natural—social—economic factors of Xiaolihe watershed located in loess hilly-gully region, the global and local spatial autocorrelation patterns of land use types were analyzed by the methods of Moran’s I, Moran scatter plot and Anselin local Moran’s I in the 500m×500m grid scale, meanwhile, the relationships between local cluster zones and the selected environmental factors were analyzed at the p<0.05 significant level based on GIS technology. The selected environmental factors included elevation, slope, aspect, water, roads and residential areas. The results showed that all land use types showed positive global spatial autocorrelation, but it was gradually decreased with the increase of distance. Within the distance of 32km, spatial attenuation intensity of autocorrelation of each land use type was different from the extension of distance. The spatial distribution of cultivated land and grassland showed significant HH (high value—high value) and LL (low value—low value) cluster trends, and that of garden land, forest land, construction land and unused land showed significant HH cluster trend. The HH cluster zones of grassland were mainly distributed in hills or mountains of the midstream and upstream watershed, the HH cluster zones of forest land were mainly distributed in gullies of the downstream watershed and mountains of the upstream watershed, and those of others were mainly distributed in wide loess ridges and wide river valleys of the downstream watershed. With the increase of elevation and slope, the areas of HH and LL cluster zones of each land use type were increased firstly and then decreased. The region, which was located in the elevation area of 1000~1300m, the slope area of 15°~25°, the sunny area and shady slope area, was the most diverse and concentrated area of HH cluster distribution of land use types. The HH cluster zones of construction land and forest land were mainly distributed in the elevation area of 1000~1100m, the HH cluster zones of cultivated land, garden land and unused land were mainly distributed in the elevation area of 1100~1200m, and those of grassland were mainly distributed in the elevation area of 1200~1300m. According to the average slope of HH cluster zones of each land use type in ascending order, the order was as follows: construction land, cultivated land, garden land, forest land, unused land and grassland. The HH cluster zones of construction land, garden land and cultivated land were mainly distributed in sunny area and semisunny area, in which the distribution area in sunny area was larger. The HH cluster zones of forest land and garden land were mainly distributed in shady slope area and sunny area, in which the distribution area in shady slope area was larger. With the increase of distance from water and roads, the areas of HH cluster zones of each land use type showed a declining trend except for unused land. With the increase of distance from residential areas, the areas of HH cluster zones of grassland were increased firstly and then decreased, and those of others showed a declining trend. The HH and LL cluster zones of each land use type were mainly distributed within the distance of 1.5km from water and roads as well as within the distance of 3km from residential areas. The areas of HH cluster zones of construction land, garden land and cultivated land were increased rapidly with the decrease of distance to water, roads and residential areas. Compared with HH cluster zones, the LL cluster zones of cultivated land were mainly distributed in the elevation area of greater than 1200m,and the average slope of the LL cluster zones was increased. The distribution area of the LL cluster zones of cultivated land in the sunny area was slightly larger than those in other aspects. The LL cluster zones of cultivated land were farther away from water and residential areas, and the areas of which were firstly increased and then decreased. While the LL cluster zones of grassland were mainly distributed in the elevation area of 1000~1200m and the slope area of 15°~35°, and the distribution area of the LL cluster zones in each aspect was similar. The LL cluster zones of grassland were closer to water, roads and residential area, and the areas of which showed a declining trend.

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付金霞,鄭粉莉,李媛媛.小理河流域土地利用空間自相關格局與影響因素分析[J].農業(yè)機械學報,2017,48(1):128-138. FU Jinxia, ZHENG Fenli, LI Yuanyuan. Analysis of Land Use Spatial Autocorrelation Patterns and Influence Factors of Xiaolihe Watershed[J]. Transactions of the Chinese Society for Agricultural Machinery,2017,48(1):128-138.

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  • 收稿日期:2016-06-18
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  • 在線發(fā)布日期: 2017-01-10
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