西南科技大学 土木工程与建筑学院,四川,绵阳,621000
纸质出版:2020
移动端阅览
刘涛, 侯兰功. 川北地形过渡带地形因子对土地利用与景观格局变化的影响[J]. 水土保持通报, 2020,40(4):75-82.
Liu Tao, Hou Langong. Effects of Terrain Factors on Land Use and landscape Pattern Change in Terrain Transition Zone of Northern Sichuan Province[J]. Bulletin of Soiland Water Conservation, 2020, 40(4): 75-82.
刘涛, 侯兰功. 川北地形过渡带地形因子对土地利用与景观格局变化的影响[J]. 水土保持通报, 2020,40(4):75-82. DOI: 10.13961/j.cnki.stbctb.2020.04.011.
Liu Tao, Hou Langong. Effects of Terrain Factors on Land Use and landscape Pattern Change in Terrain Transition Zone of Northern Sichuan Province[J]. Bulletin of Soiland Water Conservation, 2020, 40(4): 75-82. DOI: 10.13961/j.cnki.stbctb.2020.04.011.
[目的
]
基于地形特征分析不同用地类型时空分布变化,不仅能解释土地利用时空变化规律,并能更进一步为优化土地利用结果,生态环境保护奠定基础。[方法
]
基于四川省北部江油市2003,2010,2018年3期遥感影像,运用土地利用转移矩阵法,分析不同用地类型之间的转化情况;接着利用地形位指数法、分布指数法,分析地形因子影响下不同用地类型分布指数变化特征;之后利用移动窗口法,探究景观格局中斑块密度与Shannon多样性指数时空变化规律;最后结合双变量空间相关性分析,分析地形因子与景观指数间的空间相关性特征。[结果
]
①在2003—2010年期间,水田面积减少最多(减少面积2 238.98 hm
2
),建设用地面积增加最多(面积增加3 360.36 hm
2
);在2010—2018年期间,水田面积减少1 175.84 hm
2
,建设用地面积增加1 614.78 hm
2
;2003—2010年期间江油市土地利用的变化量整体高于2010—2018年。②北部山区主要由旱地转移为林草地,南部平原地区主要为水田转移为建设用地,中部丘陵区域旱地和水田相互转化强烈。③随时间变化,旱地和未利用地优势等级向中地形位等级靠拢;低地形位等级上建设用地、水田和水域优势度逐渐降低,并具有优势等级向较高地形位等级扩展趋势。④山区河流沿岸以及山地平原交汇处斑块密度与Shannon多样性指数较高,且呈线性分布;随时间变化,丘陵区域斑块密度增加,主城区附近Shannon多样性指数呈下降趋势。⑤高—高聚集区主要表现为向山地丘陵交汇处聚集;城区附近景观指数因受其他因素影响较多,导致该区域景观指数与地形位指数呈现出不显著相关性。[结论
]
在地形过渡带区域,不同地貌对于各类用地变化的影响在时空上存在差异性,其地形因子与景观指数的空间相关性差异明显。
[Objective] The temporal and spatial distribution changes of different land use types based on topographic characteristics were studied in order to provide the basis for optimizing land use and ecological environmental protection. [Methods] Based on the remote sensing images of Jiangyou City in Northern Sichuan Province in 2003
2010
and 2018
the land-use transfer matrix method was used to analyze the conversion between different types of land use. The topographic index method and distribution index method was used to analyze different land uses under the influence of topographic factors. Then
the moving window method was used to explore the spatial and temporal changes of patch density and Shannon's diversity index. Finally
the spatial and temporal changes between topographic factors and landscape indexes were analyzed by combining the two-variable spatial correlation analysis. [Results] ① From 2003 to 2010
the paddy field area decreased the most
with a reduction of 2 238.98 hm2
while the construction land area increased the most
with an increase of 3 330.36 hm2 during 2010—2018. The paddy field area decreased by 1 175.84 hm2
and the construction land area increased by 1 614.78 hm2. The total amount of land use change in Jiangyou City during 2003—2010 was higher than that in 2010—2018. ② The land transfer in the northern mountainous areas was mainly from dry land to forest grassland
the southern plains were mainly from paddy fields to construction land
and the dry land and paddy fields in the central hilly region were strongly transformed. ③ Over time
the advantages of dry land and unused land had moved closer to the middle terrain level
the dominance of construction land
paddy fields
and water areas had gradually decreased on the low terrain level
and the advantage level had a tendency to expand to higher terrain level. ④ The patch density and Shannon diversity index were higher along mountain river banks and at the intersection of hills and plains
and showed a linear distribution. The patch density in hilly areas increased with time
and the Shannon diversity index near the main urban area showed a downward trend. ⑤ The high clustering area was mainly distributed at the intersection of hills and mountains
the landscape index near the urban area was affected by other factors
which causes the area's landscape index to show insignificant correlation with the topographical level index. [Conclusion] In the area of terrain transition zone
the impacts of different landforms on the changes of various land use types are different in time and space
and the spatial correlation between the terrain factor and the landscape index is obviously different.
万炜,魏伟,钱大文,等.土地利用/覆被变化的环境效应研究进展[J].福建农林大学学报(自然科学版),2017,46(4):361-372.
陈亚宁,杨青,罗毅,等.西北干旱区水资源问题研究思考[J].干旱区地理,2012,35(1):1-9.
臧玉珠,刘彦随,杨园园.山区县域土地利用格局变化及其地形梯度效应:以井冈山市为例[J].自然资源学报,2019,34(7):1391-1404.
梁发超,刘黎明.基于地形梯度的土地利用类型分布特征分析:以湖南省浏阳市为例[J].资源科学,2010,32(11):2138-2144.
钟德燕,常庆瑞,宋丰骥.黄土丘陵沟壑区土地利用空间分布与地形因子关系研究[J].干旱区资源与环境,2012,26(6):102-107.
吴楠,高吉喜,苏德毕力格,等.长江上游不同地形条件下的土地利用/覆盖变化[J].长江流域资源与环境,2010,19(3):268-275.
蔺小虎,姚顽强,邱春霞.黄土丘陵沟壑区退耕驱动下土地利用变化:以陕西省安塞县纸坊沟流域为例[J].山地学报,2015,33(6):759-769.
肖思思,吴春笃,储金宇.1980-2005年太湖地区土地利用变化及驱动因素分析[J].农业工程学报,2012,28(23):1-11,293.
许宁,张广录,刘紫玉.基于地形梯度的河北省太行山区土地利用时空变异研究[J].中国生态农业学报,2013,21(10):1284-1292.
陈永林.基于3S技术的土地利用研究进展与展望[J].赣南师范学院学报,2014,35(3):121-124.
哈凯,丁庆龙,门明新,等.山地丘陵区土地利用分布及其与地形因子关系:以河北省怀来县为例[J].地理研究,2015,34(5):909-921.
蒲罗曼,张树文,李飞,等.基于地形因子的吉林西部地区土地利用变化研究[J].东北师大学报(自然科学版),2016,48(2):133-140.
黄奕龙,陈利顶,傅伯杰,等.黄土丘陵小流域地形和土地利用对土壤水分时空格局的影响[J].第四纪研究,2003,23(3):334-342.
路昌,雷国平,周浩,等.挠力河流域土地利用变化及地形梯度效应分析[J].中国土地科学,2017,31(8):53-60,97.
刘世梁,安南南,侯笑云,等.澜沧江下游景观破碎化时空动态及成因分析[J].生态环境学报,2018,27(7):1351-1358.
朱小莉,王三,谢德体.山地城市土地利用地形分异特征及功能分区研究[J].浙江农业学报,2016,28(12):2090-2097.
傅家仪,臧传富,吴铭婉.1990-2015年海河流域土地利用时空变化特征及驱动机制研究[J].中国农业资源与区划,2020,41(5):131-139.
徐兰,罗维,周宝同.基于土地利用变化的农牧交错带典型流域生态风险评价:以洋河为例[J].自然资源学报,2015,30(4):580-590.
王权,李阳兵,刘亚香,等.基于地形梯度的岩溶槽谷区土地利用空间格局分析[J].生态学报,2019,39(21):7866-7880.
赵浩舟,王卫红,武锋强,等.基于土地利用变化的江油市生境质量时空变化分析[J].西南科技大学学报,2018,33(1):49-54.
罗娜,张廷斌,易桂花,等.四川省江油市2004-2020年土地利用动态分析及预测[J].测绘与空间地理信息,2017,40(1):70-74.
陈斌,王宏志,李仁东.鄂西南山地土地利用时空格局的梯度效应研究[J].湖北大学学报(自然科学版),2019,41(2):109-117.
周志光,石晨,史林松,等.地理空间数据可视分析综述[J].计算机辅助设计与图形学学报,2018,30(5):747-763.
刘世梁,安南南,尹艺洁,等.广西滨海区域景观格局分析及土地利用变化预测[J].生态学报,2017,37(18):5915-5923.
0
浏览量
841
下载量
3
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621