[1]李刚,卢晓宁,边金虎,等.岷江上游土地资源承载力评价[J].水土保持研究,2015,22(01):262-268.
　LI Gang,LU Xiaoning,BIAN Jinhu,et al.Evaluation of Land Carrying Capacity in Upper Reaches of Minjiang River[J].Research of Soil and Water Conservation,2015,22(01):262-268.
点击复制

岷江上游土地资源承载力评价

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 22 期数: 2015年01期 页码: 262-268 栏目: 出版日期: 2015-02-28
Title:
Evaluation of Land Carrying Capacity in Upper Reaches of Minjiang River
作者:
李刚1,2, 卢晓宁1, 边金虎2, 李爱农2, 雷光斌2, 南希2, 姜琳1,2
1. 成都信息工程学院, 成都 610225;
2. 中国科学院水利部成都山地灾害与环境研究所, 成都 610041
Author(s):
LI Gang1,2, LU Xiaoning1, BIAN Jinhu2, LI Ainong2, LEI Guangbin2, NAN Xi2, JIANG Lin1,2
1. Chengdu University of Information Technology, Chengdu 610225, China;
2. Institute of Mountain Hazards and Environment, CAS, Chengdu 610441, China
关键词:
土地资源承载力; DPSIR; 主成分分析; 岷江上游
Keywords:
land carrying capacity; DPSIR; principal component analysis; upper reaches of Minjiang River
分类号:
F30.124
摘要:
岷江上游地形复杂、人地矛盾突出，特别是2008年汶川特大地震后，土地资源成为本地区的稀缺资源。应用GIS与DPSIR模型，首先构建了针对岷江上游土地资源承载力的评价指标体系，实现了各指标的格网化，进一步应用主成分分析法确定指标权重，计算土地资源相对承载力，并将结果划分为相对高、较高、中、较低、低5个等级。分析表明：：（1）岷江上游土地资源相对承载力总体呈东高西低的规律，五县依次为茂县 > 汶川 > 理县 > 黑水 > 松潘，相对中等级区面积最大达到33.2%，相对高等级区最小仅为4.8%；（2）社会经济、放牧类指标对该区土地资源承载力影响较大；（3）汶川地震区土壤侵蚀严重，但属于相对中等级区；（4）土地利用类型和效率等状态因子对区域内土地资源承载力最为敏感，贡献率均值达到72%。研究对岷江上游土地资源利用及区域可持续发展具有一定的参考意义，为汶川地震灾后重建和发展提供支撑。
Abstract:
With the complex terrain and prominent contradiction between human and land of the upper reaches of Minjiang River, land resources are scarce in this region, especially after the Wenchuan earthquake in 2008. This paper built the land carrying capacity index system for the upper reaches of Minjiang River with the aid of DPSIR model and distributes data to grid with help of GIS, and then, principal component analysis (PCA) was applied to calculate weights for each index. The capacity of land carrying is divided into five grades: relatively high, high, medium, relatively low, low. Results show that: (1) land carrying capacity of the upper reaches of Minjiang River follows the law of the high capacity in the east and the low capacity in the west in general. The order of five counties from good to bad is that Maoxian, Wenchuan, Lixian, Heishui and Songpan. The intermediate zone size is the biggest, accounting for 33.2%. The high-grade area size is the smallest, accounting for 4.8%; (2) indexes of social economy and herding in the area has a greater influence on the land carrying capacity; (3) the soil erosion of Wenchuan earthquake area is serious, but its land carrying capacity is relatively medium; (4) through the analysis on the contribution rate of a rule layer, it can be seen that the state factors about efficiency and types of land use are the most sensitive layer to the evaluation results. The average contribution rate is 72%. This study is of great significance to land resources utilization and regional sustainable development in the upper reaches of Minjiang River and provides support for reconstruction and development of Wenchuan after the earthquake.

参考文献/References:

[1] Sara J, Heidi H, Alan B A, et al. Identification of superfluous roads in terms of sustainable military land carrying capacity and environment[J]. Journal of Terramechanics,2011,48(2):97-104.
[2] Murray L. The carrying capacity imperative:Assessing regional carrying capacity methodologies for sustainable land-use planning[J]. Land Use Policy,2010,27(4):1038-1045.
[3] Haraldsson H V, Olafsdóttir R. A novel modelling approach for evaluating the preindustrial natural carrying capacity of human population in Iceland[J]. Science of the Total Environment,2006,372(1):109-119.
[4] Wang X J, Zhang J Y, Liu J F, et al. Water resources and planning and management based on system dynamics:a case study of Yulin city[J]. Environ. Dev. Sustain.,2011,13(2):331-351.
[5] Li H P, Yu B. Numerical study of regional environmental carrying capacity for livestock and poultry farming based on planting-breeding balance[J]. Journal of Environmental Sciences,2013,25(9):1882-1889.
[6] 彭立,刘邵权.土地功能视角下的土地资源人口承载力研究:以攀枝花、六盘水市为例[J].长江流域资源与环境,2012,21(S1):74-81.
[7] Zhen L, Cao S Y, Cheng S K, et al. Arable land requirements based on food consumption patterns:Case study in rural Guyuan District Western China[J]. Ecologic economics,2010,69(7):1443-1453.
[8] 叶延琼,樊宏,陈国阶.岷江上游土地退化及其防治对策[J].水土保持通报,2002,22(6):56-58.
[9] 柳金峰,游勇,陈兴长.岷江上游潜在性泥石流堰塞湖危害及判识[J].地理科学,2012,32(7):885-891.
[10] 赵永华,何兴元,胡远满,等.岷江上游土地利用覆被变化及其驱动力[J].应用生态学报,2006,17(5):862-866.
[11] 马超飞,马建文,哈斯巴干,等.基于RS和GIS的岷江流域退耕还林还草的初步研究[J].水土保持学报,2001,15(4):20-24.
[12] Zhao X G, Xiao L, Lan Y X, et al. Dynamics of ecological footprint and ecological capacity of Shanxi[J]. Scientia Agricultura Sinica,2005,38(4):746-753.
[13] Yue T X, Tian Y Z, Liu J Y, et al. Surface modeling of human carrying capacity of terrestrial ecosystems in China[J]. Ecological Modelling,2008,214(2):168-180.
[14] Shi Y, Wang H, Yin C. Evaluation method of urban land population carrying capacity based on GIS:A case of Shanghai,China[J]. Computers Environment and Urban Systems,2013,39:27-38.
[15] 吕宝,王成端,周亚红.绵阳市土地资源承载力研究[J].合肥工业大学学报:自然科学版,2007,30(4):489-492.
[16] 哈斯巴根,李百岁,宝音,等.区域土地资源人口承载力理论模型及实证研究[J].地理科学,2008,28(2):189-194.
[17] He R W, Liu SH Q, Liu Y W.Application of SD model in Analyzing the Cultivated Land Carrying Capacity:A Case Study in Bijie Prefecture, Guizho Province, China[J]. Procedia Environmental Sciences,2011,10:1985-1991.
[18] 何兴元,胡志斌,李月辉,等.支持下岷江上游土壤侵蚀动态研究[J].应用生态学报,2005,16(12):2271-2278.
[19] 李爱农,周万村,江晓波.遥感和GIS技术支持下的岷江上游15a土地利用/土地覆被动态变化研究[J].水土保持学报,2003,27(4):153-156.
[20] 李爱农,周万村,江晓波,等.土地利用与土地覆被时空动态变化分析:以岷江上游地区为例[J].地球信息科学,2003,5(2):100-104.
[21] 姜琳,李爱农,边金虎,等.岷江上游2000-2010年土壤侵蚀时空格局动态变化分析[J].水土保持学报2014,28(1):18-25.
[22] Skoulikidis N T. The environmental state of rivers in the Balkans:A review within the DPSIR framework[J]. Science of the Envrronment,2009,407(8):2501-2516.
[23] Amanda J G, Jonathan P A, Daryl B, et al. A problem structuring method for ecosystem-based management:The DPSIR modelling process[J]. European Journal of Operational Research,2013,227(3):558-569.
[24] 刘艳锋,陈学华,贺秀斌,等.岷江上游土壤侵蚀与土地利用的耦合关系研究[J].西北林学院学报,2009,24(5):161-165,185.
[25] 周睿,胡玉喆,熊颖,等.岷江上游河岸带土地覆盖格局及其生态学解释[J].植物生态学报,2007,31(1):2-10.
[26] 杨兆平,常禹,问青春.岷江上游干旱河谷耕地和居民用地的空间特征[J].生态学杂志,2007,26(3):327-331.
[27] 杨奇勇,杨劲松,李晓明,等.基于GIS的盐渍土改良区耕地土壤适宜性评价[J].自然资源学报,2011,26(3):477-485.
[28] 王雪梅,李新,马明国.干旱区内陆河流域人口统计数据的空间化:以黑河流域为例[J].干旱区资源与环境,2007,21(6):39-47.
[29] Steven M Q, Srinivasan G. Evaluating the utility of the Vegetation Condition Index(VCI)for monitoring meteorological drought in Texas[J]. Agricultural and Forest Meteorology,2010,150(3):330-339.
[30] Liu Z X, Zhang R. A new method that can improve regional eco-environmental evaluation:combining GIS with AHP[J]. Resour. Environ. Yangtze Basin,2003,12(2):163-168.
[31] Christoph M, Inga-Lena D, Heiko von der G. A Delphi-based risk analysis:Identifying and assessing future challenges for supply chain security in a multi-stakeholder environment[J]. Technological Forecasting and Social Change,2013,80(9):1815-1833.
[32] Parinet B, Lhote A, Legube B. Principal component analysis:an appropriate tool for water quality evaluation and management:application to a tropical lake system[J]. Ecol. Model.,2004,178(3):295-311.
[33] 胡碧玉,胡昌升,郭郡郡.基于熵权的川北城市生态系统健康综合评价[J].水土保持研究,2010,17(6):158-162,168.
[34] 孙奇奇,宋戈,齐美玲.基于主成分分析的哈尔滨市土地生态安全评价[J].水土保持研究,2012,19(1):234-238.
[35] 徐博,雷国平,张慧,等.基于主成分分析法和GIS的土地利用综合分区研究:以黑龙江省红兴隆垦区五九七农场为例[J].水土保持研究,2013,20(2):186-190,200.
[36] Li A N, Wang A S H, Liang S H L, et al. Eco-environmental vulnerability evaluation in mountainous region using remote sensing and GIS:A case study in the upper reaches of Minjiang River, China[J]. Ecological Modelling,2006,192(1):175-187.
[37] 郭兵,陶和平,姜琳,等.自然灾害胁迫下的岷江上游生态环境宜居性评价[J].水土保持通报,2013,33(1):124-128.

相似文献/References:

[1]施开放,刁承泰.重庆市粮食生产发展特征及土地资源承载力空间格局研究[J].水土保持研究,2012,19(04):168.
　SHI Kai-fang,DIAO Cheng-tai.Development of Grain Production and Spatial Pattern of Land Carrying Capacity in Chongqing City[J].Research of Soil and Water Conservation,2012,19(01):168.
[2]陈玲玲,林振山,谢正磊.人类活动与土地资源的动力学关系研究[J].水土保持研究,2007,14(02):239.
　CHEN Ling-ling,LIN Zhen-shan,XIE Zheng-lei.The Dynamic Relationship of Land Resource and Human Activity[J].Research of Soil and Water Conservation,2007,14(01):239.
[3]岳晓燕,宋伶英.土地资源承载力研究方法的回顾与展望[J].水土保持研究,2008,15(01):254.
　YUE Xiao-yan,SONG Ling-ying.Research Review and Prospect of Land Carrying Capacity[J].Research of Soil and Water Conservation,2008,15(01):254.
[4]魏媛,吴长勇,曾昉,等.喀斯贫困山区土地资源承载力动态分析与预测[J].水土保持研究,2016,23(06):322.
　WEI Yuan,WU Changyong,ZENG Fang,et al.Analysis and Prediction of Land Resources Carrying Capacity in Karst Mountainous Areas[J].Research of Soil and Water Conservation,2016,23(01):322.
[5]于海洋,张飞,曹雷.精河县土地利用/覆被变化及土地生态安全研究[J].水土保持研究,2017,24(06):348.
　YU Haiyang,ZHANG Fei,CAO Lei.Research of Land Use/Cover Change and Land Ecological Security in Jinghe County[J].Research of Soil and Water Conservation,2017,24(01):348.
[6]史娜娜,全占军,韩煜,等.基于生态敏感性评价的乌海市土地资源承载力分析[J].水土保持研究,2017,24(01):239.
　SHI Nana,QUAN Zhanjun,HAN Yu,et al.Analysis of Land Resources Carrying Capacity in Wuhai City Based on Ecological Sensitivity[J].Research of Soil and Water Conservation,2017,24(01):239.
[7]党晶晶,孙斌.基于DPSIR概念模型的黄土丘陵区协调发展预测评估——以志丹县为例[J].水土保持研究,2016,23(04):143.
　DANG Jingjing,SUN Bin.Forecast and Evaluation of Coordinated Development of Ecology-Economy-Society System Based on DPSIR Framework in the Loess Hilly Region—Taking Zhidan County as a Case Study[J].Research of Soil and Water Conservation,2016,23(01):143.
[8]全江涛,杨永芳,周嘉昕.河南省土地资源承载力时空演变分析与预测[J].水土保持研究,2020,27(02):315.
　QUAN Jiangtao,YANG Yongfang,ZHOU Jiaxin.Analysis and Prediction of Spatial and Temporal Evolution of Land Resource Carrying Capacity in Henan Province[J].Research of Soil and Water Conservation,2020,27(01):315.

备注/Memo

收稿日期:2014-01-14;改回日期:2014-03-31。
基金项目:中国科学院成都山地所“一三五”方向性项目（SDS-135-1204-05）。中国科学院和四川省“百人计划”项目（Y2R1130130）；中国科学院知识创新重要方向性项目（KZCX2-YW-QN313）；国家自然科学基金项目（41401103）；四川省科技计划应用基础研究项目（2014JY0084）
作者简介:李刚(1987-),男,山东济南人,硕士研究生,主要研究方向为环境遥感应用研究。E-mail:jianke19872008@163.com
通讯作者:卢晓宁(1980-),女,山东青岛人,副教授,博士,主要研究方向为资源环境遥感。E-mail:lxn@cuit.edu.cn

更新日期/Last Update: 1900-01-01