基于GIS的青海省季节牧场研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
青海省位于青藏高原东北部,地势高耸,山脉绵亘,平均海拔在3000m以上,属高原大陆性气候,草原面积在我国居第4位,是我国的第四大草原省区,天然草地面积3.636×105 km2,占全省总面积的50.34%,其中可利用草地面积3.153×105 km2。畜牧业在青海省农业经济中占主导地位,也是牧区人民经济收入的基础。
     青海省的草地畜牧业对自然条件的依赖性较强,表现出明显的季节性利用特点,即按季节划分放牧的草地,并随季节的更替轮流放牧。草地的季节性利用是我国西部地区草地畜牧业的显著特征,是牧民长期进行畜牧业生产的经验总结,具有一定的科学性,有利于协调家畜的采食需求与牧草生长的季节性、地域性之间的差异,从而达到经济效益与生态效益的最优化发展。准确掌握草地的季节利用状况,可以为草地畜牧业的管理和规划提供科学的指导依据。
     本研究基于GIS平台以青海省为研究区域,依据研究区地势高,海拔落差大的地理特征和牧草的生长及利用的垂直地带性规律,确定了利用海拔划分季节性牧场的基本思路;考虑到人类活动因素对草地利用越来越明显的影响,确定了依据人口分布划分季节性牧场的修正方案,最后对这两种划分方案进行综合,形成了双影响因子划分季节性牧场的新方法。利用GIS强大的空间分析功能,对青海省8个地区分别建立运算模型,以1km2栅格为最小单位,研究其草地的季节利用状况,实现对季节牧场的精确划分,并对研究结果划分的青海省季节牧场的分类精度和两种季节牧场的比例分别进行了验证。
     研究结果表明:青海省草地总面积约为3.8×105km2,全省冬春场草地总面积为1.7×105km2,占全省草地面积的44.62%,夏秋场草地总面积为2.0×105km2,占全省草地面积的52.52%,其它利用方式的草地面积为0.1×105km2,占全省草地面积的2.87%。精度验证的结果显示:双影响因子划分的青海省季节牧场图的分类精度为66.65%,8个地区两种牧场所占的比例与实际的调查数据非常接近,能够准确地反映实际的草地季节利用状况。
Qinghai Province is located at the northeastern part of Tibetan Plateau. There are large amount of continuous mountains on the plateau, and the elevation there is high, with an average elevation over 3000m. The climate there is plateau-continental climate. Qinghai Province is the fourth largest grassland province in China, with 3.636×105km2 of natural grassland, which is 50.34% of the area of whole province. Livestock husbandry is the mainstay industry of the province, as well as the economic basis of the live and development the population there.
     Grassland livestock husbandry in Qinghai province is highly dependent on environment, featuring a significant seasonal utilizing of pastureland. The seasonal utilizing of pastureland refers to a pasturing method that divides grassland with seasonal category, and perform a cycle that grazing on different pastureland that following the change of seasons. Seasonal utilizing of pastureland is a key feature of the grassland livestock husbandry in the western part of China. This method is based on the long experience of local herdsmen, and is somewhat scientific. The difference of foraging need between livestock, the seasonal and territorial difference of growth between various species of grass, can be coordinated with this method, for the optimized economic and environmental development. Accurate learning of the seasonal utilize of grassland can be a scientific support to the management and planning of grassland livestock husbandry.
     This study is based on GIS, with Qinghai province as study area. The research approach of dividing seasonal pastureland is based on the significant elevation difference in study area and the vertical zonality in the growth and utilizing of forage grass. Another approach is to take the influence of population into consideration, and to modify the main approach with the factor population distribution. The combination of the two approaches is the new dual-factor method of dividing seasonal pastureland. With the spatial analysis module of GIS software, simulation model is constructed for 8 areas of Qinghai province, which taken lkm2 as minimum spatial resolution, to study the seasonal utilizing of grassland in study areas, and to perform an accurate divide of seasonal pastureland. An assessment of accuracy of the classification of seasonal pastureland and the area ratio of two types of seasonal pastureland was also conducted.
     The result showed that the total areas of grassland in Qinghai is about 3.8×105km2, total areas of winter and spring seasonal pastureland is about 1.7×105km2, which is 44.62 of total areas of grassland; total areas of summer and autumn seasonal pastureland is about 2.0×105km2, which is 52.52% of total areas of grassland; other type of seasonal pastureland is about 0.1 X 105km2, which is 2.87% of total areas of grassland. Accurate assessment showed that the classification accuracy of the seasonal pastureland map of Qinghai province is 66.65%, and the ratio between two main categories of pastureland is very close to the field survey in 8 areas, that can accurately reflect the actual utilization of the grass season.
引文
[1]北方草场资源调查办公室编.草场资源调查技术规程.北京中国农业科技出版社,1986.
    [2]曹晔,杨玉东.论中国草资源的现状原因与持续利用对策.草业科学,1999,16(4):1-6.
    [3]陈富华,孟林,朱进忠.天山北坡中段天然草地季节利用配置模式研究.草畜家畜,2000(增刊):32-37.
    [4]陈全功,钞振华,毛玉林.阿勒泰地区草地生产力变化及对策.草业科学,2004,21(11):11-16.
    [5]陈全功,梁天刚,卫亚星.青海省达日县退化草地研究Ⅱ退化草地成因分析与评估.草业学报,1998,7(4):44-48.
    [6]陈全功,卫亚星,梁天刚,李建龙.遥感技术在草地资源管理上的应用进展.草原与草坪,1994,64(1):1-12.
    [7]陈全功,卫亚星,梁天刚.青海省达日县退化草地研究Ⅰ退化草地遥感调查.草业学报,1998,7(2):58-63.
    [8]陈全功.关键场与季节牧场及草地畜牧业的可持续发展.草业学报,2005,14(4):29-34
    [9]陈全功.中国草原监测的现状与发展.草业科学,2008,25(2):29-38.
    [10]崔恒心,张江玲,阿斯娅.转变经营方式优化资源利用推动草地畜牧业改革和发展.中国草地,1998,(5):77-80.
    [11]崔恒心.新疆牧民定居与饲料地建设方案研究.乌鲁木齐,新疆人民出版社,2000.
    [12]单宝艳,徐建华.草地生态经济系统持续发展的优化模型.草业科学,1995,12(6):9-12.
    [13]杜占池.我国牧地资源的永续利用与牧业持续发展对策.草业科学,2001,18(5):22-27.
    [14]樊江文,钟华平,等.50年来我国草地开垦状况及其生态影响.中国草地,2002,24(5):69-72.
    [15]冯听炜,张力,郑中朝,等.青海海南不同季节牧场放牧绵羊采食量与消化率的研究.中国草食动物,2005,25(5):18-20.
    [16]甘肃草原生态研究所草地资源室,西藏自治区那曲地区畜牧局.西藏那曲地区草地畜牧业资源.兰州:甘肃科技出版社,1991.
    [17]耿文诚,马兴跃,马宁.云贵高原人工草地划区轮牧模式研究.草业学报,2000,9(3):58-65.
    [18]国家环境保护总局.中华人民共和国环境保护行业标准《生态环境状况评技术规范(试行)》(HJ/T192-2006).北京:中国环境出版社,2006.
    [19]胡自治.草原分类学概论.北京中国农业出版社,1996.
    [20]黄大明.高寒草甸放牧生态系统夏秋草场轮牧制度的模拟研究.生态学报,1996,16(6):607-611.
    [21]靳瑰丽.基于3S技术的草地资源利用优化格局的研究[硕士学位论文].乌鲁木齐:新疆农业大学,2003.
    [22]李海梅,安沙舟,朱进忠,等.牧民定居后季节草场优化配置的研究.生态学杂志,2003,22(2):5-8.
    [23]李海梅.牧民定居后季节草场优化配置的研究[硕士学位论文].乌鲁木齐:新疆农业大学,2001.
    [24]李红梅,马玉寿.改进的综合顺序分类法在青海草地分类中的应用.草业学报,2009,18(2):76-82.
    [25]李建龙,许鹏等.不同轮牧强度对天山北坡低山带蒿属荒漠春秋场土草畜影响研究.草业学报,1993,2(2):60-65.
    [26]李俊生.呼伦贝尔草原冬春季牧草营养质量的初步分析.中国草食动物,1999,1(5):30-31.
    [27]李霞.北疆地区草地地上生物量遥感监测研究[硕士学位论文].兰州:兰州大学,2008.
    [28]李柱,赵德云,李瑞年,等.天山北坡季节牧场牧草营养动态研究.草业科学,2001,18(5):1-4.
    [29]林波,谭支良,汤少勋,等.草地生态系统载畜量与合理放牧率研究方法进展.草业科学,2008,25(8):91-99.
    [30]刘起.饲用植物资源在我国天然草地上分布特征.中国草
    地,1996,18(3):45-48.
    [31]洛桑·灵智多杰.青藏高原甘南生态经济示范区研究.兰州:甘肃科学技术出版社,2005.
    [32]马轩龙.基于3S技术对青海省草地资源生产力的监测[硕士学位论文].兰州:兰州大学,2008.
    [33]孟林等.天山北坡中段草原畜牧业生产经营现状、问题与优化对策.草食家畜,2000(增刊):28-31.
    [34]闵庆文,谢高地,胡聃,等.青海草地生态系统服务功能的价值评估.资源科学,2004.26(3):50-60.
    [35]七户长生,丁泽霁.干旱、游牧、草原——中国干旱地区草原畜牧经营.农业出版社,1994.
    [36]青海省畜牧局草原工作队.青海省草场资源.1977.
    [37]青海省地方志编纂委员会.青海年鉴(2000年版).西宁,2000.
    [38]青海省农牧业区划委员会办公室,海南州农牧业区划委员会办公室,共和县农牧业区划委员会办公室.青海省共和县综合农牧业区划报告.1988.
    [39]任继周,王钦,胡自治.草原生产流程及季节畜牧业.中国农业科学,1978,(2):87.
    [40]任继周.草业科学研究方法.北京:中国农业出版社出版,1998.
    [41]任玉平,黄军,王吉云.新疆乌昌地区牧民定居现状与新牧区建设方案.草业科学,2008,25(5):82-86.
    [42]吐尔逊娜依·热依木.牧民定居现状分析与发展对策研究[博士学位论文].乌鲁木齐:新疆农业大学,2004.
    [43]万里强,侯向阳.对青海草地畜牧业的几点认识.农业科技通讯,2002,3.
    [44]王启基,景增春,王文颖.青藏高原高寒草甸草地资源.青海草业,1997,6(3):1-11.
    [45]徐鹏.草地资源调查规划学.北京:中国农业出版社,2000.
    [46]许鹏,安沙舟.荒漠草地生态优化的调控原则和总体模式.植物生态学报,1996,20(5):389-396.
    [47]许鹏.对发展畜牧业的几点看法和建议.新疆日报,1996,5.26.
    [48]许鹏.绿洲——荒漠过渡带草地状况与开发原则.中国草地,1995,(5).
    [49]许鹏.实施草地置换振兴草牧产业.草业科学(增刊),2002:381383.
    [50]叶尔道来提等.巴音布鲁克区阿尔夏特村季节草地配置总结.草食家畜,2000(增刊):85-86.
    [51]袁雷.甘南州天然草地载畜量遥感监测[硕士学位论文].兰州:兰州大学,2008.
    [52]约翰W.朗沃斯,格里格J.威廉目森.中国的牧区.甘肃文化出版社,1995.
    [53]泽柏.川西北高寒牧区草地优化经营研究综合报告.四川草原,1990(1):1-4.
    [54]张波.西北农牧史.西安:陕西科学技术出版社,1989.
    [55]张宏斌,杨桂霞,黄青,等.呼伦贝尔草甸草原景观格局时空演变分析.草业学报,2009,18(1):134-143.
    [56]张忠孝.青海地理.西宁:青海人民出版社,2004.
    [57]赵雪雁.高寒牧区草地退化的人文因素研究.草业学报,2007,16(6):113-120.
    [58]中华人民共和国农业部.NY/T 1343-2007.草原划区轮牧技术规程(农业行业标准).北京:中国标准出版社,2007.
    [59]中华人民共和国农业部序幕兽医司,全国畜牧兽医总站.中国草地资源.北京:中国科技出版社,1996.
    [60]中华人民共和国统计局.中国统计年鉴(2003版).北京:中国统计出版社,2003.
    [61]朱进忠等.新疆山地草原畜牧业高效发展技术研究与进展.草食家畜,2000(增刊):1-3.
    [62]Alsayyad N. Squatting. Culture and development:a comparative analysis of informal settlements in Latin America and the Middle East. Journal of Developing Societies,1993,9(2):139-155.
    [63]Bosch O J H. Degradation of the semi-arid grasslands of southern Africa. Journal of Arid Environments,1989,16:165-175.
    [64]Guo X, Price K P, Stiles J M. Modeling biophysical factors for grasslands in Eastern Kansas using Landsat TM data. Transactions of the Kansas Academy of Science,2000,103(3-4):122-138.
    [65]JohnT.Lee. The Role of GIS in Landscape Assessment Using Land-use-based Criteria for an Area of the Chiltern Hills Area of Outstanding Natural Beauty. Land Use Policy,1999,16:23-32.
    [66]K.Kim. Urban Non-point-source pollution Assessment Using a Geographical Information System. Environment Manag,1993,39(2):157-170.
    [67]Mora Aliseda J. Population density and the natural physical environment of Extremadura. Revista de Estudios Agro Sociales,1990,(153):219-239.
    [68]Paruelo J M, Epstein H.E, Lauenroth W K, et al. A NPP Estimates from NDVI for the central grassland reigion of the United States. Ecology,1997,78(3):953-958.
    [69]Pickup G, Bastin G N, Chewings V H. Remote sensing-based condition assessment for non-equilibrium rangelands under large scale commercial grazing. Ecological Application,1994,4(3):497-517.
    [70]Price K P, Crooks T J, Martinko E A. Grasslands across time and scale:a remote sensing perspective. Photogrammetric Engineering and Remote Sensing,2001,67(4):414-420.
    [71]Ringrose S, Musisi Nkambwe S, Coleman T, et al. Use of Landsat Thematic Mapper data to assess seasonal rangeland changes in the Southeast Kalahari, Botswawa. Environmental Management,1999,23(1):125-138.
    [72]Tucker C J. Satellite Remote Sensing of total herbaceous biomass production in the Senegalese shel:1980-984. Remote Sense.Environment,1985,17:233-249.