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41.
李世龙 《中国沙漠》2022,42(6):44-52
沙漠化是青藏高原东缘高寒草地退化的重要指征,土壤理化性质是反映草地沙化过程的重要特征参数。以青藏高原东缘玛曲县为例,分析天然草地和轻度、中度、重度、极重度沙化草地土壤粒度组成、温湿度、有机碳和养分等因子的差异特征,旨在阐明高寒草地沙化过程中土壤理化性质的变化。结果表明:草地土壤黏土和粉沙含量随着沙化的发展显著减小,而沙颗粒含量(细沙和中沙)随着沙化程度的增加而增大;5—8月生长季,重度沙化土壤相比轻度沙化土壤温度明显升高,土壤含水量明显降低;随着沙化程度的增加,土壤有机碳含量显著降低,轻度沙化减少50%以上,中度至极重度沙化草地减少91%—99%;土壤全氮(TN)、碱解氮(AN)、全磷(TP)、有效磷(AP)等含量在轻度以上沙化草地中显著降低,而全钾(TK)变化不明显,速效钾(AK)仅在中度至极重度沙化草地中含量降低。高寒草地沙化进程中,随着植被盖度的不断降低,表层细颗粒物逐渐风蚀、土壤养分流失,粗颗粒物质保留下来,土壤含水量降低,在风的分选作用下不断堆积形成流动性沙丘。  相似文献   
42.
草地荒漠化是河西走廊面临的主要生态问题。探究河西走廊草地荒漠化的现状与变化,是维持地区生态安全、确保经济社会健康稳定发展的关键。本研究以2009、2014、2019年全国荒漠化监测数据为基础,结合同时期的气象和年鉴数据,利用趋势分析、灰色关联及结构方程模型等方法,分析了河西走廊草地荒漠化的动态变化规律,在此基础上,量化了驱动草地荒漠化的因素。结果表明:(1)河西走廊草地荒漠化威胁持续存在,2019年,荒漠化草地面积为371.93万hm2,占河西走廊草地总面积的43.7%,荒漠化程度以中度为主,占比为65.58%。(2)2009—2019年,荒漠化草地面积减少134.68万hm2,草地荒漠化得到有效遏制。根据草地荒漠化程度综合性评价指数,除金昌市外,酒泉市、嘉峪关市、张掖市和武威市草地荒漠化呈逆转趋势。(3)驱动草地荒漠化动态变化的各类因素中,年降水量增加有助于荒漠化逆转,年均气温、农作物播种面积、大牲畜存栏数、常住人口数与草地荒漠化呈正相关,其中常住人口数通过影响农作物播种面积间接导致草地荒漠化加剧。  相似文献   
43.
世界各国草地资源管理体制及其对我国的启示   总被引:2,自引:0,他引:2  
草地在世界各大洲均有分布,世界各国对草地资源的管理有着不同的体制与策略.本文梳理了各大洲主要国家的草地资源管理体制,分析了草地资源管理历史进程与趋势,总结了各国草地资源管理的优势和可资借鉴之处.结合我国草地资源管理中存在的问题,建议我国要在国家层面重视草地资源的管理,建立专门行政部门管理全国60忆亩草地,建立健全现有的草地资源管理体制,同时建立草原质量的监测数据网络,并加强对草地利用的监管力度.  相似文献   
44.
Understanding of biomass and water allocation in plant populations will provide useful information on their growth pattern and resource allocation dynamics. By direct measurement, the biomass and water...  相似文献   
45.
通过分析环境减灾卫星(HJ)的光谱特征,参考MODIS火情监测模型,发展了基于HJ卫星的火情遥感监测方法。针对甘肃省2011年2月10日发生在玛曲、2012年12月8日发生在岷县境内的2次草原火灾,研究了HJ卫星相应通道的本地化阈值,采用植被指数的多时相阈值法提取过火范围并计算了过火面积,同时与甘肃草原监理站的过火面积观测资料及同期MODIS的监测结果分别进行比对。结果表明,2次判定火点的阈值为T4〉310K;HJ卫星监测到的玛曲、岷县的火灾面积分别为65.3hm2、19.8hm2,监测精度为98%和90%,较MODiS监测精度提高了10.5%和2g.9%;Hj卫星进行火情遥感监测的空间分辨率更高,监测结果更精细,具有很好的业务化应用价值。  相似文献   
46.
开垦对内蒙古温带草地土壤不同有机碳组分的影响(英文)   总被引:3,自引:2,他引:1  
Cultivation is one of the most important human activities affecting the grassland ecosystem besides grazing, but its impacts on soil total organic carbon (C), especially on the liable organic C fractions have not been fully understood yet. In this paper, the role of cropping in soil organic C pool of different fractions was investigated in a meadow steppe region in Inner Mongolia of China, and the relationships between different C fractions were also discussed. The results indicated that the concentrations of different C fractions at steppe and cultivated land all decreased progressively with soil depth. After the conversion from steppe to spring wheat field for 36 years, total organic carbon (TOC) concentration at the 0 to 100 cm soil depth has decreased by 12.3% to 28.2%, and TOC of the surface soil horizon, especially those of 0-30 cm decreased more significantly (p<0.01). The dissolved organic carbon (DOC) and microbial biomass carbon (MBC) at the depth of 0-40 cm were found to have decreased by 66.7% to 77.1% and 36.5% to 42.4%, respectively. In the S.baicalensis steppe, the ratios of soil DOC to TOC varied between 0.52% and 0.60%, and those in the spring wheat field were only in the range of 0.18%-0.20%. The microbial quotients (qMBs) in the spring wheat field, varying from 1.11% to 1.40%, were also lower than those in the S. baicalensis steppe, which were in the range of 1.50%-1.63%. The change of DOC was much more sensitive to cultivation disturbance. Soil TOC, DOC, and MBC were significantly positive correlated with each other in the S. baicalensis steppe, but in the spring wheat field, the correlativity between DOC and TOC and that between DOC and MBC did not reach the significance level of 0.05.  相似文献   
47.
钱拴  毛留喜  侯英雨  吴门新  王良宇 《气象》2008,34(11):62-68
近几十年来中国90%以上的草地出现退化现象,特别是内蒙古、宁夏、甘肃、新疆、青海、西藏等地区,草地退化严重,国家急需掌握气象条件对草地植被生长的影响,了解草地生产力、牲畜承载力以及生态质量状况.为此,在实时获取北方草地气温、降水量、日照时数等气象要素和气象卫星植被指数以及产草量观测资料的基础上,应用模糊数学、集合运算、统计分析等多种方法和"3S"手段,建立了北方草地植被生长气象条件优劣评价、产草量和载畜量预测、草地生态质量监测等模型.2005年以来,利用这些模型逐年评价了气象条件对草地植被生长的优劣影响、预测产草量和载畜量、监测草地生态质量优劣,获得了良好的服务效益.北方草地2007年生态气象监测预测结果表明:所建模型综合了多种资料和技术优势,结果符合实际;形成的综合监测预测技术可为国家保护和恢复草地生态环境提供科学依据.  相似文献   
48.
利用高分一号卫星数据建立小尺度CASA-NPP估算模型,反演及监测草原露天煤矿区草地NPP空间分布格局,以及煤矿区内部复垦植被的NPP与表层土壤之间的关系。利用归一化植被指数、归一化水体指数等获取CASA模型有效光辐射参数、水分胁迫系数等,从而简化并改进小尺度CASA模型,遥感反演数据与实测样点数据拟合度达到0.94。结果表明,该模型能够高精度地完成小区域NPP估测。从利用CASA模型反演得到的NPP空间格局可以看出,这一地区的植被退化以采矿、放牧等人类活动为主导,原地貌区域围栏的典型草甸草原NPP在300~400 gC/m2· yr 之间,高于放牧区域 NPP,矿区内 NPP 空间变化显著,矿区内部 NPP 低于100 gC/m2· yr,明显低于周边原地貌地区。对于矿区复垦排土场区域,复垦年限和表土的养分是决定植被生长和NPP的主要因素。研究得出国产高分卫星数据可以高精度地完成小尺度NPP的估测,从而为其在草原地区以及矿山环境中监测提供了研究基础。  相似文献   
49.
Mongolia is an important part of the Belt and Road Initiative “China-Mongolia-Russia Economic Corridor” and a region that has been severely affected by global climate change. Changes in grassland production have had a profound impact on the sustainable development of the region. Our study explored an optimal model for estimating grassland production in Mongolia and discovered its temporal and spatial distributions. Three estimation models were established using a statistical analysis method based on EVI, MSAVI, NDVI, and PsnNet from Moderate Resolution Imaging Spectroradiometer (MODIS) remote sensing data and measured data. A model evaluation and accuracy comparison showed that an exponential model based on MSAVI was the best simulation (model accuracy 78%). This was selected to estimate the grassland production in central and eastern Mongolia from 2006 to 2015. The results show that the grassland production in the study area had a significantly fluctuating trend for the decade study; a slight overall increasing trend was observed. For the first five years, the grassland production decreased slowly, whereas in the latter five years, significant fluctuations were observed. The grassland production (per unit yield) gradually increased from the southwest to northeast. In most provinces of the study area, the production was above 1000 kg ha -1, with the largest production in Hentiy, at 3944.35 kg ha -1. The grassland production (total yield) varied greatly among the provinces, with Kent showing the highest production, 2341.76×10 4 t. Results also indicate that the trend in grassland production along the China-Mongolia railway was generally consistent with that of the six provinces studied.  相似文献   
50.
Affected by climate change and policy factors, Kazakhstan is the country with the most severe ecological degradation and grassland conflicts in Central Asia. Therefore, studying the state of grassland carrying resources in Kazakhstan is particularly important for understanding the responses of grassland ecosystems to climate change and human activities. Based on Kazakhstan's remote sensing data and animal husbandry statistics, this study analyzes the patterns of changes in grassland ecosystems in Kazakhstan based on the supply and consumption of these ecosystems. The results show that: 1) From 2003 to 2017, the number of livestock raised in Kazakhstan showed a trend of sustained and steady growth. Due to freezing damage, the scale of livestock farming decreased in 2011, but a spatial difference in the livestock farming structure was not obvious. 2) The fluctuation of grassland supply in Kazakhstan has increased, while the consumption due to animal husbandry has also continued to increase, resulting in an increasing pressure on the grassland carrying capacity. 3) Between 2003 and 2017, the overall grassland carrying status of Kazakhstan have been abundant, but the grassland carrying pressure index has shown a steadily increasing trend, the grassland carrying pressure is growing, and it is mainly determined by grassland productivity. The greater pressure in lower Kyzylorda state, the southern Kazakhstan state of the cultivated land and the northern Kazakhstan state has gradually expanded to include the agro-pastoral zone and the semi-desert zone.  相似文献   
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