青藏高原草地生态系统生产功能重要性(2000-2020)
收藏国家青藏高原科学数据中心2025-06-25 更新2025-06-21 收录
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https://data.tpdc.ac.cn/zh-hans/data/fed76c54-18ec-4bae-baf4-b7bf48544282
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本数据草地生产功能指数的构建,主要考虑草地牧草生产为家畜提供物质和能量基础,不同牧草生产力具有不同的家畜承载能力,同时,牧草生产力易受气候影响而发生较大年际波动,因此,选择草地现存承载潜力及其年际变异系数作为天然放牧草地的生产功能指标,通过归一化处理后分别得到牧草生产指数和牧草生产稳定性指数。其中,草地现存承载潜力的计算方法是:应用前期发展的GLOPEM-CEVSA模型,在卫星遥感数据和气象数据的共同驱动下得到现存净初级生产力,从而计算出现存产草量,并按照天然草地合理载畜量标准(NY/T635-2015)计算得到承载潜力。进一步通过投影寻踪算法计算指标权重,得到青藏高原草地生态系统的生产功能指数。数据分辨率为1km,经过2000-2020年结果进行平均得到。最后,采用等分位数分级法将生产功能重要性划分为三级并生成空间分布图。成果已形成生产功能重要性空间分布图,可用于生态保护红线划定、资源分区管理等,为青藏高原生态建设与可持续发展提供数据支撑。
The construction of the grassland production function index for this dataset mainly considers that grassland forage production provides material and energy foundations for livestock, different forage productivities correspond to varying livestock carrying capacities, and meanwhile, forage productivity is susceptible to climate impacts with large inter-annual fluctuations. Therefore, the existing grassland carrying potential and its inter-annual variation coefficient were selected as the production function indicators for natural grazing grasslands. After normalization processing, the forage production index and forage production stability index were obtained respectively.
Specifically, the calculation method for the existing grassland carrying potential is as follows: the previously developed GLOPEM-CEVSA model is applied, driven jointly by satellite remote sensing data and meteorological data, to obtain the existing net primary productivity, thereby calculating the existing forage yield, and the carrying potential is calculated according to the standard for reasonable livestock carrying capacity of natural grasslands (NY/T 635-2015). Furthermore, the indicator weights were calculated via the projection pursuit algorithm, and the production function index of the grassland ecosystem on the Qinghai-Tibet Plateau was obtained.
The dataset has a spatial resolution of 1 km, and was derived by averaging the results from 2000 to 2020. Finally, the equal quantile classification method was adopted to divide the importance of production functions into three levels and generate the spatial distribution map.
The achieved results have formed a spatial distribution map of production function importance, which can be used for ecological protection red line delimitation, resource zoning management and other applications, providing data support for ecological construction and sustainable development of the Qinghai-Tibet Plateau.
提供机构:
王军邦, 欧阳熙煌,明茹,赵新全
创建时间:
2025-05-27



