青藏高原理论产草量数据（2014-2020）

利用TEM（Terrestrial Ecosystem Model）模型模拟高寒草地的潜在生产力。TEM模型是气候驱动的生产力模型，所需的参数有：植被类型、土壤质地、土壤水分、潜在蒸散、太阳辐射、云量、降水、温度和大气CO2浓度。结合土壤水分模型WBM（Water Balance Model）计算出的水分潜在蒸散和实际蒸散参数，结合温度、辐射和 CO2 等参数，首先计算出草地的初级生产力（GPP），再计算植物自养呼吸（Ra），最后得出草地净初级生产力（NPPp）。

潜在生产力的验证：
采用青藏高原围栏内取样数据验证TEM模型计算的生产力精度。青藏高原大多数草地物种为一年生草本植物，生物量通常在7月底至8月初达到峰值。因此，可以将地上生物量看作是该样方的地上生产力。围栏内的草地生态系统没有野生动物和家畜的干扰，认为其是不受人类活动干扰的自然条件的纯气候因素驱的生产力，因此可以用来验证 TEM 模型模拟的NPPp的结果。验证结果显示，围栏内实际观测生产力与模型模拟的NPPp存在极显著的相关关系（R² = 0.75, p < 0.001），模型模拟效果良好。

产草量的估算：
产草量数据的时间分辨率为年，空间分辨率为1km×1km。利用TEM模型计算的生产力来反演青藏高原高寒草地产草量的时空动态。具体来讲，基于潜在生产力的栅格数据，建立与围栏内生物量观测之间的统计关系，再利用二者的统计关系进行空间插值，最后得到青藏高原高寒草地的产草量数据。
数据不确定性及版本说明：
该版数据是上一版数据的更新数据，但由于观测数据的局限性，产草量数据在不同地方可能仍然存在不确定性，课题组目前还在不断收集数据，改进模型模拟效果，后期会陆续完成数据版本的更新。

Simulating the potential productivity of alpine grasslands using the TEM (Terrestrial Ecosystem Model), a climate-driven productivity model. The required parameters for the TEM model include vegetation type, soil texture, soil moisture, potential evapotranspiration, solar radiation, cloud cover, precipitation, temperature, and atmospheric CO₂ concentration. Combined with the parameters of potential evapotranspiration and actual evapotranspiration calculated by the WBM (Water Balance Model), as well as parameters such as temperature, radiation and CO₂, the gross primary productivity (GPP) of grasslands was first calculated, followed by plant autotrophic respiration (Ra), and finally the net primary productivity (NPPp) of grasslands was obtained.

Validation of potential productivity: The accuracy of productivity calculated by the TEM model was validated using sampling data within fenced plots on the Qinghai-Tibet Plateau. Most grassland species on the Qinghai-Tibet Plateau are annual herbaceous plants, and their biomass usually peaks from late July to early August. Therefore, aboveground biomass can be regarded as the aboveground productivity of the quadrat. The grassland ecosystems within the fenced plots are free from disturbances from wild animals and livestock, and are considered to be natural conditions driven purely by climatic factors without human activity interference, so they can be used to validate the NPPp results simulated by the TEM model. The validation results showed that there was an extremely significant correlation between the actual observed productivity within the fenced plots and the simulated NPPp (R² = 0.75, p < 0.001), indicating good performance of the model simulation.

Estimation of grass yield: The temporal resolution of grass yield data is annual, and the spatial resolution is 1 km × 1 km. The TEM model-derived productivity was used to invert the spatiotemporal dynamics of grass yield in alpine grasslands on the Qinghai-Tibet Plateau. Specifically, a statistical relationship was established between the raster data of potential productivity and the observed biomass within the fenced plots, then spatial interpolation was conducted using this statistical relationship, and finally the grass yield data of alpine grasslands on the Qinghai-Tibet Plateau was obtained.

Data uncertainty and version description: This version of the data is an updated iteration of the previous release. However, due to limitations in the observed dataset, uncertainties may still exist in grass yield data across different regions. The research team is currently continuously collecting additional data and improving model simulation performance, and subsequent updates to the data version will be rolled out gradually.

搜集汇总

背景与挑战

背景概述

该数据集包含2014-2020年青藏高原高寒草地理论产草量数据，采用TEM模型模拟生成，空间分辨率1km，经实地验证模型精度良好。数据以年为单位存储为tif格式，主要用于研究草地净初级生产力和地上生物量的时空动态。