泛第三极地区植被地上和地下生物量及土壤碳数据集（2015-2017）

采用实地调查的方法，收集了青藏高原藏北那曲、东部若尔盖高原、风火山2015-2017年植被地上地下生物量及土壤碳氮数据，并对数据进行整理和初步分析。数据集主要包括不同增温梯度、不同海拔梯度（亚高山草甸、高山草甸、高山灌丛草甸）、不同水分梯度（沼泽湿地、退化沼泽、沼泽草甸、湿草甸、干草甸、退化草甸）和不同沙化程度（轻度沙化、中度沙化、重度沙化、完全沙化）下的高寒地区植被地上和地下生物量以及土壤碳含量。综合分析了以上不同梯度下植被生物量和土壤碳氮含量的差异和变化趋势。该数据集为了解及合理利用草地资源提供理论依据，也为探讨全球气候变化背景下高寒草地生产力预测提供有力支持。

We conducted field surveys to collect vegetation aboveground and belowground biomass, as well as soil carbon and nitrogen data, from Nagqu (northern Tibet), Zoige Plateau (eastern part of the Qinghai-Tibet Plateau), and Fenghuoshan on the Qinghai-Tibet Plateau during 2015–2017. The collected data were then organized and preliminarily analyzed. The dataset mainly covers aboveground and belowground biomass of vegetation, as well as soil carbon content, in alpine regions under different warming gradients, elevation gradients (including subalpine meadow, alpine meadow, and alpine shrub-meadow), moisture gradients (including marsh wetland, degraded marsh, marsh meadow, wet meadow, dry meadow, and degraded meadow), and desertification degrees (including slight, moderate, severe, and complete desertification). We comprehensively analyzed the differences and changing trends of vegetation biomass and soil carbon and nitrogen contents under the aforementioned various gradients. This dataset provides a theoretical basis for understanding and rationally utilizing grassland resources, and also offers strong support for exploring the prediction of alpine grassland productivity under the context of global climate change.