No slowdown of growing season extension with warming in a permafrost-affected meadow on the Tibetan Plateau

The Tibetan Plateau holds the world’s largest alpine permafrost and is undergoing  an acceleration of warming. Phenological shifts over alpine permafrost in a warmer world have been little studied and are greatly underrepresented in current syntheses. Here, we conducted seasonal and gradient temperature-controlled experiments in a permafrost-affected meadow to evaluate how warming drives shifts in spring and autumn phenology, and associated growing-season length at both community and species levels. Our results showed that there is no sign of slowdown in spring advance with warming under a higher year-around warming treatment, aligning with a future medium warming scenario. This finding can be attributed to the possibility that winter warming is insufficient to reduce chilling accumulation, which would not delay spring phenology and then lead to a non-slowdown in spring phenological advancement. Although spring advance led to an advance in autumn senescence according to spring-only warm..., Experimental design The manipulative warming experimental platform in typical permafrost-affected region was established in April 2018. Hexagonal open-top warming chambers (OTCs), which were used extensively in the International Tundra Experiment (Wahren et al., 2013), were adopted to simulate the effect of warming on ecosystems. For the low warming gradient, the OTCs are 1.3 m in diameter at the base, 1.1 m in diameter at the top, and 0.4 m high. For the high warming gradient, the OTCs are 1.3 m in diameter at the base, 0.8 m in diameter at the top, and 0.8 m high  (Figure S2). All chambers use the same light panels with 8mm thick and the light transmittance rate > 95%. There were three warming treatments in our experiment: spring warming (from 10th February to 10th May), winter warming (from 10th November to 10th February) and year-round warming (throughout the whole year), each warming treatment set two warming gradient (40cm and 80cm height OTC, respectively) and four replicates...., , # Data from: No slowdown of growing season extension with warming in a permafrost-affected meadow on the Tibetan Plateau ## Description of the data and file structure This ReadMe file accompanies the data for the article accepted by the Journal of Ecology. The data file is named (JEcol_Supplement_Data.xlsx). The data file contains three sheets: 'Climate data','Community Phenology' and 'Species Phenology'. Abbreviations with simple description as follow, and a full description of these data can be found in sheet \"ReadMe\". **Worksheet：Climate data** This sheet contains environment conditons across the study years (more details see method): season: seasonal mean temperature in a specific season under each treatment, seasons were defined as belows: winter (from 10th November to 10th February); spring (from 10th February to 10th May); summer (from 10th May to 10th August); autumn (from 10 th August to Novermber). treatment: there are seven warming treatments in our experiment (more ...青藏高原（Tibetan Plateau）拥有全球规模最大的高山多年冻土（alpine permafrost）区，当前正经历着增温速率加快的过程。气候变暖背景下，高山多年冻土区的物候变化（phenological shifts）研究鲜有开展，且在当前的综合研究综述中占比极低。本研究在一处受多年冻土影响的草甸中开展了季节性与梯度式控温实验，旨在评估增温如何驱动春季与秋季物候的变化，以及群落和物种水平上相关的生长季长度（growing-season length）变化。研究结果显示，在全年高强度增温处理下，春季物候提前的速率并未出现减缓趋势，这与未来中等程度增温情景的预测结果一致。该现象可归因于冬季增温不足以减少冷激积累，因此无法延迟春季物候，进而导致春季物候提前的速率并未放缓。尽管仅春季增温条件下，春季物候提前会导致秋季衰老提前，但…… ## 实验设计 本研究于2018年4月在典型多年冻土影响区域建立了控制性增温实验平台。本研究采用了国际冻原实验（International Tundra Experiment）广泛使用的六边形开顶式增温箱（Open-Top Chambers, OTCs），以模拟增温对陆地生态系统的影响。其中，低增温梯度的OTC基部直径为1.3 m，顶部直径1.1 m，高度0.4 m；高增温梯度的OTC基部直径1.3 m，顶部直径0.8 m，高度0.8 m（见图S2）。所有增温箱均采用厚度为8 mm的透光面板，透光率＞95%。 本实验共设置三种增温处理：春季增温（2月10日至5月10日）、冬季增温（11月10日至次年2月10日）以及全年增温（全年不间断），每种增温处理分别设置两个增温梯度（对应40 cm和80 cm高度的OTC），并设置四个重复…… --- # 数据来源：青藏高原多年冻土草甸增温下生长季延长未出现减缓现象 ## 数据与文件结构说明 本说明文件伴随发表于《Journal of Ecology》的论文配套数据一同发布。 数据文件名为JEcol_Supplement_Data.xlsx，包含三个工作表："Climate data"（气候数据）、"Community Phenology"（群落物候）与"Species Phenology"（物种物候）。 以下为缩写及简要说明，完整的数据说明可参见"ReadMe"工作表。 **工作表：Climate data（气候数据）** 该工作表包含研究周期内各年份的环境监测数据（详细信息参见研究方法部分）： - season（季节）：各处理下特定季节的平均气温，季节定义如下： 冬季（11月10日至次年2月10日）；春季（2月10日至5月10日）；夏季（5月10日至8月10日）；秋季（8月10日至11月10日）。 - treatment（处理）：本实验共设置七种增温处理（详细信息参见……）