Trade-off between spring phenological sensitivities to temperature and precipitation across species and space in alpine grasslands over the Qinghai-Tibetan Plateau

被引:0
|
作者
Li, Xiaoting [1 ,2 ,3 ]
Guo, Wei [2 ]
He, Hao [2 ,4 ]
Wang, Hao [5 ]
Classen, Aimee [7 ]
Wu, Donghai [8 ]
Ma, Yixin [3 ]
Wang, Yunqiang [2 ]
He, Jin-Sheng [5 ,6 ,9 ]
Xu, Xiangtao [3 ]
机构
[1] Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
[2] Xi An Jiao Tong Univ, Dept Earth & Environm Sci, Xian 710049, Peoples R China
[3] Cornell Univ, Dept Ecol & Evolutionary Biol, Ithaca, NY 14850 USA
[4] Northwest Inst Nucl Technol, Xian 710024, Peoples R China
[5] Lanzhou Univ, State Key Lab Seed Innovat & Grassland Agroecosyst, Lanzhou 730000, Peoples R China
[6] Lanzhou Univ, Coll Ecol, Lanzhou 730000, Peoples R China
[7] Univ Michigan, Dept Ecol & Evolutionary Biol, Ann Arbor, MI 48109 USA
[8] Chinese Acad Sci, Key Lab Vegetat Restorat & Management Degraded Eco, South China Bot Garden, Guangzhou 510650, Peoples R China
[9] Peking Univ, Inst Ecol, Coll Urban & Environm Sci, Beijing 100871, Peoples R China
基金
中国国家自然科学基金;
关键词
alpine grassland; ecological trade-off; phenological sensitivity; phenology models; Qinghai-Tibetan Plateau; spring phenology; VEGETATION GREEN-UP; LEAST-SQUARES REGRESSION; CLIMATE-CHANGE; LANDSCAPE PHENOLOGY; PLANT PHENOLOGY; RESPONSES; DATES; PHOTOPERIOD; SNOWMELT; IMPACTS;
D O I
10.1111/nph.70008
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Elucidating climatic drivers of spring phenology in alpine grasslands is critical. However, current statistical estimates of spring phenological sensitivities to temperature and precipitation (beta T and beta P) might be biased and their variability across sites and species are not fully explained. We benchmarked species-level beta T and beta P statistically inferred from historical records with observations from a field manipulative experiment. We then analyzed landscape scale beta T and beta P estimated from the best statistical approach in the benchmark analysis across 57 alpine grassland sites in the Qinghai-Tibetan Plateau. Compared with manipulative experiment results, process-agnostic regression-based approaches underestimate beta T by 2.36-3.87 d degrees C-1 (54-88%) while process-based phenology model fitting predicts comparable beta T and beta P. Process-based estimates of beta T and beta P are negatively correlated across species (R = -0.94, P < 0.01) and across sites (R = -0.45, P < 0.01). beta T is positively correlated with mean annual temperature, and beta P is negatively correlated with elevation at the regional scale. Using process-based model fitting can better estimate spring phenological sensitivities to climate. The trade-off between beta T and beta P contributes to species-level and site-level variabilities in phenological sensitivities in alpine grasslands, which needs to be incorporated in predicting future phenological changes.
引用
收藏
页码:554 / 566
页数:13
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