4.8 Article

The timing of autumn senescence is affected by the timing of spring phenology: implications for predictive models

期刊

GLOBAL CHANGE BIOLOGY
卷 21, 期 7, 页码 2634-2641

出版社

WILEY
DOI: 10.1111/gcb.12890

关键词

budburst; climate change; leaf senescence; senescence model; spring flushing; tree phenology

资金

  1. Macquarie University Research Fellowship fund
  2. National Science Foundation's Macrosystems Biology [EF-1065029]
  3. LTER [DEB-1237491, DEB-1114804]
  4. Direct For Biological Sciences
  5. Division Of Environmental Biology [1114804] Funding Source: National Science Foundation
  6. Direct For Biological Sciences
  7. Division Of Environmental Biology [1237491] Funding Source: National Science Foundation
  8. Direct For Biological Sciences
  9. Emerging Frontiers [1065074] Funding Source: National Science Foundation
  10. Emerging Frontiers
  11. Direct For Biological Sciences [1065029] Funding Source: National Science Foundation

向作者/读者索取更多资源

Autumn senescence regulates multiple aspects of ecosystem function, along with associated feedbacks to the climate system. Despite its importance, current understanding of the drivers of senescence is limited, leading to a large spread in predictions of how the timing of senescence, and thus the length of the growing season, will change under future climate conditions. The most commonly held paradigm is that temperature and photoperiod are the primary controls, which suggests a future extension of the autumnal growing season as global temperatures rise. Here, using two decades of ground- and satellite-based observations of temperate deciduous forest phenology, we show that the timing of autumn senescence is correlated with the timing of spring budburst across the entire eastern United States. On a year-to-year basis, an earlier/later spring was associated with an earlier/later autumn senescence, both for individual species and at a regional scale. We use the observed relationship to develop a novel model of autumn phenology. In contrast to current phenology models, this model predicts that the potential response of autumn phenology to future climate change is strongly limited by the impact of climate change on spring phenology. Current models of autumn phenology therefore may overpredict future increases in the length of the growing season, with subsequent impacts for modeling future CO2 uptake and evapotranspiration.

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