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Negative relationship between photosynthesis and late‐stage canopy development and senescence over Tibetan Plateau

机译:青藏高原光合作用与冠层后期发育和衰老的负相关关系

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Abstract Canopy greening, which is associated with significant canopy structure changes, is the most notable signal of ecosystem changes in response to anthropogenic climate change. However, our knowledge of the changing pattern of canopy development and senescence, and its endogenous and climatic drivers is still limited. Here, we used the Normalized Difference Vegetation Index (NDVI) to quantify the changes in the speed of canopy development and senescence over the Tibetan Plateau (TP) during 2000–2018, and used a solar‐induced chlorophyll fluorescence dataset as a proxy for photosynthesis, in combination with climate datasets to decipher the endogenous and climatic drivers of the interannual variation in canopy changes. We found that the canopy development during the early green‐up stage (April–May) is accelerating at a rate of 0.45–0.8 × 10−3 month−1 year−1. However, this accelerating canopy development was largely offset by a decelerating canopy development during June and July (−0.61 to −0.51 × 10−3 month−1 year−1), leading to the peak NDVI over the TP increasing at a rate of only one fifth of that in northern temperate regions, and less than one tenth of that in the Arctic and boreal regions. During the green‐down period, we observed a significant accelerating canopy senescence during October. Photosynthesis was found to be the dominant driver for canopy changes over the TP. Increasing photosynthesis stimulates canopy development during the early green‐up stage. However, slower canopy development and accelerated senescence was found with larger photosynthesis in late growth stages. This negative relationship between photosynthesis and canopy development is probably linked to the source–sink balance of plants and shifts in the allocation regime. These results suggest a sink limitation for plant growth over the TP. The impact of canopy greening on the carbon cycle may be more complicated than the source‐oriented paradigm used in current ecosystem models.
机译:摘要 冠层绿化与显著的冠层结构变化有关,是生态系统响应人为气候变化变化的最显著信号。然而,我们对冠层发育和衰老模式的变化及其内生和气候驱动因素的了解仍然有限。本文采用归一化植被指数(NDVI)量化了2000—2018年青藏高原(TP)冠层发育和衰老速度的变化,并利用太阳诱导的叶绿素荧光数据集作为光合作用的代理,结合气候数据集破译了冠层年际变化的内生和气候驱动因素。结果表明,绿化初期(4—5月)冠层发育速度加快,×10—3月−1年—1。然而,6月和7月冠层发育的加速(-0.61至-0.51×10-3月-1年-1)在很大程度上抵消了冠层的加速发展,导致青藏高原上NDVI峰值的增长速度仅为北温带地区的五分之一,而北极和寒带地区的NDVI则不到十分之一。在绿化期间,我们观察到10月份冠层衰老明显加速。光合作用是青藏高原上冠层变化的主要驱动因素,光合作用的增加刺激了青绿化初期冠层的发育。然而,在生长后期,随着光合作用的增加,树冠发育较慢,衰老加速。光合作用与冠层发育之间的这种负相关关系可能与植物的源汇平衡和分配机制的转变有关。这些结果表明,在青藏高原上植物生长存在汇限制。冠层绿化对碳循环的影响可能比当前生态系统模型中使用的源导向范式更复杂。

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