Towards species-level forecasts of drought-induced tree mortality risk.
Towards species-level forecasts of drought-induced tree mortality risk.
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干旱引起的树木死亡风险的物种水平预测。
DOI：
10.1111/nph.18129
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发表时间：
2022-07
期刊：
影响因子：
9.4
通讯作者：
Choat, Brendan
中科院分区：
文献类型：
--
作者：
De Kauwe, Martin G.;Sabot, Manon E. B.;Medlyn, Belinda E.;Pitman, Andrew J.;Meir, Patrick;Cernusak, Lucas A.;Gallagher, Rachael, V;Ukkola, Anna M.;Rifai, Sami W.;Choat, Brendan
在景观尺度上预测物种对干旱的响应对于减少未来陆地碳和水循环预测的不确定性至关重要。我们在社区大气生物圈土地交换（CABLE）陆面模型中嵌入了一个气孔优化模型，并对澳大利亚东南部15种冠层优势桉树树种的模型进行了参数化（平均年降水量范围：344-1424 mm yr−1）。我们进行了三个实验：将CABLE应用于2017-2019年的干旱; 20%的干旱;以及20%的干旱，大气二氧化碳（CO2）增加一倍。干旱的严重性被强调为至少25%的分布范围，60%的物种经历了叶水势超过水势，在50%的水力传导性损失，由于栓塞。我们确定了物种范围内严重水力应力的区域，但我们也确定了主要在半干旱地区发现的物种的恢复力。CO2在缓解干旱胁迫中的作用的重要性是一致的跨物种。我们的研究结果代表了我们预测单个树种恢复力的能力的重要进步，为恢复种植或净零排放战略的恢复力决策提供了证据基础。
Predicting species‐level responses to drought at the landscape scale is critical to reducing uncertainty in future terrestrial carbon and water cycle projections. We embedded a stomatal optimisation model in the Community Atmosphere Biosphere Land Exchange (CABLE) land surface model and parameterised the model for 15 canopy dominant eucalypt tree species across South‐Eastern Australia (mean annual precipitation range: 344–1424 mm yr−1). We conducted three experiments: applying CABLE to the 2017–2019 drought; a 20% drier drought; and a 20% drier drought with a doubling of atmospheric carbon dioxide (CO2). The severity of the drought was highlighted as for at least 25% of their distribution ranges, 60% of species experienced leaf water potentials beyond the water potential at which 50% of hydraulic conductivity is lost due to embolism. We identified areas of severe hydraulic stress within‐species’ ranges, but we also pinpointed resilience in species found in predominantly semiarid areas. The importance of the role of CO2 in ameliorating drought stress was consistent across species. Our results represent an important advance in our capacity to forecast the resilience of individual tree species, providing an evidence base for decision‐making around the resilience of restoration plantings or net‐zero emission strategies.
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影响因子：
18.3
作者：
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通讯作者：
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影响因子：
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Gallagher, Rachael, V
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作者：
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通讯作者：
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