Evaporation and Transpiration From Multiple Proximal Forests and Wetlands
Evaporation and Transpiration From Multiple Proximal Forests and Wetlands
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多个邻近森林和湿地的蒸发和蒸腾
DOI：
10.1029/2022wr033757
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发表时间：
2024
影响因子：
5.4
通讯作者：
Desai, Ankur R.
中科院分区：
文献类型：
--
作者：
Shveytser, Victoria;Stoy, Paul C.;Butterworth, Brian;Wiesner, Susanne;Skaggs, Todd H.;Murphy, Bailey;Wutzler, Thomas;El‐Madany, Tarek S.;Desai, Ankur R.
气候变化正在加剧水文循环并改变生态系统功能，包括通过蒸散发（ET）向大气的水通量。蒸散发由非气孔表面的蒸发(E)和植物气孔的蒸腾(T)组成，它们以不同的方式受到全球变化的影响。E和T很难在生态系统尺度上独立测量，特别是在代表不同土地利用和土地管理策略的多个站点之间。为了解决这一理解上的差距，我们应用通量方差相似性（FVS）来量化13个不同生态系统之间的E和T差异，这些生态系统是在美国威斯康星州北部的CHEESEHEAD19实验的10 × 10 km区域内使用涡动相关方差测量的。研究地点包括8个落叶阔叶林、3个常绿针叶林和2个湿地。在研究期间，森林样地的平均T/ET接近52%，湿地的平均T/ET为45%，在排除降雨事件后可能因冠层拦截而蒸发的时期后，其值更大。优势度分析显示，环境变量平均解释了69%的半小时T方差，该方差从夏季到秋季逐渐减少。尽管植被物候不同，但落叶森林和常绿森林的E随时间的变化轨迹相似，湿地中蒸汽压赤字解释了约13%的E变化，而森林中只解释了5%或更少的E变化。在密集的通量塔网络中检索E和T，使我们相信FVS是一种很有前途的方法，可以比较多个地点的生态系统水文，从而提高我们对生态系统水通量的基于过程的理解。
Climate change is intensifying the hydrologic cycle and altering ecosystem function, including water flux to the atmosphere through evapotranspiration (ET). ET is made up of evaporation (E) via non‐stomatal surfaces, and transpiration (T) through plant stomata which are impacted by global changes in different ways. E and T are difficult to measure independently at the ecosystem scale, especially across multiple sites that represent different land use and land management strategies. To address this gap in understanding, we applied flux variance similarity (FVS) to quantify how E and T differ across 13 different ecosystems measured using eddy covariance in a 10 × 10 km area from the CHEESEHEAD19 experiment in northern Wisconsin, USA. The study sites included eight forests with a large deciduous broadleaf component, three evergreen needleleaf forests, and two wetlands. Average T/ET for the study period averaged nearly 52% in forested sites and 45% in wetlands, with larger values after excluding periods following rain events when evaporation from canopy interception may be expected. A dominance analysis revealed that environmental variables explained on average 69% of the variance of half‐hourly T, which decreased from summer to autumn. Deciduous and evergreen forests showed similar E trajectories over time despite differences in vegetation phenology, and vapor pressure deficit explained some 13% of the variance E in wetlands but only 5% or less in forests. Retrieval of E and T within a dense network of flux towers lends confidence that FVS is a promising approach for comparing ecosystem hydrology across multiple sites to improve our process‐based understanding of ecosystem water fluxes.
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水分利用效率参数化对基于通量方差相似性的蒸散发划分的影响
影响因子：
6.2
作者：
Wagle, Pradeep;Raghav, Pushpendra;Kumar, Mukesh;Gunter, Stacey A.
通讯作者：
Gunter, Stacey A.
影响因子：
2.8
作者：
Anderson, Ray G.;Zhang, Xudong;Skaggs, Todd H.
通讯作者：
Skaggs, Todd H.
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影响因子：
4.3
作者：
L. Palatella;G. Rana;D. Vitale
通讯作者：
D. Vitale
影响因子：
3.1
作者：
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通讯作者：
A. Desai;A. M. Khan;T. Zheng;S. Paleri;Brian J. Butterworth;Temple R. Lee;J. Fisher;G. Hulley;T. Kleynhans;A. Gerace;P. Townsend;P. Stoy;S. Metzger
将涡相关水和二氧化碳通量直接分配到地面和植物成分中
影响因子：
6.2
作者：
Zahn, Einara;Bou-Zeid, Elie;Good, Stephen P.;Katul, Gabriel G.;Thomas, Christoph K.;Ghannam, Khaled;Smith, James A.;Chamecki, Marcelo;Dias, Nelson L.;Fuentes, Jose D.
通讯作者：
Fuentes, Jose D.