量化漫射光合有效辐射对不同生态系统用水效率的影响

IF 5.6 1区 农林科学 Q1 AGRONOMY
Fenghao Chen , Xiaoya Yang , Qiang Yu , Bo Han
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引用次数: 0

摘要

与直接辐射相比,由于漫射受精效应(DFE),漫射辐射可以更有效地用于光合作用。由于碳吸收和水分流失通过叶片气孔耦合在一起,漫射受精效应可能会同时提高总初级生产力(GPP)和蒸散量(ET)。本研究利用中国九个生态系统(包括森林、草地、湿地和耕地)的多年涡度协方差通量观测数据和模拟的光合有效辐射漫射分量(PAR)来量化 DFE 对水分利用效率(WUE)的影响。结果表明,随着 PAR 的漫射部分(kd-PAR = 漫射 PAR/PAR)的增加,各生态系统的 GPP 先增加后减少。在九个生态系统中,产生最大 GPP 的 kd-PAR 值介于 0.34 和 0.76 之间。在大多数生态系统中,蒸散发随着 kd-PAR 的增加而减少,这主要是因为在大多数生态系统中,高 kd-PAR(表示低 PAR)可减少蒸发。WUE与kd-PAR之间存在显著的线性关系,森林、草地、湿地和耕地的平均斜率分别为1.64、0.96、1.19和4.51 g C kg-1 H2O。采用多元线性回归方法分析了漫射光照 PAR(PARdif)和直接 PAR(PARdir)对 GPP 和蒸散发的影响。PARdif 的转化效率高于 PARdir,对 GPP 和 ET 的相对差异分别为 178.35% 和 23.77%。森林和耕地的 GPP 和蒸散发的 DFE 强度大于草地和湿地。GPP 的 DFE 强度是 ET 的 3.05 至 236.96 倍。数学分析结果表明,PARdif 对 GPP 的促进作用大于对 ET 的促进作用,从而导致 WUE 随 kd-PAR 的增加而增加。这些结果将有助于提高全球气候变化条件下碳和水循环建模的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantifying the effects of diffuse photosynthetically active radiation on water use efficiency in different ecosystems

Compared with direct radiation, diffuse radiation could be more efficiently used for photosynthesis because of the diffuse fertilization effect (DFE). Because carbon uptake and water loss are coupled through leaf stomata, DFE probably increases gross primary productivity (GPP) and evapotranspiration (ET) simultaneously. Multi-year eddy covariance flux observation data and simulated diffuse fraction of photosynthetically active radiation (PAR) for nine ecosystems across China (containing forest, grassland, wetland, and cropland) were used to quantify the impact of DFE on water use efficiency (WUE). The results showed that GPP firstly increased and then decreased with increasing diffuse fraction of PAR (kd-PAR = diffuse PAR/PAR) for each ecosystems. The kd-PAR values at which maximum GPP occurred varied between 0.34 and 0.76 across nine ecosystems. ET decreased with increasing kd-PAR in most ecosystems mainly because high kd-PAR (indicating low PAR) could reduce evaporation in most ecosystems. The relationships between WUE and kd-PAR were significantly linear with averaged slopes of forest, grassland, wetland, and cropland of 1.64, 0.96, 1.19, and 4.51 g C kg−1 H2O, respectively. A multiple linear regression method was used to analyze the effect of diffuse PAR (PARdif) and direct PAR (PARdir) on GPP and ET. The conversion efficiencies for PARdif were greater than for PARdir, and the relative differences were 178.35% and 23.77% for GPP and ET, respectively. The intensity of DFE for GPP and ET were greater for forest and cropland than for grassland and wetland. The intensity of DFE was 3.05 to 236.96 times higher for GPP than for ET. The mathematical analysis results demonstrated that the promoting effect of PARdif was greater for GPP than for ET, thereby inducing an increase in WUE with increasing kd-PAR. These results will be helpful for improving modeling accuracy of carbon and water cycles under the conditions accompanying global climate change.

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来源期刊
CiteScore
10.30
自引率
9.70%
发文量
415
审稿时长
69 days
期刊介绍: Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published. Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.
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