太阳辐射引发中非常绿阔叶林的双峰叶片物候期

IF 4.4 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Liyang Liu, Philippe Ciais, Fabienne Maignan, Yuan Zhang, Nicolas Viovy, Marc Peaucelle, Elizabeth Kearsley, Koen Hufkens, Marijn Bauters, Colin A. Chapman, Zheng Fu, Shangrong Lin, Haibo Lu, Jiashun Ren, Xueqin Yang, Xianjin He, Xiuzhi Chen
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引用次数: 0

摘要

赤道附近的中非常绿阔叶林在树冠物候学和碳吸收季节性方面表现出双重年周期。人们对这一现象的内在驱动因素知之甚少,而地表模型(LSM)也无法捕捉到这种双季节性。在这项研究中,我们在 ORCHIDEE LSM(以下简称 ORCHIDEE-AFP)中开发了一个新的叶片物候模块,利用短波入射辐射(SWd)作为叶片脱落和冠层部分恢复活力的主要驱动因素,来模拟非洲中部森林的双季性。ORCHIDEE-AFP 模型利用两个森林地点的实地数据和卫星观测到的增强植被指数(EVI)(EVI 是叶龄小于 6 个月的嫩叶面积指数(LAIYoung)的代用指标),以及六种 GPP 或 GPP 代用指标产品进行了评估。结果表明,ORCHIDEE-AFP 成功地再现了观测到的叶片更替率(R = 0.45)和幼叶丰度(R = 0.74),并大大提高了对双峰叶片物候的代表性。建模的 LAIYoung 与观测到的 EVI 季节性显著正相关的网格单元比例从标准模式的 0.2%增加到新模式的 27%。在光合作用方面,在六个 GPP 评估产品中,建模季节性与观测季节性呈显著正相关的网格单元比例从 26% 到 65% 不等。ORCHIDEE-AFP 模型在模拟非洲中部森林的叶片物候和光合作用方面性能的提高将有助于更准确地评估气候变化对热带森林的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Solar Radiation Triggers the Bimodal Leaf Phenology of Central African Evergreen Broadleaved Forests

Solar Radiation Triggers the Bimodal Leaf Phenology of Central African Evergreen Broadleaved Forests

Central African evergreen broadleaved forests around the equator exhibit a double annual cycle for canopy phenology and carbon uptake seasonality. The underlying drivers of this behavior are poorly understood and the double seasonality is not captured by land surface models (LSM). In this study, we developed a new leaf phenology module into the ORCHIDEE LSM (hereafter ORCHIDEE-AFP), which utilizes short-wave incoming radiation (SWd) as the main driver of leaf shedding and partial rejuvenation of the canopy, to simulate the double seasonality of central African forests. The ORCHIDEE-AFP model has been evaluated by using field data from two forest sites and satellite observations of the enhanced vegetation index (EVI), which is a proxy of young leaf area index (LAIYoung) with leafage less than 6 months, as well as six products of GPP or GPP proxies. Results demonstrate that ORCHIDEE-AFP successfully reproduces observed leaf turnover (R = 0.45) and young leaf abundance (R = 0.74), and greatly improve the representation of the bimodal leaf phenology. The proportion of grid cells with a significant positive correlation between the seasonality of modeled LAIYoung and observed EVI increased from 0.2% in the standard model to 27% in the new model. For photosynthesis, the proportions of grid cells with significant positive correlations between modeled and observed seasonality range from 26% to 65% across the six GPP evaluation products. The improved performance of the ORCHIDEE-AFP model in simulating leaf phenology and photosynthesis of central African forests will allow a more accurate assessment of the impacts of climate change in tropical forests.

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来源期刊
Journal of Advances in Modeling Earth Systems
Journal of Advances in Modeling Earth Systems METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
11.40
自引率
11.80%
发文量
241
审稿时长
>12 weeks
期刊介绍: The Journal of Advances in Modeling Earth Systems (JAMES) is committed to advancing the science of Earth systems modeling by offering high-quality scientific research through online availability and open access licensing. JAMES invites authors and readers from the international Earth systems modeling community. Open access. Articles are available free of charge for everyone with Internet access to view and download. Formal peer review. Supplemental material, such as code samples, images, and visualizations, is published at no additional charge. No additional charge for color figures. Modest page charges to cover production costs. Articles published in high-quality full text PDF, HTML, and XML. Internal and external reference linking, DOI registration, and forward linking via CrossRef.
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