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叶面积季节到十年动态的一般模型

Boya Zhou¹, Wenjia Cai¹, Ziqi Zhu²

¹Georgina Mace Centre for the Living Planet, Department of Life Sciences, Imperial College London, Ascot, UK.

Global change biology

|March 21, 2025

概括

一个新的模型模拟了叶子表态 (季节性叶子面积指数动态) 通过将总初级产量 (GPP) 与LAI联系起来. 这种方法准确地捕捉了全球的LAI,并优于现有的植被模型.

科学领域:

生态生态学生态生态学
地球系统科学地球系统科学
生物地质化学生物地质化学

背景情况:

叶子现象学或季节性叶子面积指数 (LAI) 动态,极大地影响了土地和大气之间的二氧化碳,能源和水的交换.
对于动态全球植被模型 (DGVM) 和气候模型来说,精确模拟叶子表态至关重要,但在建模方法上还没有达成共识.

研究的目的:

开发一个全球预测LAI模型,该模型基于稳定状态总初级生产 (GPP) 与LAI之间的新理论关系.
改善植被和气候模型中叶面积动态的表示.

主要方法:

开发了一个全球预测LAI模型,将理论GPP-LAI关系与地面GPP的参数稀疏P模型集成在一起.
预测的季节性最大LAI作为能源有限和水限速率的最小值,使用指数移动平均时间滞后.
与卫星衍生的LAI在现场和全球范围内在整个生物群中进行验证.

主要成果:

该模型成功地捕捉了来自卫星的LAI动态在多种生物群中.
新的LAI模型在TRENDY项目中与15个DGVM相比显示出更高的性能.
该模型的GPP预测显示了与全球流量塔数据的良好一致.

结论:

开发的LAI模型提供了对叶面积动态的强大而准确的表示.
这种方法为增强植被和气候模型模拟提供了基础.
这些发现凸显了GPP-LAI关系对生态系统建模的重要性.

关键词:

生态进化的最佳性理论.总初级生产总量是主要产品的总量.陆地与大气的交换.土地表面建模的模型.叶面积指数叶面积指数季节性叶子现象学季节性叶子现象学

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