Inferring Amazon leaf demography from satellite observations of leaf area index

被引：36

作者：

Caldararu, S. ^{[1
]}

Palmer, P. I. ^{[1
]}

Purves, D. W. ^{[2
]}

机构：

[1] Univ Edinburgh, Sch Geosci, Edinburgh, Midlothian, Scotland

[2] Microsoft Res, Cambridge, England

来源：

BIOGEOSCIENCES | 2012年 / 9卷 / 04期

关键词：

FORESTS GREEN-UP; RAIN-FOREST; TROPICAL FOREST; INTERANNUAL VARIABILITY; SEASONAL PATTERNS; TREE; CLIMATE; PHENOLOGY; LIGHT; CO2;

D O I：

10.5194/bg-9-1389-2012

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

Seasonal and year-to-year variations in leaf cover imprint significant spatial and temporal variability on biogeochemical cycles, and affect land-surface properties related to climate. We develop a demographic model of leaf phenology based on the hypothesis that trees seek an optimal leaf area index (LAI) as a function of available light and soil water, and fit it to spaceborne observations of LAI over the Amazon basin, 2001-2005. We find the model reproduces the spatial and temporal LAI distribution whilst also predicting geographic variation in leaf age from the basin centre (2.1 +/- 0.2 years), through to the lowest values over the deciduous eastern and southern Amazon (6 +/- 2 months). The model explains the observed increase in LAI during the dry season as a net addition of leaves in response to increased solar radiation. We anticipate our work to be a starting point from which to develop better descriptions of leaf phenology to incorporate into more sophisticated earth system models.

引用

页码：1389 / 1404

页数：16

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