Amazon forests maintain consistent canopy structure and greenness during the dry season

被引：339

作者：

Morton, Douglas C. ^{[1
]}

Nagol, Jyoteshwar ^{[2
,3
]}

Carabajal, Claudia C. ^{[1
,4
]}

Rosette, Jacqueline ^{[1
,2
,5
]}

Palace, Michael ^{[6
]}

Cook, Bruce D. ^{[1
]}

Vermote, Eric F. ^{[1
]}

Harding, David J. ^{[1
]}

North, Peter R. J. ^{[5
]}

机构：

[1] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA

[2] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA

[3] Global Land Cover Facil, College Pk, MD 20740 USA

[4] Sigma Space Corp, Lanham, MD 20706 USA

[5] Swansea Univ, Dept Geog, Swansea SA2 8PP, W Glam, Wales

[6] Univ New Hampshire, Earth Syst Res Ctr, Durham, NH 03824 USA

来源：

NATURE | 2014年 / 506卷 / 7487期

关键词：

TROPICAL FOREST; LEAF-AREA; CARBON; ALLOMETRY; FLUXES; MODIS; CO2; VARIABILITY; EMISSIONS; DROUGHT;

D O I：

10.1038/nature13006

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The seasonality of sunlight and rainfall regulates net primary production in tropical forests(1). Previous studies have suggested that light is more limiting than water for tropical forest productivity(2), consistent with greening of Amazon forests during the dry season in satellite data(3-7). We evaluated four potential mechanisms for the seasonal green-up phenomenon, including increases in leaf area(5-7) or leaf reflectance(3,4,6), using a sophisticated radiative transfer model(8) and independent satellite observations from lidar and optical sensors. Here we show that the apparent green up of Amazon forests in optical remote sensing data resulted from seasonal changes in near-infrared reflectance, an artefact of variations in sun-sensor geometry. Correcting this bidirectional reflectance effect eliminated seasonal changes in surface reflectance, consistent with independent lidar observations and model simulations with unchanging canopy properties. The stability of Amazon forest structure and reflectance over seasonal timescales challenges the paradigm of light-limited net primary production in Amazon forests and enhanced forest growth during drought conditions. Correcting optical remote sensing data for artefacts of sun-sensor geometry is essential to isolate the response of global vegetation to seasonal and interannual climate variability.

引用

页码：221 / +

页数：16

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