From small-scale forest structure to Amazon-wide carbon estimates

被引：38

作者：

Roedig, Edna ^{[1
,2
]}

Knapp, Nikolai ^{[1
]}

Fischer, Rico ^{[1
]}

Bohn, Friedrich J. ^{[1
]}

Dubayah, Ralph ^{[3
]}

Tang, Hao ^{[3
]}

Huth, Andreas ^{[1
,4
,5
]}

机构：

[1] UFZ Helmholtz Ctr Environm Res, Dept Ecol Modelling, Permoserstr 15, D-04318 Leipzig, Germany

[2] UFZ Helmholtz Ctr Environm Res, Dept Computat Hydrosyst, Permoserstr 15, D-04318 Leipzig, Germany

[3] Univ Maryland, Dept Geog Sci, 2120 Lefrak Hall, College Pk, MD 20742 USA

[4] Univ Osnabruck, Barbarastr 12, D-49076 Osnabruck, Germany

[5] German Ctr Integrat Biodivers Res iDiv, Deutsch Pl 5e, D-04103 Leipzig, Germany

来源：

NATURE COMMUNICATIONS | 2019年 / 10卷 / 1期

关键词：

LAND-COVER CLASSIFICATION; NET PRIMARY PRODUCTION; BIOMASS ESTIMATION; WOOD DENSITY; LIDAR; VEGETATION; HEIGHT; MAP; ECOSYSTEM; DYNAMICS;

D O I：

10.1038/s41467-019-13063-y

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：

Tropical forests play an important role in the global carbon cycle. High-resolution remote sensing techniques, e.g., spaceborne lidar, can measure complex tropical forest structures, but it remains a challenge how to interpret such information for the assessment of forest biomass and productivity. Here, we develop an approach to estimate basal area, aboveground biomass and productivity within Amazonia by matching 770,000 GLAS lidar (ICESat) profiles with forest simulations considering spatial heterogeneous environmental and ecological conditions. This allows for deriving frequency distributions of key forest attributes for the entire Amazon. This detailed interpretation of remote sensing data improves estimates of forest attributes by 20-43% as compared to (conventional) estimates using mean canopy height. The inclusion of forest modeling has a high potential to close a missing link between remote sensing measurements and the 3D structure of forests, and may thereby improve continent-wide estimates of biomass and productivity.

引用

页数：7

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