Selective logging changes forest phenology in the Brazilian Amazon: Evidence from MODIS image time series analysis

被引：49

作者：

Koltunov, Alexander ^{[1
]}

Ustin, Susan L. ^{[1
]}

Asner, Gregory P. ^{[2
]}

Fung, Inez ^{[3
]}

机构：

[1] Univ Calif Davis, Ctr Spatial Technol & Remote Sensing, Davis, CA 95616 USA

[2] Carnegie Inst, Dept Global Ecol, Stanford, CA 94305 USA

[3] Univ Calif Berkeley, Dept Earth & Planetary Sci, Berkeley, CA 94720 USA

来源：

REMOTE SENSING OF ENVIRONMENT | 2009年 / 113卷 / 11期

关键词：

Brazil; Selective harvesting; Remote sensing; Tropical forest disturbance; MODIS; LOGGED FORESTS; CANOPY DAMAGE; RAIN-FOREST; DEGRADATION; VEGETATION; INDEXES; WATER;

D O I：

10.1016/j.rse.2009.07.005

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

We present a large-scale study of the relationships between selective logging and forest phenology in the Brazilian Amazon. Time-series analysis of MODIS satellite data of selectively logged forests in Mato Grosso, Brazil, shows that relatively low levels (5-10%) of canopy damage cause significant and long-lasting (more than 3 years) changes in forest phenology. Partial clearing slows forest green-up in the dry season, progressively dries the canopy, and induces overall seasonal deficits in canopy moisture and greenness. Given large and increasing geographic extent of selective logging throughout Amazonia, this phenological disturbance has a potential to impact carbon and water fluxes, nutrient dynamics, and other functional processes in these forests. (C) 2009 Elsevier Inc. All rights reserved.

引用

页码：2431 / 2440

页数：10

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