Scaranello, Marcos A. S.
[2, 3, 1]
dos-Santos, Maiza N.
Morton, Douglas C.
Pinage, Ekena R.
Espirito-Santo, Fernando Del Bon
Número total de Autores: 8
Afiliação do(s) autor(es):
 EMBRAPA, Embrapa Informat Agr, BR-13083886 Campinas, SP - Brazil
 CALTECH, Jet Prop Lab, Pasadena, CA 91109 - USA
 US Forest Serv, USDA, Int Inst Trop Forestry, Rio Piedras, PR 00926 - USA
 NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 - USA
 Oregon State Univ, Coll Forestry, Corvallis, OR 97331 - USA
 Univ Technol Sydney, Sch Life Sci, Sydney, NSW 2007 - Australia
 Univ Sao Paulo, Fac Filosofia Ciencias & Letras Ribeirao Preto, BR-14040900 Ribeirao Preto - Brazil
Número total de Afiliações: 8
Tipo de documento:
SEP 13 2019.
Citações Web of Science:
Coarse dead wood is an important component of forest carbon stocks, but it is rarely measured in Amazon forests and is typically excluded from regional forest carbon budgets. Our study is based on line intercept sampling for fallen coarse dead wood conducted along 103 transects with a total length of 48 km matched with forest inventory plots where standing coarse dead wood was measured in the footprints of larger areas of airborne lidar acquisitions. We developed models to relate lidar metrics and Landsat time series variables to coarse dead wood stocks for intact, logged, burned, or logged and burned forests. Canopy characteristics such as gap area produced significant individual relations for logged forests. For total fallen plus standing coarse dead wood (hereafter defined as total coarse dead wood), the relative root mean square error for models with only lidar metrics ranged from 33% in logged forest to up to 36% in burned forests. The addition of historical information improved model performance slightly for intact forests (31% against 35% relative root mean square error), not justifying the use of a number of disturbance events from historical satellite images (Landsat) with airborne lidar data. Lidar-derived estimates of total coarse dead wood compared favorably with independent ground-based sampling for areas up to several hundred hectares. The relations found between total coarse dead wood and variables quantifying forest structure derived from airborne lidar highlight the opportunity to quantify this important but rarely measured component of forest carbon over large areas in tropical forests. (AU)