气候变化领域集成服务门户(CCPortal): Revealing the spatial variation in biomass uptake rates of Brazil's secondary forests

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DOI	10.1016/j.isprsjprs.2023.12.013
	Revealing the spatial variation in biomass uptake rates of Brazil's secondary forests
	Chen, Na; Tsendbazar, Nandin-Erdene; Suarez, Daniela Requena; Silva-Junior, CelsoH. L.; Verbesselt, Jan; Herold, Martin
发表日期	2024
ISSN	0924-2716
EISSN	1872-8235
起始页码	208
卷号	208
英文摘要	Monitoring forest aboveground biomass (AGB) is essential for quantifying the carbon cycle and mitigating climate change. Tropical secondary forests are significant carbon sinks that sequester large amounts of carbon dioxide. While recent studies have attempted to estimate the AGB recovery rates in tropical forests, considerable uncertainty remains in the estimation of AGB recovery of secondary forests and the spatial variability of the effects that different environmental conditions and degrees of human use may have on AGB recovery. These knowledge gaps hinder further understanding of climate change mitigation potential of secondary forests. Remote sensing products provide spatially and temporally explicit information for understanding and monitoring secondary forest dynamics. To explore the local effects of different factors on AGB of secondary forests in Brazil, we used geographically weighted regression (GWR) models that account for spatial heterogeneity in geospatial data to estimate the AGB of secondary forests in Brazil. Secondary forest areas (29142 polygons) were extracted from Brazil's forest age maps between 1984 and 2019. The AGB of these areas was derived from the Climate Change Initiative Biomass maps. The effects of selected predictors such as forest age, climatic water deficit, the cation exchange capacity of soil and surrounding tree cover were analyzed. The two most influential factors, forest age and surrounding tree cover were utilized to estimate the AGB and the recovery rates per year. Our results show the high spatial variation of different predictors' effects on the AGB of secondary forests. Also, the GWR model (with an adjusted R2 of 0.74) showed considerable improvements regarding goodness of fit of models compared with the Ordinary Least Squares (with an adjusted R2 of 0.53). Our estimated average AGB recovery rate across all Brazil's biomes is 7.5 Mg ha -1 yr- 1 (using forest age) for the first 20 years. We presented the map of the spatial variation of AGB recovery rates in Brazil. The estimated AGB recovery rates range using forest age is 28.9 Mg ha -1 yr- 1. Our estimated mean AGB recovery rates of different biomes are 17.7 % on average higher than IPCC default rates. Our results provide baseline information for reducing uncertainties related to carbon sink estimation of secondary forests in Brazil, hence assisting in developing sustainable forest management and ecosystem restoration strategies.
英文关键词	AGB recovery; Forest age; GWR; Remote sensing; Secondary forests; Surrounding tree cover
语种	英语
WOS研究方向	Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:001173574100001
来源期刊	ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/288545
作者单位	Wageningen University & Research; University of Manchester; Universidade Federal do Maranhao
推荐引用方式 GB/T 7714	Chen, Na,Tsendbazar, Nandin-Erdene,Suarez, Daniela Requena,et al. Revealing the spatial variation in biomass uptake rates of Brazil's secondary forests[J],2024,208.
APA	Chen, Na,Tsendbazar, Nandin-Erdene,Suarez, Daniela Requena,Silva-Junior, CelsoH. L.,Verbesselt, Jan,&Herold, Martin.(2024).Revealing the spatial variation in biomass uptake rates of Brazil's secondary forests.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,208.
MLA	Chen, Na,et al."Revealing the spatial variation in biomass uptake rates of Brazil's secondary forests".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 208(2024).