DOI: 10.1016/j.jag.2016.09.002
Scopus记录号: 2-s2.0-85018227918
论文题名: Estimating temporal changes in soil carbon stocks at ecoregional scale in Madagascar using remote-sensing
作者: Grinand C ; , Maire G ; L ; , Vieilledent G ; , Razakamanarivo H ; , Razafimbelo T ; , Bernoux M
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2017
卷: 54 起始页码: 1
结束页码: 14
语种: 英语
英文关键词: Change detection
; Deforestation
; PLSR
; Random forest
; Soil organic carbon
; Soil-landscape factors
; Spectroscopy
Scopus关键词: deforestation
; ecoregion
; environmental factor
; landscape change
; least squares method
; organic carbon
; regression analysis
; remote sensing
; soil organic matter
; spatial distribution
; spectroscopy
; temporal variation
; Madagascar
英文摘要: Soil organic carbon (SOC) plays an important role in climate change regulation notably through release of CO2 following land use change such a deforestation, but data on stock change levels are lacking. This study aims to empirically assess SOC stocks change between 1991 and 2011 at the landscape scale using easy-to-access spatially-explicit environmental factors. The study area was located in southeast Madagascar, in a region that exhibits very high rate of deforestation and which is characterized by both humid and dry climates. We estimated SOC stock on 0.1 ha plots for 95 different locations in a 43,000 ha reference area covering both dry and humid conditions and representing different land cover including natural forest, cropland, pasture and fallows. We used the Random Forest algorithm to find out the environmental factors explaining the spatial distribution of SOC. We then predicted SOC stocks for two soil layers at 30 cm and 100 cm over a wider area of 395,000 ha. By changing the soil and vegetation indices derived from remote sensing images we were able to produce SOC maps for 1991 and 2011. Those estimates and their related uncertainties where combined in a post-processing step to map estimates of significant SOC variations and we finally compared the SOC change map with published deforestation maps. Results show that the geologic variables, precipitation, temperature, and soil-vegetation status were strong predictors of SOC distribution at regional scale. We estimated an average net loss of 10.7% and 5.2% for the 30 cm and the 100 cm layers respectively for deforested areas in the humid area. Our results also suggest that these losses occur within the first five years following deforestation. No significant variations were observed for the dry region. This study provides new solutions and knowledge for a better integration of soil threats and opportunities in land management policies. © 2016 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79948
Appears in Collections: 气候变化事实与影响
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作者单位: IRD, UMR-Eco&Sols, 2 Place Viala, Montpellier, France; Etc Terra, 127 rue d'Avron, Paris, France; CIRAD, UMR ECO&SOLS, Montpellier, France; CIRAD, UPR BSEF, Montpellier, France; Laboratoire des Radio-Isotopes, Route d'Andraisoro, 101, Antananarivo, Madagascar
Recommended Citation:
Grinand C,, Maire G,L,et al. Estimating temporal changes in soil carbon stocks at ecoregional scale in Madagascar using remote-sensing[J]. International Journal of Applied Earth Observation and Geoinformation,2017-01-01,54