Sensitivity of land use change emission estimates to historical land use and land cover mapping. Issue 4 (11th April 2017)

• Record Type: Journal Article
• Authors: Peng, Shushi; Ciais, Philippe; Maignan, Fabienne; Li, Wei; Chang, Jinfeng; Wang, Tao; Yue, Chao
• Is Part Of: Global biogeochemical cycles. Volume 31:Issue 4(2017:Apr.)
• Page Start: 626
• Page End: 643
• Publication Date: 2017-04-11
• Subjects: Carbon cycling -- land use and land cover change -- land use emissions -- terrestrial biosphere modeling; Biogeochemical cycles -- Periodicals; Electronic journals; 577.1405
• DOI: 10.1002/2015GB005360
• Languages: English
• ISSNs: 0886-6236

Abstract

Abstract: The carbon emissions from land use and land cover change ( E LUC ) are an important anthropogenic component of the global carbon budget. Yet these emissions have a large uncertainty. Uncertainty in historical land use and land cover change (LULCC) maps and their implementation in global vegetation models is one of the key sources of the spread of E LUC calculated by global vegetation models. In this study, we used the Organizing Carbon and Hydrology in Dynamic Ecosystems terrestrial biosphere model to investigate how the different transition rules to define the priority of conversion from natural vegetation to agricultural land affect the historical reconstruction of plant functional types (PFTs) and E LUC . First, we reconstructed 10 sets of historical PFT maps using different transition rules and two methods. Then, we calculated E LUC from these 10 different historical PFT maps and an additional published PFT reconstruction, using the difference between two sets of simulations (with and without LULCC). The total area of forest loss is highly correlated with the total simulated E LUC ( R 2 = 0.83, P < 0.001) across the reconstructed PFT maps, which indicates that the choice of transition rules is a critical (and often overlooked) decision affecting the simulated E LUC . In addition to the choice of a transition rule, the initial land cover map and the reconstruction method for the reconstruction of historical PFT maps have an important impact on the resultant estimates of E LUC . Key Points: Five transition rules with two reconstruction methods are used to reconstruct LULCC maps The total area of forest loss is highly correlated with the total simulated ELUC (R 2 =0.83, P<0.001) across the reconstructed PFT maps Available forest area censuses can be used as a constraint to reconstruct historical LULCC maps