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| DOI | 10.1016/j.agrformet.2017.05.026 |
| Modeling forest above-ground biomass dynamics using multi-source data and incorporated models: A case study over the qilian mountains | |
| Tian X.; Yan M.; van der Tol C.; Li Z.; Su Z.; Chen E.; Li X.; Li L.; Wang X.; Pan X.; Gao L.; Han Z. | |
| 发表日期 | 2017 |
| ISSN | 01681924 |
| 卷号 | 246 |
| 英文摘要 | In this work, we present a strategy for obtaining forest above-ground biomass (AGB) dynamics at a fine spatial and temporal resolution. Our strategy rests on the assumption that combining estimates of both AGB and carbon fluxes results in a more accurate accounting for biomass than considering the terms separately, since the cumulative carbon flux should be consistent with AGB increments. Such a strategy was successfully applied to the Qilian Mountains, a cold arid region of northwest China. Based on Landsat Thematic Mapper 5 (TM) data and ASTER GDEM V2 products (GDEM), we first improved the efficiency of existing non-parametric methods for mapping regional forest AGB for 2009 by incorporating the Random Forest (RF) model with the k-Nearest Neighbor (k-NN). Validation using forest measurements from 159 plots and the leave-one-out (LOO) method indicated that the estimates were reasonable (R2 = 0.70 and RMSE = 24.52 tones ha−1). We then obtained one seasonal cycle (2011) of GPP (R2 = 0.88 and RMSE = 5.02 gC m−2 8d−1) using the MODIS MOD_17 GPP (MOD_17) model that was calibrated to Eddy Covariance (EC) flux tower data (2010). After that, we calibrated the ecological process model (Biome-BioGeochemical Cycles (Biome-BGC)) against above GPP estimates (for 2010) for 30 representative forest plots over an ecological gradient in order to simulate AGB changes over time. Biome-BGC outputs of GPP and net ecosystem exchange (NEE) were validated against EC data (R2 = 0.75 and RMSE = 1. 27 gC m−2 d−1 for GPP, and R2 = 0.61 and RMSE = 1.17 gC m−2 d−1 for NEE). The calibrated Biome-BGC was then applied to produce a longer time series for net primary productivity (NPP), which, after conversion into AGB increments according to site-calibrated coefficients, were compared to dendrochronological measurements (R2 = 0.73 and RMSE = 46.65 g m−2 year−1). By combining these increments with the AGB map of 2009, we were able to model forest AGB dynamics. In the final step, we conducted a Monte Carlo analysis of uncertainties for interannual forest AGB estimates based on errors in the above forest AGB map, NPP estimates, and the conversion of NPP to an AGB increment. © 2017 The Author(s) |
| 英文关键词 | Biome-BGC model; Forest above-ground biomass dynamics; MODIS MOD_17 GPP model; Monte carlo analysis; Remote sensing |
| URL | https://www2.scopus.com/inward/record.uri?eid=2-s2.0-85020411990&doi=10.1016%2fj.agrformet.2017.05.026&partnerID=40&md5=785051a163ee6a9dbffb01168b4bd5e7 |
| 语种 | 英语 |
| scopus关键词 | aboveground biomass; arid region; ASTER; carbon flux; data set; dendrochronology; ecological modeling; eddy covariance; forest ecosystem; Landsat; Landsat thematic mapper; MODIS; Monte Carlo analysis; net ecosystem exchange; numerical model; primary production; remote sensing; China; Qilian Mountains |
| 来源期刊 | Agricultural and Forest Meteorology
 |
| 来源机构 | 中国科学院西北生态环境资源研究院 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/77220 |
| 推荐引用方式 GB/T 7714 | Tian X.； Yan M.； van der Tol C.； Li Z.； Su Z.； Chen E.； Li X.； Li L.； Wang X.； Pan X.； Gao L.； Han Z.. Modeling forest above-ground biomass dynamics using multi-source data and incorporated models: A case study over the qilian mountains[J]. 中国科学院西北生态环境资源研究院,2017,246. |
| APA | Tian X.； Yan M.； van der Tol C.； Li Z.； Su Z.； Chen E.； Li X.； Li L.； Wang X.； Pan X.； Gao L.； Han Z..(2017).Modeling forest above-ground biomass dynamics using multi-source data and incorporated models: A case study over the qilian mountains.Agricultural and Forest Meteorology,246. |
| MLA | Tian X.； Yan M.； van der Tol C.； Li Z.； Su Z.； Chen E.； Li X.； Li L.； Wang X.； Pan X.； Gao L.； Han Z.."Modeling forest above-ground biomass dynamics using multi-source data and incorporated models: A case study over the qilian mountains".Agricultural and Forest Meteorology 246(2017). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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