Review of regional carbon counting methods for the Chinese major ecological engineering programs

Ji Zheng , Xiaohua Wei , Yuanqiu Liu , Guohua Liu , Weifeng Wang , Wenfei Liu

Journal of Forestry Research ›› 2016, Vol. 27 ›› Issue (4) : 727 -738.

PDF
Journal of Forestry Research ›› 2016, Vol. 27 ›› Issue (4) : 727 -738. DOI: 10.1007/s11676-016-0256-8
Review Article

Review of regional carbon counting methods for the Chinese major ecological engineering programs

Author information +
History +
PDF

Abstract

In order to improve environment and relieve poverty, China has launched a series of major ecological engineering programs since the 1980s. These include the Natural Forest Conservation Program, the Sloping Cropland Conversion Program, the Desertification Combating Program, and the Protection Forest System Construction Program. There is a growing need to quantify the contributions of these programs to regional carbon stocks. However, the lack of widely accepted, robust methods is one of the key obstacles to quantification. The objective of this study was to review existing methods for quantifying regional carbon stocks and then recommend suitable ones for the Chinese ecological engineering programs. We expect that the recommended methods can be applied to elsewhere in the world where there are similar characteristics and objectives.

Keywords

Ecological engineering programs / Carbon counting methods / Carbon stocks / Regional scale

Cite this article

Download citation ▾
Ji Zheng, Xiaohua Wei, Yuanqiu Liu, Guohua Liu, Weifeng Wang, Wenfei Liu. Review of regional carbon counting methods for the Chinese major ecological engineering programs. Journal of Forestry Research, 2016, 27(4): 727-738 DOI:10.1007/s11676-016-0256-8

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Adams B, White A, Lenton TM. An analysis of some diverse approaches to modelling terrestrial net primary productivity. Ecol Model, 2004, 177(3): 353-391.

[2]

Baccini A, Goetz SJ, Walker WS, Laporte NT, Sun M, Sulla-Menashe D, Hackler J, Beck PSA, Dubayah D, Friedl MA, Samanta S, Houghton RA. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nat Clim Chang, 2012, 2(3): 182-185.

[3]

Berenguer E, Ferreira J, Gardner TA, Aragão LEOC, De Camargo PB, Cerri CE, Durigan M, De Oliveira Junior RC, Vieira ICG, Barlow J. A large-scale field assessment of carbon stocks in human-modified tropical forests. Glob Chang Biol, 2014, 20(12): 3713-3726.

[4]

Bernoux M, Eschenbrenner V, Cerri CC, Melillo JM, Feller C. LULUCF-based CDM: too much ado for a small carbon market. Clim Policy, 2002, 2(4): 379-385.

[5]

Blackard JA, Finco MV, Helmer EH, Holden GR, Hoppus ML, Jacobs DM, Lister AJ, Moisen GG, Nelson MD, Riemann R, Ruefenacht B, Salajanu D, Weyermann DL, Winterberger KC, Brandeis TJ, Czaplewski RL, McRoberts RE, Patterson PL, Tymcio RP. Mapping US forest biomass using nationwide forest inventory data and moderate resolution information. Remote Sens Environ, 2008, 112(4): 1658-1677.

[6]

Chaplot V, Bouahom B, Valentin C. Soil organic carbon stocks in Laos: spatial variations and controlling factors. Glob Chang Biol, 2010, 16(4): 1380-1393.

[7]

Chen EX. Development of forest biomass estimation using SAR data. World For Res, 1999, 12(6): 18-23. (in Chinese)

[8]

Chen G, Hay G (2009) Modeling large-area canopy surface heights from lidar transects and quickbird data. Proceedings SilviLaser: College Station, Texas, pp 202–209

[9]

Curran P, Steven M. Multispectral remote sensing for the estimation of green leaf area index [and discussion]. Philos Trans R Soc Lond Ser A, 1983, 309(1508): 257-270.

[10]

Fang JY, Chen AP, Peng CH, Zhao SQ, Ci LJ. Changes in forest biomass carbon storage in China between 1949 and 1998. Science, 2001, 292(5525): 2320-2322.

[11]

Fang JY, Chen AP, Zhao SQ, Ci LJ. Estimating biomass carbon of China’s forests: supplementary notes on report published in Science (291: 2320-2322) by Fang et al. (2001). Acta Phytoecol Sin, 2002, 26(2): 243-249. in Chinese

[12]

Fang JY, Guo ZD, Piao SL, Chen AP. Terrestrial vegetation carbon sinks in China, 1981–2000. Sci China Ser D, 2007, 50(9): 1341-1350. in Chinese)

[13]

Fang JY, Guo ZD, Hu HF, Kato T, Muraoka H, Son YH. Forest biomass carbon sinks in East Asia, with special reference to the relative contributions of forest expansion and forest growth. Glob Chang Biol, 2014, 20(6): 2019-2030.

[14]

Feng XM, Fu BJ, Lu N, Zeng Y, Wu BF. How ecological restoration alters ecosystem services: an analysis of carbon sequestration in China’s Loess Plateau. Sci Rep, 2013, 3 2846

[15]

Foody GM, Cutler ME, Mcmorrow J, Pelz D, Tangki H, Boyd DS, Douglas L. Mapping the biomass of Bornean tropical rain forest from remotely sensed data. Glob Ecol Biogeogr, 2001, 10(4): 379-387.

[16]

Goetz S, Dubayah R. Advances in remote sensing technology and implications for measuring and monitoring forest carbon stocks and change. Carbon Manag, 2011, 2(3): 231-244.

[17]

Guo ZD, Fang JY, Pan Y, Birdsey R. Inventory-based estimates of forest biomass carbon stocks in China: a comparison of three methods. For Ecol Manag, 2010, 259(7): 1225-1231.

[18]

Guo QH, Liu J, Tao SL, Xue BL, Li L, Xu GC, Li WK, Wu FF, Li YM, Chen LH, Pang SX. Perspectives and prospects of LiDAR in forest ecosystem monitoring and modeling. Chin Sci Bull, 2014, 59(6): 459-478. in Chinese)

[19]

Huang CH, Zhang ZY, Zhang WJ, Yang J. A review of overseas remote sensing monitoring methods for aboveground forest carbon sink. World For Res, 2012, 25(6): 20-26. (in Chinese)

[20]

Huang JW, Hu TX, Zhang ZH. The monitoring technology in Natural Forest Conservation Program. 2012, Beijing: China Forestry Publishing (in Chinese)

[21]

Huang KB, Pang Y, Shu QT, Fu T. Aboveground forest biomass estimation using ICESat GLAS in Yunnan, China. J Remote Sens, 2013, 17(1): 165-179. (in Chinese)

[22]

Hyde P, Nelson R, Dan K, Levine E. Exploring LiDAR–RaDAR synergy-Predicting aboveground biomass in a southwestern ponderosa pine forest using LiDAR, SAR and InSAR. Remote Sensing of Environ, 2007, 106(1): 28-38.

[23]

IPCC (2003) Good practice guidance for land use, land-use change and forestry. IPCC/IGES, ISBN, Hayama, 4-88788-003-0

[24]

IPCC (2006) IPCC guidelines for national greenhouse gas inventory. IPCC/IGES, ISBN, Hayama, 4-88788-032-4

[25]

Kern JS. Spatial patterns of soil organic carbon in the contiguous United States. Soil Sci Soc Am J, 1994, 58(2): 439-455.

[26]

Krogh L, Noergaard A, Hermansen M, Greve MH, Balstroem T, Breuning-Madsen H. Preliminary estimates of contemporary soil organic carbon stocks in Denmark using multiple datasets and four scaling-up methods. Agric Ecosyst Environ, 2003, 96(1): 19-28.

[27]

Kurz WA, Dymond CC, White TM, Stinson G, Shaw CH, Rampley GJ, Smyth C, Simpson BN, Neilson ET, Trofymow JA, Metsaranta J, Apps MJ. CBM-CFS3: a model of carbon-dynamics in forestry and land-use change implementing IPCC standards. Ecol Model, 2009, 220(4): 480-504.

[28]

Li YC. The grain for green project in China. 2005, Beijing: China Forestry Publishing (in Chinese)

[29]

Li TT, Ji HB, Sun YY, Luo JM, Jiang YB, Wang LX. Advances in researches on soil organic carbon storages and affecting factors in China. J Cap Norm Univ (Nat Sci Ed), 2007, 28(1): 93-97. (in Chinese)

[30]

Lim K, Treitz P, Wulder M, St-Onge B, Flood M. LiDAR remote sensing of forest structure. Prog Phys Geogr, 2003, 27(1): 88-106.

[31]

Liu J, Chen JM, Cihlar J, Park WM. A process-based boreal ecosystem productivity simulator using remote sensing inputs. Remote Sens Environ, 1997, 62(2): 158-175.

[32]

Liu SN, Zhou T, Shu Y, Dai M, Wei LY, Zhang X. The estimating of spatial distribution of forest biomass in China based on remote sensing and downscaling techniques. Acta Ecol Sin, 2012, 32(8): 2320-2330. in Chinese)

[33]

Luo YJ, Zhang XQ, Hou ZH, Yu PT, Zhu JH. Biomass carbon accounting factors of Larix forests in China based on literature data. J Plant Ecol, 2007, 31(6): 1111-1118. in Chinese)

[34]

Masera OR, Garza-Caligaris JF, Kanninen M, Karjalainen T, Liski J, Nabuurs GJ, Pussinen A, De Jong BHJ, Mohren GMJ. Modeling carbon sequestration in afforestation, agroforestry and forest management projects: the CO2FIX V. 2 approach. Ecol Model, 2003, 164(2): 177-199.

[35]

Ni J. Carbon storage in terrestrial ecosystems of China: estimates at different spatial resolutions and their responses to climate change. Clim Chang, 2001, 49(3): 339-358.

[36]

Pan Y, Birdsey RA, Fang JY, Houghton R, Kauppi PE, Kurz WA, Phillips OL, Shvidenko A, Lewis SL, Canadell JG, Ciais P, Jackson RB, Pacala SW, McGuire AD, Piao SL, Rautiainen A, Sitch S, Hayes D. A large and persistent carbon sink in the world’s forests. Science, 2011, 333(6045): 988-993.

[37]

Parton WJ, Schimel DS, Cole CV, Ojima DS. Analysis of factors controlling soil organic matter levels in Great Plains grasslands. Soil Sci Soc Am J, 1987, 51(5): 1173-1179.

[38]

Parton WJ, Scurlock JMO, Ojima DS, Gilmanov TG, Scholes RJ, Schimel DS, Kirchner T, Menaut JC, Seastedt T, Moya EG, Kamnalrut A, Kinyamario JI. Observations and modeling of biomass and soil organic matter dynamics for the grassland biome worldwide. Global Biogeochem Cycles, 1993, 7(4): 785-809.

[39]

Peng CH, Liu JX, Dang QL, Apps MJ, Jiang H. TRIPLEX: a generic hybrid model for predicting forest growth and carbon and nitrogen dynamics. Ecol Model, 2002, 153(1): 109-130.

[40]

Post WM, Emanuel WR, Zinke PJ, Stangenberger AG. Soil carbon pools and world life zones. Nature, 1982, 298: 156-159.

[41]

Post WM, Peng TH, Emanuel WR, King AW, Dale VH, DeAngelis DL. The global carbon cycle. Am Sci, 1990, 78(4): 310-326.

[42]

Potter CS, Randerson JT, Field CB, Matson PA, Vitousek PM, Mooney HA, Klooster SA. Terrestrial ecosystem production: a process model based on global satellite and surface data. Global Biogeochem Cycles, 1993, 7(4): 811-841.

[43]

Richards G, Evans D (2000) Carbon Accounting Model for Forests (CAMFor) User Manual: Version 3.35. Australian Greenhouse Office

[44]

Running SW, Gower ST. FOREST-BGC, a general model of forest ecosystem processes for regional applications. II. Dynamic carbon allocation and nitrogen budgets. Tree Physiol, 1991, 9(1–2): 147-160.

[45]

Sader SA, Waide RB, Lawrence WT, Joyce AT. Tropical forest biomass and successional age class relationships to a vegetation index derived from Landsat TM data. Remote Sens Environ, 1989, 28: 143-198.

[46]

Schwartz D, Namri M. Mapping the total organic carbon in the soils of the Congo. Glob Planet Chang, 2002, 33(1): 77-93.

[47]

Sellers P. Canopy reflectance, photosynthesis and transpiration. Int J Remote Sens, 1985, 6(8): 1335-1372.

[48]

Smith JE, Heath LS. Identifying influences on model uncertainty: an application using a forest carbon budget model. Environ Manag, 2001, 27(2): 253-267.

[49]

Smith B, Knorr W, Widlowski JL, Pinty B, Gobron N. Combining remote sensing data with process modelling to monitor boreal conifer forest carbon balances. For Ecol Manag, 2008, 255(12): 3985-3994.

[50]

Stinson G, Kurz WA, Smyth CE, Neilson ET, Dymond CC, Metsaranta JM, Boisvenue C, Rampley GJ, Li Q, White TM, Blain D. An inventory-based analysis of Canada’s managed forest carbon dynamics, 1990 to 2008. Glob Chang Biol, 2011, 17(6): 2227-2244.

[51]

Tang SZ, Zhang HR, Xu H. Study on establish and estimate and estimate method of compatible biomass model. Sci Silvae Sin, 2000, 2000(S1): 19-27. (in Chinese)

[52]

Tang XG, Liu DW, Wang ZM, Jiang MM, Dong ZY, Liu JY, Xu WM. Estimation of forest aboveground biomass based on remote sensing data: a review. Chin J Ecol, 2012, 31(5): 1311-1318. (in Chinese)

[53]

Trotter C, Dymond J, Goulding C. Estimation of timber volume in a coniferous plantation forest using Landsat TM. Int J Remote Sens, 1997, 18(10): 2209-2223.

[54]

Wang SQ, Liu JY, Yu GR. Error analysis of estimating terrestrial soil organic carbon storage in China. Chin J Appl Ecol, 2003, 14(5): 797-802. (in Chinese)

[55]

Wang D, Wang B, Niu X. Forest carbon sequestration in China and its benefits. Scand J For Res, 2014, 29(1): 51-59.

[56]

Wei XH, Blanco JA. Significant Increase in ecosystem C can be achieved with sustainable forest management in subtropical plantation forests. PLoS One, 2014, 9 2 e89688

[57]

Wei YW, Zhou WM, Yu DP, Zhou L, Fang XM, Zhao W, Bao Y, Meng YY, Dai LM. Carbon storage of forest vegetation under the Natural Forest Protection Program in Northeast China. Acta Ecol Sin, 2014 (in Chinese)

[58]

Yu DS, Shi XZ, Sun WX, Wang HJ, Liu QH, Zhao YC. Estimation of China soil organic carbon storage and density based on 1:1000000 soil database. Chin J Appl Ecol, 2005, 16(12): 2279-2283. (in Chinese)

[59]

Yu GR, Fang HJ, Fu YL, Wang QF. Research on carbon budget and carbon cycle of terrestrial ecosystems in regional scale: a review. Acta Ecol Sin, 2011, 31(19): 5449-5459. (in Chinese)

[60]

Yu DP, Wang XY, Yin Y, Zhan JY, Lewis BJ, Tian J, Bao Y, Zhou WM, Zhou L, Dai LM. Estimates of forest biomass carbon storage in Liaoning Province of Northeast China: a review and assessment. PLoS One, 2014, 9 2 e89572

[61]

Zhang J, Chu ZY, Ge Y, Zhou XL, Jiang H, Chang J, Peng CH, Zheng JW, Jiang B, Zhu JR, Yu SQ. TRIPLEX model testing and application for predicting forest growth and biomass production in the subtropical forest zone of China’s Zhejiang Province. Ecol Model, 2008, 219(3): 264-275.

[62]

Zhi JJ, Jing CW, Zhang C, Wu JP, Ni ZH, Chen HJ, Xu J. Estimation of soil organic carbon density and storage in Zhejiang Province of East China by using 1:50000 soil database. Chin J Appl Ecol, 2013, 24(3): 683-689. (in Chinese)

AI Summary AI Mindmap
PDF

157

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/