Estimation of biomass, net primary production and net ecosystem production of China's forests based on the 1999–2003 National Forest Inventory

Wang, Bin; Huang, Juying; Yang, Xuefei; Zhang, Biao; Liu, Moucheng

doi:10.1080/02827581.2010.524891

Cited by 30 publications

(24 citation statements)

References 18 publications

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“…Based on the 1999-2003 national forest inventory, Wang et al (2010) calculated the carbon sink of China's forest to be −0.21 PgC yr −1 . Using an ecosystem model, Wang et al (2007) simulated the forest carbon sink to be −0.18 ± 0.05 PgC yr −1 during 1988during -2001during , and Tian et al (2011 simulated the China land sink to be −0.21 PgC yr −1 during , with a range from −0.18-0.24 PgC yr −1 .…”

Section: F Jiang Et Al: Nested Inversion For Carbon Sinks In Chinamentioning

confidence: 99%

Nested atmospheric inversion for the terrestrial carbon sources and sinks in China

et al. 2013

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In this study, we establish a nested atmospheric inversion system with a focus on China using the Bayesian method. The global surface is separated into 43 regions based on the 22 TransCom large regions, with 13 small regions in China. Monthly CO₂ concentrations from 130 GlobalView sites and 3 additional China sites are used in this system. The core component of this system is an atmospheric transport matrix, which is created using the TM5 model with a horizontal resolution of 3° × 2°. The net carbon fluxes over the 43 global land and ocean regions are inverted for the period from 2002 to 2008. The inverted global terrestrial carbon sinks mainly occur in boreal Asia, South and Southeast Asia, eastern America and southern South America. Most China areas appear to be carbon sinks, with strongest carbon sinks located in Northeast China. From 2002 to 2008, the global terrestrial carbon sink has an increasing trend, with the lowest carbon sink in 2002. The inter-annual variation (IAV) of the land sinks shows remarkable correlation with the El Niño Southern Oscillation (ENSO). The terrestrial carbon sinks in China also show an increasing trend. However, the IAV in China is not the same as that of the globe. There is relatively stronger land sink in 2002, lowest sink in 2006, and strongest sink in 2007 in China. This IAV could be reasonably explained with the IAVs of temperature and precipitation in China. The mean global and China terrestrial carbon sinks over the period 2002–2008 are −3.20 ± 0.63 and −0.28 ± 0.18 PgC yr⁻¹, respectively. Considering the carbon emissions in the form of reactive biogenic volatile organic compounds (BVOCs) and from the import of wood and food, we further estimate that China's land sink is about −0.31 PgC yr⁻¹

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Section: F Jiang Et Al: Nested Inversion For Carbon Sinks In Chinamentioning

confidence: 99%

Nested atmospheric inversion for the terrestrial carbon sources and sinks in China

et al. 2013

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“…Forest inventory information such as diameter at breast height (DBH), tree height (h), species, basal area and volume are critical to assessing the potential of wild fire hazard [1], obtaining and validating aboveground biomass, calculating forest ecosystem services and assessing carbon sequestration strategies for sustainable management [2][3][4]. Forest inventory has facilitated studies and research not only regarding the economic aspects of forest management, such as timber product sale or revenue earnings [5]; but also the ecological aspects including wildlife habitat [6,7], forest stability, ecosystem services [8,9] and natural biodiversity conservation [10].…”

Section: Introductionmentioning

confidence: 99%

Retrieving Forest Inventory Variables with Terrestrial Laser Scanning (TLS) in Urban Heterogeneous Forest

2011

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Abstract:We present the point cloud slicing (PCS) algorithm, to post process point cloud data (PCD) from terrestrial laser scanning (TLS). We then test this tool for forest inventory application in urban heterogeneous forests. The methodology was based on a voxel data structure derived from TLS PCD. We retrieved biophysical tree parameters including diameter at breast height (DBH), tree height, basal area, and volume. Our results showed that TLS-based metrics explained 91.17% (RMSE = 9.1739 cm, p < 0.001) of the variation in DBH at individual tree level. Though the scanner generated a high-density PCD, only 57.27% (RMSE = 0.7543 m, p < 0.001) accuracy was achieved for predicting tree heights in these very heterogeneous stands. Furthermore, we developed a voxel-based TLS volume estimation method. Our results showed that PCD generated from TLS single location scans only captures 18% of the total tree volume due to an occlusion effect; yet there are significant relationships between the TLS data and field measured parameters for DBH and height, giving promise to the utility of a side scanning approach. Using our method, a terrestrial LiDAR-based inventory, also applicable to mobile-or vehicle-based laser scanning (MLS or VLS), was produced for future calibration of Aerial Laser Scanning (ALS) data and urban forest canopy assessments. OPEN ACCESSRemote Sens. 2012, 4 2

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“…Comparisons of the carbon sink estimations in this study with estimates in the literature (Table ) indicated that our estimated vegetation carbon sink is comparable with estimates based on forest inventory data, in which the estimated vegetation sink ranges from 43.1 to 147.1 gC m −2 yr −1 [ Fang et al ., ; Lun et al ., ; Pan et al ., , ; Wang et al ., ], and with process‐based models that consider detailed land use and changes in land cover [ Tian et al ., ]. When forest area was considered, we estimated the total forest carbon sink in China as 117.2 ± 22.0 TgC yr −1 (Table ).…”

Section: Discussionmentioning

confidence: 99%

Nonsteady state carbon sequestration in forest ecosystems of China estimated by data assimilation

et al. 2013

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[1] Carbon sequestration occurs only when terrestrial ecosystems are at nonsteady states. Despite of their ubiquity in the real world, the nonsteady states of ecosystems have not been well quantified, especially at regional and global scales. In this study, we developed a two-step data assimilation scheme to estimate carbon sink strength in China's forest ecosystems. Specifically, the two-step scheme consists of a steady state step and a nonsteady state step. In the steady state step, we constrained a process-based model (Terrestrial Ecosystem Regional (TECO-R) model) against biometric data (net primary production NPP, biomass, litter, and soil organic carbon) in mature forests. With a subset of the parameter values estimated from the steady state data assimilation being fixed, the nonsteady state data assimilation was performed to estimate carbon sequestration in China's forest ecosystems. Our results indicated that 17 out of the 22 total parameters in the TECO-R model were well constrained by the biometric data with the steady state data assimilation. When observations from both mature and developing forests were used, all the 10 parameters related to carbon sequestration in vegetation and soil carbon pools were well constrained at the nonsteady state step. The estimated mean vegetation carbon sink in China's forests is 89.7 ± 16.8 gC m À2 yr À1 , comparable with the values estimated from the forest inventory and other process-based regional models. The estimated mean soil and litter carbon sinks in China's forests are 14.1 ± 20.7 and 4.7 ± 6.5 gC m À2 yr À1. This study demonstrated that a two-step data assimilation scheme can be a potent tool to estimate regional carbon sequestration in nonsteady state ecosystems.

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Estimation of biomass, net primary production and net ecosystem production of China's forests based on the 1999–2003 National Forest Inventory

Cited by 30 publications

References 18 publications

Nested atmospheric inversion for the terrestrial carbon sources and sinks in China

Nested atmospheric inversion for the terrestrial carbon sources and sinks in China

Retrieving Forest Inventory Variables with Terrestrial Laser Scanning (TLS) in Urban Heterogeneous Forest

Nonsteady state carbon sequestration in forest ecosystems of China estimated by data assimilation

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