Estimation of biomass and net primary productivity of major planted forests in China based on forest inventory data

Min, Zhao; Zhou, Guangsheng

doi:10.1016/j.foreco.2004.10.049

Cited by 112 publications

(79 citation statements)

References 26 publications

(29 reference statements)

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“…However, it was significantly lower than Russia's 47.6 MgC/ha [12] and America's 61.0 MgC/ha [10]. Mature or maturing forests have higher NPP than young forests [14]. One reason for the low FBCD in the present study is that 64.7% of the forest areas in China consist of Middle and Young Stands with lower carbon density.…”

Section: Overall Changes Of Fbcs In Chinacontrasting

confidence: 55%

“…During the "12th Five-Year" Planning of National Economic Development (2011-2015), areas of national afforestation and forest tending were up by30 million and 39.7 million hectares, respectively. Thus, existing planted forests might have a large potential to accumulate additional biomass in living trees, since most of the plantation forests in China are young forests [14] and do not reach their maximum biological storage at current rotation length.…”

Section: Regression Analysis Resultsmentioning

confidence: 99%

“…In China, a forest inventory program combining ground surveys and remote sensing commenced in the early 1970s and has been conducted on a five-yearly cycle since 1984. Research on forest vegetation and the carbon pool in China has concentrated on calculating forest carbon sequestration capacity (e.g., Fang et al [13]; Zhao and Zhou [14]). Only limited research attention has been paid to spatiotemporal changes, or their impact on FBCS, and this has been limited to forest inventory data pre-2009 (e.g., Wang et al [15]; Guo et al [16]).…”

Section: Introductionmentioning

confidence: 99%

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Spatiotemporal Distribution and Driving Factors of Forest Biomass Carbon Storage in China: 1977–2013

Yang

Deane

et al. 2017

Forests

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Abstract:Increasing forest vegetation is important for carbon dynamics and to maintain the ecological and environmental balance in China. However, there is little understanding of how socioeconomic factors affect forest biomass carbon storage (FBCS). Here, we used continuous functions for biomass expansion factors and China's seven completed forest inventories to estimate the changes in FBCS for 31 provinces in mainland China between 1977 and 2013. We developed a model that decomposes the contribution of the different socioeconomic factors driving FBCS. We found China's FBCS increased from 4972 TgC (1 Tg = 10 12 g) in 1977 -1981 to 7435 TgC in 2009, with a mean growth of 77 TgC/a, and the average forest carbon density increased from 36.0 to 38.9Mg/ha (1 Mg = 10 6 g), mainly due to the arbor forest contribution. Among the seven regions in China, the southwestern region currently accounts for the highest proportion (37.3%) of national FBCS, followed by northeastern (19.7%), northern (12.5%) and eastern region (10.8%). The main socio-economic factors affecting FBCS were forest land dependence, industrial structure and economic development level. Optimizing forest type and age structure, improving forest productivity, and strengthening forest management are feasible options to further increase China's FBCS.

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Section: Overall Changes Of Fbcs In Chinacontrasting

confidence: 55%

Section: Regression Analysis Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatiotemporal Distribution and Driving Factors of Forest Biomass Carbon Storage in China: 1977–2013

Yang

Deane

et al. 2017

Forests

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“…Furthermore, P. tabulaeformis planted forest has a role in providing environmental service such as felling negative impacts on C cycle through the uptake and storage of C. Therefore, there is a need for accurate information concerning the C stocks in P. tabulaeformis planted forest. Previous studies have improved our understanding of the changes in biotic and ecological characteristics of P. tabulaeformis planted forests, including forest volume, biomass and net primary production at local scale (Ma 1983;Xiao 1990;Zhao & Zhou 2005), but little attention was paid on the dynamics of biomass and C storage with age structure variation. To quantify changes in C stocks and allocation in P. tabulaeformis planted forests in an age sequence will help us better predict the response of regional and global C balance to future climate change.…”

Section: Introductionmentioning

confidence: 99%

Variation in biomass and carbon storage by stand age in pine (Pinus tabulaeformis) planted ecosystem in Mt. Taiyue, Shanxi, China

Cheng

Han

Song

et al. 2013

Journal of Plant Interactions

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Forest ecosystems play dominant roles in global carbon budget because of the large quantities stored in live biomass, detritus, and soil organic matter. Researchers in various countries have investigated regional and continental scale patterns of carbon (C) stocks in forest ecosystems; however, the relationship between stand age in different components (vegetation, forest floor detritus, and mineral soil) and C storage and sequestration remains poorly understood. In this paper, we assessed an age sequence of 18-, 20-, 25-, 38-, and 42-year-old Pinus tabulaeformis planted by analyzing the vertical distribution of different components biomass with similar site conditions on Mt. Taiyue, Shanxi, China. The results showed that biomass of P. tabulaeformis planted stands was ranged from 88.59 Mg ha −1 for the 25-year-old stand to 231.05 Mg ha −1 for the 42-year-old stand and the major biomass was in the stems. Biomass of the ground vegetation varied from 0.51 to 1.35 Mg C ha −1 between the five stands. The forest floor biomass increased with increasing stand age. The mean C concentration of total tree was 49.94%, which was higher than C concentrations of ground vegetation and forest floor. Different organs of trees C concentration were between 54.14% and 47.74%. C concentrations stored in the mineral soil for each stand experienced decline with increasing soil depth, but were ageindependent. Total C storage of five planted forests ranged from 122.15 to 229.85 Mg C ha, of which 51.44-68.38% of C storage was in the soil and 28.46-45.21% in vegetation. The study provided not only with an estimation biomass of P. tabulaeformis planted forest in Mt. Taiyue, Shanxi, China, but also with accurately estimating forest C storage at ecosystem scale.

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“…Tutulan biyokütle miktarlarının ve değişimlerinin tam ve kesin olarak belirlenebilmesi, küresel karbon döngüsü, özellikle CO 2 emisyonlarının etkisinin hafifletilmesi açısından artan bir şekilde önem kazanmaktadır (Zhao and Zhou 2005;Brown, 2002 …”

Section: Sonuç Ve öNeri̇lerunclassified

Biokütle Çalışmaları ve Gövde Odun Örneklerinin Alınması Esasları

Durkaya¹,

Durkaya²,

Kaptan³

2016

Bartın Orman Fakültesi Dergisi

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Estimation of biomass and net primary productivity of major planted forests in China based on forest inventory data

Cited by 112 publications

References 26 publications

Spatiotemporal Distribution and Driving Factors of Forest Biomass Carbon Storage in China: 1977–2013

Spatiotemporal Distribution and Driving Factors of Forest Biomass Carbon Storage in China: 1977–2013

Variation in biomass and carbon storage by stand age in pine (Pinus tabulaeformis) planted ecosystem in Mt. Taiyue, Shanxi, China

Biokütle Çalışmaları ve Gövde Odun Örneklerinin Alınması Esasları

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