Comprehensive analysis of the impact of climatic changes on Chinese terrestrial net primary productivity

Zhu, Wenquan; Pan, Yaozhong; Yang, Xiao-Qiong; Song, Guobao

doi:10.1007/s11434-007-0521-5

Cited by 61 publications

(32 citation statements)

References 16 publications

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“…The standard latitude line is 25°N and 47°N, and the central longitude line is 110°E. From 1984 to 2003, the Chinese forest ecosystem mainly represented a carbon sink, which agrees well with the specific growth trend for NPP [31]. The total area of carbon sinks was 107.29 × 10 6 ha (76.6% of the total forest vegetation), the quantity of carbon fixation was 0.88 PgC, and the average annual carbon fixation was about 58.67 TgC a…”

Section: Spatial Distribution Of Carbon Sinkssupporting

confidence: 71%

The spatial distribution of forest carbon sinks and sources in China

et al. 2012

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Forest ecosystems play an important role in the global carbon cycle. The implementation of the United Nations Framework Convention on Climate Change (UNFCCC) and the Kyoto Protocol has made the study of forest ecosystem carbon cycling a hot topic of scientific research globally. This paper utilized Chinese national forest inventory data sets (for the periods 1984-1988 and 1999-2003), the vegetation map of China (1 : 1000000), and the spatially explicit net primary productivity (NPP) data sets derived with the remote sensing-based light use efficiency model (CASA model). We quantitatively estimated the spatial distribution of carbon sinks and sources of forest vegetation (with a resolution of 1 km) using the spatial downscaling technique. During the period 1984 to 2003 the forest vegetation in China represented a carbon sink. The total storage of carbon increased by 0.77 PgC, with a mean of 51.0 TgC a 1. The total carbon sink was 0.88 PgC and carbon source was 0.11 PgC during the study period. The carbon sink and carbon source of forest vegetation in China showed a clear spatial distribution pattern. Carbon sinks were mainly located in subtropical and temperate regions, with the highest values in Hainan Province, Hengduan mountain ranges, Changbai mountain ranges in Jilin, and south and northwest of the Da Hinggan Mountains; carbon sources were mainly distributed from the northeast to southwestern areas in China, with the highest values mainly concentrated in southern Yunnan Province, central Sichuan Basin, and northern Da Hinggan Mountains. Increase in NPP was strongly correlated with carbon sink strength. The regression model showed that more than 80% of the variation in the modeled carbon sinks in Northeast, Northern, Northwest and Southern China were explained by the variation in NPP increase. There was a strong relationship between carbon sink strength and forest stand age.

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Section: Spatial Distribution Of Carbon Sinkssupporting

confidence: 71%

The spatial distribution of forest carbon sinks and sources in China

et al. 2012

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“…Overall, when the CONTRAIL CO 2 data are added, the inverted carbon sink in China increases by 0.05 Pg C yr −1 (30 %), the posterior uncertainty is reduced by 0.0043 Pg C yr −1 (2.2 %), and the mean carbon sink in China is −0.25 ± 0.19 Pg C yr −1 for 2002 to 2008. Climate factors, such as temperature, precipitation and radiation, could affect plant growth (Zhu et al, 2007;Myoung et al, 2013), thereby the IAVs of land sinks (Ciais et al, 2005). Generally, a warmer condition advances vegetation growth for most regions in middle and high latitudes of the Northern Hemisphere (NH), including the crops in Europe and US, and the forests in central Siberia, western Canada and northeastern China (Myoung et al, 2013).…”

Section: Impact On Inter-annual Variationsmentioning

confidence: 99%

Carbon balance of China constrained by CONTRAIL aircraft CO<sub>2</sub> measurements

et al. 2014

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Abstract. Terrestrial carbon dioxide (CO 2 ) flux estimates in China using atmospheric inversion method are beset with considerable uncertainties because very few atmospheric CO 2 concentration measurements are available. In order to improve these estimates, nested atmospheric CO 2 inversion during 2002-2008 is performed in this study using passenger aircraft-based CO 2 measurements over Eurasia from the Comprehensive Observation Network for Trace gases by Airliner (CONTRAIL) project. The inversion system includes 43 regions with a focus on China, and is based on the Bayesian synthesis approach and the TM5 transport model. The terrestrial ecosystem carbon flux modeled by the Boreal Ecosystems Productivity Simulator (BEPS) model and the ocean exchange simulated by the OPA-PISCES-T model are considered as the prior fluxes. The impacts of CON-TRAIL CO 2 data on inverted China terrestrial carbon fluxes are quantified, the improvement of the inverted fluxes after adding CONTRAIL CO 2 data are rationed against climate factors and evaluated by comparing the simulated atmospheric CO 2 concentrations with three independent surface CO 2 measurements in China. Results show that with the addition of CONTRAIL CO 2 data, the inverted carbon sink in China increases while those in South and Southeast Asia decrease. Meanwhile, the posterior uncertainties over these regions are all reduced (2-12 %). CONTRAIL CO 2 data also have a large effect on the inter-annual variation of carbon sinks in China, leading to a better correlation between the carbon sink and the annual mean climate factors. Evaluations against the CO 2 measurements at three sites in China also show that the CONTRAIL CO 2 measurements may have improved the inversion results.

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“…China's terrestrial net primary production (NPP) increased by 18.7-24.2% from 1982 to 1999 (Fang et al 2003;Piao et al 2005b;Zhu et al 2007), along with significant upward trends in growing season leaf area index (LAI) and vegetation greening Xiao and Moody 2004). Seasonal total NPP in China significantly increased in all four seasons during the past 18 years, with the largest increase rate in spring and the greatest magnitude of increase in summer (Piao et al 2003b).…”

Section: Net Primary Productionmentioning

confidence: 99%

“…The increased NPP is primarily due to the increases in crop yields, forest plantation and growing season length for some evergreen and deciduous forests in eastern China, as well as increasing vegetation activity Piao et al 2005a). Such response of NPP to climate change is related to different vegetation types and depends on regional climate attributes and their changes such as the major ENSO and monsoon dynamics (Piao et al 2003a(Piao et al , 2005bFang et al 2005;Zhu et al 2007).…”

Section: Net Primary Productionmentioning

confidence: 99%

Impacts of climate change on Chinese ecosystems: key vulnerable regions and potential thresholds

2010

Reg Environ Change

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China is a key vulnerable region of climate change in the world. Climate warming and general increase in precipitation with strong temporal and spatial variations have happened in China during the past century. Such changes in climate associated with the human disturbances have influenced natural ecosystems of China, leading to the advanced plant phenology in spring, lengthened growing season of vegetation, modified composition and geographical pattern of vegetation, especially in ecotone and tree-lines, and the increases in vegetation cover, vegetation activity and net primary productivity. Increases in temperature, changes in precipitation regime and CO 2 concentration enrichment will happen in the future in China according to climate model simulations. The projected climate scenarios (associated with land use changes again) will significantly influence Chinese ecosystems, resulting in a northward shift of all forests, disappearance of boreal forest from northeastern China, new tropical forests and woodlands move into the tropics, an eastward shift of grasslands (expansion) and deserts (shrinkage), a reduction in alpine vegetation and an increase in net primary productivity of most vegetation types. Ecosystems in northern and western parts of China are more vulnerable to climate changes than those in eastern China, while ecosystems in the east are more vulnerable to land use changes other than climate changes. Such assessment could be helpful to address the ultimate objective of the United Nations Framework Convention on Climate Change (UNFCCC Article 2).

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Comprehensive analysis of the impact of climatic changes on Chinese terrestrial net primary productivity

Cited by 61 publications

References 16 publications

The spatial distribution of forest carbon sinks and sources in China

The spatial distribution of forest carbon sinks and sources in China

Carbon balance of China constrained by CONTRAIL aircraft CO<sub>2</sub> measurements

Impacts of climate change on Chinese ecosystems: key vulnerable regions and potential thresholds

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Comprehensive analysis of the impact of climatic changes on Chinese terrestrial net primary productivity

Cited by 61 publications

References 16 publications

The spatial distribution of forest carbon sinks and sources in China

The spatial distribution of forest carbon sinks and sources in China

Carbon balance of China constrained by CONTRAIL aircraft CO&lt;sub&gt;2&lt;/sub&gt; measurements

Impacts of climate change on Chinese ecosystems: key vulnerable regions and potential thresholds

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Carbon balance of China constrained by CONTRAIL aircraft CO<sub>2</sub> measurements