Forest carbon storage along the north-south transect of eastern China: Spatial patterns, allocation, and influencing factors

Wen, Desheng; He, Nianpeng

doi:10.1016/j.ecolind.2015.10.054

Cited by 61 publications

(31 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…6). Previous studies have shown that soil carbon and contents were also affected by climate along the transect30, which was consistent with our results (Table S1). Therefore, we assumed that climate had remarkable indirect effects on LCV by altering soil factors and species composition of communities in the forest transect.…”

Section: Discussionsupporting

confidence: 93%

Significant Phylogenetic Signal and Climate-Related Trends in Leaf Caloric Value from Tropical to Cold-Temperate Forests

Song

Zhang

et al. 2016

Sci Rep

Self Cite

View full text Add to dashboard Cite

Leaf caloric value (LCV) is a useful index to represent the conversion efficiency of leaves for solar energy. We investigated the spatial pattern of LCV and explored the factors (phylogeny, climate, and soil) that influence them at a large scale by determining LCV standardized by leaf area in 920 plant species from nine forest communities along the 3700 km North-South Transect of Eastern China. LCV ranged from 0.024 to 1.056 kJ cm−2 with an average of 0.151 kJ cm−2. LCV declined linearly with increasing latitude along the transect. Altogether, 57.29% of the total variation in LCV was explained by phylogenetic group (44.03% of variation), climate (1.27%), soil (0.02%) and their interacting effects. Significant phylogenetic signals in LCV were observed not only within forest communities but also across the whole transect. This phylogenetic signal was higher at higher latitudes, reflecting latitudinal change in the species composition of forest communities from complex to simple. We inferred that climate influences the spatial pattern of LCV through directly regulating the species composition of plant communities, since most plant species might tolerate only a limited temperature range. Our findings provide new insights into the adaptive mechanisms in plant traits in future studies.

show abstract

Section: Discussionsupporting

confidence: 93%

Significant Phylogenetic Signal and Climate-Related Trends in Leaf Caloric Value from Tropical to Cold-Temperate Forests

Song

Zhang

et al. 2016

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…Mean annual temperature and mean annual precipitation for each sampling plot in the vegetation dataset and the missing data in the soil dataset were taken from the National Climate Center (http://ncc.cma.gov.cn/cn/) using kriging methods. The original meteorological data were derived from long‐term observations of 722 meteorological stations in China (Wen & He, ). The kriging interpolation analyses were performed using ArcMap 10.0 (Environmental Systems Research Institute, Inc., Redlands, CA).…”

Section: Methodsmentioning

confidence: 99%

Soil and vegetation carbon turnover times from tropical to boreal forests

et al. 2017

Self Cite

View full text Add to dashboard Cite

Terrestrial ecosystems currently function as a net carbon (C) sink for atmospheric C dioxide (CO2), but whether this C sink can persist with global climate change is still uncertain. Such uncertainty largely comes from C turnover time in an ecosystem, which is a critical parameter for modelling C cycle and evaluating C sink potential. Our current understanding of how long C can be stored in soils and vegetation and what controls spatial variations in C turnover time on a large scale is still very limited. We used data on C stocks and C influx from 2,753 plots in vegetation and 1,087 plots in soils and investigated the spatial patterns as well controlling factors of C turnover times across forest ecosystems in eastern China. Our results showed a clear latitudinal pattern of C turnover times, with the shortest turnover times in the low‐latitude zones and the longest turnover times in the high‐latitude zones. Mean annual temperature and mean annual precipitation were the most important controlling factors on soil C turnover times, while forest age accounted for the majority of variations in the vegetation C turnover times. Forest origin (planted or natural forest) was also responsible for the variations in vegetation C turnover times, while forest type and soil properties were not the dominant controlling factors. Our study highlights the different dominant controlling factors in soil and vegetation C turnover times and different mechanisms underlying above‐ and below‐ground C turnover. These findings are essential to better understand (and reduce uncertainty) in predictive models of coupled C–climate system. A http://onlinelibrary.wiley.com/doi/10.1111/1365-2435.12914/suppinfo is available for this article.

show abstract

“…B max is the maximum vegetation biomass under the scenario of mature forests. Our previous study demonstrated that vegetation biomass in mature forests is mainly controlled by climate (MAP and MAT) in China (Wen & He, ). In this study, we considered 80 years as the age of a mature forest (Liu et al ., , ) and collected vegetation biomass data of mature forests from 3161 field plots and from the public databases between 2004 and 2014 (Wen & He, ).…”

Section: Methodsmentioning

confidence: 99%

Vegetation carbon sequestration in Chinese forests from 2010 to 2050

Wen

Zhu

et al. 2016

Global Change Biology

Self Cite

100

View full text Add to dashboard Cite

Forests store a large part of the terrestrial vegetation carbon (C) and have high C sequestration potential. Here, we developed a new forest C sequestration (FCS) model based on the secondary succession theory, to estimate vegetation C sequestration capacity in China's forest vegetation. The model used the field measurement data of 3161 forest plots and three future climate scenarios. The results showed that logistic equations provided a good fit for vegetation biomass with forest age in natural and planted forests. The FCS model has been verified with forest biomass data, and model uncertainty is discussed. The increment of vegetation C storage in China's forest vegetation from 2010 to 2050 was estimated as 13.92 Pg C, while the average vegetation C sequestration rate was 0.34 Pg C yr with a 95% confidence interval of 0.28-0.42 Pg C yr , which differed significantly between forest types. The largest contributor to the increment was deciduous broadleaf forest (37.8%), while the smallest was deciduous needleleaf forest (2.7%). The vegetation C sequestration rate might reach its maximum around 2020, although vegetation C storage increases continually. It is estimated that vegetation C sequestration might offset 6-8% of China's future emissions. Furthermore, there was a significant negative relationship between vegetation C sequestration rate and C emission rate in different provinces of China, suggesting that developed provinces might need to compensate for undeveloped provinces through C trade. Our findings will provide valuable guidelines to policymakers for designing afforestation strategies and forest C trade in China.

show abstract

Forest carbon storage along the north-south transect of eastern China: Spatial patterns, allocation, and influencing factors

Cited by 61 publications

References 56 publications

Significant Phylogenetic Signal and Climate-Related Trends in Leaf Caloric Value from Tropical to Cold-Temperate Forests

Significant Phylogenetic Signal and Climate-Related Trends in Leaf Caloric Value from Tropical to Cold-Temperate Forests

Soil and vegetation carbon turnover times from tropical to boreal forests

Vegetation carbon sequestration in Chinese forests from 2010 to 2050

Contact Info

Product

Resources

About