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(searched for: doi:10.1016/j.scitotenv.2017.09.253)
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Published: 26 October 2022
by MDPI
Journal: Land
Abstract:
Based on panel data from 30 provinces from 2001 to 2018 in China, this paper explores the effects and mechanisms of green urbanization on the forestry green total factor productivity (FGTFP) in the context of carbon neutral strategy using a two-way fixed effects model and instrumental variables. The results show that: Firstly, as a sector with ecological and economic benefits, ignoring carbon sink output tends to make FGTFP overestimated. Secondly, green urbanization has a significant positive contribution effect on FGTFP, and this finding still holds after a series of robustness tests including instrumental variables. Thirdly, green urbanization can indirectly promote FGTFP by stimulating the integration of forestry and tourism and strengthening environmental regulations. Fourthly, there is regional heterogeneity in the impact of green urbanization on FGTFP, i.e., the promotion effect of green urbanization on FGTFP is more significant in non-state forest areas compared with state-owned forest areas. Based on the above conclusions, the following countermeasures are proposed: firstly, attaching importance to green urbanization and strengthening environmental constraints; secondly, relying on green urbanization to drive the integration of forestry and tourism; thirdly, actively promoting the construction of green urbanization and green development of forestry in non-state forest areas, while vigorously developing the carbon sink economy to crack the transformation dilemma of backward state forest areas.
International Journal of Environmental Research and Public Health, Volume 19; https://doi.org/10.3390/ijerph192013507

Abstract:
Mitigating carbon emissions through forest carbon sinks is one of the nature-based solutions to global warming. Forest ecosystems play a role as a carbon sink and an important source of bioenergy. China’s forest ecosystems have significantly contributed to mitigating carbon emissions. However, there are relatively limited quantitative studies on the carbon mitigation effects of forestry bioenergy in China, so this paper simulated the carbon sequestration of Chinese arbor forest vegetation from 2018 to 2060 based on the CO2FIX model and accounted for the carbon emission reduction brought about by substituting forestry bioenergy for fossil energy, which is important for the formulation of policies to tackle climate change in the Chinese forestry sector. The simulation results showed that the carbon storage of all arbor forest vegetation in China increased year by year from 2018 to 2060, and, overall, it behaved as a carbon sink, with the annual carbon sink fluctuating in the region of 250 MtC/a. For commercial forests that already existed in 2018, the emission reduction effected by substituting forestry bioenergy for fossil energy was significant. The average annual carbon reduction in terms of bioenergy by using traditional and improved stoves reached 36.1 and 69.3 MtC/a, respectively. Overall, for China’s existing arbor forests, especially commercial forests, forestry bioenergy should be utilized more efficiently to further exploit its emission reduction potential. For future newly planted forests in China, new afforestation should focus on ecological public welfare forests, which are more beneficial as carbon sinks.
Zhengwei Jin, Changjun Yu, Ruyang Wang, Wei Wei, Yunhuan Jing,
Published: 18 January 2022
Brazilian Journal of Chemical Engineering, Volume 39, pp 661-669; https://doi.org/10.1007/s43153-021-00200-8

The publisher has not yet granted permission to display this abstract.
Published: 9 July 2021
Scientific Reports, Volume 11, pp 1-21; https://doi.org/10.1038/s41598-021-93770-z

Abstract:
Forestry plays an essential role in reducing CO2 emissions and promoting green and sustainable development. This paper estimates the CO2 emissions of 30 provinces in China from 2008 to 2017, and uses Global DEA-Malmquist to measure the total factor productivity of the forestry industry and its decomposition index. On this basis, by constructing a spatial econometric model, this paper aims to empirically study the impact of forestry industry's total factor productivity and its decomposition index on CO2 emissions, and further analyze its direct, indirect and total effects. The study finds that the impact of forestry industry's total factor productivity on CO2 emissions shows an "inverted U-shaped" curve and the inflection point is 0.9395. The spatial spillover effect of CO2 emissions is significantly negative. The increase of CO2 emissions in adjacent areas will provide a "negative case" for the region, so that the region can better address its own energy conservation and emission reduction goals. TFP of forestry industry also has positive spatial spillover effect. However, considering the particularity of forestry industry, this effect is not very significant. For other factors, such as foreign direct investment, urbanization level, industrial structure and technology market turnover will also significantly affect regional CO2 emissions.
Published: 23 January 2021
Environmental Science and Pollution Research, Volume 28, pp 26461-26478; https://doi.org/10.1007/s11356-020-12257-y

Abstract:
Rivers engage in carbon cycle by transporting the dissolved products of weathering of rocks to the oceans, and this process is sensitive to the global climatic changes. The present study was carried out with an objective of estimating the spatial and temporal variation in carbon consumption due to rock weathering in Cauvery, which is a major non-perennial tropical river in the peninsular India. The samples of all the rock types of this river basin were collected and subjected to mineralogical analysis. The water samples from this river were collected three times a year from 2013 to 2017 at 28 locations and were analysed for pH, EC and major ions. The spatiotemporal variations in the chemistry of river water were used to understand the amount of carbon dioxide consumed by rock weathering. The contribution of weathering to dissolved load of the river was higher followed by the contribution of anthropogenic activities and rainfall. The contribution of silicate weathering is dominant during the high river flow, whereas during low flow time periods, the contribution of carbonate weathering is on par with silicate weathering. The carbon consumption due to weathering in the Cauvery river was higher when the flow was significant, and it was lower during summer months. It is also evident that the carbon consumption is high in the upper and middle regions of the basin due to the weathering of gneissic and granodiorite rocks. Thus, the carbon consumption and flux in this basin are dynamic, both spatially and temporally. The east flowing rivers draining through the peninsular India, which is mostly composed of massive rocks, also functions as carbon sink, thus benefitting the environment by reducing the excess CO2 in the atmosphere.
Yuanyuan Liu, , Carsten Meyer-Jacob, Linpei Huang, Xiaolong Liu, Guangcai Huang, Anna-Marie Klamt, John P. Smol
Published: 18 August 2020
Science of the Total Environment, Volume 751; https://doi.org/10.1016/j.scitotenv.2020.141738

The publisher has not yet granted permission to display this abstract.
Published: 7 January 2020
Environmental Science and Pollution Research, Volume 27, pp 8740-8758; https://doi.org/10.1007/s11356-019-07489-6

Abstract:
In recent years, climate change and carbon sinks have been widely studied by the academic community, and relevant research results have emerged in abundance. In this paper, a scientometric analysis of 747 academic works published between 1991 and 2018 related to climate change and carbon sinks is presented to characterize the intellectual landscape by identifying and revealing the basic characteristics, research power, intellectual base, research topic evolution, and research hotspots in this field. The results show that ① the number of publications in this field has increased rapidly and the field has become increasingly interdisciplinary; ② the most productive authors and institutions in this subject area are in the USA, China, Canada, Australia, and European countries, and the cooperation between these researchers is closer than other researchers in the field; ③ 11 of the 747 papers analyzed in this study have played a key role in the evolution of the field; and ④ in this paper, we divide research hotspots into three decade-long phases (1991–1999, 2000–2010, and 2011–present). Drought problems have attracted more and more attention from scholars. In the end, given the current trend of the studies, we conclude a list of research potentials of climate change and carbon sinks in the future. This paper presents an in-depth analysis of climate change and carbon sink research to better understand the global trends and directions that have emerged in this field over the past 28 years, which can also provide reference for future research in this field.
, Jiamin Ge
Published: 1 March 2019
Science of the Total Environment, Volume 655, pp 1169-1180; https://doi.org/10.1016/j.scitotenv.2018.11.219

Abstract:
Forestry has a dual role in mitigating climate change and increasing regional output value. Therefore, forestry is meaningful for the anthroposphere and the atmosphere. In this study, slacks-based measure (SBM) approach and Malmquist-Luenberger Index are adopted to measure the static efficiency and dynamic changes in forestry productivity in thirty regions in China. Ecological development is measured by setting forest carbon sinks as desirable output and economic development is evaluated by forestry output value. Moreover, using the three-stage DEA model, the economic and environmental factors are introduced to adjust regional forest carbon sinks and forestry output slacks. Finally, from timely evolution and spatial non-equilibrium perspectives, the ecological-economic efficiency and total factor productivity of forests are analyzed according to the results. The results revealed that the estimators of ecological efficiency and productivity are greater than the economic development of the forest. The highest ecological economic efficiency and productivity is in the southwest region of China. Eight economic or environmental factors adjusting the output have influence on the total factor productivity of forestry, and the results show that harvest has no clear effect on environmental improvement. Policy implications are further proposed to develop environmental management to mitigate climate change.
Published: 28 February 2019
Science of the Total Environment, Volume 667, pp 658-670; https://doi.org/10.1016/j.scitotenv.2019.02.405

Abstract:
Carbon emissions caused by human activities have exploded in recent years. Emission Trading Scheme (ETS) is a feasible way to reduce CO2. Little research concentrated on the ETS fines for excessive emission. We analyzed the different impacts of fine mechanisms in ETS by applying computable general equilibrium model and constructed seven scenarios. We found that although Gross Domestic Product (GDP) loss is not significant when applying ETS market, GDP loss would increase rapidly when ETS fine increases. The CO2 abatement effect of alterable ETS fine is a bit better than that of fixed fine. Higher fines will cause relatively lower carbon intensity compared with lower ETS fines, which is caused by different emission reduction effect in different scenarios. It seems that ETS fines cannot affect reduction costs as significantly as GDP loss rate and emission reduction. ETS fine can affect significantly ETS cost of enterprises, commodity price and output of energy-intensive industries as well as GDP loss and CO2 abatement, but can less influence carbon emission intensity and reduction cost. A proper ETS fine is very important and ETS fines in China's ETS market are 2–3 times of carbon price. We consider that the current government design is reasonable.
Published: 14 September 2018
by MDPI
Journal: Sustainability
Sustainability, Volume 10; https://doi.org/10.3390/su10093288

Abstract:
The effect of climate change on the spatio-temporal patterns of the terrestrial carbon dynamics in Central Asia have not been adequately quantified despite its potential importance to the global carbon cycle. Therefore, the modified BioGeochemical Cycles (Biome-BGC) model was applied in this study to evaluate the impacts of climatic change on net primary productivity (NPP) and net ecosystem productivity. Four vegetation types were studied during the period 1979 to 2011: cropland, grassland, forest, and shrubland. The results indicated that: (1) The climate data showed that Central Asia experienced a rise in annual mean temperature and a decline in precipitation from 1979 to 2011; (2) the mean NPP for Central Asia in 1979–2011 was 281.79 gC m−2 yr−1, and the cropland had the highest NPP compared with the other vegetation types, with a value of 646.25 gC m−2 yr−1; (3) grassland presented as a carbon source (−0.21 gC m−2 yr−1), whereas the other three types were carbon sinks; (4) the four vegetation types showed similar responses to climate variation during the past 30 years, and grassland is the most sensitive ecosystem in Central Asia. This study explored the possible implications for climate adaptation and mitigation.
, , Zhenming Zhang
Published: 10 September 2018
Journal of Environmental Management, Volume 228, pp 40-46; https://doi.org/10.1016/j.jenvman.2018.09.017

Abstract:
The present article reports an assessment of afforestation potential and anticipation of carbon sequestration in the Houzhai River Basin in Guizhou Province in southwestern China. Total of 2755 soil profiles consisting of 22,057 soil samples were collected according to a grid-sampling method at a 150 m scale in the Houzhai River basin, and the SOC contents in soil samples were analyzed using a titration method. General information regarding the geographic characteristics of each sampling grid was recorded in the field. The results indicate that land use in the Houzhai River Basin is very complex. Land use status and land use change in the study area were closely associated with local geographic characteristics and variations in economic structures. There were approximately 15.26 km2 of land that could or should be rearranged as afforestation land in the Houzhai River Basin. The increased SOC storage (0.00–1.00 m soil horizon) would be up to 5.48 × 104 Mg, 6.42 × 104 Mg, 4.77 × 104 Mg and 3.18 × 104 Mg when all of the calculated lands became shrub-grass lands, shrub lands, arbor-shrub forest lands and arbor forest lands, respectively. The increased SOC percentages would be 52.16%, 61.13%, 45.39% and 30.32%, respectively, in comparison with the present SOC storage in these lands.
, , Glauco De Souza Rolim, Lucieta Guerreiro Martorano, Sabrina Dos Santos Soares, , Cicero Teixeira Silva Costa, Daniel Zimmermann Mesquita, , Eufran Ferreira Do Amaral, et al.
Published: 18 August 2018
International Journal of Biometeorology, Volume 62, pp 1955-1962; https://doi.org/10.1007/s00484-018-1596-1

Abstract:
Bamboo has an important role in international commerce due to its diverse uses, but few studies have been conducted to evaluate its climatic adaptability. Thus, the objective of this study was to construct an agricultural zoning for climate risk (ZARC) for bamboo using meteorological elements spatialized by neural networks. Climate data included air temperature (TAIR, °C) and rainfall (P) from 4947 meteorological stations in Brazil from the years 1950 to 2016. Regions were considered climatically apt for bamboo cultivation when TAIR varied between 18 and 35 °C, and P was between 500 and 2800 mm year−1, or PWINTER was between 90 and 180 mm year−1. The remainder of the areas was considered marginal or inapt for bamboo cultivation. A multilayer perceptron (MLP) neural network with a multilayered “backpropagation” training algorithm was used to spatialize the territorial variability of each climatic element for the whole area of Brazil. Using the overlapping of the TAIR, P, and PWINTER maps prepared by MLP, and the established climatic criteria of bamboo, we established the agricultural zoning for bamboo. Brazil demonstrates high seasonal climatic variability with TAIR varying between 14 and 30 °C, and P varying between < 400 and 4000 mm year−1. The ZARC showed that 87% of Brazil is climatically apt for bamboo cultivation. The states that were classified as apt in 100% of their territories were Mato Grosso do Sul, Goiás, Tocantins, Rio de Janeiro, Espírito Santo, Sergipe, Alagoas, Ceará, Piauí, Maranhão, Rondônia, and Acre. The regions that have restrictions due to low TAIR represent just 11% of Brazilian territory. This agroclimatic zoning allowed for the classification of regions based on aptitude of climate for bamboo cultivation and showed that 71% of the total national territory is considered to be apt for bamboo cultivation. The regions that have restrictions are part of southern Brazil due to low values of TAIR and portions of the northern region that have high levels of P which is favorable for the development of diseases.
Yanliang Shang,
Published: 20 April 2018
Arabian Journal of Geosciences, Volume 11, pp 1-14; https://doi.org/10.1007/s12517-018-3518-2

The publisher has not yet granted permission to display this abstract.
, Meili Wei, Bikui Tang
Published: 17 April 2018
Journal: RSC Advances
RSC Advances, Volume 8, pp 14201-14211; https://doi.org/10.1039/c8ra01268g

Abstract:
Rock-weathering bacteria from the surfaces of less and more altered tuffs were isolated and characterized, along with the adjacent soils, with respect to their rock weathering pattern, stress resistance, community structure, and the changes in the rocks and soils.
Ziwen Lin, , , Yu Luo, , Xiaoqing Cai, Yongchun Li, Tian Yue, Peikun Jiang, ShuaiDong Hu, et al.
Published: 30 March 2018
Biology and Fertility of Soils, Volume 54, pp 467-480; https://doi.org/10.1007/s00374-018-1275-8

The publisher has not yet granted permission to display this abstract.
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