An assessment of forest biomass carbon storage and ecological compensation based on surface area: A case study of Hubei Province, China

He, Qingsong; Zeng, Chen; Xie, Peng; Liu, Yanfang; Zhang, Mengke

doi:10.1016/j.ecolind.2018.03.030

Cited by 54 publications

(20 citation statements)

References 40 publications

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“…Yang et al (2019) estimated that the total carbon emissions from cropland expansion in China ranged from 2.94 to 5.61 × 10 3 Tg during the past 300 years [46]. However, China's carbon emissions have risen sharply with rapid industrialization of the past 30 years, making it the world's largest emitter of CO2 [12,34]. At present, China is facing global pressure to reduce carbon emissions, and it pledged to strive for reversal of increasing carbon emissions by approximately 2030.…”

Section: Introductionmentioning

confidence: 99%

Cropland Changes Enhance Carbon Sequestration in Northwest China From 1995 to 2015

Kong¹,

He²,

Yang³

et al. 2021

Preprint

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Background: The Northwest China has experienced dramatic changes in agricultural land area in recent years; the effects of these changes on carbon storage are unknown and cannot guide further land development policies related to carbon emissions. In this study, we evaluated the effects of cropland changes (reclamation and transfer) during 1995-2015 on carbon storage in Northwest China by using land use data, carbon density data, and statistical yearbooks with the Intergovernmental Panel on Climate Change (IPCC) method. Results: The results indicated that the area of cropland increased by 1.48×106 ha from 1995 to 2005, resulting in a total carbon sequestration of 12.46 Tg, in which conversion of cropland to forest (11.16 Tg) and other land to cropland (8.92 Tg) were the main sources of the increase in carbon storage. Specifically, regional carbon sequestration due to cropland changes exhibited an increasing trend during 1995-2002 (dominated by cropland transfer), a gradually decreasing trend during 2002-2009 (dominated by cropland reclamation), and stabilization since then (during 2009-2015). Conclusions: These results suggest that the development of high carbon density lands or the conversion of low carbon density lands are critical to increasing future carbon sequestration due to cropland change. We used a novel approach of combining land use data, carbon density data, and statistical yearbooks to assess the impact of cropland change on carbon storage; this method is promising in applications which guide agricultural land-use management.

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Section: Introductionmentioning

confidence: 99%

Cropland Changes Enhance Carbon Sequestration in Northwest China From 1995 to 2015

Kong¹,

He²,

Yang³

et al. 2021

Preprint

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“…As a key issue for ecological compensation, the evaluation of ecological compensation standards (ECS), which are related to compensation feasibility and effect, has attracted widespread attention from governments and scholars. To date, studies on ECS have mainly focused on regions [10], wetlands [11], forests [12], watersheds [6], and grasslands [13]. ECS can be determined by evaluating the investment and opportunity costs of preservers, benefits of beneficiaries, loss values due to ecosystem damage, and ESVs [14].…”

Section: Introductionmentioning

confidence: 99%

A Developed Framework for the Multi-District Ecological Compensation Standards Integrating Ecosystem Service Zoning in an Urban Area in China

Wang

Tang

et al. 2019

Sustainability

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Ecological compensation is an effective means to adjust relationships among stakeholders in order to conserve and/or sustainably use ecosystem services. The current ecological compensation standards (ECS) do not well reflect the differences in ecological, social, and economic development. Thus, we took a typical urbanization area (the Suzhou–Wuxi–Changzhou region) in China as an example, because of its prominent contradiction between rapid socio-economic development and fragile ecosystem. Combined with the ecological, economic, and social conditions, the methods of ecosystem service value (ESV) evaluation, cluster analysis, and scenario analysis were used to propose an optimized spatial zoning method and optimal development scenario. Then, the ECS by different zones were determined by using ESV assessment, cost-benefit analysis, and contingent valuation method. The results showed that (1) the regions were divided into two categories, with a total of four zones: ESV output areas (synergetic development zones (SDZ) and ecological conservation zones (ECZ)) and ESV input areas (ecological degradation zones (EDegZ) and economic development zones (EDevZ)); (2) among five scenarios, the best development mode in the future was the protection and development scenario, which was consistent with the existing planning; and (3) the ECS for the SDZ should be paid about 1.94 billion Yuan/year, the ECZ should be paid about 0.80 billion Yuan/year, the ECS for the EDegZ should pay about 2.20–2.25 million Yuan/year, and the EDevZ should pay about 0.06–7.33 million Yuan/year. By feasibility analysis, the ESV input areas were fully capable of inter-regional compensation, which could promote the effective purchase of ecological services. The developed evaluation framework of ECS in this study can accurately provide a scientific basis for the determination of ecological compensation regulations and policies in the future.

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“…Scholars from various countries have conducted research to estimate carbon storage and change in vegetated ecosystems, and have developed some commonly used methods, such as sampling (Nogueira et al, 2008;Zomer et al, 2016), modelling (Evrendilek et al, 2007;Fang et al, 2007), remote sensing (Raciti et al, 2014;Grinand et al, 2017), and the carbon density database (Fang et al, 2007;Yang et al, 2010;Lai et al, 2016a;He et al, 2018). However, carbon storage is affected by vegetation type, soil type, climatic conditions, management activities, and more.…”

Section: Introductionmentioning

confidence: 99%

“…Li et al (2004) used carbon exchange within the Vegetation-Soil-Atmosphere system (CEVSA) model at a 0.5 latitude-longitude grid spatial resolution to calculate total carbon storage for multiple vegetation types in China, including grass, farm and forest, and obtained a total value of around 13.33 Pg C. Clearly the estimation of carbon storage varies greatly between different studies. The above studies provide theoretical and methodological references for estimating China's vegetation carbon storage, but they all reduce the spatial dimensionality reduction to estimate carbon storage in a two-dimensional plane space, ignoring the spatial heterogeneity caused by terrain fluctuations in threedimensional space (Peng et al, 2016;He et al, 2018;Yuan et al, 2018). This has meant that projected area, rather than land surface area, has been used to estimate carbon storage in terrestrial ecosystems.…”

Section: Introductionmentioning

confidence: 99%

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Re-assessing Vegetation Carbon Storage and Emissions from Land Use Change in China Using Surface Area

Tan

Xie

et al. 2019

Chin. Geogr. Sci.

Self Cite

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Land surface area estimation can provide basic information for accurately estimating vegetation carbon storage under complex terrain. This study selected China, a country dominated by mountains, as an example, and calculated terrestrial vegetation carbon storage (VCS) for 2000 and 2015 using land surface area and traditional ellipsoid area. The land surface area is estimated by a triangular network on the high precision digital elevation model. The results showed that: 1) The VCS estimated by the surface area measurement in 2000 and 2015 were 0.676 and 0.692 Pg C (1 Pg = 10 15 g) higher than the VCS calculated using the ellipsoid area, respectively. 2) As the elevation increases, the differences between VCS estimated by surface area measurement and ellipsoid area measurement are expanding. Specially, a clear gap was present starting from an elevation of 500 m, with the relative error exceeds 8.99%. 3) The total amount of carbon emitted due to land use change reached 0.114 Pg C. The conversions of forestland and grassland to other land use type are the main reasons of the loss of vegetation carbon storage, resulting in a total amount of biomass carbon storage decreased by 0.942 and 0.111 Pg C, respectively. This study was a preliminary exploration of incorporating land surface area as a factor in resource estimation, which can help more accurately understand the status of resources and the environment in the region.

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An assessment of forest biomass carbon storage and ecological compensation based on surface area: A case study of Hubei Province, China

Cited by 54 publications

References 40 publications

Cropland Changes Enhance Carbon Sequestration in Northwest China From 1995 to 2015

Cropland Changes Enhance Carbon Sequestration in Northwest China From 1995 to 2015

A Developed Framework for the Multi-District Ecological Compensation Standards Integrating Ecosystem Service Zoning in an Urban Area in China

Re-assessing Vegetation Carbon Storage and Emissions from Land Use Change in China Using Surface Area

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