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Article

Estimation of the Value of Ecosystem Carbon Sequestration Services under Different Scenarios in the Central China (the Qinling-Daba Mountain Area)

1
School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
2
College of Geomatics, Xi’an University of Science and Technology, Xi’an 710054, China
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(1), 337; https://doi.org/10.3390/su12010337
Submission received: 10 October 2019 / Revised: 10 December 2019 / Accepted: 10 December 2019 / Published: 31 December 2019
(This article belongs to the Section Environmental Sustainability and Applications)

Abstract

The Qinling-Daba Mountain area is a transitional zone between north and south China and not much is known about its carbon storage, particularly its pool of soil organic carbon (SOC). Given this shortcoming, more reliable information regarding its SOC is needed. In light of this, we quantified above and below-ground carbon sinks using both the Carnegie-Ames-Stanford approach (CASA) model and an improved carbon cycle process model. We also assessed the net present value (NPV) for carbon budgets under different carbon price and discount rate scenarios using the NPV model. Our results indicated that the net primary productivity (NPP) was lower in places with low density forests that were situated at high elevation. The spatial distribution of carbon storage depended on NPP production and litter decompositon, which reflected specific vegetation as well as temperature and moisture gradients. The lowest amounts of carbon storage were in the center of the Qinling Mountains and also partly in the Daba area, which is a location associated with sparse grassland. Contrastingly, the broad-leaved forested area showed the highest amount of carbon storage. NPV was positively correlated with discount rate and carbon prices, thus resulting in the highest values in the forests and grassland. The net present value of total soil carbon sequestration in the six scenarios in 2015 was 3.555 b yuan, 3.621 b yuan, 5.421 b yuan, 5.579 b yuan, 7.530 b yuan, 7.929 b yuan; The net present value of total soil carbon sequestration in 6 scenarios in 2017 is 2.816 b yuan, 2.845 b yuan, 4.361 b yuan, 4.468 b yuan, 6.144 b yuan, 6.338 b yuan (billion = 109; b; RMB is the legal currency of the China, and its unit is yuan, 1 euro = 7.7949 yuan, and 1 pound = 9.2590 yuan). Levying a carbon tax would be a notable option for decision makers as they develop carbon emission reduction policies. Given this, incorporating discount rates and carbon pricing would allow for more realistic value estimations of soil organic carbon. This approach would also provide a theoretical basis and underscore the practical significance for the government to set a reasonable carbon price.
Keywords: net primary productivity; soil organic carbon; soil respiration; net present value; China’s north-south transition zone net primary productivity; soil organic carbon; soil respiration; net present value; China’s north-south transition zone

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MDPI and ACS Style

Yu, Y.; Li, J.; Zhou, Z.; Zeng, L.; Zhang, C. Estimation of the Value of Ecosystem Carbon Sequestration Services under Different Scenarios in the Central China (the Qinling-Daba Mountain Area). Sustainability 2020, 12, 337. https://doi.org/10.3390/su12010337

AMA Style

Yu Y, Li J, Zhou Z, Zeng L, Zhang C. Estimation of the Value of Ecosystem Carbon Sequestration Services under Different Scenarios in the Central China (the Qinling-Daba Mountain Area). Sustainability. 2020; 12(1):337. https://doi.org/10.3390/su12010337

Chicago/Turabian Style

Yu, Yuyang, Jing Li, Zixiang Zhou, Li Zeng, and Cheng Zhang. 2020. "Estimation of the Value of Ecosystem Carbon Sequestration Services under Different Scenarios in the Central China (the Qinling-Daba Mountain Area)" Sustainability 12, no. 1: 337. https://doi.org/10.3390/su12010337

APA Style

Yu, Y., Li, J., Zhou, Z., Zeng, L., & Zhang, C. (2020). Estimation of the Value of Ecosystem Carbon Sequestration Services under Different Scenarios in the Central China (the Qinling-Daba Mountain Area). Sustainability, 12(1), 337. https://doi.org/10.3390/su12010337

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