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Xiao Zheng
Liaoning Key Laboratory for Management of Non-Commercial Forests, Shenyang 110016, China

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Journal article
Published: 28 May 2021 in Sustainability
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Quantitative assessment of ecological vulnerability is of great significance for ecological protection and restoration in ecologically vulnerable regions. Here, the ecological vulnerability of the northern sand prevention belt (NSPB) of China was assessed using an ecological pressure–sensibility–resilience model from 2000 to 2015. Results showed that the ecological vulnerability index (EVI) displayed low values in the eastern part and high values in the western part of the study region. The EVI ranged from 0.29 to 1.32 in 2000, with the mean value of 0.88, whereas it averaged 0.78 in 2015, ranging from 0.21 to 1.26. Decreasing EVI from 2000 to 2015 indicated that the ecological status has been improved. Moreover, the area proportion of moderately, heavily, and extremely ecological vulnerability levels occupied approximately 87% in both 2000 and 2015, indicating a high ecological vulnerability level. Furthermore, the change in area proportion of different ecological vulnerability levels were associated with the change in the spatial distribution of vegetation coverage, indicating that eco-environmental protection projects were indeed effective. These findings indicated that differential strategies in different restoration zones should be adopted, especially in the western parts of the study region, and eco-environmental protection projects should be reinforced to improve the ecological restoration.

ACS Style

Xiufen Li; Lining Song; Zunbo Xie; Tian Gao; Tingting Wang; Xiao Zheng; Jiang Liu; Limin Liu. Assessment of Ecological Vulnerability on Northern Sand Prevention Belt of China Based on the Ecological Pressure–Sensibility–Resilience Model. Sustainability 2021, 13, 6078 .

AMA Style

Xiufen Li, Lining Song, Zunbo Xie, Tian Gao, Tingting Wang, Xiao Zheng, Jiang Liu, Limin Liu. Assessment of Ecological Vulnerability on Northern Sand Prevention Belt of China Based on the Ecological Pressure–Sensibility–Resilience Model. Sustainability. 2021; 13 (11):6078.

Chicago/Turabian Style

Xiufen Li; Lining Song; Zunbo Xie; Tian Gao; Tingting Wang; Xiao Zheng; Jiang Liu; Limin Liu. 2021. "Assessment of Ecological Vulnerability on Northern Sand Prevention Belt of China Based on the Ecological Pressure–Sensibility–Resilience Model." Sustainability 13, no. 11: 6078.

Journal article
Published: 11 June 2020 in Sustainability
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The effects of forest restoration on ecosystem services and their trade-offs are increasingly discussed by environmental managers and ecologists, but few demonstrations have analyzed ecosystem service trade-offs with a view to informing afforestation choices. Here, we examined how the Grain for Green Program (GGP), an ambitious reforestation program in China, affected ecosystem services. We quantified regulating services and provisioning service in the potential scenarios, which were developed to improve ecosystem services better. The results indicated the GGP drove 14.5% of land-use/land-cover from 2000 to 2015, and all the regulating services increased. Prioritizing reforestations in steep-sloped and riparian farmlands can promote flood mitigation, water purification, and soil retention services by 62.7%, 25.5%, and 216.1% as compared with 2015 levels, respectively, suggesting that the improvements strongly depend on afforestation locations. Driven by the new GGP policy, a high proportion of economic forest increased provisioning service (272.2%), but at the expense of decreases in soil retention (−25.1%), flood mitigation (−11.4%), water purification (−36.6%), and carbon storage (−48.5%). We identified a suitable scenario that would reduce the trade-offs, which associated with afforestation types and their spatial allocation. Identifying priority areas of afforestation types can inform the GGP policy to assure sustainable and broader benefits.

ACS Style

Xiufen Li; Yichen Tian; Tian Gao; Lei Jin; Shuangtian Li; Dan Zhao; Xiao Zheng; Lizhong Yu; Jiaojun Zhu. Trade-Offs Analysis of Ecosystem Services for the Grain for Green Program: Informing Reforestation Decisions in a Mountainous Headwater Region, Northeast China. Sustainability 2020, 12, 4762 .

AMA Style

Xiufen Li, Yichen Tian, Tian Gao, Lei Jin, Shuangtian Li, Dan Zhao, Xiao Zheng, Lizhong Yu, Jiaojun Zhu. Trade-Offs Analysis of Ecosystem Services for the Grain for Green Program: Informing Reforestation Decisions in a Mountainous Headwater Region, Northeast China. Sustainability. 2020; 12 (11):4762.

Chicago/Turabian Style

Xiufen Li; Yichen Tian; Tian Gao; Lei Jin; Shuangtian Li; Dan Zhao; Xiao Zheng; Lizhong Yu; Jiaojun Zhu. 2020. "Trade-Offs Analysis of Ecosystem Services for the Grain for Green Program: Informing Reforestation Decisions in a Mountainous Headwater Region, Northeast China." Sustainability 12, no. 11: 4762.

Articles
Published: 07 November 2019 in International Journal of Remote Sensing
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Remote sensing (RS)-assisted estimates of forest carbon stocks are essential for modelling carbon budgets at large scales. Research on the dynamic variations in forest biomass and carbon stocks is important to improve the sustainable use of forest resources and understand forest carbon budgets in China. The Honghuaerji region of the Inner Mongolia Autonomous Region is where Pinus sylvestris var. mongolica Litv. (MP) originated. MP forests contained the most important coniferous silvicultural tree species and were later introduced to the desert regions of northern China. However, there has been very little research on carbon stocks (vegetation and soil carbon) over time in the original MP forests. Our goal was to estimate the changes in the carbon stocks of the natural MP forests in the Honghuaerji region using a 40-year RS time series, forest survey data and laboratory data. First, we mapped MP forests and estimated forest ages based on Key Hole 9 and Landsat time series stacks from 1975 to 2015, and the estimated forest ages were shown to be consistent with the surveyed tree ages with a coefficient of determination (R2) of 0.96. Second, fifteen vegetation indices were evaluated as indicators of diameter at breast height (DBH). Of these, tasselled cap greenness provided the best relationships, and an RS-based DBH equation was constructed with an R2 of 0.65. Third, the carbon densities in the different ages of MP forests were obtained at regional scales. Finally, the dynamics of the carbon stocks in the natural MP forest ecosystem (including stems, branches, leaves, roots and soils) over 40 years were obtained. The results of this study indicated that the total MP forest ecosystem carbon stocks increased significantly from 7.36 ± 1.92 Tg C in 1975 to 11.52 ± 2.51 Tg C in 2015 at a rate of 1.42% year–1, among which vegetation carbon stocks increased 5.54% year–1 and soil carbon stocks increased 0.45% year–1. The results reveal a notable carbon increase in the MP forests in the Honghuaerji region over the past four decades and provide information on the role of natural forest conservation and management in China in mitigating global climate change.

ACS Style

Xiufen Li; Yicheng Tian; Xiao Zheng; Junxia Cong; Lining Song. Characterizing 40 years of naturalPinus sylvestrisvar.mongolicacarbon stocks in Northeast China using stand age from remote sensing time series. International Journal of Remote Sensing 2019, 41, 2391 -2409.

AMA Style

Xiufen Li, Yicheng Tian, Xiao Zheng, Junxia Cong, Lining Song. Characterizing 40 years of naturalPinus sylvestrisvar.mongolicacarbon stocks in Northeast China using stand age from remote sensing time series. International Journal of Remote Sensing. 2019; 41 (6):2391-2409.

Chicago/Turabian Style

Xiufen Li; Yicheng Tian; Xiao Zheng; Junxia Cong; Lining Song. 2019. "Characterizing 40 years of naturalPinus sylvestrisvar.mongolicacarbon stocks in Northeast China using stand age from remote sensing time series." International Journal of Remote Sensing 41, no. 6: 2391-2409.

Journal article
Published: 01 January 2017 in Silva Fennica
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ACS Style

Chunyu Zhu; Jiaojun Zhu; Xiao Zheng; Deliang Lu; Xiufen Li. Comparison of gap formation and distribution pattern induced by wind/snowstorm and flood in a temperate secondary forest ecosystem, Northeast China. Silva Fennica 2017, 51, 1 .

AMA Style

Chunyu Zhu, Jiaojun Zhu, Xiao Zheng, Deliang Lu, Xiufen Li. Comparison of gap formation and distribution pattern induced by wind/snowstorm and flood in a temperate secondary forest ecosystem, Northeast China. Silva Fennica. 2017; 51 (5):1.

Chicago/Turabian Style

Chunyu Zhu; Jiaojun Zhu; Xiao Zheng; Deliang Lu; Xiufen Li. 2017. "Comparison of gap formation and distribution pattern induced by wind/snowstorm and flood in a temperate secondary forest ecosystem, Northeast China." Silva Fennica 51, no. 5: 1.