Identifying the priority areas for enhancing the ecosystem services in hilly and mountainous areas of southern China

Tian, Jialing; Peng, Yu; Huang, Yong; Bai, Ting; Liu, Lian Lin; He, Xiaoao; Luo, Shiqian

doi:10.1007/s11629-021-6672-z

Cited by 10 publications

(3 citation statements)

References 34 publications

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“…Comprehensive KRD control projects were implemented in 100 countries, helping increase the AEH index in 2010 and 2015. There is a cause‐and‐effect system in ecosystem, which human activities exert a certain pressure on the environment, changing its structure or function (state), and responding to the changes through management strategies to restore Environmental structure and function (Jiao, 2019; Tian et al, 2022; Yue & Yang, 2022).…”

Section: Discussionmentioning

confidence: 99%

Dynamic assessment of restored ecosystem health based on pressure‐state‐response subsystem‐system model in a karst trough valley

Qiong,

Yongjun,

Yina

et al. 2023

Ecohydrology

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Limited soil and water resources in a sloping karst trough valley have negatively affected the local population and ecosystem health. A deeper understanding of karst ecosystem health and its driving mechanism are important for ecosystem management and restoration. In recent decades, the karst trough valley has been exposed to multiple threats from various natural and anthropogenic factors. Assessment of which is essential to understand the state of the karst ecosystem and to develop a suitable, scientifically proven management strategy. Based on the pressure‐state‐response‐subsystem‐system (PSR‐SS) model, the restored ecosystem health of karst trough valley was assessed from 2000 to 2015 at the grid scale. The principal component analysis (PCA) method was adopted to explore the factors driving ecosystem health change. It is found that from the years of 2000 to 2015, there was an improvement in ecosystem health in karst trough valley ecosystem. Land use analysis maps indicate a slight decrease in woodland and grassland and increase in cropland and urban buildup, and the Land coverage increased from 84.87% to 87.64%. The area of karst rock desertification decreased by 75.3 km2 from 2000 to 2015. The AEH indices of 0.27 (2000), 0.45 (2005), 0.46 (2010) and 0.68 (2015), which indicate moderate warning, pre‐warning, early warning and generally healthy, respectively. The 17 selected driving factors were grouped into two broad categories by PCA, one is national policy, and the other one is natural condition and local activities. National policy was to be found the most important influence on ecosystem health. Our findings emphasize the key role of government in ecosystem health change, which would give directions to the sustainable development of karst trough valley areas.

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Section: Discussionmentioning

confidence: 99%

Dynamic assessment of restored ecosystem health based on pressure‐state‐response subsystem‐system model in a karst trough valley

Qiong,

Yongjun,

Yina

et al. 2023

Ecohydrology

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“…Thus, achieving a balance between socioeconomic development and ecosystem health has become a universal and critical challenge, particularly for China (Lin and Christina, 2019). The Southern Hilly and Mountainous Region (SHMR) represents a crucial component of China's ecological security, playing a fundamental role in regulating local and even global climate, facilitating vegetation restoration, and conserving soil and water resources (Tian et al, 2022). However, due to the concentration of population, land resources in this region have been excessively exploited over an extended period.…”

Section: Introductionmentioning

confidence: 99%

“…Few studies have explored the spatial relationship between carbon emissions and ecosystem health. Coupling coordination means that two or more systems interact with each other or within the system and affect and restrict each other, and finally reach a benign interaction of coordinated development relationship, the basic premise of which is that there is a certain connection between the factors coupled with each other (Tian et al, 2022). In other words, carbon emission and ecosystem health form a closely related complex coupled system in the competition and cooperation of mutual support and mutual restriction.…”

Section: Introductionmentioning

confidence: 99%

Exploring coordinated development and its driving factors between carbon emission and ecosystem health in the southern hilly and mountainous region of China

Qu,

You,

Wang

et al. 2023

Front. Environ. Sci.

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Achieving “carbon neutrality” is an inevitable requirement for tackling global warming. As one of the national ecological barriers, the southern hilly and mountainous region (SHMR) shoulder the important mission of taking the lead in achieving “carbon peak” and “carbon neutrality”. Thus, it has important scientific significance to explore and analyze how to coordinate ecological development under the background of “double carbon action”, and it is a key step to ensure that the region achieves synergistic development of promoting economic development and improving ecosystem health. Therefore, in this study, we aimed to address these gaps by adopting a refined grid scale of 10 km × 10 km to explore the spatial-temporal distribution characteristics of carbon emissions and ecosystem health. Additionally, we established a coupling coordination model of carbon emissions intensity (CEI) and ecosystem health index (EHI) to assess the impact of natural and socio-economic factors on the coupling coordination degree (CCD) in different regions. Our findings are as follows: 1) In the SHMR region, the EHI exhibited a progressive development trend, with spatially increasing values from the south to the north. 2) The spatial discrepancy in CEI has been on the rise, which assumed an increase of 4.69 times, and with an increasingly pronounced pattern of spatial imbalance. Carbon emissions tend to concentrate more in the eastern and northern areas, while they are comparatively lower in the western and southern regions. 3) The R2 of geographical weighted regression model (GWR) is all above 0.8, and the CCD between CEI and EHI demonstrated a positive developmental state. However, most regions still displayed an imbalanced development, albeit with a slight increase in areas exhibiting a more balanced development state. 4) The driving forces of natural and socio-economic factors had a dual-factor and non-linear enhancement effect on the CCD. The influence of natural factors on CCD has gradually diminished, whereas the influence of socio-economic factors has progressively strengthened.

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Spatiotemporal evolution of ecosystem service value and topographic gradient effect in the Da-Xiao Liangshan Mountains in Sichuan Province, China

et al. 2023

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Identifying the priority areas for enhancing the ecosystem services in hilly and mountainous areas of southern China

Cited by 10 publications

References 34 publications

Dynamic assessment of restored ecosystem health based on pressure‐state‐response subsystem‐system model in a karst trough valley

Dynamic assessment of restored ecosystem health based on pressure‐state‐response subsystem‐system model in a karst trough valley

Exploring coordinated development and its driving factors between carbon emission and ecosystem health in the southern hilly and mountainous region of China

Spatiotemporal evolution of ecosystem service value and topographic gradient effect in the Da-Xiao Liangshan Mountains in Sichuan Province, China

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