Quantifying the impact of the Grain-for-Green Program on ecosystem service scarcity value in Qinghai, China

Hu, Yu‐Chi; Zhang, Shidong; Shi, Yu; Guo, Luo

doi:10.1038/s41598-023-29937-7

Cited by 10 publications

(3 citation statements)

References 68 publications

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“…The slope is vital for surface vegetation material exchange and energy flow, significantly impacting vegetation growth and distribution. A study claims that China's program "Grain for Green" is primarily implemented on slopes higher than 8 • , which may help to explain why MO and ST are the predominant terrains showing slight improvement [61].…”

Section: Driving Mechanisms Of Vegetation Changementioning

confidence: 99%

Normal Difference Vegetation Index Simulation and Driving Analysis of the Tibetan Plateau Based on Deep Learning Algorithms

Liu,

Du,

et al. 2024

Forests

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Global climate warming has profoundly affected terrestrial ecosystems. The Tibetan Plateau (TP) is an ecologically vulnerable region that emerged as an ideal place for investigating the mechanisms of vegetation response to climate change. In this study, we constructed an annual synthetic NDVI dataset with 500 m resolution based on MOD13A1 products from 2000 to 2021, which were extracted by the Google Earth Engine (GEE) and processed by the Kalman filter. Furthermore, considering topographic and climatic factors, a thorough analysis was conducted to ascertain the causes and effects of the NDVI’s spatiotemporal variations on the TP. The main findings are: (1) The vegetation coverage on the TP has been growing slowly over the past 22 years at a rate of 0.0134/10a, with a notable heterogeneity due to its topography and climate conditions. (2) During the study period, the TP generally showed a “warming and humidification” trend. The influence of human activities on vegetation growth has exhibited a favorable trajectory, with a notable acceleration observed since 2011. (3) The primary factor influencing NDVI in the southeastern and western regions of the TP was the increasing temperature. Conversely, vegetation in the northeastern and central regions was mostly regulated by precipitation. (4) Combined with the principal component analysis, a PCA-CNN-LSTM (PCL) model demonstrated significant superiority in modeling NDVI sequences on the Tibetan Plateau. Understanding the results of this paper is important for the sustainable development and the formulation of ecological policies on the Tibetan Plateau.

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Section: Driving Mechanisms Of Vegetation Changementioning

confidence: 99%

Normal Difference Vegetation Index Simulation and Driving Analysis of the Tibetan Plateau Based on Deep Learning Algorithms

Liu,

Du,

et al. 2024

Forests

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“…As an important assessment indicator of ecosystem service function, the change of ESV value quantity characterizes to some extent the degree of impact of human activities on ecosystem 59 . The cross-sensitivity coefficient between land use change and ESV can quantitatively assess the degree and direction of the impact of land use transition on the ESV with a certain degree of credibility [60][61][62] .…”

Section: Uncertainty and Prospectsmentioning

confidence: 99%

Cross-sensitivity Analysis of Land Use Transition and Ecological Service Values in Rare Earth Mining Areas in Southern China

Zhu,

Chen,

Wan

et al. 2023

Preprint

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Rare earth resources are important national strategic resources, and the mining process will change the original land use types, and it will have a certain impact on the ecosystem service values around the rare earth mining areas. To study the impact of land use changes on ecosystem service functions in rare earth mining areas, firstly, the land use change trends in the study area from 2009 to 2019 were analyzed using the land transfer matrix; then the distribution of ecosystem service values and the flow direction of ecosystem service values in the study area were measured based on the ecosystem service value equivalents; a spatial autocorrelation analysis was done on the ecosystem service values to explore their spatial distribution patterns; and finally, the cross-sensitivity coefficient was used to quantitatively assess the impact of land use changes on ecosystem service, the cross-sensitivity coefficient was used to quantitatively assess the extent and direction of the impact of land use change on ecosystem service values. The results show that the land use types in the study area are mainly forest land and farmland, with woodland accounting for the highest proportion of the study area. The ESV changes in the study area are consistent with the trend of land use transformation, with the overall increase and decrease being comparable, and the decrease in ESV is mainly concentrated in the areas with a large increase in mining land and construction land; during the study period, the study area was significantly reduced with low - low aggregation areas and the ecological environment was improved; from 2009 to 2011, the ecological sensitivity coefficient is more variable, and is more sensitive to the net conversion between water and desert, from 2014 to 2019, the ecological sensitivity coefficient is less variable, and the most sensitive is the net conversion between cultivated land and water. The study area should be reasonably developed for rare earth resources and the ecological environment around the mining area should be reasonably protected to build an ecological security pattern.

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“…The assessment of ecosystem service values to fully understand the linkages between regions, evaluate the effectiveness of ecological restoration, and accurately describe the overall state of ecosystem operation is an important method to enhance the justi cation and planning of ecological restoration measures. In recent years, this method has received extensive attention, relative research also increased (Ouyang et al 2016;Hu et al 2023). Ecosystem service valuation helps environmentalists and the global environmental community to propose policies to reduce the negative impacts of development activities on global ecosystems (Priskin 2001).…”

Section: Introductionmentioning

confidence: 99%

Impact of Watershed Ecological Restoration on The Value of Ecosystem Services: a Case of The Ling River Basin in China

Sun

Tian

Mao

et al. 2023

Preprint

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Since the theory of sustainable development was proposed, large-scale ecological restoration projects have improved the quality and flow of ecosystem services. The primary issue that needs to be addressed in the next phase of ecological restoration decisions is how to further improve the conservation efficiency of ecological restoration projects. Evaluating the value of ecosystem services helps recognize the links between regions and assess the effectiveness of ecological restoration. By describing the general condition of ecosystem operation, we can strengthen the argumentation and planning of ecological restoration measures. Watershed-scale ecological restoration project is an essential part of spatial ecological restoration in China. However, the valuation of ecosystem services at the watershed scale has rarely been studied compared to the restoration scale. This paper selects the Ling River Basin, a key implementation area for ecological restoration projects in Chinese watersheds, as the study area. The important ecological restoration projects during the 40 years from 1980 to 2020 are reviewed. Landsat TM/ETM remote sensing images were used as the primary data source and generated by manual visual interpretation. The value of 11 ecosystem service functions was calculated using the unit area equivalent factor method, and the impact of watershed ecological restoration on ecosystem services was analyzed. The results show that: (1) The value of ecosystem services in the Ling River Basin showed a trend of "first decreasing then increasing" from 1980 to 2020; (2) the value of ecosystem services in the Ling River Basin increased by 9.74 billion yuan in 40 years; (3) Grassland area decreased the most from 1980 to 2020, by 3550.53 km2 (-55%), mainly concentrated in 2005-2010, with a decrease of 3527.24 km2 (-54.8%) in 5 years; arable land area decreased the second most, compared with the largest arable land area in 1990 decreased by 525.95 km2 (-5%); (4) The ecological restoration project in the Ling River basin has the greatest impact on the regulating services, with a change of 36.9%, mainly affecting the hydrological regulating function. This is followed by cultural services, with a change of 35.1%, mainly due to the increase in cultural values brought about by the increase in watershed and woodland areas. The impact on support services is relatively small, with a change of 25.7%. The lowest impact on supply services, with a change of 11.8%, mainly affects water supply capacity; (5) Food production value showed an opposite trend to the other ten ESV changes; (6) Hydrological regulation, climate regulation, and soil conservation are important ecosystem service functions in the Ling River basin, contributing more than 65% of the annual ecosystem service value; (7) Ecological restoration measures in the Ling River basin have a positive impact on ecosystem service value.

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Quantifying the impact of the Grain-for-Green Program on ecosystem service scarcity value in Qinghai, China

Cited by 10 publications

References 68 publications

Normal Difference Vegetation Index Simulation and Driving Analysis of the Tibetan Plateau Based on Deep Learning Algorithms

Normal Difference Vegetation Index Simulation and Driving Analysis of the Tibetan Plateau Based on Deep Learning Algorithms

Cross-sensitivity Analysis of Land Use Transition and Ecological Service Values in Rare Earth Mining Areas in Southern China

Impact of Watershed Ecological Restoration on The Value of Ecosystem Services: a Case of The Ling River Basin in China

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