Based on the pilot ecosystem analysis of Qianjiangyuan National Park, the ecosystem services function value index system was determined; multiple methods such as market value method and shadow engineering method were used to evaluate the four major categories in the years 2005, 2010, 2015, and 2018 of the ecological services of Qianjiangyuan national park which are provision, regulation, culture, and support. Results show that the total value of the pilot ecosystem services in Qianjiangyuan national park had increased to 7430.11 × 10⁶ yuan, 9128.41 × 10⁶ yuan, 12,718.38 × 10⁶ yuan, and 15,539.99 × 10⁶ yuan for each category respectively. The regulation category has always been the core ecosystem services function in the national park, accounting for more than 40% of the value of the total services. The increase in the value of ecosystem services in the park was due to the implementation of ecological measures such as logging bans and people paying more attention to environmental protection.

Fractional vegetation cover (FVC) is an important indicator of ecosystem changes. Both satellite remote sensing and ground measurements are common methods for estimating FVC. However, desert vegetation grows sparsely and scantly and spreads widely in desert regions, making it challenging to accurately estimate its vegetation cover using satellite data. In this study, we used RGB images from two periods: images from 2006 captured with a small, light manned aircraft with a resolution of 0.1 m and images from 2019 captured with an unmanned aerial vehicle (UAV) with a resolution of 0.02 m. Three pixel-based machine learning algorithms, namely gradient enhancement decision tree (GBDT), k-nearest neighbor (KNN) and random forest (RF), were used to classify the main vegetation (woody and grass species) and calculate the coverage. An independent data set was used to evaluate the accuracy of the algorithms. Overall accuracies of GBDT, KNN and RF for 2006 image classification were 0.9140, 0.9190 and 0.9478, respectively, with RF achieving the best classification results. Overall accuracies of GBDT, KNN and RF for 2019 images were 0.8466, 0.8627 and 0.8569, respectively, with the KNN algorithm achieving the best results for vegetation cover classification. The vegetation coverage in the study area changed significantly from 2006 to 2019, with an increase in grass coverage from 15.47 ± 1.49% to 27.90 ± 2.79%. The results show that RGB images are suitable for mapping FVC. Determining the best spatial resolution for different vegetation features may make estimation of desert vegetation coverage more accurate. Vegetation cover changes are also important in terms of understanding the evolution of desert ecosystems.

Considering the notion that “lucid waters and lush mountains are invaluable assets”, the effective exploitation of the economic value of forest resources is an important research topic, especially in forest-rich areas. The development of the non-timber forest products (NTFPs) industry has promoted both ecological and economic benefits and has effectively improved farmers’ incomes while protecting forest resources. In order to evaluate the effects of the NTFPs industry on sustaining farmers’ livelihoods and protecting ecological environments, we constructed a performance evaluation index system to determine the poverty alleviation performance of the NTFPs industry in Yunnan Province using the analytic hierarchy process (AHP), which covered three aspects: the achievement of poverty alleviation, the sustainability of poverty alleviation and satisfaction with poverty alleviation. Then, we selected Sanhe Village in Nujiang Prefecture, Yunnan Province, as an example to verify and rationalize the evaluation index system and comprehensively evaluate the poverty alleviation performance of the NTFPs industry. Based on data from questionnaires and field interviews, we found the following: (1) the overall poverty alleviation performance of the NTFPs industry in Sanhe Village was 79.33, which indicated that the effect was good; (2) the scores for the achievement of poverty alleviation, the sustainability of poverty alleviation and satisfaction with poverty alleviation were 50.56, 18.57 and 10.2, respectively; (3) there were some problems with the poverty alleviation performance of the NTFPs industry, such as limited capital investments, the weak roles of cooperatives and enterprises, the low enthusiasm of lower-income households and incomplete poverty alleviation projects. Finally, we devised some suggestions that could improve the poverty alleviation performance of the NTFPs industry. This paper presents the performance evaluation index system for the poverty alleviation performance of the NTFPs industry, which could provide a reference for evaluating the developmental effects of the NTFPs industry in other lower-income forest areas. Through our empirical analysis of the development effects of the NTFPs industry on farmers’ livelihoods and ecological environments in Sanhe Village, we found that the development of the NTFPs industry significantly improved the farmers’ livelihoods and ecological environments.

Agroforestry has gained increasing attention as a sustainable land use mode to ensure food security, mitigate global climate change, and improve farmers’ livelihoods. Likewise, agroforestry plays a key role in alleviating poverty, mitigating climate change and achieving the Sustainable Development Goals (SDGs) in China. Lanxangia tsaoko, as a typical agroforestry species in Nujiang Prefecture, plays a vital role in improving farmers’ livelihoods. After years of development, the Lanxangia tsaoko industry (LTI) in Nujiang Prefecture has made remarkable achievements and accumulated useful experiences. Taking the development of LTI as an example, this paper analyzes the impact of agroforestry on farmers’ livelihoods and its mechanism through field survey and theoretical deduction. First, by investigating the willingness of households to choose LTI, we found that most farmers have a positive attitude toward LTI, and they actively participate in cooperative organizations. Then, by analyzing the development stage and mode of LTI in Nujiang Prefecture, we found that the industry has made significant progress under the external and internal effects. We also found that the mechanism by which agroforestry affects farmers’ livelihoods is a process in which various stakeholders, including government, enterprises, farmers, etc., participate in industrial development with their production components and advantages. Although agroforestry is an effective way to improve farmers’ livelihoods and promote sustainable agricultural development, it is also necessary to pay attention to risk prevention. This paper discusses the role of agroforestry in farmers’ livelihoods, which provides a reference for lower-income forest areas.

Vegetation suitability assessment is the premise of scientific vegetation restoration and identifying its effect factors is conducive to imposing more targeted measures. In this paper, we take 24 social-economic factors that may affect vegetation suitability as indicators and construct the three criterion layers of production, life and policy. Then, we use cross-sectional data of 448 counties in the Yellow River Basin during 2018 to analyze how the social-economic factors influence the vegetation suitability. The results show that human activity factors affecting vegetation suitability vary a lot for counties in different reaches of the Yellow River. To be specific, overirrigation and overfertilization have negative influences on vegetation suitability in upstream counties. In the middle reaches, development of the secondary industry and urbanization have the most significant negative effects on vegetation suitability. When it comes to the lower reaches, economic advance contributes to the vegetation suitability, but an excessive population density counteracts this positive effect. We also find that the implementation of major ecological projects has played a positive role in improving vegetation suitability in the last few years, and the more targeted the policies are, the more significant their effects will be. In summary, there is no doubt that overfrequent human activities can interfere with the vegetation suitability. At the end of this article, we put forward some pertinent suggestions on how to better play the subjective initiative of human activities to improve the suitability of vegetation.

Vegetation, serving as the primary constituent of terrestrial ecosystems, plays a crucial role in regulating energy flow and material cycles and providing vital resources for human socio-economic activities. This study analyzes the spatio-temporal patterns of economic density and vegetation coverage in the Yellow River Basin (YRB) based on forest resource inventory and socio-economic data from 448 counties in 2008, 2013, and 2018. A three-tiered criterion layer is constructed using economic density as the core explanatory variable, encompassing social development factors, land use factors, and natural factors. A two-way fixed effects model is then utilized to analyze the impact of economic density on vegetation coverage. Results reveal that: (1) Spatially, economic density demonstrates a “low in the west and high in the east” pattern, with an overall upward trend in the YRB. Conversely, vegetation cover exhibits a “high in the west and low in the east” pattern, displaying a downward trend. (2) Over the 2008–2018 period, a significant negative correlation between economic density and vegetation cover is observed in each county of the YRB, with vegetation cover decreasing by 1.108% for every 1 unit increase in economic density. Notably, the upstream areas of the YRB experience a significant increase in vegetation coverage, while the middle and lower reaches witness a decrease. (3) Considering control variables, the proportion of the primary industry, urbanization rate, forest protection level, and cultivated land area exert a significant influence on vegetation coverage across the entire basin. Policymakers should formulate relevant policies to achieve sustainable development in the YRB, as discussed in the proposed countermeasures. This study delineates a practical pathway for high-quality economic development and high-level ecological protection in the YRB, offering a valuable reference for analogous research in other regions.