Yu Tian

Background and Objectives: China’s natural forest conservation policy impacts community livelihoods, with farmers’ policy awareness being a key determinant of conservation effectiveness. However, research gaps remain regarding how this policy shapes farmers’ perceptions of livelihood capital drivers and influences their willingness to participate in sustainable forest management. With this study, we aim to quantify the relationship between livelihood capital and farmers’ policy awareness, providing scientific evidence for formulating more effective sustainable policies. Materials and Methods: Using household survey data, we conducted empirical analysis on 498 randomly sampled households from nine villages in Menghai County and Changting County. Generalized ordered logit and binary logistic regression models were employed to examine the impact of multidimensional livelihood capital on policy awareness levels. Results: Our findings indicate heterogeneous effects of livelihood capital. Conclusions: Policymakers should prioritize targeted interventions to enhance the effectiveness of natural forest conservation policies by moving away from a one-size-fits-all approach. Research Highlights and Significance: This study reveals that livelihood capital across different dimensions exerts complex and inconsistent effects on farmers’ policy cognition. Through comparative analysis of two representative regions in China, this study provides empirical evidence for this core finding from both ecological and economic perspectives. The results further offer precise policy implications for enhancing forest conservation policy effectiveness by optimizing livelihood capital structures.

Human settlements’ suitability in ecologically fragile regions is critical for sustainable development and ecological security. However, comprehensive assessments that integrate multiple natural environmental factors are insufficient. Here, we establish a human settlements suitability index (HSI) to assess human settlements’ suitability on the Qinghai–Tibet Plateau, including Relief Degree of Land Surface (RDLS), Temperature–Humidity Index (THI), Land Surface Water Abundance Index (LSWAI), and Land Cover Index (LCI). The results show that: (1) The RDLS of the Qinghai–Tibet Plateau was generally high, reflecting elevated terrain and steep topography, with strong regional variation. THI increases from the northwest arid region to the southeast, while high LSWAI and LCI were concentrated and show a zonal distribution. (2) The HSI ranged from 0.07 to 1, with seven suitability types. Low-suitability was distributed in the Kunlun, Gangdise, Himalayas, and the northern and southern parts of the Tibetan valleys. Mid-suitability appeared in the Sichuan–Tibet Alpine Canyon, while high-suitability was concentrated in the northeast (Qaidam Basin, Qilian, Hengduan Mountains), the west (Menyu), and the Qaidam Basin. (3) Low-suitability covered over 70% of the Qinghai–Tibet Plateau but hosts only 20% of the population. Mid-suitability occupied about 20% of the land, yet contained nearly 70% of the population. High-suitability (HSI > 0.7) areas were limited but concentrated populations in the Qaidam Basin, southern Tibetan valleys, and eastern Sichuan–Tibet Alpine Valleys. Future development should target these high-suitability regions to support sustainable population growth and reduce land pressure. These findings provide a scientific basis for regional planning, population distribution, and ecological security on the Qinghai–Tibet Plateau.

In response to climate change, the reduction of carbon emissions during agricultural production has garnered increasing global focus. This study takes high-standard farmland construction (HSFC) implemented in 2011 as the standard natural experiment and adopts the continuous differences-in-differences (DID) model to explore the impact and internal mechanism of HSFC on agricultural carbon emissions based on a panel data of 31 provinces, municipalities, and autonomous regions in China from 2003 to 2021. The results show that HSFC can effectively reduce the carbon emissions in agricultural production, and the average annual reduction can reach 53.8%. The effects of HSFC on agriculture carbon emissions could be associated with reducing agricultural fossil energy consumption and reducing agricultural chemical use. Further, the heterogeneity study shows that the carbon reduction effect of HSFC was mainly reflected in non-major grain-producing areas, while there was no significant impact in major grain-producing areas. Policymakers should unswervingly continue to promote HSFC, considering their own economic and geographical conditions. This study can provide valuable information and references for developing countries similar to China to formulate policies on agricultural carbon reduction.