Global change, population growth, and urbanization have been exerting a severe influence on the environment, including the social system and ecosystem. To find solutions based on nature, clarifying the complicated mechanisms and feedback among land use/land cover changes, ecosystem services, and human well-being, is increasingly crucial. However, the in-depth linkages among these three elements have not been clearly and systematically illustrated, present research paths have not been summarized well, and the future research trends on this topic have not been reasonably discussed. In this sense, the purpose of this paper is to provide an insight into how land use/land cover changes, ecosystem services, and human well-being are linked, as well as their relationships, interacting ways, applications in solving ecological and socioeconomic problems, and to reveal their future research trends. Here, we use a systematic literature review of the peer-reviewed literature to conclude the state of the art and the progress, emphasize the hotspot, and reveal the future trend of the nexus among the three aspects. Results show that (1) ecosystem services are generally altered by the changes in land use type, spatial pattern, and intensity; (2) the nexus among land use change, ecosystem services, and human well-being is usually used for supporting poverty alleviation, ecosystem health, biodiversity conservation, and sustainable development; (3) future research on land use/land cover changes, ecosystem services, and human well-being should mainly focus on strengthening multiscale correlation, driving force analysis, the correlation among different group characteristics, land use types and ecosystem service preferences, and the impact of climate change on ecosystem services and human well-being. This study provides an enhanced understanding of the nexus among the three aspects and a reference for future studies to mitigate the relevant problems.

Due to the differences in the contributions of land use types to ecosystem health and human wellbeing, there is a trade-off and a coordinating relationship between ecosystem health and human wellbeing, which affects the sustainable development of a river basin. To explore the impacts of the responses of ecosystem health and human wellbeing and the combined effects under land use change, this paper, taking the Manas River Basin (MRB) as an example, evaluated the health status of the MRB by the model: Vitality (V), organization (O), resilience (R), and services (S). From a sustainability perspective, an index system of human wellbeing was constructed, which included society and the economy, health and safety, materials and resources, and ecology and the environment. On this basis, the coupling coordination relationship and sustainable development status of the basin was assessed. The results showed that as land use changed, the ecosystem health showed a downward trend, and human wellbeing grew exponentially. The sustainable development index and the coupling coordination degree of the MRB were similar, indicating that the level of balance between ecosystem health and human wellbeing was the key to the sustainable development of the basin, and the overall situation was in a state of moderate imbalance and moderate unsustainability. Therefore, it is necessary to carry out sustainable management of the whole basin.

The electric power industry is one of the major industries in terms of carbon dioxide (CO₂) emissions, and it is necessary to explore low-carbon green power generation models. In recent years, more research has focused on the difference in carbon emissions in fossil energy versus renewable energy but ignored the impact of energy on human well-being. The life cycle assessment (LCA) method is a better method for assessing the impact of the low-carbon model on human well-being. In this paper, the carbon footprints of coal power plants and photovoltaic power (PV) plants generating 1 Kilowatt hour (kWh) of electricity are compared to analyze the degree of carbon emissions at different stages of the two models, and the environmental impact potential of the two models is analyzed using the LCA method. The differences between the two models in terms of human well-being were analyzed through questionnaires and quantified using the hierarchical analysis method. The impact of the different models on human well-being was compared using LCA method. The results of the study were as follows: the total CO₂ emissions from coal-fired power generation at the 1 kWh standard were 973.38 g, while the total CO₂ emissions from PV power generation were 91.95 g, and the carbon emission intensity of coal-fired power plants was higher than that of PV power plants. The global warming potential and eutrophication potential of coal-fired power plants were higher than those of PV power plants, and the rest of the indicators were lower than those of PV power plants. The composite human well-being index of PV power plants was 0.613 higher than that of coal-fired power plants at 0.561. The per capita income–global warming potential of PV power plants was higher than that of coal-fired power plants, indicating that PV power plants were a low carbon-emission and high well-being model. In conclusion, the PV power plant model is a low-carbon and high human well-being industrial model that is worthy of application in the Qilian Mountains region. The low-carbon industrial model proposed in this study can have a positive effect on regional ecological environmental protection and human well-being enhancement.

The detrimental effects of climate change require countries and regions to use green and low-carbon strategies as the basis for economic development. Agriculture and livestock industry have become among the main industries that emit greenhouse gases. Yongchang County is suitable for the development of large-scale livestock operations due to its unique geographical advantages. However, the potential effects of the carbon dioxide emissions and the environmental impact potential of various farming and animal husbandry farming models on human well-being need to be considered. The purpose of this paper is to use life cycle assessment (LCA) to comprehensively assess the carbon emissions and environmental impact of circular agriculture and livestock industry and to provide important decision support for the establishment of a low-carbon circular agriculture and animal husbandry model. It uses a 75 kg dairy sheep as a functional unit to combine a noncircular farming model (S1) and a circular farming model (S2). The degree of carbon emissions, environmental impact potential and human well-being environmental effects are compared. The results show that the carbon dioxide emission of S1 is 891.3 kg, while the emission of S2 is 647.3 kg, and the difference between the two is 244 kg. S2 has a lower global warming potential than the S1 model; hence, the S2 model, which uses biogas for power, has lower carbon emission than the S1 model. From the perspective of human well-being and environmental benefits, the S2 model of biogas power generation is a low carbon emission and high-benefit model. The biogas power generation model lays the foundation for the realization of the “peak carbon dioxide emissions” and “carbon neutralization” goal, strengthens ecological protection on the north side of the Qilian Mountains and improves human well-being in the region.

Ecosystem services (ESs) are a multiple whole composed of multiple services and their multiple relations, which can be expressed as tensors (multiple functions of multiple vectors). This study attempts to introduce the concept and method of tensors into ES research to solve problems caused by the multiplicity of ESs, such as multiple descriptions and perceptions of ESs, repeated calculation of ES values, and cascading relationships with the social economy. Taking the Manas River Basin composite ecosystem as an example, we constructed five different types of ES tensors based on different understandings and applications: (1) As multiple vectors, three eigenvectors were extracted from the ES state tensor (ESST), including farmland service (FS), vegetation service (VS) and water service (WS). According to the ES response tensor (ESRT), an increase in FS may lead to a decline in overall services. (2) As multiple functions, the ES value (ESV) of the basin was measured by the ESV metric tensor (ESVMT), with a gross value of 14.8 billion USD and a net value of 10.17 billion USD. From different stakeholders perceptions constructed by the ecosystem services to human well-beings (ES-HW) tensor, the human well-being values (HWV) were ranked as citizens > farmers ≈ herdsmen > public. (3) The HWV output efficiency of different LULC per unit of water use was calculated by a fourth-order mixed tensor constructed by water–LULC–ES–HW multiple cascading relations. Among them, the HWV efficiency of water areas and wetlands was the highest, but the area was the smallest. Cultivated land and unused land had the lowest HWV efficiency and largest area. In general, the ES tensor is the extension and integration of the ES scalars/indicators to the ES vectors/bundles, which can provide tools for the integral expression, objective measurement and multiple perceptions of ESs.