• Energy Research

Exploring the sensitivity of rural households’ livelihood strategies to livelihood capital is of great significance for improving rural households’ livelihood levels. This paper selects 23 livelihood capital measurement indicators and conducts an in-depth survey of rural households. In addition, the entropy method and a weighted comprehensive model are used to explore the basic characteristics of rural households’ livelihood capital in the upper reaches of the Min River, China, in 2017. Furthermore, econometric models are used to analyze the sensitivity of rural households’ livelihood strategies to livelihood capital. As indicated from the research, the livelihood capital levels of different types of rural households in the study area are not equivalent. The types of rural households with different livelihood strategies can be ordered in terms of quantity as follows: non-agricultural type > non-agricultural dominant type > agricultural dominant type > pure agricultural type. Livelihood strategies have different sensitivities to different livelihood capital measurement indicators. Among these indicators, cash income, the number of relatives and friends available for financial assistance, and the number of civil servants have positive effects on the livelihood strategy selection of non-agricultural dominant rural households and non-agricultural rural households. However, the average age of laborers, area of cultivated land and gardens, number of livestock and poultry, and present value of production tools have negative effects. These evaluation results can provide a scientific decision-making basis for the formulation of poverty alleviation policies by relevant government departments.

With the expansion of the concept of sustainable development, it has become increasingly important to investigate the means for achieving sustainable eco-economic development. On the basis of Landsat imagery of Hengduan Mountain area of China acquired in 1990, 2000, and 2010, we analyzed the coordination relationships, evolution characteristics, and aggregation modes of the economy and ecology in this region using ecosystem service value (ESV) and ecological economic harmony (eco-economic harmony, EEH) models. The following results were obtained. (1) There was a significant transition in land cover, wherein grassland increased the most and farmland decreased the most, by 1.18 × 104 km2 and 9.41 × 103 km2, respectively. These trends were related to urban expansion and the implementation of ecological measures; (2) From 1990 to 2000, there was a deterioration in the ecological system, whereas after 2000, the ecosystem improved due to implementation of the Chinese government’s “Returning Farmland to Forest (Grassland)” scheme, thereby illustrating the importance of forest to ecosystem stability; (3) Spatially, the EEH index showed a dual-core structure centered on a low conflict zone and potential crisis zone, which signified that there was a trend of coordinated development between the economy and ecology; however, this was not stable; (4) There were four types of EEH evolution zones—low conflict, potential crisis, slight improvement, and significant improvement zones—of which the improvement zones accounted for 55.15% of the area, thereby indicating that over time the economy has played a positive role in shaping the ecological environment; (5) The spatial aggregation modes of EEH evolution were band coordinated mode, group uncoordinated mode and group improvement mode, which meant the relationship of ecology and economy was always in lowest coordinated state in a banded form, in uncoordinated state and a significant increase in a block form, respectively. These modes were intended to provide a reference for the sustainable development in southwest China.

Tourism has been experiencing a rapid increase in the developed world, especially in China, and resident perceptions toward tourism development have been receiving increasing attention. However, resident perceptions on a large scale and the associated affecting factors remain unknown. In this study, 63 independent samples across China were analyzed using structural equation modeling, and the effects of three factors of per capita gross domestic product (GDP), tourist receipts and length of tourism development from the perceptive of economy, society and culture, and environment were investigated. Residents demonstrated a positive attitude toward tourism development on a large scale across China. However, the resident perceptions were GDP-dependent, which indicated a lower awareness of infrastructure improvement with the increase in GDP. Meanwhile, residents became more aware of environmental deterioration and social-order disturbance with the increase in the length of tourism development and tourist receipts. In addition, tourist receipts and length of tourism development exerted indirect effects on other perceptions by affecting the perception of environmental deterioration and economic improvement. Our results implied that to minimize the effect of negative perception, attention should be paid to the optimization of the perceptions of economic improvement and environmental deterioration, and the protection of the residential environment should be viewed as a high-priority task in improving resident perceptions.

In the Koshi River Basin, the effects of climate change have become clear. Agricultural countries, such as Nepal, depend on farmers’ adaptations to climate change for local sustainable development. Limited livelihood options, unequal access to resources and information, and climate change-related floods and droughts have reduced farmer welfare. Few studies have investigated the effects of altitude in rural areas or examined livelihood adaptation strategies in Nepal. Using a survey of farmers in rural areas at high, middle, and low altitudes in Nepal, this article explores the impacts of climate change-related floods and droughts, as well as the water resource utilization, disaster resilience, and livelihood improvement ability of farmers and the influencing factors. This article adopted participatory rural appraisal to obtain survey data from farmers at three altitudes. Through one-way ANOVA and F-tests, farmers’ perceptions of floods and droughts were analyzed, and through field investigations, their production and water consumption patterns were established. Logistic regressions show that college education, farming income, and domestic water consumption have the strongest impacts on households’ disaster resilience, while non-farm income, male laborer rates, and college education have the strongest impacts on households’ abilities to improve livelihoods. Based on our results, we offer countermeasures and suggestions on education, gender equality, and rural infrastructure construction.

Due to the multiple impacts of landform effects, spatial heterogeneity and land use policies, farmland dynamics in mountainous areas are complicated. This study investigated farmland dynamics based on land use data from a typical mountainous area, Panxi, in China for 1990, 2000 and 2010, discussed the relationship between altitude, slope and farmland changes and presented an analysis of the driving forces of farmland change. Our findings are as follows: (1) from 1990 to 2010, the area of converted farmland was relatively small (313 km2), accounting for only 2.6% of the region’s farmland. Farmland was mainly converted to forest and grassland as a result of the Returning Farmland to Forest Program; (2) The spatial distribution of land use types differed significantly. The presence of water bodies influenced farmland and built-up land, while forest and grassland showed “landform-oriented” characteristics. Built-up land was especially variable in distribution, indicating that it was more vulnerable to human activities; (3) The vertical differentiation of farmland changes was obvious. At altitudes <2500 m, the data displayed a trend of conversion from forest to farmland, while at >2500 m, this trend reversed. Thus, 2500 m serves as an altitudinal boundary between farmland and forest in Panxi. The largest area of forest-farmland transfer occurred on slopes steeper than 15°, not 25°, as defined by China’s policy of Returning Farmland to Forest; (4) The driving forces of farmland changes varied. Decreases in farmland were negatively correlated with proximity to rivers and roads. Increases in farmland were positively related to temperature and negatively related to both population density and altitude.

Abstract Mountain forest ecosystems play an important role in global carbon sequestration and may respond differently to variations in climate. The timely and accurate assessment of the factors (abiotic and biotic) that affect forest types will improve our understanding of the ecological mechanisms underlying forest carbon stock and dynamics. Here, we used linear mixed effect models to assess the impact of abiotic and biotic factors on the rate of net tree C accumulation, growth, and mortality, over nearly four decades in 1248 permanent forest plots, in different forest types along an elevational gradient on the eastern Qinghai-Tibet Plateau in China. We found that the annual rise in net tree C stock ranged from 0.13 to 0.23 Mg C ha−1 yr−1, as forest growth increased from 1979 to 2017. The highest rates of growth and mortality were in coniferous broad-leaved mixed forest (CBMF), followed by deciduous broad-leaved forests (BDF), evergreen, deciduous broad-leaved mixed forest (EDBMF), and coniferous forest (CF). Mortality increased in EDBMF and CF during the study period. The most important biotic factors were tree richness and tree density, especially in BDF and CBMF. The most important abiotic factors driving these biological responses were a significant rise in monthly mean temperature (MMT) and a decline in precipitation in the growing season. The decrease in precipitation was negatively correlated with net tree C in CBMF and CF. The increase of MMT was positively correlated with growth and mortality of each forest type, and generally more important than richness and density, and overall had a positive effect on net tree C in CBMF and CF. Overall, we suggest that tree carbon stocks will continue to increase in CBMF and CF in the coming decades due to the warming.

China, as a non-Mediterranean country with non-Mediterranean climate, is taking olive cultivation as an important part of its agricultural development. In order to highlight some important facts about the history, status, distribution, and trends of the olive industry in China, we performed analyses based on Internet databases, online GIS software, and scientific papers. Results show that the olive industries have been concentrated in several key areas in Gansu, Sichuan, Yunnan, Chongqing, and Hubei. However, the business scope of olive enterprises is still narrow, the scale of enterprises is generally small, and individual or family management of farmers plays an important role. Thus, increased investment and policies are needed to enhance their capacities of R&D and production, and Chinese investigators should carry out socio-economic studies at the microcosmic level and take the initiative to innovate the products by cooperating with people in the same professions worldwide.

Extensive studies have demonstrated the restricting effect of past and present drought conditions on vegetation growth over the past three decades. However, the underlying mechanism of the impact of prior drought on vegetation growth - along with the magnitude of its impact over the rest of the 21st century - remains uncertain. Herein, we examined the evolution and characteristics of global vegetation growth and drought for both baseline (1982-2014) and future (2015-2100) periods under four representative pathways using the gross primary productivity (GPP) and the Standardized Precipitation Evapotranspiration Index from the CMIP6. Further, we investigated the time-lagged effects of drought on vegetation growth and the intensity of population and economy exposure to drought by identifying drought-threatened areas under four emission scenarios. The results show that, at the end of the 21st century, the global terrestrial GPP will experience an increasing trend under four scenarios, especially in SSP5-8.5, with a growth rate of 0.032 kg C m-2/decade, which is 10 times higher than that in SSP1-2.6. From the SSP1-2.6 to the SSP5-8.5 scenario, the SPEI change rates are -0.03, -0.01, -0.017, and -0.018/decade, respectively, indicating that the intensity of global drought events will rise with increases in CO2 emissions. 28.3%, 24.7%, 30.4%, and 35% of global land exhibit downward mean time-lagged months in four scenarios, especially in the middle-high latitudes of the northern hemisphere (>45°N), indicating an advanced response of vegetation to drought. Nearly 8, 9.1, 12.9, and 11.5 billion people - valued at 94,138 (SSP1-2.6), 976,020 (SSP2-4.5), 526,595 (SSP3-7.0), and 204,728 (SSP5-8.5) billion US$, respectively - will be threatened by continuous drought. Globally, the population and economy exposure to moderate and extreme drought zones is larger, and the economic risk from extreme droughts is 8 times greater under the high emissions scenario than the low emissions scenario.