The deterioration of grassland ecology is threatening the livelihood of herdsmen and increasing their rates of poverty. This study aims to explore the characteristics of herdsmen’s livelihood and the impact of livelihood capital and environmental perception on livelihood strategy selection. Based on 453 herdsmen households in the Province of Gansu and Qinghai, five types of livelihood capital were measured under the sustainable livelihoods framework. The influence of herdsmen’s livelihood capital on their decisions regarding their livelihood strategies was evaluated in multiple logistic functions. Meanwhile, hierarchical regression analysis and grouping regression methods were used to explore the moderating effects of two dimensions of environmental perception: ecological consciousness and sense of responsibility. The following results were obtained: First, all types of livelihood capital have a significant influence on the livelihood diversification of herdsmen; second, the direction and strength of these effects differ among types of livelihood capital. Moreover, environmental perception played a negative moderating role in the relationship between herdsmen’s livelihood capital and livelihood strategies. Therefore, it is expected to introduce policies ensuring the development of herdsmen’s livelihood capital and improve their environmental cognition, which can help realize the coordinated economic and ecological development of grassland.

In the structural earthquake engineering, a single parameter is often not sufficient enough to depict the severity of ground motions, and it is thus necessary to use multiple ones. In this sense, the correlation among multiple parameters is generally considered as an importance issue. The conventional approach for developing the correlation is based on regression analysis, along with simple pair copula approaches proposed in recent years. In this study, an innovative mathematical technique—vine copula—is firstly introduced to develop the empirical model for the multivariate dependence of pseudospectral accelerations (PSAs), which are the most commonly used earthquake ground motion parameters. This advancement not only offers a more flexible way of describing nonlinear dependence among multivariate PSAs from the marginal distribution functions but also highlights the extreme dependence. The results can be conventionally acquired in the ground motion selection and seismic risk and loss assessment based on multivariate parameters.

Taking the Giant Panda National Park as an example, this paper uses factor analysis to measure residents’ financial awareness and mediating effect models to investigate the influence paths of community governance, financial awareness, and residents’ willingness to participate in the construction and development of national parks. Finally, it suggests potential solutions for national park development and biodiversity conservation. The results indicated that financial awareness and community governance levels had a positive effect on residents’ willingness to participate, and satisfaction with community governance played a significant partially mediating role in their financial awareness, which in turn influenced their level of willingness.

Agricultural trade, which involves the exchange of virtual water and land resources, can effectively regulate the allocation of resources among countries while enhancing the well-being of resource-rich and resource-poor nations. China’s animal products trade market concentration is greater, and the livestock industry consumes more water than other agricultural sectors. In order to alleviate the pressure on China’s domestic water and land resources and to ensure that Chinese residents have access to animal products, this article examines the trade situation and drivers of virtual water and land resources related to Chinese animal products trade. This study used the heat equivalent method to measure the virtual water and land flows of the import and export of beef, pork, and mutton from 1992 to 2018, which is followed by the gravity model to investigate the factors impacting China’s flow of virtual land and water related to livestock products trade. We found that the economic development and the agricultural resources of exporters, as well as China’s agricultural employment rates, have a stable beneficial impact on China’s livestock imports. The population of importing nations, China’s cultivated land area, and the livestock production index of importers and exporters have a positive impact on the export of livestock products from China. Our results remain robust following a series of additional tests.