The rampant COVID-19 pandemic swept the globe rapidly in 2020, causing a tremendous impact on human health and the global economy. This pandemic has stimulated an explosive increase of related studies in various disciplines, including geography, which has contributed to pandemic mitigation with a unique spatiotemporal perspective. Reviewing relevant research has implications for understanding the contribution of geography to COVID-19 research. The sheer volume of publications, however, makes the review work more challenging. Here we use the support vector machine and term frequency-inverse document frequency algorithm to identify geographical studies and bibliometrics to discover primary research themes, accelerating the systematic review of COVID-19 geographical research. We confirmed 1,171 geographical papers about COVID-19 published from 1 January 2020 to 31 December 2021, of which a large proportion are in the areas of geographic information systems (GIS) and human geography. We identified four main research themes—the spread of the pandemic, social management, public behavior, and impacts of the pandemic—embodying the contribution of geography. Our findings show the feasibility of machine learning methods in reviewing large-scale literature and highlight the value of geography in the fight against COVID-19. This review could provide references for decision makers to formulate policies combined with spatial thinking and for scholars to find future research directions in which they can strengthen collaboration with geographers.

The economic contribution of forest resources to the communities surrounding nature reserves cannot be ignored. The method for which to find a forest resource utilization path to balance the contradiction between local farmers’ economic development and ecological protection in the development of nature reserves is important. However, little attention has been given to the effect of forest resource users’ behavioral preferences on forest resource utilization. This study selected Wolong Nature Reserve as a case study and randomly interviewed different stakeholders with semi-structured questionnaires to investigate the differences in forest resource utilization patterns among stakeholders with different behavioral preferences. According to the results of multi-attribute decision analysis with behavioral preference, stakeholders form different behavioral preferences by judging their own resource endowment. With a change of in the behavioral preference value λ, when the behavioral preference of stakeholders is more pessimistic (λ = 0.1), cautious (λ = 0.3), or neutral (λ = 0.5), they are more inclined to choose the economically dominant forest resource utilization mode; when the behavioral preference of stakeholders is optimistic (λ = 0.7) or even radical (λ = 0.9), they choose the eco-economic or eco-dominant forest resource utilization mode, respectively. This study confirms that stakeholders’ behavioral preferences have an important impact on forest resource utilization patterns. Therefore, policy making should focus on improving the economic benefits of forest resources and providing alternative livelihoods, which will change the resource endowment of the stakeholders of nature reserve, guide them to turn to relatively optimistic behavioral preferences, enhance their awareness and motivation of ecological protection, and thereby improve forest conservation outcomes.