Teff (Eragrostis tef (Zucc.) Trotter) is a staple, ancient food crop in Ethiopia. Its growth is affected by climate change, so it is essential to understand climatic effects on its habitat suitability in order to design countermeasures to ensure food security. Based on the four Representative Concentration Pathway emission scenarios (i.e., RCP2.6, RCP4.5, RCP6.0 and RCP8.5) set by the Intergovernmental Panel on Climate Change (IPCC), we predicted the potential distribution of teff under current and future scenarios using a maximum entropy model (Maxent). Eleven variables were selected out of 19, according to correlation analysis combined with their contribution rates to the distribution. Simulated accuracy results validated by the area under the curve (AUC) had strong predictability with values of 0.83–0.85 for current and RCP scenarios. Our results demonstrated that mean temperature in the coldest season, precipitation seasonality, precipitation in the cold season and slope are the dominant factors driving potential teff distribution. Proportions of suitable teff area, relative to the total study area were 58% in current climate condition, 58.8% in RCP2.6, 57.6% in RCP4.5, 59.2% in RCP6.0, and 57.4% in RCP8.5, respectively. We found that warmer conditions are correlated with decreased land suitability. As expected, bioclimatic variables related to temperature and precipitation were the best predictors for teff suitability. Additionally, there were geographic shifts in land suitability, which need to be accounted for when assessing overall susceptibility to climate change. The ability to adapt to climate change will be critical for Ethiopia’s agricultural strategy and food security. A robust climate model is necessary for developing primary adaptive strategies and policy to minimize the harmful impact of climate change on teff.

With the development of ecotourism, national park recreation research has evolved from a marginal branch of tourism studies into a vibrant interdisciplinary field. Although scholarly attention has grown, a systematic, holistic overview of its global development trajectory and knowledge structure remains lacking. To address this gap, this study presents a bibliometric analysis of national park recreation research published from 1994 to 2024, based on the Web of Science Core Collection. Using CiteSpace for scientometric visualization, we examine the field’s evolutionary phases, collaboration networks, thematic distributions, and emerging trends. Our results show that national park recreation research has progressed through three distinct stages: initial emergence, steady development, and rapid growth. Collaboration among individual researchers and institutions remains generally limited. Dominant research themes include spatial planning and zoning, ecological conservation, stakeholder engagement, cultural ecosystem services, and tourists’ pro-environmental behaviors. Building on these findings, we synthesize a comprehensive knowledge structure of this field and outline key future research priorities. This overview enables researchers to quickly grasp the field’s global research panorama and identify targeted thematic directions. We call for greater attention to understudied areas, including visitor social psychology, community participation, digital technology applications, and adaptive management in future studies.