Invasive weeds are a serious problem worldwide, threatening biodiversity and damaging economies. Modeling potential distributions of invasive weeds can prioritize locations for monitoring and control efforts, increasing management efficiency. Forecasts of invasion risk at regional to continental scales are enabled by readily available downscaled climate surfaces together with an increasing number of digitized and georeferenced species occurrence records and species distribution modeling techniques. However, predictions at a finer scale and in landscapes with less topographic variation may require predictors that capture biotic processes and local abiotic conditions. Contemporary remote sensing (RS) data can enhance predictions by providing a range of spatial environmental data products at fine scale beyond climatic variables only. In this study, we used the Global Biodiversity Information Facility (GBIF) and empirical maximum entropy (MaxEnt) models to model the potential distributions of 14 invasive plant species across Southeast Asia (SEA), selected from regional and Vietnam’s lists of priority weeds. Spatial environmental variables used to map invasion risk included bioclimatic layers and recent representations of global land cover, vegetation productivity (GPP), and soil properties developed from Earth observation data. Results showed that combining climate and RS data reduced predicted areas of suitable habitat compared with models using climate or RS data only, with no loss in model accuracy. However, contributions of RS variables were relatively limited, in part due to uncertainties in the land cover data. We strongly encourage greater adoption of quantitative remotely sensed estimates of ecosystem structure and function for habitat suitability modeling. Through comprehensive maps of overall predicted area and diversity of invasive species, we found that among lifeforms (herb, shrub, and vine), shrub species have higher potential invasion risk in SEA. Native invasive species, which are often overlooked in weed risk assessment, may be as serious a problem as non-native invasive species. Awareness of invasive weeds and their environmental impacts is still nascent in SEA and information is scarce. Freely available global spatial datasets, not least those provided by Earth observation programs, and the results of studies such as this one provide critical information that enables strategic management of environmental threats such as invasive species.

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Mental health literacy (MHL) refers to knowledge and attitudes that shape the recognition, management, and prevention of mental disorders. While the topic has been exhaustively researched in Western countries, research from Southeast Asia still is limited. Previous studies in this field showed a moderate recognition of mental disorders, a high prevalence of stigmatizing attitudes and a low willingness to seek professional help among Southeastern-Asian populations. This study explored the level of MHL among university students from different parts of Vietnam and Cambodia. Correlations with influencing factors (gender, age, study year, educational attainment of the parents, urban/rural origin, ethnicity, personal experiences with mental disorders) were also explored. An online survey, using a 30-item Vietnamese version of the Mental Health Literacy Scale (MHLS), was conducted at six university sites in Vietnam and Cambodia. Data of 1032 students from different study branches were included. The MHL of Vietnamese and Cambodian university students was lower, compared to samples from Australia or the UK. Females and students with a personal experience of mental disorders (self or family) showed a significantly higher MHL. No differences in MHL were found between students from different socioeconomic backgrounds (professional attainment of parents, urban/rural origin). Findings on the influence of ethnicity were inconclusive. MHL needs to be improved among the university students of Vietnam and Cambodia. Mental health promotion should specifically target male students, students from STEM branches, and international students.

Understanding global environmental policies addresses the aim of educating individuals to become environmentally literate on pertinent issues related to sustainable development. Online classes were established recently in most public universities in Vietnam to address the educational backlash brought by the COVID-19 pandemic crisis. This case study was conducted to serve as baseline information on the effectiveness of using online platforms to teach environmental policies among undergraduate Environmental Science and Management students. The qualitative-quantitative responses elicited from semi-structured interviews, online classroom observation, and survey of 11 Filipino and 8 Vietnamese students have confirmed the role of learner-instructor, learner-learner, and learner-content interactions in creating an impactful online experience from students usually stereotyped as passive learners. In spite of some technical and physical challenges identified in this study, utilizing online platforms have positively helped undergraduate students to raise their personal environmental knowledge related to many global environmental policies and environmental consciousness towards building a more sustainable future. Hence, synchronous online learning is a pedagogy that can be adapted by most Vietnamese educators.