This study is the first step towards more systematic monitoring of urban bat fauna in Vietnam and other Southeast Asian countries by collecting bat echolocation call parameters in Ho Chi Minh and Tra Vinh cities. We captured urban bats and then recorded echolocation calls after releasing in a tent. Additional bat’s echolocation calls from the free-flying bats were recorded at the site where we captured bat. We used the obtained echolocation call parameters for a discriminant function analysis to test the accuracy of classifying these species based on their echolocation call parameters. Data from this pilot work revealed a low level of diversity for the studied bat assemblages. Additionally, the discriminant function analysis successfully classified bats to four bat species with an accuracy of >87.4%. On average, species assignments were correct for all calls from Taphozous melanopogon (100% success rate), for 70% of calls from Pipistrellus javanicus, for 80.8% of calls from Myotis hasseltii and 67.3% of calls from Scotophilus kuhlii. Our study comprises the first quantitative description of echolocation call parameters for urban bats of Vietnam. The success in classifying urban bats based on their echolocation call parameters provides a promising baseline for monitoring the effect of urbanization on bat assemblages in Vietnam and potentially also other Southeast Asian countries.

Tra Vinh Province is an important agricultural production area of the Mekong Delta in Viet Nam, but its economic development is being heavily affected by climate change. In this study, a set of 14 quotas with the Delphi method were used to assess the climate change adaptability of 24 livelihood models (horticulture, animal husbandry, and aquaculture models) in Tra Vinh Province to find livelihood models with the greatest adaptability. The adaptability was calculated using relevant parameters including weighted scores, raw data points, and mean points of each model. Calculations show that two models have great adaptability (CN01 and TS14), twenty models have relatively pretty good adaptability (CN01, CN03, TS02, TS03, TS05, TS06, TS07,TS08, TS09, TS10, TS11, TS12, TS13, TS14, TS15, TS16, TT01, TT02, TT03, TT04 and TT05), two models have average adaptability (TS04 and TS01), and no models have low adaptability. These two successful models can be applied to farmers in Tra Vinh Province but attention needs to be paid to economic issues such as capital or market. These twenty good adaptive and two average adaptability models should be improved for future applications.