Correction: Integrating tropical research into biology education is urgently needed.

[This corrects the article DOI: 10.1371/journal.pbio.

Integrating tropical research into biology education is urgently needed.

Understanding tropical biology is important for solving complex problems such as climate change, biodiversity loss, and zoonotic pandemics, but biology curricula view research mostly via a temperate-zone lens. Integrating tropical research into biology education is urgently needed to tackle these issues.

Diet breadth and exploitation of exotic plants shift the core microbiome of , a group of tropical herbivorous beetles.

The beetle genus has evolved in association with tropical ginger plants and for many species their specific host plant associations are known. Here we show that the core microbiome of six closely related Costa Rican species comprises only eight bacterial groups, including members of the , Enterobacteriacea, , and . The and Enterobacteriacea together accounted for 35% of the total average 16S rRNA ribotypes recovered from all specimens.

Effect of clonal reproduction on genetic structure in Pentaclethra macroloba (Fabaceae: Mimosoideae).

The existence of monodominant forests on well-drained soils in tropical regions has been widely reported. Such forests most likely result from a combination of both ecological and evolutionary factors. Under conditions of high seed and seedling mortality, vegetative reproduction could create a reproductive advantage leading to forest dominance, and profoundly affect the distribution of genetic variation in a clonal species.

Environmental impact assessment for alternative-energy power plants in México.

Ten Environmental Impact Assessment Reports (EIAR) were reviewed for projects involving alternative power plants in Mexico developed during the last twelve years. Our analysis focused on the methods used to assess the impacts produced by hydroelectric and geothermal power projects. These methods used to assess impacts in EIARs ranged from the most simple, descriptive criteria, to quantitative models.