Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time, and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space. While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes, vast areas of the tropics remain understudied. In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity, but it remains among the least known forests in America and is often underrepresented in biodiversity databases. To worsen this situation, human-induced modifications may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge, it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Características estruturais de milheto sob pastejo rotativo com diferentes períodos de descanso Structural characteristics of pearl millet under rotational grazing with different rest periods

Com o objetivo de determinar o período de descanso (PD) ideal para a pastagem de milheto (Pennisetum glaucum (L.) R.Br.), realizou-se um experimento em delineamento completamente ao acaso, com três períodos de descanso (tempos necessários para expansão completa de 1,5 a 2; 2,5 a 3; ou 3,5 a 4 novas folhas), cada um com quatro repetições de área (potreiros). Foram avaliados o número de folhas vivas/perfilho (NFV), o comprimento final da lâmina (CFL), a relação lâmina/bainha e colmo (L/B+C) e a densidade de perfilhos basilares (DPB) e aéreos (DPA). A maior densidade de perfilhos basais, o maior número de folhas vivas e a maior relação lâmina/bainha+colmo no menor período de descanso determinaram maior participação de lâminas verdes no dossel da pastagem e as melhores características estruturais para produção de forragem.<br>This work used the necessary time (days) for a completely elongation of new leaves, i.e., 1.5-2.0; 2.5-3.0 and 3.5-4.0 new leaves completely elongated in order to determine the rest period (RP) between grazing in Pearl millet (Pennisetum glaucum (L.)R. Br.). The experiment was carried out as a completely randomized design with four replications (paddocks). Evaluations were performed for: number of live leaves/tiller (NAL); final length blade (FLB); blade/sheath and culm ratio (B/S+C); basal tiller density (BTD) and aerial tiller density (ATD). The higher BTD; NAL and B/S+C ratio observed in the shortest rest period determined the high quantity of green blades in the pasture sward and consequently the best structural characteristics from the forage point of view