The Cerrado biome is a global biodiversity hotspot, and more than half of its area has been devastated in recent decades. Nevertheless, environmental enforcement agencies have a low capacity for monitoring and curbing illegal deforestation and fires. In this context, the local unit of the Public Prosecutor’s Office in Itiquira, Mato Grosso, has been experimenting since mid-2018 with the Global Forest Watch platform to detect illegal deforestation at its onset and notify landowners by electronic means (WhatsApp, email, etc.). With this remote inspection there has been a significant increase in the number of infraction notices, criminal actions, agreements for civil reparation of damage and public civil suits. By seeking to identify illegal deforestation in progress (in flagrant situations), the Public Prosecutor’s Office has prevented such events from turning into major deforestation. Preliminary data indicate that the practice of monitoring and notifications by the Public Prosecutor’s Office and environmental control agencies has increased law enforcement on deforestation and fires in that municipality and halted infractions at their inception. The challenge now is to determine the extent to which this method can be replicated in broader territories and other biomes such as Amazonia and Pantanal.

This study examines the links between four organizational features of private housing for older persons (service level, perception of environmental control level, tolerance level of caregivers toward seniors and their input in decision making) and the social integration of seniors. This last variable is assessed according to four indicators: presence or absence of meaningful relationships, satisfaction with social life, feeling of loneliness and number of contacts with neighbours. The results obtained by analysing the logistic or ordinal regression and the odd ratio associate two of the four organizational variables studied to most of the social integration indicators irrespective of the subjects' vulnerability level. The two features are service level and perception of environmental control level.

The main objective of this study was to describe the reproductive cycle of the sea urchin Paracentrotus lividus on the Cantabrian coast (north of Spain), and assess its relationship with environmental factors. To achieve this, samples were taken monthly from three localities during 17 months in two different habitats. At least 15 individuals from each location and habitat were collected during each sampling occasion and used for assessments of gonad index and histological sections. The water temperature and the chlorophyll concentration were also measured. The breeding season of P. lividus in Cantabria started in March and continued until September with one or two main spawning periods per year (depending on year and population), the first one in the beginning of spring and the second one in the summer. The most important differences in the gonad cycle were observed among localities, and the smallest among habitats. Temperature, photoperiod and nutritive stage are important factors controlling the gonad cycle. The beginning of spawning in the Cantabrian populations coincides with the spring phytoplankton bloom and the rise in temperature, which may act as environmental triggers.

We used regression models and information-theoretic model selection to assess the relative importance of environment, local dispersal and historical contingency as controls of the distributions of 26 common plant species in tropical forest on Barro Colorado Island (BCI), Panama. We censused eighty-eight 0.09-ha plots scattered across the landscape. Environmental control, local dispersal and historical contingency were represented by environmental variables (soil moisture, slope, soil type, distance to shore, old-forest presence), a spatial autoregressive parameter (ρ), and four spatial trend variables, respectively. We built regression models, representing all combinations of the three hypotheses, for each species. The probability that the best model included the environmental variables, spatial trend variables and ρ averaged 33%, 64% and 50% across the study species, respectively. The environmental variables, spatial trend variables, ρ, and a simple intercept model received the strongest support for 4, 15, 5 and 2 species, respectively. Comparing the model results to information on species traits showed that species with strong spatial trends produced few and heavy diaspores, while species with strong soil moisture relationships were particularly drought-sensitive. In conclusion, history and local dispersal appeared to be the dominant controls of the distributions of common plant species on BCI.