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Less than half of the original two million km2 of the Brazilian Savanna natural vegetation, called the Cerrado Biome, remains standing. Given its climate and socio-biodiversity importance, more effective public policies are needed to protect the remaining natural areas. In this paper, we present the methodology and results of the DETER Cerrado, an early warning deforestation system within the Cerrado region. The findings support that DETER is effective in detecting a wider range of deforestation patch sizes, from the larger patches, heavily associated with agricultural expansion, to the smaller areas (>1 ha <10 ha). Nevertheless, 80% of the deforestation is concentrated in the 10-km radius zone from the DETER Alerts. This area was later detected by the Cerrado Deforestation Monitoring Project (PRODES), the system that accounts for the annual deforestation rate assessment, which highlights the capability of the DETER system to provide support to the surveillance of deforestation in the Cerrado. [ABSTRACT FROM AUTHOR]

Agricultural intensification is often seen as an appropriate approach to meet the growing demand for agricultural products. In regions affected by seasonal or chronic water scarcity, closing the yield gap depends on irrigation. Brazil is the second-largest wheat importer of the world and irrigated wheat has high yield potential in Brazil, especially in tropical and sub-tropical regions of the country. The crop coefficient (Kc) is still a practical and simple way of quantifying crop irrigation requirements. In this paper, we provided Kc values based on a robust experimental dataset across different wheat-producing regions in Brazil. Four experiments were conducted in three sites [season 2017 in Piracicaba, State of São Paulo (Southeast region); season 2012 Maringá, State of Paraná (Southern region); and seasons 2016 and 2017 Rondonópolis, State of Mato Grosso) (Midwest region)] using lysimeters and the Bowen ratio energy balance method for crop evapotranspiration measurements. Our data showed that Kc values varied among the regions analyzed. For the Midwest region, Kc values ranged from 0.88 to 1.36; the Southeastern region from 0.81 to 1.15, and the Southern region from 0.67 to 1.01. Considering values suggested by FAO, those for arid climates should be used in the Midwest region, sub-humid values for the Southeast, and humid values in the Southern. Differently, that was observed for other crops, our database showed wheat Kc values being stable disregarding the ETo range, which might be related to relatively lower ETo during the winter. [ABSTRACT FROM AUTHOR]

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• Deforestation-induced rainfall changes negatively impact soybean and maize yields in Brazil. • Soybean and maize yields could have been 6.6 % and 9.9 % higher per year if rainfall patterns hadn't been altered by deforestation. • Agricultural efficiency improvements insufficient to counteract rainfall-changes effects on yields. • Study underscores the vital role of forest preservation for agricultural resilience and food security. • Forests' critical role in regulating the water cycle highlighted in the face of climate change. Whereas the global demand for food, fiber and energy is increasing, the capacity of ecosystems services to sustain agricultural production is being compromised worldwide. Brazil is a global food supplier that has benefitted from agricultural intensification in the past decades. At the same time, expansion of cropland has led to deforestation that, in turn, is increasingly affecting rainfall patterns thereby influencing crop yields. This study examines how loss in forest cover has impacted agricultural yields through change in rainfall. To do so, we use modelled data on changes in rainfall patterns due to deforestation as input to a crop model. We assess yield changes within the soybean-maize double cropping system, the country's most relevant agricultural system, in five states within the Amazon and Cerrado biomes. Findings revealed that soybean and maize yields would have been respectively 6.6 % and 9.9 % higher per year in the last decade if rainfall patterns hadn't been altered by deforestation from 1982 onwards. Although agricultural efficiency improved between 2011 and 2020, it was insufficient to offset the negative effect of altered rainfall on yields. Our paper reveals the link between deforestation and crop yields, emphasizing the need to preserve forest cover for agricultural resilience and food security. It reinforces the critical role of forests in regulating the water cycle, particularly in the face of climate change-induced warmer and drier conditions that can impact agricultural production and other human activities. [ABSTRACT FROM AUTHOR]

Over the last several decades, Brazil has become both the world's leading soy producer and the world's leading consumer of hazardous pesticides. Despite identified links between pesticide exposure and carcinogenesis, there has been little populationlevel research on the effects of pesticide intensification on broader human health in Brazil. We estimate the relationship between expanded soy production--and related community exposure to pesticides--on childhood cancer incidence using 15 y of data on disease mortality. We find a statistically significant increase in pediatric leukemia following expanded local soy production, but timely access to treatment mitigates this relationship. We show that pesticide exposure likely occurs via water supply penetration. Our findings represent only the tip of the iceberg for substantial health externalities of high-input crop production and land use change. Our results are of particular interest in developing contexts with demand for intensified food production systems and underscore the need for stronger regulation of pesticides and increased public health attention to exposure in the broader community. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Applied Ecology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The current development model of the agricultural sector in Brazil has considerable potential to cause negative environmental impacts, including the pollution of aquatic ecosystems, as it may contribute to the intensification of erosive processes on deforested soils, to the leaching of eroded materials, and to the consequent siltation of waterbodies with soil particles containing environmental pollutants. We aimed at assessing the occurrence of several pesticide residues in aquatic ecosystems located near large soybean crops of the Santarém region, in the eastern Brazilian Amazon. By adopting a methodological approach combining analytical and environmental chemistry, 10 groundwater samples, 18 surface water, and 15 drainage bottom sediment samples, all collected in streams from the study region, were analyzed. The study included a distributed sampling procedure covering an area of approximately 20 km2, and the potential risks of the studied pollutants and their implications for the region were likewise examined and critically discussed. Results indicate that active ingredients such as the herbicides atrazine and metolachlor were detected in the waters, as well as organochlorine insecticides such as DDTs and endosulfan. The spatialization of the resulting pesticide concentrations in water suggests that the contamination would not be punctual but would rather come from various point sources. As for the sediments, glyphosate and DDT contamination was likewise pervasive. Our findings suggest the need of elucidating the sediment and water polluting effects of large-scale soybean crops in the Amazonian rainforest. [ABSTRACT FROM AUTHOR]

Natural landscapes are facing rapid transformation in many parts of the world, but the consequences of such changes for insects are poorly known. We evaluated how the conversion of the savannas and forests from Brazil´s Cerrado into lands devoted to intensive agriculture, livestock, or plantation forestry affects euglossine bees. We determined the effects of land-use change on the species richness of euglossines, and functional traits related to the body size and wing fluctuating asymmetry (FA) of a habitat generalist species. Few species were recorded in the anthropogenic land uses and most presented lower abundances in the converted than in the native habitats. The exception was Eulaema nigrita, whose average abundance in cattle pastures and in soy fields did not differ from that observed in the native habitats. However, El. nigrita males collected in pastures or in soy fields were significantly smaller than those from savannas and forests, whereas those from eucalypt tree plantations were smaller than those from savanna. Furthermore, El. nigrita males from the tree plantations had higher levels of FA in wing shape than those from native forests. Implications for conservation: Our results showed that land-use change in the Cerrado biodiversity hotspot causes the impoverishment and homogenization of the Euglossini fauna. Furthermore, we found evidence that the converted habitats present more stressful conditions for the larval development of some species. This indicates that the conservation of euglossine populations in human- modified Cerrado landscapes depends largely on the presence of protected areas, including those within rural private land as required by Brazil´s Native Vegetation Protection Law. [ABSTRACT FROM AUTHOR]

Due to different combinations of agriculture, livestock and forestry managed by rotation, succession and intercropping practices, integrated agriculture production systems such as integrated crop–livestock systems (iCL) constitute a very complex target and a challenge for automatic mapping of cropping practices based on remote sensing data. The overall objective of this study was to develop a classification strategy for the annual mapping of integrated Crop–Livestock systems (iCL) at a regional scale. This strategy was designed and tested in the six agro-climatic regions of Mato Grosso, the largest Brazilian soybean producer state, using MODIS satellite time-series images acquired between 2012 and 2019, ground data with heterogeneous distribution in space and time and a Random Forest classifier. The results showed that: 1. the use of unbalanced training samples with a class composition close to the real one was the right classifier training strategy; 2. the use of a single training database (pooling samples from different years and regions) to classify each region and year individually proved to be robust enough to provide similar classification accuracies in comparison to those based on the use of a database acquired for each region and for each year. The final hierarchical classification overall accuracy was 0.89 for Level 1, the cropping pattern level (single and double crops DC); 0.84 for Level 2, the DC category level (integrated system iCL soy-pasture/brachiaria, soy-cotton and soy-cereal); 0.77 for Level 3, the iCL level (iCL1 soy-pasture and iCL2 soy-pasture mixed with corn). The F-scores for DC, iCL and iCL1 cropping systems presented high accuracy (0.89, 0.85 and 0.84), while iCL2 was more difficult to classify (0.63). This approach will next be applied across the entire Brazilian soybean corridor, leading to an operational tool for monitoring the adoption of sustainable intensification practices recognized by Brazil's Agriculture Low Carbon Plan (ABC PLAN). [ABSTRACT FROM AUTHOR]