Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 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 or ganism 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 ne glected 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 lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 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,18,19 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

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 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,18,19 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

Contaminação da água superficial por metais pesados em função do armazenamento incorreto de esterco de suínos sem tratamento

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Contaminação da água superficial por metais pesados em função do armazenamento incorreto de esterco de suínos sem tratamento

09

El Pueblo Español : diario democrático de la tarde: Epoca Segunda Año III Número 224 - 1878 Octubre 22

O uso intensivo do solo para a produção olerícola com a utilização continua de fertilizantes orgânicos e minerais pode aumentar o teor de elementos-traço (ETs) no solo e nas plantas. Assim, o objetivo desta pesquisa foi o de quantificar os teores de Cd, Cr, e Pb em amostras de fertilizantes orgânicos, de solos e de plantas de alface de áreas de produção olerícola localizadas nos municípios de Novo Hamburgo e São Leopoldo / Rio Grande do Sul. A maioria das amostras de fertilizantes orgânicos não apresentou teor de ETs acima do limite máximo estabelecido para utilização na produção agrícola. Entretanto, três amostras oriundas das áreas de cultivo organomineral apresentaram teor de Cr acima do limite máximo de 200 mg kg-1. Os teores de Cd, Cr e Pb em nenhuma das áreas de produção olerícola estiveram acima dos limites de prevenção estabelecido pelo CONAMA. A maioria das amostras de alface não apresentou teor de Pb acima do limite máximo de 7,1 mg kg-1 de massa seca, considerado seguro para o consumo humano. Porém, foi verificado cinco amostras de alface com o teor de Pb acima do limite, duas em áreas de cultivo organomineral e três em áreas de cultivo orgânico. Em nenhuma das amostras de alface não se encontrou teor de Cd acima do limite seguro para o consumo humano.The intensive use of soil for vegetable crop production with continued use of organic and mineral fertilizers can increase the content of trace elements (ETs) in soil and plants. The objective of this research was to quantify the levels of Cd, Cr, and Pb in samples of organic fertilizers, soil and lettuce in areas located in Novo Hamburgo and St. Leopoldo counties of Rio Grande do Sul. Most samples of organic fertilizer showed no ETs above the limit for use in agricultural production. However, three samples from the growing areas Organomineral showed Cr content above the limit of 200 mg kg-1. The concentrations of Cd, Cr and Pb in any area were greater than the prevention limit established by CONAMA. Most lettuce samples showed no Pb content above the maximum limit of 7.1 mg kg-1 dry weight, considered safe for human consumption. However, it was found five samples of lettuce with Pb content above the limit, in two organomineral areas and in three areas of organic farming. The Cd content in any of the lettuce samples was above the limit considered safe for human consumption