Métodos de calagem, acidez da água e do sedimento do fundo de viveiros de piscicultura

Although some methods for determining lime requirement of pond soils are available and commonly used, there is still no consensus on whether it is more effective to apply liming materials to the bottoms of empty ponds or to wait and apply them over the water surface after ponds are filled. There is also little information on how deep lime reacts in pond sediment over time, and whether the depth of reaction is different when liming materials are applied to the water or to the soil. Therefore, three techniques for treating fish ponds with agricultural limestone were evaluated in ponds with clayey soils at a commercial fish farm. Amounts of agricultural limestone equal to the lime requirement of bottom soils were applied to each of three ponds by: direct application over the pond water surface; spread uniformly over the bottom of the empty pond; spread uniformly over the bottom of the empty pond followed by tilling of the bottom. Effectiveness of agricultural limestone applications did not differ among treatment methods. Agricultural limestone also reacted quickly to increase total alkalinity and total hardness of pond water to acceptable concentrations within 2 weeks after application. The reaction of lime to increase soil pH was essentially complete after one to two months, and lime had no effect below a soil depth of 8 cm. Tilling of pond bottoms to incorporate liming materials is unnecessary, and tilling consumes time and is an expensive practice; filled ponds can be limed effectively.Alguns métodos para determinar a quantidade de calcário necessária para corrigir a acidez do fundo dos viveiros de piscicultura estão disponíveis e rotineiramente em uso, mas ainda não existe um consenso se é mais eficiente fazer a aplicação diretamente no fundo ou sobre a superfície da água após o abastecimento dos viveiros. Além disso, existem poucas informações disponíveis sobre até que profundidade o calcário reage com o sedimento do fundo ao longo do tempo, e se a profundidade na qual ocorrem as reações é diferente quando o calcário é aplicado sobre a superfície da água ou sobre o solo. Dessa forma, três técnicas para calagem foram avaliadas em viveiros com solo argiloso em uma piscicultura comercial de acordo com os seguintes métodos: aplicação direta sobre a superfície da água do viveiro, distribuição uniforme sobre o fundo do viveiro vazio, distribuição uniforme sobre o fundo do viveiro vazio seguida da aragem. A eficácia da aplicação do calcário agrícola não diferiu entre os métodos de tratamento. O calcário agrícola reagiu rapidamente para aumentar a alcalinidade e a dureza total da água dos viveiros para concentrações aceitáveis após duas semanas. O aumento do pH do sedimento se completou essencialmente após um a dois meses, e o calcário agrícola não teve efeito sobre as camadas de sedimento abaixo de 8 cm. A aração do fundo dos viveiros para incorporação de materiais é desnecessária, consome tempo e é dispendiosa; a calagem pode ser feita de forma eficaz em viveiros cheios

Efeito das concentrações resíduais do óleo de cravo e do Florfenicol nos biomarcadores enzimáticos em Tilápias : Effect of residual concentrations of clove oil and Florfenicol on enzyme biomarkers in Tilapia

O uso do óleo de cravo como anestésico no manejo de peixes e do florfenicol no tratamento de infecções podem deixar resíduos na água, acarretando prejuízos na saúde dos peixes e no meio ambiente. Biomarcadores enzimáticos são alterações nas enzimas detectadas em organismos expostos a substâncias tóxicas na água. A presença de resíduos do óleo de cravo e do florfenicol na água pode interferir nos biomarcadores enzimáticos, prejudicando sua interpretação durante monitoramento da qualidade da água. O objetivo deste estudo foi avaliar o efeito de concentrações residuais do óleo de cravo e do florfenicol na água na resposta dos biomarcadores enzimáticos em tilápias do Nilo. Foram utilizados dois tratamentos com três repetições, considerando cada aquário contendo nove tilápias como unidade amostral. O experimento 1 foi composto pelos tratamentos: óleo de cravo na concentração de 0,5 mg/L com o diluente etanol 96°GL; o segundo tratamento foi acrescido apenas do diluente do óleo, ou seja, etanol a 10µL/L de água e o grupo controle (sem adição de óleo de cravo e sem adição do diluente - etanol) na água. O experimento 2 foi composto pelos tratamentos: 0,0 (grupo controle); 0,5 mg/L e 5 mg/L de florfenicol. Os parâmetros enzimáticos avaliados durante os dois experimentos não apresentaram diferença significativa, indicando que as concentrações residuais de óleo de cravo e do florfenicol avaliados neste estudo não interferem na resposta dos biomarcadores enzimáticos em tilápias

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

Lime application methods, water and bottom soil acidity in fresh water fish ponds

Although some methods for determining lime requirement of pond soils are available and commonly used, there is still no consensus on whether it is more effective to apply liming materials to the bottoms of empty ponds or to wait and apply them over the water surface after ponds are filled. There is also little information on how deep lime reacts in pond sediment over time, and whether the depth of reaction is different when liming materials are applied to the water or to the soil. Therefore, three techniques for treating fish ponds with agricultural limestone were evaluated in ponds with clayey soils at a commercial fish farm. Amounts of agricultural limestone equal to the lime requirement of bottom soils were applied to each of three ponds by: direct application over the pond water surface; spread uniformly over the bottom of the empty pond; spread uniformly over the bottom of the empty pond followed by tilling of the bottom. Effectiveness of agricultural limestone applications did not differ among treatment methods. Agricultural limestone also reacted quickly to increase total alkalinity and total hardness of pond water to acceptable concentrations within 2 weeks after application. The reaction of lime to increase soil pH was essentially complete after one to two months, and lime had no effect below a soil depth of 8 cm. Tilling of pond bottoms to incorporate liming materials is unnecessary, and tilling consumes time and is an expensive practice; filled ponds can be limed effectively

Assessment of Ori\ue7anga and Itupeva rivers water quality at the Pardo-Mogi watershed (S\ue3o Paulo State, Brazil)

AIMS: This study aimed to assess the impacts of anthropic activities at four sites of two rivers from the Mogi-Guaçu watershed in São Paulo State, Brazil; METHODS: Sites were classified according to their environmental integrity, based on the index developed by Callisto et al. (2002). Physico-chemical and biotic metrics were measured bimonthly. Principal Component Analysis (PCA) analysis was used to assess the relationship between sites and samples. Measures of soil loss evaluated the impacts from land uses at the Mogi-Guaçu watershed; RESULTS: Fifty-two macroinvertebrate families were identified at Oriçanga and Itupeva rivers. The Calamoceratidae (Trichoptera) are shredders, and their percentage was greatest at the most preserved site, where the riparian forest was in good condition. Some unexpected results were found at (ORIC 1), considered a minimally disturbed site according to a Rapid Assessment Protocol. At this site, family richness and Shannon-Weaver diversity index were both low, which could be attributed to riparian forest deforestation, resulting in less aquatic biodiversity. Principal Component Analysis (PCA) showed differences in physico-chemical parameters and macroinvertebrate families, but these differences were not so evident to separate sites according to their environmental integrity degree; CONCLUSIONS: We conclude that water quality seemed to be related to land use, as soil losses prevailed in pasture and sugar cane areas, where water quality parameters (biotic and physico-chemical) showed worse results. And that land uses must consider the slope of areas near aquatic ecosystems, due to the potential environmental impacts to these systems, especially erosion and inflow of polluted effluents

Efficiency of bioaugmentation in the removal of organic matter in aquaculture systems

Several techniques are currently used to treat effluents. Bioaugmentation is a new bioremediation strategy and has been employed to improve effluent quality by treating the water during the production process. This technology consists basically of the addition of microorganisms able to degrade or remove polluting compounds, especially organic matter and nutrients. The objective of this study was to assess the effects of bioaugmentation on some parameters of organic matter and on the performance of juvenile tilapias in an intensive aquaculture production system. The combination of two bacterial consortiums in a complete randomized design was employed in a factorial analysis with two factors. Statistical differences between treatments were analyzed by the analysis of variance (ANOVA) and Tukey test at the 5% level. One of the treatments, heterotrophic bacterial supplementation, was able to reduce biochemical oxygen demand (BOD) by 23%, dissolved organic carbon (DOC) by 83.7% and phytoplanktonic biomass by 43%. On the other hand, no damage was done to either the physical-chemical indicators of water quality or to the growth performance of juvenile tilapias assessed in this study