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

Estado nutricional e produção de laranjeira 'Pêra' em função da vegetação intercalar e cobertura morta

O objetivo deste trabalho foi avaliar os efeitos da cobertura morta e da vegetação intercalar composta por gramíneas e leguminosas perenes nas propriedades químicas do solo e no estado nutricional de plantas de laranjeira 'Pêra' (Citrus sinensis (L.) Osbeck) enxertada em limoeiro 'Cravo' (Citrus limonia Osbeck). Os tratamentos testados foram: T1, Brachiaria ruziziensis R. Germ. & Evrard na entrelinha sem cobertura morta na linha; T2, B. ruziziensis na entrelinha e cobertura morta na linha; T3, B. ruziziensis consorciada com amendoim forrageiro (Arachis pintoi Krap. & Greg) na entrelinha e cobertura morta na linha; T4, B. ruziziensis e estilosantes (Stylosanthes capitata, S. macrocephala e S. guianensis) na entrelinha e cobertura morta na linha; T5, capim-marmelada (Brachiaria plantaginea (Link) Hitch.) na entrelinha e cobertura morta na linha; T6, amendoim forrageiro na entrelinha e cobertura morta na linha; T7, estilosantes na entrelinha e cobertura morta na linha. A leguminosa estilosantes proporcionou aumento da concentração foliar de N em relação à vegetação intercalar composta por B. ruziziensis. A cobertura morta não reduziu a disponibilidade de N para as plantas cítricas. Verificou-se correlação entre a densidade do sistema radicular na camada superficial do solo com a concentração foliar de P e produção de frutos

Growth bioestimulant: evaluation of coconut under different doses of crop-set

The objective of this study was to evaluate the effect of bio-stimulant on the vegetative and reproductive aspects of dwarf-coconut over a period of 13 months in the state of Ceará. The experiment was conducted from September 2016 to October 2017, in a commercial production area, located in the municipality of Itarema, state of Ceará, using four-year-old plants, in a triangular spacing of 8 x 8 x 8 m in blocks at random, four doses of Crop-Set bio-stimulant plus control (0; 4; 8; 12 and 16 mL plant-1) with four replications. The Crop-Set bio-stimulant was applied through leaves with a back-pack spray, in the axilla of the ninth leaf of the coconut palm for 13 months. After its application, the number of leaves, flowers, fruits and bunches per plant was accounted. The influence of the use of bio-stimulant was observed on the number of leaves, while for the number of fruits and coconut bunches, there was no statistical significance. Only the dose of 12 mL plant-1 differed from the control for the number of flowers. It can be concluded that Crop-Set bio-stimulant did not express solid results for the evaluated period of 13 months on the vegetative and reproductive characteristics of irrigated dwarf-coconut palms

Notas sobre a formação social do Nordeste Some notes on the social formation of the Brazilian Northeast region

Este trabalho examina o processo de formação da região Nordeste do Brasil, situando-o em uma longa temporalidade, desde o período colonial até os dias atuais. No entanto, está em desacordo com duas principais visões sobre aquele processo. A primeira percebe a região como um ente histórico existente desde as origens coloniais do Brasil e a segunda reduz a região a uma criação de suas oligarquias para assegurar seus privilégios, domínio e perpetuação no poder. Situado entre essas visões, este trabalho propõe uma outra via de interpretação da formação regional do Nordeste, colocando-a no plano da história. Assim, a formação da região somente alcança pleno sentido quando inserida em uma cronologia política que é, também, a cronologia política da formação da Nação brasileira.<br>This article examines the formation of the Brazilian Northeast region, set in a long temporality, from the colonial era to the current days. It is in disagreement with two main views of that process. The first one considers the Northeast region as an historical entity existing since the colonial times. The second reduces the region to a criation of its oligarchies in order to ensure their privileges, their domination and the presevation of their power. Located in between such views, this article offers another way of interpreting the Northeast regional formation, laying it on the historical plan. In that way, the formation of the region issues its entire meaning when we link it up with the political chronology, which is also the political chronology of the formation of the Brazilian nation

Characterisation of microbial attack on archaeological bone

As part of an EU funded project to investigate the factors influencing bone preservation in the archaeological record, more than 250 bones from 41 archaeological sites in five countries spanning four climatic regions were studied for diagenetic alteration. Sites were selected to cover a range of environmental conditions and archaeological contexts. Microscopic and physical (mercury intrusion porosimetry) analyses of these bones revealed that the majority (68%) had suffered microbial attack. Furthermore, significant differences were found between animal and human bone in both the state of preservation and the type of microbial attack present. These differences in preservation might result from differences in early taphonomy of the bones. © 2003 Elsevier Science Ltd. All rights reserved

Global variation in postoperative mortality and complications after cancer surgery: a multicentre, prospective cohort study in 82 countries

© 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 licenseBackground: 80% of individuals with cancer will require a surgical procedure, yet little comparative data exist on early outcomes in low-income and middle-income countries (LMICs). We compared postoperative outcomes in breast, colorectal, and gastric cancer surgery in hospitals worldwide, focusing on the effect of disease stage and complications on postoperative mortality. Methods: This was a multicentre, international prospective cohort study of consecutive adult patients undergoing surgery for primary breast, colorectal, or gastric cancer requiring a skin incision done under general or neuraxial anaesthesia. The primary outcome was death or major complication within 30 days of surgery. Multilevel logistic regression determined relationships within three-level nested models of patients within hospitals and countries. Hospital-level infrastructure effects were explored with three-way mediation analyses. This study was registered with ClinicalTrials.gov, NCT03471494. Findings: Between April 1, 2018, and Jan 31, 2019, we enrolled 15 958 patients from 428 hospitals in 82 countries (high income 9106 patients, 31 countries; upper-middle income 2721 patients, 23 countries; or lower-middle income 4131 patients, 28 countries). Patients in LMICs presented with more advanced disease compared with patients in high-income countries. 30-day mortality was higher for gastric cancer in low-income or lower-middle-income countries (adjusted odds ratio 3·72, 95% CI 1·70–8·16) and for colorectal cancer in low-income or lower-middle-income countries (4·59, 2·39–8·80) and upper-middle-income countries (2·06, 1·11–3·83). No difference in 30-day mortality was seen in breast cancer. The proportion of patients who died after a major complication was greatest in low-income or lower-middle-income countries (6·15, 3·26–11·59) and upper-middle-income countries (3·89, 2·08–7·29). Postoperative death after complications was partly explained by patient factors (60%) and partly by hospital or country (40%). The absence of consistently available postoperative care facilities was associated with seven to 10 more deaths per 100 major complications in LMICs. Cancer stage alone explained little of the early variation in mortality or postoperative complications. Interpretation: Higher levels of mortality after cancer surgery in LMICs was not fully explained by later presentation of disease. The capacity to rescue patients from surgical complications is a tangible opportunity for meaningful intervention. Early death after cancer surgery might be reduced by policies focusing on strengthening perioperative care systems to detect and intervene in common complications. Funding: National Institute for Health Research Global Health Research Unit