Carbon emissions from deforestation in the Brazilian Amazon region predicted  from satellite data and ecosystem modeling

Abstract. A simulation model based on satellite observations of monthly vegetation cover from the Moderate Resolution Imaging Spectroradiometer (MODIS) was used to estimate monthly carbon fluxes in terrestrial ecosystems of Brazilian Amazon and Cerrado regions over the period 2000–2002. The NASA-CASA (Carnegie Ames Stanford Approach) model estimates of annual forest production were used as the basis to generate a prediction for the standing pool of carbon in above-ground biomass (AGB; g C m−2) for forested areas of the Brazilian Amazon region. Plot-level measurements of the residence time of carbon in wood in Amazon forest from Malhi et al. (2006) were interpolated by inverse distance weighting algorithms and used with CASA to generate a new regional map of AGB. Data from the Brazilian PRODES (Estimativa do Desflorestamento da Amazônia) project were used to map deforested areas. Results show that net primary production (NPP) sinks for carbon are highest across the eastern and northern Amazon areas, whereas deforestation sources of CO2 flux from decomposition of residual woody debris are more rapid and less seasonal in the central Amazon than in the eastern and southern areas. Increased woody debris from past deforestation events was predicted to alter the net ecosystem carbon balance of the Amazon region to generate annual CO2 source fluxes at least two times higher than previously predicted by CASA modeling studies. Variations in climate, land cover, and forest burning were predicted to release carbon at rates of 0.5 to 1 Pg C yr−1 from the Brazilian Amazon. When direct carbon emissions from forest burning of between 0.2 and 0.6−1 in the Legal Amazon are overlooked in regional budgets, the year-to-year variations in this net biome flux may appear to be large, whereas our model results implies net biome fluxes had actually been relatively consistent from year to year during the period 2000–2002.

Download Full-text

Carbon emissions from deforestation in the Brazilian Amazon Region

Biogeosciences ◽

10.5194/bg-6-2369-2009 ◽

2009 ◽

Vol 6 (11) ◽

pp. 2369-2381 ◽

Cited By ~ 17

Author(s):

C. Potter ◽

S. Klooster ◽

V. Genovese

Keyword(s):

Net Primary Production ◽

Woody Debris ◽

Co2 Flux ◽

Terrestrial Ecosystems ◽

Brazilian Amazon ◽

Amazon Region ◽

Amazon Forest ◽

Brazilian Amazon Region ◽

Forested Areas ◽

Moderate Resolution Imaging Spectroradiometer

Abstract. A simulation model based on satellite observations of monthly vegetation greenness from the Moderate Resolution Imaging Spectroradiometer (MODIS) was used to estimate monthly carbon fluxes in terrestrial ecosystems of Brazilian Amazon and Cerrado regions over the period 2000–2002. The NASA-CASA (Carnegie Ames Stanford Approach) model estimates of annual forest production were used for the first time as the basis to generate a prediction for the standing pool of carbon in above-ground biomass (AGB; g C m−2) for forested areas of the Brazilian Amazon region. Plot-level measurements of the residence time of carbon in wood in Amazon forest from Malhi et al. (2006) were interpolated by inverse distance weighting algorithms and used with CASA to generate a new regional map of AGB. Data from the Brazilian PRODES (Estimativa do Desflorestamento da Amazônia) project were used to map deforested areas. Results show that net primary production (NPP) sinks for carbon varied between 4.25 Pg C yr−1 (1 Pg=1015 g) and 4.34 Pg C for the region and were highest across the eastern and northern Amazon areas, whereas deforestation sources of CO2 flux from decomposition of residual woody debris were higher and less seasonal in the central Amazon than in the eastern and southern areas. Increased woody debris from past deforestation events was predicted to alter the net ecosystem carbon balance of the Amazon region to generate annual CO2 source fluxes at least two times higher than previously predicted by CASA modeling studies. Variations in climate, land cover, and forest burning were predicted to release carbon at rates of 0.5 to 1 Pg C yr−1 from the Brazilian Amazon. When direct deforestation emissions of CO2 from forest burning of between 0.2 and 0.6 Pg C yr−1 in the Legal Amazon are overlooked in regional budgets, the year-to-year variations in this net biome flux may appear to be large, whereas our model results implies net biome fluxes had actually been relatively consistent from year to year during the period 2000–2002. This is the first study to use MODIS data to model all carbon pools (wood, leaf, root) dynamically in simulations of Amazon forest deforestation from clearing and burning of all kinds.

Download Full-text

A new species of Xenylla Tullberg, 1869 (Collembola: Hypogastruridae) from Central Amazon, Brazil

Zootaxa ◽

10.11646/zootaxa.4347.1.12 ◽

2017 ◽

Vol 4347 (1) ◽

pp. 187

Author(s):

ANA C. R. NEVES ◽

MARIA C. MENDONÇA

Keyword(s):

New Species ◽

Brazilian Amazon ◽

Amazon Region ◽

Amazon Forest ◽

Central Amazon ◽

Brazilian Amazon Region ◽

Northern Brazil ◽

A New Species

A new species of the cosmopolitan genus Xenylla Tullberg, 1869 is herein described and illustrated. The new species, Xenylla hodori sp. nov., from the Amazon Forest of Northern Brazil, resembles X. capixaba Fernandes & Mendonça, 2010 and X. welchi Folsom, 1916 due, the number of eyes, chaetotaxy head and shape of furca. X. hodori sp. nov. is the second species recorded for the Brazilian Amazon Region.

Download Full-text

Use of Poisson spatiotemporal regression models for the Brazilian Amazon Forest: malaria count data

Revista da Sociedade Brasileira de Medicina Tropical ◽

10.1590/s0037-86822011000600019 ◽

2011 ◽

Vol 44 (6) ◽

pp. 749-754 ◽

Cited By ~ 14

Author(s):

Jorge Alberto Achcar ◽

Edson Zangiacomi Martinez ◽

Aparecida Doniseti Pires de Souza ◽

Vilma Mayumi Tachibana ◽

Edilson Ferreira Flores

Keyword(s):

Human Development ◽

Regression Models ◽

Brazilian Amazon ◽

Amazon Region ◽

Mcmc Methods ◽

Amazon Forest ◽

Deforestation Rate ◽

Health Authorities ◽

Brazilian Amazon Region ◽

Public Health Authorities

INTRODUCTION: Malaria is a serious problem in the Brazilian Amazon region, and the detection of possible risk factors could be of great interest for public health authorities. The objective of this article was to investigate the association between environmental variables and the yearly registers of malaria in the Amazon region using Bayesian spatiotemporal methods. METHODS: We used Poisson spatiotemporal regression models to analyze the Brazilian Amazon forest malaria count for the period from 1999 to 2008. In this study, we included some covariates that could be important in the yearly prediction of malaria, such as deforestation rate. We obtained the inferences using a Bayesian approach and Markov Chain Monte Carlo (MCMC) methods to simulate samples for the joint posterior distribution of interest. The discrimination of different models was also discussed. RESULTS: The model proposed here suggests that deforestation rate, the number of inhabitants per km², and the human development index (HDI) are important in the prediction of malaria cases. CONCLUSIONS: It is possible to conclude that human development, population growth, deforestation, and their associated ecological alterations are conducive to increasing malaria risk. We conclude that the use of Poisson regression models that capture the spatial and temporal effects under the Bayesian paradigm is a good strategy for modeling malaria counts.

Download Full-text

Surgical Site Infection Following Caesarean Section by Acinetobacter Species: A Report from a Hyperendemic Setting in the Brazilian Amazon Region

Microorganisms ◽

10.3390/microorganisms9040743 ◽

2021 ◽

Vol 9 (4) ◽

pp. 743

Author(s):

Blenda Gonçalves Cabral ◽

Danielle Murici Brasiliense ◽

Ismari Perini Furlaneto ◽

Yan Corrêa Rodrigues ◽

Karla Valéria Batista Lima

Keyword(s):

Caesarean Section ◽

Surgical Site Infection ◽

Carbapenem Resistance ◽

Brazilian Amazon ◽

Amazon Region ◽

Site Infection ◽

Acinetobacter Species ◽

Brazilian Amazon Region ◽

Acinetobacter Spp ◽

The Impact

Surgical site infection (SSI) following caesarean section is associated with increased morbidity, mortality, and significant health care costs. This study evaluated the epidemiological, clinical, and microbiological features of Acinetobacter spp. in women with SSIs who have undergone caesarean section at a referral hospital in the Brazilian Amazon region. This study included 69 women with post-caesarean SSI by Acinetobacter spp. admitted to the hospital between January 2012 and May 2015. The 69 Acinetobacter isolates were subjected to molecular species identification, antimicrobial susceptibility testing, detection of carbapenemase-encoding genes, and genotyping. The main complications of post-caesarean SSI by Acinetobacter were inadequate and prolonged antibiotic therapy, sepsis, prolonged hospitalization, and re-suture procedures. A. baumannii, A. nosocomialis and A. colistiniresistens species were identified among the isolates. Carbapenem resistance was associated with OXA-23-producing A. baumannii isolates and IMP-1-producing A. nosocomialis isolate. Patients with multidrug-resistant A. baumannii infection showed worse clinical courses. Dissemination of persistent epidemic clones was observed, and the main clonal complexes (CC) for A. baumannii were CC231 and CC236 (Oxford scheme) and CC1 and CC15 (Pasteur scheme). This is the first report of a long-term Acinetobacter spp. outbreak in women who underwent caesarean section at a Brazilian hospital. This study demonstrates the impact of multidrug resistance on the clinical course of post-caesarean infections.

Download Full-text

Inadequate management of natural ecosystem in the Brazilian Amazon region results in the emergence and reemergence of arboviruses

Cadernos de Saúde Pública ◽

10.1590/s0102-311x2001000700025 ◽

2001 ◽

Vol 17 (suppl) ◽

pp. S155-S164 ◽

Cited By ~ 81

Author(s):

Pedro F. C. Vasconcelos ◽

Amélia P. A. Travassos da Rosa ◽

Sueli G. Rodrigues ◽

Elizabeth S. Travassos da Rosa ◽

Nicolas Dégallier ◽

...

Keyword(s):

Environmental Changes ◽

Epidemiological Data ◽

Brazilian Amazon ◽

Host Population ◽

Amazon Region ◽

Laboratory Animals ◽

Natural Ecosystem ◽

Brazilian Amazon Region ◽

Mining Dam ◽

The Impact

A total of 187 different species of arboviruses and other viruses in vertebrates were identified at the Evandro Chagas Institute (IEC) from 1954 to 1998, among more than 10,000 arbovirus strains isolated from humans, hematophagous insects, and wild and sentinel vertebrates. Despite intensive studies in the Brazilian Amazon region, especially in Pará State, very little is known about most of these viruses, except for information on date, time, source, and method of isolation, as well as their capacity to infect laboratory animals. This paper reviews ecological and epidemiological data and analyzes the impact of vector and host population changes on various viruses as a result of profound changes in the natural environment. Deforestation, mining, dam and highway construction, human colonization, and urbanization were the main manmade environmental changes associated with the emergence and/or reemergence of relevant arboviruses, including some known pathogens for humans.

Download Full-text