2024-03-28T15:12:44Zhttps://kuscholarworks.ku.edu/oai/requestoai:kuscholarworks.ku.edu:1808/20572018-04-04T04:15:20Zcom_1808_118com_1808_65com_1808_54com_1808_1069com_1808_8717col_1808_119col_1808_10044col_1808_7465col_1808_8718
Brown, J. Christopher
Koeppe, Matthew
Coles, Benjamin
Price, Kevin P.
2008-03-06T17:40:58Z
2008-03-06T17:40:58Z
2005-08
J. Christopher Brown, Matthew Koeppe, Benjamin Coles, and Kevin P. Price. 2005. Soybean Production and Conversion of Tropical Forest in the Brazilian Amazon: The Case of Vilhena, Rondônia. AMBIO: A Journal of the Human Environment 34(6): 462-469
http://hdl.handle.net/1808/2057
The recent rise in Brazilian soybean production has generated concern among the environmental community and some authors that natural tropical environments of the Amazon Basin are being converted to soybean fields. Proponents of soybean production counter that soybeans represent a viable agricultural commodity for the region; environmental concern is unwarranted, because new soybean fields are replacing already deforested or otherwise transformed lands. Both arguments have been made without comprehensive study and measure of land-use/land-cover (LULC) in areas undergoing expansion of soybean production. This case study, conducted in the municipality of Vilhena, Rondônia, Brazil, in the southwestern Amazon Basin, uses remote sensing to evaluate the LULC accompanying this municipality's large growth in soybean production from 1996 to 2001. Forests are being converted for soybean production, but most of the production increase appears attributable to slight expansion of already existing fields, conversion of already deforested land, and higher yields.
en_US
Royal Swedish Academy of Sciences
Amazon
Soybeans
Deforestation
Soybean production and conversion of tropical forest in the Brazilian Amazon: The case of Vilhena, Rondônia
Article
openAccess
oai:kuscholarworks.ku.edu:1808/87192018-04-05T03:56:30Zcom_1808_118com_1808_65com_1808_54com_1808_1069com_1808_8717col_1808_119col_1808_10044col_1808_7465col_1808_8718
Cordeiro, Ricardo
Donalisio, Maria Rita
Andrade, Valmir R.
Mafra, Ana C. N.
Nucci, Luciana B.
Brown, J. Christopher
Stephan, Celso
2012-02-07T21:53:44Z
2012-02-07T21:53:44Z
2011-05-20
Ricardo Cordeiro, Maria R. Donalisio, Valmir R. Andrade, Ana C.N. Mafra, Luciana B. Nucci, John C. Brown and Celso Stephan. 2011. Spatial distribution of the risk of dengue fever in southeast Brazil, 2006-2007. BMC Public Health 11:355. http://dx.doi.org/10.1186/1471-2458-11-355
http://hdl.handle.net/1808/8719
10.1186/1471-2458-11-355
Background
Many factors have been associated with circulation of the dengue fever virus and vector, although the dynamics of transmission are not yet fully understood. The aim of this work is to estimate the spatial distribution of the risk of dengue fever in an area of continuous dengue occurrence.
Methods
This is a spatial population-based case-control study that analyzed 538 cases and 727 controls in one district of the municipality of Campinas, São Paulo, Brazil, from 2006-2007, considering socio-demographic, ecological, case severity, and household infestation variables. Information was collected by in-home interviews and inspection of living conditions in and around the homes studied. Cases were classified as mild or severe according to clinical data, and they were compared with controls through a multinomial logistic model. A generalized additive model was used in order to include space in a non-parametric fashion with cubic smoothing splines.
Results
Variables associated with increased incidence of all dengue cases in the multiple binomial regression model were: higher larval density (odds ratio (OR) = 2.3 (95%CI: 2.0-2.7)), reports of mosquito bites during the day (OR = 1.8 (95%CI: 1.4-2.4)), the practice of water storage at home (OR = 2.5 (95%CI: 1.4, 4.3)), low frequency of garbage collection (OR = 2.6 (95%CI: 1.6-4.5)) and lack of basic sanitation (OR = 2.9 (95%CI: 1.8-4.9)). Staying at home during the day was protective against the disease (OR = 0.5 (95%CI: 0.3-0.6)). When cases were analyzed by categories (mild and severe) in the multinomial model, age and number of breeding sites more than 10 were significant only for the occurrence of severe cases (OR = 0.97, (95%CI: 0.96-0.99) and OR = 2.1 (95%CI: 1.2-3.5), respectively. Spatial distribution of risks of mild and severe dengue fever differed from each other in the 2006/2007 epidemic, in the study area.
Conclusions
Age and presence of more than 10 breeding sites were significant only for severe cases. Other predictors of mild and severe cases were similar in the multiple models. The analyses of multinomial models and spatial distribution maps of dengue fever probabilities suggest an area-specific epidemic with varying clinical and demographic characteristics.
This research was supported by São Paulo Research Foundation (FAPESP), Brazil, as part of a Thematic Project.
Biomed Central
© 2011 Cordeiro et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
http://creativecommons.org/licenses/by/2.0
openAccess
Spatial distribution of the risk of dengue fever in southeast Brazil, 2006-2007
Article
Brown, J. Christopher
Geography
Environmental Studies
fullparticipation
Scholarly/refereed, publisher version
This item meets KU Open Access policy criteria.
oai:kuscholarworks.ku.edu:1808/109062018-04-04T04:26:31Zcom_1808_118com_1808_65com_1808_54com_1808_1069com_1808_8717col_1808_119col_1808_10044col_1808_7465col_1808_8718
Brown, J. Christopher
Koeppe, Matthew
2013-03-11T15:56:19Z
2013-03-11T15:56:19Z
2013-02
J. Christopher Brown and Matthew Koeppe. 2013. Debates in the Environmentalist Community: The soy moratorium and the construction of illegal soybeans in the Brazilian Amazon. In Environment and the Law in Amazonia: A Plurilateral Encounter. (Eds. James M. Cooper and Christine Hunefeldt). Sussex: Sussex Academic Press. Pp. 110-126.
978-1-84519-500-7
http://hdl.handle.net/1808/10906
en
Sussex Academic
Brazil
Soybeans
Amazon
Neoliberal
Governance
Environment
Debates in the Environmentalist Community: The soy moratorium and the construction of illegal soybeans in the Brazilian Amazon
Article
openAccess
Brown, J. Christopher
Geography
fullparticipation
Scholary, edited volume
This item meets KU Open Access policy criteria.
oai:kuscholarworks.ku.edu:1808/126032018-10-30T17:11:41Zcom_1808_118com_1808_65com_1808_54com_1808_1069com_1808_8717col_1808_119col_1808_10044col_1808_7465col_1808_8718
Brown, J. Christopher
Oliveira, Marcio Luiz de
2013-12-30T23:16:57Z
2013-12-30T23:16:57Z
2013
Brown, J. Christopher, and Marcio Luiz de Oliveira. "The impact of agricultural colonization and deforestation on stingless bee (Apidae: Meliponini) composition and richness in Rondônia, Brazil." Apidologie: 1-17. http://dx.doi.org/10.1007/s13592-013-0236-3
http://hdl.handle.net/1808/12603
10.1007/s13592-013-0236-3
https://orcid.org/0000-0002-3950-1086
This is the author's accepted manuscript, made available in KU ScholarWorks with the permission of the publisher. The final publication is available at http://dx/doi.org/10.1007/s13592-013-0236-3
Stingless bees were collected throughout the state of Rondônia in the southwestern Brazilian Amazon for one year. The impact of agricultural colonization and subsequent deforestation on species composition and richness is explored. Deforestation, around each of 187 sample sites, was characterized at meso, micro, and local spatial scales. At the micro-scale, deforestation was measured using a data layer generated by satellite remote sensing and analyzed with the assistance of a geographic information system. We report perhaps the greatest richness of stingless bees ever recorded in the tropics, collecting 9,555 individuals from 98 species of stingless bees. Ten of these are new species and 16 were first-ever records for Rondônia. Five new species were scientifically described from the study. We report statistical relationships between deforestation and species richness at all spatial scales of analysis, and we tentatively identify species that appear to be especially sensitive to deforestation.
DHV-BV Consultants; World Bank; College of Liberal Arts and Sciences of the University of Kansas
en_US
Springer
doi:10.1007/s13592-013-0236-3
The impact of agricultural colonization and deforestation on stingless bee (Apidae: Meliponini) composition and richness in Rondônia, Brazil
Article
openAccess
Brown, J. Christopher
Geography
fullparticipation
Scholarly/refereed, author accepted manuscript
This item meets KU Open Access policy criteria.