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Record W4200120276 · doi:10.26512/2017.02.t.23360

O agrohidronegócio do pivô central no estado de Goiás : expansão, espacialização e a consequente degradação do subsistema de Veredas

2017· dissertation· pt· W4200120276 on OpenAlexfundno aff
Renato Adriano Martins

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldEnvironmental Science
TopicRural Development and Agriculture
Canadian institutionsnot available
FundersPartenariat Canadien Contre Le Cancer
KeywordsBiomeGeographyAgribusinessAgricultural scienceCenter pivot irrigationAppropriationIrrigationForestryWelfare economicsAgricultureBusinessEconomicsEnvironmental scienceEcosystemEcologyArchaeology

Abstract

fetched live from OpenAlex

The process of modern occupation, which has been occurring in the Cerrado biome since the 1970s, due to the discovery of new technologies that allowed the reduction of soil acidity, together with the intense investments and incentives granted by the state and federal governments, triggered a process of conversion of the original vegetation, which has been replaced very quickly by the practices of agro-export monoculture and in recent years, the incessant search for greater profits has made agribusiness study techniques that maximize profits, for this purpose, seeks to produce at different times of the year. In this way, agricultural practices were modernized and using the technique of irrigation, with the intense appropriation of water resources, called agro-hydro-business, mainly by central pivot sprinkler type, has leveraged production and as a consequence, profits were maximized. However, the exacerbated increase in this practice has caused a number of negative environmental impacts in the Cerrado biome and as a consequence, in its phytophysiognomies, with emphasis on the Vereda subsystem, an environment that, when preserved, is of great importance for water balance. In recent years, that system has been replaced by reservoirs that intended to supply the central pivot. Therefore, the present work aimed to show the expansion of the central pivot agro-business in the State of Gois since the first units in the first half of the 1980s to the year 2016. It also sought to demonstrate the spatial distribution of the central pivot in the Counties and fifth-order hydrographic basins in the State of Gois in the year 2016. Finally, the main contribution of the reservoirs built to supply the central pivot was to quantify the degradation of the Vereda subsystem. In order to reach this objective, the following methodological procedures were used: bibliographic review, field research, GIS data in the vector format pivot supply in the degradation of the Vereda subsystem from the Agroecological and Economic Macrozoning of the State of Gois; original scale of 1: 100,000; LANDSAT -MSS satellite image dating from 1982; LANDSAT -TM dating from the years 1986, 1991, 1996, 2001, 2006 and 2001; In addition to the Resourcesat -1 image dated 2016. The research revealed a continuous expansion of the central pivot agro-business in the territory of the State of Gois, with the first two units being installed in the year 1982 and in 2016 there is a total of 3244 central pivot units installed and distributed by 151 Counties in Gois. This vertiginous increase, without due inspection and environmental planning, has caused serious negative impacts on Vereda's PPA (Permanent Protection Area). This fact occurs because the reservoirs, which are used to supply the pivots, are built on Vereda's environment, leading to death. Field work revealed that of a total of 50 randomly selected sites for visitation, 44% were built in a Vereda environment. As a result, it is necessary to review the occupation process that has been submitted to these areas, seeking their preservation and safeguarding them, so that they fulfill their important role of environmental protection and balance of water resources.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.424
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.248
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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