@Article{ResendeMiraChouCook:2016:EfCoPr,
author = "Resende, Nicole and Miranda, J. H. and Chou, Sin Chan and Cooke,
R. A.",
affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {Universidade de
S{\~a}o Paulo (USP)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {University of Illinois}",
title = "Regional climate change and drainage systems: effects on corn
productivity and profitability in campinas, brazil",
journal = "Transactions of the American Society of Agricultural and
Biological Engineers",
year = "2016",
volume = "59",
number = "6",
keywords = "Climate change, Corn productivity, Drainage system, Eta model,
SISDRENA model.",
abstract = "Many natural systems are being affected by regional climate
change. The hypothesis of this article is that regional climate
change may affect the profitability and productivity of corn,
which may require changes in the optimum de - sign of drainage
systems in the future. Our aim is to determine the effects of
regional climate change on the relationship between drain spacing,
corn productivity, and profitability and to derive estimates of
productivity and profitability until the year 2100 using different
future scenarios of climate simulation (CNTRL, HIGH, LOW, and
MIDI). Our goal is to opti - mize drainage system designs that
account for changes in climate using different drain spacing and
types of soil in Campinas, Brazil. This study also evaluates the
performance of the Eta regional climate model to simulate
precipitation and air temperature for the study area.
Evapotranspiration calculated with the Thornthwaite method (using
observed and simu - lated data) and precipitation data were used
as input for the SISDRENA model, which evaluates the performance
of onedimensional drainage systems. As output, the SISDRENA model
provides information about drainage system design and indexes of
water stress, productivity, and profitability. The general
conclusion is that the Eta model is a good tool for studying the
effects of climate change in the region because the simulations
approximated the observed data. All sets of analyzed years
indicated that a spacing of 20 m between drains was best,
producing the highest average productivity and profitability. Clay
loam soils tended to have higher productivity and profitability
than clay soils, which translates to greater profit for the
producer. However, the temperature and precipitation variations
predicted by the Eta model showed that corn profitability may be
reduced, changing the potential productivity in Campinas,
Brazil.",
doi = "10.13031/trans.59.11588",
url = "http://dx.doi.org/10.13031/trans.59.11588",
issn = "2151-0032",
language = "en",
targetfile = "resende_regional.pdf",
urlaccessdate = "03 jun. 2024"
}