@Article{FortiNealJenk:1995:MoPeDe,
author = "Forti, Maria Cristina and Neal, C. and Jenkins, A.",
affiliation = "{CPTEC-INPE-Cachoeira Paulista-12630-000-SP-Brasil}",
title = "Modeling perspective of the deforestation impact in stream
water-quality of small preserved forested areas in the Amazonian
rain-forest",
journal = "Water, Air, and Soil Pollution",
year = "1995",
volume = "79",
number = "1-4",
pages = "325--337",
month = "jan.",
keywords = "acid deposition, afforested catchments, throughfall chemistry,
climate change, rain-forest, acidification.",
abstract = "A long-term predictive model, MAGIC, was applied to a Central
Amazonian catchment area to illustrate large scale deforestation
effects on 'islands' of preserved areas, for the situations with
and without climate changes. In addition, model sensitivity in
response to different organic matter levels in the soil and stream
waters as well as to different Al solubility constants was
evaluated. The model output was strongly dependent on the chosen
values of organic matter concentration and Al solubility constant.
Application of the model to a 30 yr deforestation program revealed
increases in streamwater ionic concentrations with or without
climate change, although streamwater ionic concentrations were
predicted to be higher as a consequence of climate change. On the
centennial scale, streamwater ionic concentrations reach a new
equilibrium, with concentrations higher than those prior to the
surrounding deforestation. With the assumed increased cation
deposition to the preserved forest areas, soil exchangeable cation
concentrations increase with time and aluminum is released to
solution. At the end of the simulated deforestation program, SO42-
in the preserved areas began to be released to streamwater,
inducing acidification. Application of the MAGIC model makes
possible to estimate, for the rainforest environment, water
quality changes as a function of different climate and land use
changes.",
copyholder = "SID/SCD",
issn = "0049-6979",
language = "en",
targetfile = "Forti_Modeling perspective.pdf",
urlaccessdate = "27 abr. 2024"
}