1994
DOI: 10.1016/0306-9192(94)90068-x
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Climate change: some likely multiple impacts in Southern Africa

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Cited by 63 publications
(38 citation statements)
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“…Recorded impacts of previous droughts on mammalian populations showed shifts in geographic ranges and shifts in community structure. Because the rates of response were slower than rates postulated to occur under global warming, and because the GCMs predicted higher temperatures than those found during the droughts, Magadza (1994) concluded that large mammals were likely to be threatened by climate change.…”
Section: African Wildlifementioning
confidence: 99%
“…Recorded impacts of previous droughts on mammalian populations showed shifts in geographic ranges and shifts in community structure. Because the rates of response were slower than rates postulated to occur under global warming, and because the GCMs predicted higher temperatures than those found during the droughts, Magadza (1994) concluded that large mammals were likely to be threatened by climate change.…”
Section: African Wildlifementioning
confidence: 99%
“…Agronomic models are useful for understanding the biophysical responses as well as indicating various technological and adaptation options that would offset the negative effects of climate change and positively increase yields. Studies that applied crop simulation modeling to estimate CC impacts on African agriculture include: Muchena (1994), Magadza (1994), Makadho (1996) Using results from agronomic models, economic impacts such as changes in area allocations, output supply and resulting changes in prices by crop and region are then estimated. The economic component of these models attempts to optimize consumer and producer welfare subject to climatic and other factors (Easterling et al, 1993;Darwin et al, 1994;Chang, 2002; Kumar and Parikh, 2001;Iglesias et al 1999;Rosenzweig and Parry, 1994).…”
Section: Observed Climate Change Patterns and Impacts On African Agrimentioning
confidence: 99%
“…Agronomic models are useful for understanding the biophysical responses as well as indicating various technological and adaptation options that would offset the negative effects of climate change and positively increase yields. Studies that applied crop simulation modeling to estimate CC impacts on African agriculture include: Muchena (1994), Magadza (1994), Makadho (1996), Schulze et al (1993) and Du Toit et al (2002. A study by Mendelsohn et al (2000b) made an attempt to assess likely impacts of CC on African agriculture but relied on experimental data and models from the US.…”
Section: Observed Climate Change Patterns and Impacts On African Agrimentioning
confidence: 99%
“…For instance Muchena (1994) and Magadza (1994) showed that a 2ºC rise in ambient temperature and a rise of mean temperature by 4ºC significantly lowered yields. In another study, Makadho (1996) assessed the potential effects of climate change on corn, using a Global Circulation Model (GCM) and the dynamic crop growth model CERES-maize, and the results indicated that maize production was expected to significantly decrease by approximately 11-17%, under conditions of both irrigation and non-irrigation.…”
Section: Introductionmentioning
confidence: 99%