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  3. One of the obvious problems with predicting the future effects of climate ch

One of the obvious problems with predicting the future effects of climate ch

游客2024-11-25  4
问题     One of the obvious problems with predicting the future effects of climate change is that they haven’t happened. This makes climate studies highly dependent on models, which invariably and unavoidably make simplifying assumptions. This means that using their results to say anything of practical import needs care and caveats, both of which can often be in short supply, or stripped out to make a point.
    However, it is now ever more possible for studies of climate change to look at the past, not the future. The 20th century saw a fair amount of warming, and it is sometimes possible to compare what this warming did and didn’t do with what future warming might or might not do. This is what a paper published in Nature this week does in an attempt to re-examine, and perhaps close down, long-running debates about malaria and climate change.
    Both the malaria parasite and the mosquitoes which spread it respond to temperature and moisture. Understanding those responses makes it possible to model what changes in climate might mean to the incidence of the disease. Such models have suggested that in a warmer world the area subject to endemic malaria would increase, perhaps quite a lot, though some places would see a reduction due to increased aridity. The caveats here include noting that the climate models can make no great claims to accuracy at the regional level and that such an approach does almost nothing to deal with changes in land use, wealth and public health programs.
    One of the main thrusts of the new Nature paper is to see how much of what happened to the spread of malaria in the 20th century can be explained by what happened to the climate. The answer, according to Peter Gething of Oxford University and his colleagues, is not much. They conclude that claims that a warming climate has led to more widespread disease and death due to malaria are largely at odds with the evidence, which shows the areas effected shrinking, and the size of the effect shrinking too. Increases in the spread and severity of the disease burden foreseen over the next 40 years by the biological models are far smaller than the decreases in comparable measures seen over the past century.
    The second tack of their argument is to compare the sort of effect seen in biology-based models of where malaria might spread with both models of and data on the effects direct intervention against the disease can have. Again the effects due to climate are small, even negligible, compared with the effects that interventions have achieved already and might achieve in decades to come. The marginal areas where climate might enlarge the area at risk are also, the article argues, the areas where the greatest declines in transmission have recently been seen thanks to increased intervention.
    The conclusion is clear. People who are thinking about what to do about malaria should bear in mind that the biological basis of its distribution may change in a warmer world. Those thinking about the overall danger that climate change represents should not spend their time worrying about its impact on malaria.
    Is there a wider conclusion to draw about computer models such as those that underlay frightening statements about malaria in a climate-changed world? Perhaps; but like the models themselves, it comes with caveats.
    Scientists tend to model what can be modeled, and natural scientists, in particular, tend to prefer models that incorporate at least some aspects of the underlying processes which they are interested in, rather than working purely on empirical correlations. This means that if you search the scientific literature for approaches to the future, you will tend to find answers based on natural processes. If other knowledge suggests that natural processes aren’t the most important aspect of the problem at hand, then it’s a good idea to look at the models with that provision in the forefront of your mind.
    The other vital lesson is that the caveats matter. Pretty much every paper presenting a biology-based model of malaria’s dependence on climate contains a warning that changes in economy, technology and society matter too, and aren’t in the model. To transmit the model’s results without important caveats is reckless.
    If one is going to be optimistic about the future of malaria, one might also, with caution, be optimistic about the future of assessments of climate change. Things can, over time, get better, especially when the record of what has happened to date gets taken seriously. They will do so quicker if people accept both the usefulness and limits of models of the future, as well as the appeal of models of the past.  [br] What conclusion might be drawn about current models on malaria and climate change from the third paragraph?
选项 A、They do not take other factors like human interventions into consideration.
B、They compare the effect predicted in the future with that of the past.
C、They predict the result precisely even at regional level but do not claim it.
D、They believe that malaria increases in case of drought.
答案 A
解析 推断题。第三段最后一句的后半句指出，该类模型没有考虑到土地使用的变动、财产和公共卫生计划等因素，而这些都有明显的人为干预的痕迹，故[A]正确。由前两段可知，该类模型的研究是以未来为导向的，并未和过去的影响作对比，故排除[B]；第三段最后一句的前半句提到，该类模型无法达到区域级的准确性，故排除[C]；第三段第三句指出，该模型表明温度越高，疟疾暴发的可能性就越大，而一些地方会因为干旱使疟疾的流行范围减小，故排除[D]。
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