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Optimal Function Explains Forest Responses to Global Change

机译:最优函数说明森林对全球变化的响应

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Plant responses to global changes in carbon dioxide (CO2), nitrogen, and water availability are critical to future atmospheric CO2 concentrations, hydrology; and hence climate. Our understanding of those responses is incomplete, however. Multiple-resource manipulation experiments and empirical observations have revealed a diversity of responses, as well as some consistent patterns. But vegetation models-currently dominated by complex numerical simulation models-have yet to achieve a consensus among their predicted responses, let alone offer a coherent explanation of the observed ones. Here the propose an alternative approach based on relatively simple optimization models (OMs). We highlight the results of three recent forest OMs, which together explain a remarkable range of observed forest responses to altered resource availability. We conclude that OMs now offer a simple yet powerful approach to predicting the responses of forests-and, potentially; other plant types-to global change. We recommend ways in which OMs could be developed further in this direction.
机译:植物对二氧化碳,氮和水可利用量的全球变化的反应对于未来大气中二氧化碳的浓度,水文状况至关重要;因此气候。但是,我们对这些响应的理解还不完整。多资源操作实验和经验观察已揭示了各种响应以及一些一致的模式。但是,目前由复杂的数值模拟模型主导的植被模型尚未在它们的预测响应之间达成共识,更不用说对观测到的响应做出连贯的解释了。在此,提出了一种基于相对简单的优化模型(OM)的替代方法。我们重点介绍了三个最新的森林OM的结果,它们共同解释了观察到的森林对资源可利用性变化的反应范围之广。我们得出的结论是,OM现在提供了一种简单而强大的方法来预测森林的响应,并且有可能;其他工厂类型-以应对全球变化。我们建议可以在这个方向上进一步开发OM的方法。

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