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首页> 外文期刊>Climatic Change >Prediction of changes in soil moisture associated with climatic changes and their implications for vegetation changes: Waves model simulation on Taihang Mountain, China
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Prediction of changes in soil moisture associated with climatic changes and their implications for vegetation changes: Waves model simulation on Taihang Mountain, China

机译:与气候变化有关的土壤水分变化预测及其对植被变化的影响:中国太行山的波浪模型模拟

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The WAVES model was used to simulate the effect of global warming on soil moisture on the semi-arid Taihang Mountain in China. Parameters of the WAVES model were first adjusted according to soil moisture data from a field global warming experiment. Then, the reliability of WAVES in predicting soil moisture changes induced by climatic change was confirmed by comparing the simulated and observed soil moisture values under different climatic conditions and plant growth rates of another field treatment. Next, 10 climate change scenarios incorporating increases in temperature and changes in precipitation were designed. When a simulation was conducted using the leaf area index (LAI) growth pattern from a field experiment under the present climatic conditions, the results suggested that the combination of temperature increase and precipitation decrease would greatly decrease soil water content throughout the entire simulation period. On the other hand, only when precipitation increased by 20% and temperature increased by 2 degreesC, the effect of precipitation increase on soil moisture was obviously positive. Although soil moisture conditions in the T2P1 (temperature increase by 2degreesC and precipitation increase by 10%) and T4P2 (temperature increase by 4degreesC and precipitation increase by 20%) scenarios were slightly better during the rainy season and not much changed before the rainy season, the positive effect of 10% precipitation increase on soil moisture was totally offset by moisture decrease caused by a 4degreesC temperature increase in the T4P1 scenario. At the same time, the trends of soil-moisture change were highly coincident with predicted changes in productivity. Finally, the predicted LAI values from other studies were combined with the climatic change scenarios and used in the simulation. The results showed that changes in LAI alleviated, at least to some extent, the effects of temperature and precipitation changes on soil moisture.
机译:WAVES模型用于模拟全球变暖对中国半干旱太行山土壤水分的影响。首先根据田间全球变暖实验的土壤湿度数据调整WAVES模型的参数。然后,通过比较不同气候条件和另一田间处理的植物生长速率下模拟和观察到的土壤水分值,证实了WAVES在预测气候变化引起的土壤水分变化中的可靠性。接下来,设计了10个气候变化情景,其中包括温度升高和降水变化。当在当前气候条件下使用田间试验的叶面积指数(LAI)生长模式进行模拟时,结果表明温度升高和降水减少的组合将在整个模拟期间大大降低土壤含水量。另一方面,只有当降水增加20%,温度增加2℃时,降水增加对土壤水分的影响才明显为正。尽管T2P1(温度升高2摄氏度,降水增加10%)和T4P2(温度升高4摄氏度,降水增加20%)的土壤湿度条件在雨季略有改善,并且在雨季之前变化不大,在T4P1情景中,温度增加4℃导致水分减少,抵消了降水增加10%对土壤水分的积极影响。同时,土壤水分变化趋势与预测的生产力变化高度一致。最后,将其他研究的预测LAI值与气候变化情景相结合,并用于模拟。结果表明,LAI的变化至少在一定程度上减轻了温度和降水变化对土壤水分的影响。

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