کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6961893 1452242 2018 31 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A hybrid process based-empirical approach to identify the association between wheat productivity and climate in the North China Plain during the past 50 years
ترجمه فارسی عنوان
یک روش ترکیبی فرایند مبتنی بر تجربی برای شناسایی رابطه بین بهره وری گندم و آب و هوا در دشت شمال چین طی 50 سال گذشته
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزار
چکیده انگلیسی
China is anticipated to face reductions in crop yield due to climate change. Combining a process-based agricultural model (APSIM) with a simplified empirical model, we investigate the association between wheat productivity and climate variables in the North China Plain (NCP) over the period 1960-2010. The results show that the spatial distribution of wheat productivity across NCP is negatively related to daily maximum temperature but positively to daily minimum temperature, solar radiation and precipitation. For most parts of the NCP, partial correlation analysis based on the APSIM simulation outputs indicates that the increasing daily minimum temperature could lead to higher productivity but the effects are counteracted by increases in daily maximum temperature. In the drier northern NCP, wheat productivity is largely discounted due to decreases in precipitation, while in the humid southern edge of the NCP, the productivity stimulation effect of warming is offset by dimming.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Environmental Modelling & Software - Volume 108, October 2018, Pages 72-80
نویسندگان
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