تغییرات فصلی در عمق جذب آب برای کشت و زرع درخت کاج نیمه گرمسیری در منطقه موسمی شرق آسیا را به خشکسالی قرار
Seasonal variations in depth of water uptake for a subtropical coniferous plantation subjected to drought in an East Asian monsoon region
نویسندگان |
این بخش تنها برای اعضا قابل مشاهده است ورودعضویت |
اطلاعات مجله |
Agricultural and Forest Meteorology,Volume 207 |
سال انتشار |
2015 |
فرمت فایل |
PDF |
کد مقاله |
21907 |
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چکیده (انگلیسی):
Seasonal drought will become more intense and frequent in some regions due to global climate change, which may lead to significant changes in the competitive interactions and uptake depths of plant water sources. Based on δ18O and δD in xylem and soil water, we investigated the impacts of seasonal drought on plant water sources from July 2011 to October 2013 for a subtropical coniferous plantation in southeastern China. Our results indicated that the studied tree species of Pinus massoniana, Pinus elliottii and Cunninghamia lanceolata appeared to have inter-specific competition for water resources from similar depths. There was a switch of the major water source from shallow soil during the non-drought periods (July to October) to deep soil during the drought periods (November–June). Similar seasonal trend of water uptake was estimated by δ18O and δD. However, relative to the results of δD, water sources predicted by δ18O showed that trees seemed to derive more deep soil water during the drought periods and more shallow soil water during the non-drought periods. The differences of plant water source partitioning based on δ18O and δD were significant during both the drought and non-drought periods, which probably resulted from the artifacts of the cryogenic vacuum distillation and spectral contamination correction. These findings will have important implications for further studies when just one of the dual stable isotopes of δ18O and δD is applied.
کلمات کلیدی مقاله (فارسی):
شبکه های عصبی مصنوعی؛ بازیدیوسپور؛ گانودرما؛ آلرژی استنشاقی؛ درخت رگرسیون چند متغیره؛ لایه سطحی
کلمات کلیدی مقاله (انگلیسی):
Artificial neural network; Basidiospore; Ganoderma; Inhalant allergy; Multivariate regression tree; Surface layer
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