本文選題：土壤呼吸 + 施氮　； 參考：《生態(tài)學報》2017年16期

【摘要】：目前開展的施氮對土壤呼吸影響研究大多基于實驗觀測結果,受實驗地自然條件的限制,不能研究在一定條件范圍內土壤呼吸對施氮響應的連續(xù)變化。通過噴灑NH_4NO_3水溶液,設置對照(C,no N added),低氮(L,5 gNm~(-2)a~(-1)),中氮(M,15gNm~(-2)a~(-1)),高氮(H,30 gNm~(-2)a~1)4種處理水平,使用GA-BP人工神經(jīng)網(wǎng)絡建立樟樹林土壤呼吸對施氮響應的模型,并將模擬結果使用響應曲面法展示,研究土壤呼吸對施氮響應的變化。研究結果表明,施氮對樟樹林土壤呼吸既有抑制作用又有促進作用,其程度是由土壤溫濕度條件決定的,總體上使得施氮對土壤呼吸在低土壤濕度的條件下主要表現(xiàn)為促進作用,在高土壤濕度條件下主要表現(xiàn)為抑制作用,在一部分土壤溫濕度組合下表現(xiàn)為無明顯作用。GA-BP人工神經(jīng)網(wǎng)絡模型以其特性,可以模擬土壤呼吸對施氮響應的連續(xù)變化,并在一定程度上解釋了施氮量、土壤呼吸、土壤溫度和土壤濕度之間復雜的數(shù)學關系。
[Abstract]:Most of the current studies on the effects of nitrogen application on soil respiration are based on the results of experimental observation, but limited by the natural conditions of the experimental site, the continuous changes of soil respiration response to nitrogen application can not be studied within a certain range of conditions.The response of soil respiration to nitrogen application in camphor forest was established by using GA-BP artificial neural network (Ann) by spraying NH_4NO_3 aqueous solution, setting up a model of soil respiration response to nitrogen application in camphor forest by using GA-BP artificial neural network, setting up a model of soil respiration response to nitrogen application in camphor forest by using GA-BP artificial neural network, and setting up a model of soil respiration response to nitrogen application in camphor forest by means of GA-BP artificial neural network, and using the response surface method to demonstrate the response of soil respiration to nitrogen application in camphor forest, and the response surface method was used to show the response of soil respiration to nitrogen application in camphor forest.The response of soil respiration to nitrogen application was studied.The results showed that nitrogen application could inhibit and promote soil respiration in camphor forest, and its degree was determined by soil temperature and humidity.On the whole, nitrogen application mainly promoted soil respiration under low soil moisture, and inhibited soil respiration under high soil moisture.Under some combinations of soil temperature and humidity, the artificial neural network model showed no obvious effect. GA-BP artificial neural network model, with its characteristics, could simulate the continuous changes of soil respiration response to nitrogen application, and to some extent explained the amount of nitrogen application and soil respiration.The complex mathematical relationship between soil temperature and soil moisture.
【作者單位】： 中南林業(yè)科技大學;南方林業(yè)生態(tài)應用技術國家工程實驗室;廣西壯族自治區(qū)林業(yè)科學研究院;
【基金】：國家林業(yè)公益性行業(yè)科研專項(201404316) 林業(yè)科技創(chuàng)新平臺運行補助項目(2016-LYPT-DW-069) 湖南省自然科學創(chuàng)新研究群體基金(湘基金委字[2013]7號) 國家林業(yè)局軟科學研究項目(2013-R09) 湖南省教育廳一般項目(15C1431) 湖南省研究生科研創(chuàng)新項目(CX2015B296) 中南林業(yè)科技大學研究生科技創(chuàng)新基金(CX2015B17) 城市森林生態(tài)湖南省重點實驗室資助
【分類號】：S714

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