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Studies On The Potential Distribution Of Triarrhena Sacchariflora (Maxim).Nakai And Triarrhena Lutarioriparia L.Liu In China

Posted on:2013-06-23Degree:MasterType:Thesis
Country:ChinaCandidate:S LiaoFull Text:PDF
GTID:2230330374470826Subject:Land Resource Management
Abstract/Summary:PDF Full Text Request
Based on temperature and precipitation factors, using the model of Maxent, we have predicted potential distribution of the Triarrhena sacchariflora (Maxim).Nakai and Triarrhena lutarioriparia L.Liu in china, which were analysed and evaluated with the divided of flora. Finally, some proposals have been offered to develop M.sacchariflora and M.lutarioriparia on the potential distribution. The main results are as following:1、The potential distribution of the M.sacchariflora and M.lutarioriparia has been predicted by the model of Maxent. The result shows that, the potential distribution area for M.sacchariflora covers west Heilongjiang, west Jilin, Inner Mongolia,north Hebei, Ningxia, Gansu, east Qinhai, east Sichuan, east Yunnan, Guizhou, south Hubei, Hunan, Jiangxi, Zhejiang, Jiangsu, Fujian, Guangxi and Guangdong and so on; The potential distribution area for M.lutarioriparia includes south Hebei, Shandong, north Henan, south Shanxi, south Gansu, east Sichuan, Chongqing, Guizhou, south Hunan, south Jiangxi and south Jiangsu and so on.2、The mainly environmental factors for M.sacchariflora consist of temperature seasonality (23.2%), average precipitation in July (22.6%), precipitation in the wettest quarter (14.5%), average minimum temperature in July (8.7%), mean temperature in the moistest quarter (7.6%), average precipitation in August (5.6%), mean temperature in the driest quarter (3.9%). Their acumulative contribution rate is86.1%. The prime environmental factors for M.lutarioriparia includes precipitation in the wettest quarte-r (22.3%), average minimum temperature in July (18.9%), mean precipitation in June (18.2%), temperature seasonality (17.8%), precipitation in the driest quarter (3.7%), average maxmum temperature in December(2.8%), the mean temperature in the driest quarter (2.6%). The accumulative contribution rate is86.3%. The AUC results of the M.sacchariflora and M.lutarioriparia are0.996and0.999, they show that the results have high reliability.3、Combined the climate data of sampling points and further analysed the response curve of meteorological factors obtained the ecological amplitude for M.sacchariflora as follows, The temperature seasonality is greater than8000. The average precipitation is about100mm-350mm in July. The precipitation of Wettest Quarter is about0mm-350mm and the average minimum temperature is about15℃ in July. The mean temperature of moistest quarter is between10and30℃. The average precipitation is about100mm-300mm in August. The mean temperature of driest quarter is between-10and20℃. M.lutarioriparia ecological amplitude as follows, the precipitation of Wettest Quarter is about250mm-1000mm. The average minimum temperature is between17℃and28℃in July. The mean precipitat-ion is50mm-550mm in June. The temperature seasonality is between6000and12000. The precipitation of driest quarter is bellow80mm. The average maxmum temperature in December is between2℃and17℃. The mean temperature in the driest quarter is between-3℃and4℃.4、According to the evaluation and analysis of poteneial distribution for M.sacchariflora and M.lutarioriparia, we put forward the corresponding suggestion to develop energy crops on the marginal land.
Keywords/Search Tags:Triarrhena sacchariflora(Maxim).Nakai, Triarrhena lutarioripariaL.Liu, Potential distribution, Ecological amplitude, Maxent model
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