基于maxent和arcgis對(duì)于稀土礦區(qū)黑莎草的分布預(yù)測(cè)畢業(yè)論文-文庫(kù)吧
2025-06-06 15:21 本頁(yè)面
【正文】 tion point for example, the maximum entropy model (MaxEnt), bined with geographic information system (ArcGis), according to the variable gahnia tristis in 56 geographic distribution in Bio known and 19 in their environment, prediction Southern Bio and the southwest region of Bio in the distribution of the distribution of the glacial period and the future in 2080, the distribution and the forecast results with them in the current distribution area were pared, to provide the help and Study on grass species distribution Heisha set for the future were carried out at home and abroad, and the study of environmental factors in the study of species the influence of the distribution of providing data support! 目錄 III 目錄 摘要 Ⅰ Abstract Ⅱ 緒論 1 第一章 數(shù)據(jù)與方法 3 1 .1 數(shù)據(jù)來(lái)源 3 1. 2 使用軟件 4 1. 3 運(yùn)算方法 5 1. 4 研究區(qū)概況 6 第二章 結(jié)果與分析 7 2. 1 影響黑莎草分布的因素與變量 7 2. 2 黑莎草的在當(dāng)下分布 9 2. 3 黑莎草在 2080 年的分布預(yù)測(cè) 10 2. 4 黑莎草在冰川時(shí)期的分布預(yù)測(cè) 11 2. 5 黑莎草不同時(shí)期分布數(shù)據(jù)結(jié)果的比較與分析 12 討論 183
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