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作 者:赵红梅[1] 陈晓玲[2] 徐冰[3,4] 冯炼[2]
机构地区:[1]江西师范大学鄱阳湖湿地与流域研究教育部重点实验室,南昌330022 [2]武汉大学测绘遥感信息工程国家重点实验室,武汉430079 [3]清华大学环境学院,北京100084 [4]北京师范大学全球变化与地球系统科学研究院,北京100875
出 处:《生态学报》2017年第8期2828-2837,共10页Acta Ecologica Sinica
基 金:国家高技术研究发展计划(863计划)项目(2012AA12A407);国家自然科学基金项目(41101341;41461079)
摘 要:环鄱阳湖湿地是东亚重要的冬候鸟栖息地,由于湿地内部分区接纳水源的不同,人为活动及地表类型的差异,使得该区冬候鸟数量的时空分布特征相对复杂。综合利用遥感数据、冬候鸟航空调查数据及气象观测数据,借助分区相关性统计分析方法,研究不同尺度环鄱阳湖湿地年内水热要素对冬候鸟数量时空分布特征的影响;通过水文要素之间的相关性分析以及地表温度的时空分布格局研究,探索水热要素之间的耦合关系,进而揭示鄱阳湖区年内水热条件变化对冬候鸟数量时空分布特征的影响机制。研究发现:12月份气温是影响鄱阳湖湿地冬候鸟数量时空分布特征的驱动因素;受分区农业及生态特征的影响,水文条件的年内变异成为影响鄱阳湖冬候鸟数量时空分布特征的决定因素。研究结果为环鄱阳湖湿地冬候鸟栖息地的保护提供决策依据。Poyang Lake wetland is a key wintering habitat for migratory birds in East Asia, where the spatio-temporal pattern of migratory bird populations (STP-MB) is complex. This study used multi-source data from MODIS (NASA) from 2000 to 2010, including 10 days/nights of MODIS composite images of land surface temperature data (MODLT1T, provided by International Scientific & Technical Data Mirror Site, Computer Network Information Center, Chinese Academy of Sciences (http ://www.gscloud.cn) ) , annual aerial survey data of migratory birds from 2001 to 2009, and meteorological data. Inter-annual variation in hydro-thermal factors (IAV-HT) and the correlation with migratory bird populations was analyzed at multi-spatial scales to examine the influence of IAV-HT on the STP-MB. Correlation between precipitation and water area, and the spatial pattern of land surface temperature was analyzed to assess coupling correlations within hydro-thermal factors. The final impact of IAV-HT on the STP-MB was revealed by the aforementioned coupling analysis. We found that the atmospheric temperature in December was the driving factor behind bird migration; and inter-annual changes in hydrological conditions were the determining factors of STP-MB, which was influenced by agricultural activities and ecological conditions in subzones. This research contributes towards the protection of migratory birds in Poyang Lake.
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