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Sonoran Desert rodent abundance response to surface temperature derived from remote sensing

机译:Sonoran Desert啮齿动物对地面温度的遥感响应

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Nocturnal rodents play a key role in the Sonoran Desert ecosystem as consumers, prey and reservoirs of disease-yet rodent distribution remains poorly mapped. We use surface temperature extracted from the Landsat Thematic Mapper thermal infrared band to model rodent abundance obtained from trapping data at the Organ Pipe Cactus National Monument in southwest Arizona. We produce response curves that describe the effects of surface temperature on species abundance. Daytime surface temperature derived from images collected in June across thirty rodent trapping grids ranged from 318 K (45.0 degrees C) to 332 K (59.2 degrees C). Results show peak seasonal surface temperature splits high species abundances into two groups: Merriam's kangaroo rat, Arizona pocket mouse, desert pocket mouse and southern grasshopper mouse species prefer habitat characterized by higher surface temperatures; and white-throated wood rat, cactus mouse, rock pocket mouse and Bailey's pocket mouse species prefer habitat characterized by lower temperatures. Abundances for the high and low temperature habitat groupings correlate linearly with surface temperature (r = +0.66 and -0.75, respectively, p < 0.001). Surface temperature integrates multiple landscape characteristics (e.g. topography, vegetation cover and soil properties) that define the dominant habitats of ORPI rodents. These results prove that simple models can inform complex ecological processes. (C) 2017 Elsevier Ltd. All rights reserved.
机译:夜间啮齿类动物在索诺兰沙漠生态系统中起着关键作用,因为消费者,猎物和病害啮齿动物分布的水库分布图仍然很差。我们使用从Landsat专题制图仪热红外波段提取的表面温度来模拟从亚利桑那西南部器官管仙人掌国家纪念碑上的捕集数据获得的啮齿动物丰度。我们生成描述表面温度对物种丰富度影响的响应曲线。从六月份在三十个啮齿动物捕获网格上收集的图像得出的白天地表温度范围为318 K(45.0摄氏度)至332 K(59.2摄氏度)。结果表明,季节性表面温度峰值将高物种丰富度分为两组:Merriam的袋鼠大鼠,Arizona袋鼠,沙漠袋鼠和南部蚱hopper小鼠物种更喜欢以地表温度较高为特征的栖息地。白喉木鼠,仙人掌鼠,岩石袋鼠和贝利袋鼠物种更喜欢以温度较低为特征的栖息地。高温和低温生境分组的丰度与地表温度线性相关(r = +0.66和-0.75,p <0.001)。地表温度综合了多种景观特征(例如地形,植被覆盖和土壤特性),这些特征定义了ORPI啮齿动物的主要生境。这些结果证明,简单的模型可以告知复杂的生态过程。 (C)2017 Elsevier Ltd.保留所有权利。

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