首页> 外文期刊>Journal of Thermal Biology >Quantifying agricultural drought in tallgrass prairie region in the US Southern Great Plains through analysis of a water-related vegetation index from MODIS images
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Quantifying agricultural drought in tallgrass prairie region in the US Southern Great Plains through analysis of a water-related vegetation index from MODIS images

机译:通过分析来自MODIS图像的水与水有关的植被指数,在美国南方大平原中量化农业干旱

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Severe droughts in the Southern Great Plains (SGP: Kansas, Oklahoma, and Texas) in recent years have reduced the productivity of tallgrass prairie and resulted in substantial economic losses to the beef cattle industry in this region. Understanding spatial and temporal patterns of agricultural drought in the SGP can help ranchers to develop and implement drought mitigation strategies. In this study, the Land Surface Water Index (LSWI), calculated from the Moderate Resolution Imaging Spectroradiometer (MODIS) near infrared and shortwave infrared bands, was used to assess agricultural drought in the tallgrass prairie region of the SGP during 2000-2013. The number of consecutive days with LSWI 0 (DNLSWI) during the growing season was defined as the drought duration, which, was then used to identify and analyze frequency of summer drought and whole growing season drought (WGSD). The spatial pattern of DNLSWI was consistent with the east-to-west decreasing precipitation gradient across the SGP region. Summer drought duration as depicted by the DNLSWI in the western portion of the study area was around one and a half month. The occurrence of WGSD increased from one year in the east to up to six years in the west, demonstrating the susceptibility of the tallgrass prairie region to drought. In addition to the total amount of precipitation, its intra-annual distribution also played an important role in drought development. A comparison with other widely used national drought products, namely the Evaporative Stress Index (ESI), the Vegetation Drought Response Index (VegDRI), and the United States Drought Monitor (USDM), shows that LSWI-based drought has good agreement with ESI and USDM. Quantitative analyses indicate that LSWI-based drought agreed better with ESI in severe drought conditions than in moderate or pre-drought conditions. Severe drought periods characterized by the USDM also had low LSWI values. The areas affected by drought derived from the LSWI-based drought index were significantly correlated with hay production. As an indicator of vegetation water stress at moderate spatial resolution (similar to 500 m), the LSWI has the potential to show drought conditions for an individual ranch and offer guidance for drought mitigation activities and livestock production.
机译:南部大平原(SGP:堪萨斯州)近年来的严重干旱(SGP:Kansas,俄克拉荷马州和德克萨斯州)降低了Tallgrass草原的生产力,并导致该地区牛肉行业的经济损失大幅下降。了解SGP中农业干旱的空间和时间模式可以帮助牧场运动员开发和实施干旱缓解策略。在该研究中,从红外和短波红外带附近的中度分辨率成像光谱仪(MODIS)计算的陆地水指数(LSWI)用于评估2000 - 2013年SGP的Tallgrass草原地区的农业干旱。连续几天的数量与LSWI& 0(DNLSWI)在生长季节期间被定义为干旱持续时间,随后被用来识别和分析夏季干旱和整个生长季节干旱(WGSD)的频率。 DNLSWI的空间模式与SGP地区的东部逐渐降低梯度一致。夏季干旱持续时间由Dnlswi在研究区的西部分别为期一半月。 WGSD的发生从东方的一年增加到最多六年,展示了Tallgras草原地区对干旱的易感性。除了降水量的总量外,其年度分布还在干旱发展中发挥了重要作用。与其他广泛使用的国家干旱产品的比较,即蒸发应激指数(ESI),植被干旱反应指数(VEPDRI)和美国干旱监测(USDM)表明,基于LSWI的干旱与ESI良好的协议USDM。定量分析表明,基于LSWI的干旱在严重干旱条件下与ESI更好地同意,而不是中度或预先干旱条件。以USDM为特征的严重干旱期间也具有低LSWI值。由LSWI基干旱指数受到的干旱影响的区域与干草生产显着相关。作为中度空间分辨率(类似于500米)的植被水胁迫的指标,LSWI有可能在各个牧场展示干旱条件,为干旱缓解活动和畜牧业生产提供指导。

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