Assessing plant production responses to climate across water-limited regions using Google Earth Engine
Assessing plant production responses to climate across water-limited regions using Google Earth Engine
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DOI：
10.1016/j.rse.2019.111379
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发表时间：
2019-11-01
影响因子：
13.5
通讯作者：
Bradford, John B.
中科院分区：
文献类型：
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作者：
Bunting, Erin L.;Munson, Seth M.;Bradford, John B.
大尺度的气候变率和变化可导致局部尺度的植物生产的不同变化。量化生产如何在地方尺度上对气候变化作出反应，对于了解潜在的生态过程和为土地管理决策提供信息至关重要，但历史上由于使用离散的地面测量或粗分辨率卫星观测，在时空尺度上受到限制。随着Google地球引擎（GEE）基于云的计算的出现，可以在广阔的景观中评估生产对气候的响应，但时间分辨率对生态和土地管理应用有用。在这里，GEE被用来合成多平台的Landsat时间序列（1988-2014年），并评估土壤调整植被指数之间的关系GEE采用了一种“气候支点”方法，以评估30- 40 ℃时对湿度增加的生产反应和对干旱的抵抗力之间的权衡。m分辨率。与长期的季节性气候梯度相一致，生产是最相关的气候变化在西部沙漠的冷季，在温暖的季节在东部沙漠，同样相关的几个沙漠地区的两个季节。以草和落叶乔木为主的群落表现出对湿度增加的大生产响应和对水分亏缺的低抗性，而灌木丛和万年青林地则具有可变的响应和高抗旱性。跨越多个沙漠的植物群落的生产对每个沙漠的季节性气候变化的反应不同。在GEE中以30米分辨率定义这些植物生产对气候的敏感性，可以预测长期气候轨迹如何影响碳储存，野生动物栖息地以及水资源有限的生态系统的脆弱性。
Climate variability and change acting at broad scales can lead to divergent changes in plant production at local scales. Quantifying how production responds to variation in climate at local scales is essential to understand underlying ecological processes and inform land management decision-making, but has historically been limited in spatiotemporal scale based on the use of discrete ground-based measurements or coarse resolution satellite observations. With the advent of cloud-based computing through Google Earth Engine (GEE), production responses to climate can be evaluated across broad landscapes though time at a resolution useful for ecological and land management applications. Here, GEE was employed to synthesize a multi-platform Landsat time series (1988-2014) and evaluate relationships between the soil-adjusted vegetation index (a proxy for plant production) and climate across deserts and plant communities of the southwestern U.S. A "climate pivot point" approach was adopted in GEE to assess the trade-off between production responses to increasing wetness and resistances to drought at 30-m resolution. Consistent with a long-term seasonal climate gradient, production was most related to climate variance during the cool-season in the western deserts, during the warm-season in the eastern deserts, and equally related to both seasons within several desert areas. Communities dominated by grasses and deciduous trees displayed large production responses to an increase in wetness and low resistances to water deficit, while shrublands and evergreen woodlands had variable responses and high drought resistances. Production in plant communities that spanned multiple deserts responded differently to seasonal climate variability in each desert. Defining these plant production sensitivities to climate at 30-m resolution in GEE advances forecasts of how long-term climate trajectories may affect carbon storage, wildlife habitat, and the vulnerability of water-limited ecosystems.