Dataset for plant production responses to climate across water-limited regions

This dataset was constructed from readily available open source climate and vegetation data, like Landsat. This dataset represents the vegetation and climate conditions for a large number of points across the major deserts of the SW USA. The dataset was constructed in order to use the climate pivot point approach (Munson et al. 2013) at the landscape level. Originally this dataset was much larger but we were looking to study a pure vegetation signal and therefore developed a detailed masking procedure to remove fire, slope, human, and floodplain effects. The vegetation classification originally came from SW regap, though we have refined / regrouped the data. The vegetation classification for each point is representative of the dominant vegetation in the 30m area, but by no means is it the only vegetation there. In the pivot point methodology we look to understand how the vegetation production in a single year relates to long term mean production, these columns are included in the dataset. Lastly, this time series data was composited to the warm and cold season since the deserts studied had productivity/ climate events at different times of year. The definition of season is; warm season (July - September),and cold season (October - March).本数据集基于易得的开源气候与植被数据构建而成，例如陆地卫星（Landsat）数据。本数据集表征了美国西南部（SW USA）主要沙漠区域内大量采样点的植被与气候条件。本数据集的构建旨在景观尺度下应用气候枢轴点方法（climate pivot point approach，Munson et al. 2013）。原始数据集规模远大于当前版本，但因本研究旨在提取纯净的植被信号，故开发了一套精细化掩膜处理流程，以剔除火灾、坡度、人类活动及泛滥平原带来的干扰效应。原始植被分类数据源自西南区域间隙分析项目（SW regap），本研究已对该数据进行了优化与重新分组。每个采样点的植被分类结果代表该30米范围内的优势植被类型，但绝非该区域内唯一的植被类型。在气候枢轴点方法框架下，本研究旨在探究单一年份的植被生产力与长期平均生产力之间的关联关系，该类关联字段已包含在本数据集中。最后，鉴于所研究沙漠的生产力与气候事件发生于一年中的不同时段，本时序数据已被整合为暖季与冷季两类数据集。季节定义如下：暖季为7月至9月，冷季为10月至次年3月。