Recent pace of change in human impact on the world's ocean: Organic chemical pollution

These are the stressor and impact data for organic chemical pollution for the publication: 'Recent pace of change in human impact on the world's ocean' (Halpern et al. 2019).
The organic chemical pollution stressor describes relative intensity of organic pollution due to pesticide runoff from land-based applications. These data represent modeled organic chemical plumes resulting from land-based pesticide application. We describe the stressor intensity of organic chemical pollution and the corresponding impact on 21 marine ecosystems over 11 years (2003-2013). To determine annual change in impact, we applied a linear regression model to each raster cell. Code used in analyzing these data is available as a zipped GitHub repository, impact_acceleration-1.0.zip, in this dataset's parent (CITATION HERE).

These data include the following: Raw stressor intensity rasters for 2003 to 2013. These rasters are created using scripts located in the 'stressors' folder of the 'impact_acceleration' Github repository. Rescaled stressor intensity rasters for 2003 to 2013. Raw stressor intensities are rescaled to values between 0 and 1, using either known or estimated ecosystem thresholds or upper quantile values from the distribution of global stressor intensity values across years. These rasters are created using scripts located in the 'stressors' folder of the 'impact_acceleration' Github repository. Impact rasters for 2003 to 2013 which describe the impact of the stressor based on the vulnerability of 21 marine ecosystems to the stressor. The impact of the stressor is estimated by multiplying the stressor's intensity by the corresponding ecosystem vulnerability where the ecosystem occurs. The average impact of each stressor, across all ecosystems, is estimated by summing the stressor-by-ecosystem vulnerability combinations and dividing by the number of ecosystems within each cell. These rasters are created using scripts located in the 'impacts' folder of the 'impact_acceleration' Github repository. A trend raster describing the average annual change in impact from 2003 to 2013. This raster is created using scripts located in the 'trend' folder of the 'impact_acceleration' Github repository. Files describing the cumulative impacts and additional stressors are provided in other KNB datasets.

本数据集对应论文《人类对全球海洋影响的近期变化速率》（Halpern等人，2019年）中的有机化学品污染压力因子（stressor）与影响数据。有机化学品污染压力因子指的是陆地施用农药产生的径流所引发的有机污染相对强度。本数据集所呈现的数据，是基于陆地农药施用过程模拟得到的有机化学污染物羽流。我们对2003至2013年这11年间的有机化学品污染压力因子强度，及其对21种海洋生态系统的相应影响进行了描述。为了量化影响的年度变化情况，我们对每个栅格单元（raster）应用了线性回归模型。本数据集的父级资源（引用信息见此处）中，提供了用于分析此类数据的代码压缩包`impact_acceleration-1.0.zip`，其托管于GitHub平台。

本数据集包含以下内容：
1. 2003年至2013年的原始压力因子强度栅格数据（raster）。此类栅格通过`impact_acceleration` GitHub仓库中`stressors`文件夹下的脚本生成。
2. 2003年至2013年的标准化压力因子强度栅格数据（raster）。原始压力因子强度通过两种方式被归一化至0到1的区间范围：一是采用已知或估算的生态系统阈值，二是使用历年全球压力因子强度分布的上分位数数值。此类栅格同样通过`impact_acceleration` GitHub仓库中`stressors`文件夹下的脚本生成。
3. 2003年至2013年的影响栅格数据（raster），此类数据基于21种海洋生态系统对该压力因子的脆弱性，用以描述该压力因子所带来的生态影响。压力因子的影响值通过将压力因子强度与对应生态系统的脆弱性相乘得到。各栅格单元内的平均影响值，则通过累加各压力因子-生态系统脆弱性组合的数值，再除以该单元内的生态系统总数进行估算。此类栅格通过`impact_acceleration` GitHub仓库中`impacts`文件夹下的脚本生成。
4. 描述2003年至2013年影响年均变化的趋势栅格数据（raster）。此类栅格通过`impact_acceleration` GitHub仓库中`trend`文件夹下的脚本生成。
5. 描述累积影响与其他压力因子的相关文件已在其他KNB数据集内提供。