Spotted owl habitat quality maps and disturbance attribution analysis

This dataset includes annual spatial maps of spotted owl nesting habitat quality in Southern California and an accompanying ArcPython script used to attribute negative annual habitat change to wildfire (Barry et al., 2025). In the annual spatial maps, the raster values range from 0 to 1, with higher values indicating higher habitat quality. All habitat rasters are masked to National Forest boundaries and exclude lakes and private lands. Users may derive annual gains or losses in habitat quality from these layers and apply the provided ArcPython workflow (nest_fire_zonal_stats.py) to attribute change to specific disturbance drivers. In our implementation, we calculated annual declines in nest habitat quality greater than five percent (Barry et al., 2025). The code provided includes an example using annual layers of wildfire burns, but users can substitute their own annual disturbance datasets and calculate their relative impact on habitat quality change. Additional details on the disturbance layers used in our example are provided in Kramer et al. (2025).References: Barry, J., Hart, R., Jones, G.M., Kramer, H.A., McGinn, K.A., Peery, M.Z. 2025. Dynamic wildlife habitat mapping and attribution analyses reveal that wildfire, not fuels management, drives declines in an old forest species. Forest Ecology and Management.Kramer, A., Ng, E.M.-Y, Winiarski, J.M., Koltunov, A., Slaton, M.R., Jones, G.M., Peery, M.Z. 2025. Mapping disturbance in California's rapidly changing National Forests. Forest Ecology and Management. Forest Ecology and Management.

本数据集包含南加州斑鸮筑巢栖息地质量的年度空间分布图，以及配套的ArcPython脚本（可用于将年度栖息地的负面变化归因于野火，Barry等，2025）。在该年度空间分布图中，栅格值的取值范围为0至1，数值越高代表栖息地质量越好。所有栖息地栅格均已基于国家森林边界进行掩膜处理，且剔除了湖泊区域与私有土地。用户可通过这些图层计算栖息地质量的年度增益与损失，并运行所提供的ArcPython工作流（nest_fire_zonal_stats.py），将栖息地变化归因于特定的干扰驱动因子。在本研究的实施过程中，我们计算了年度筑巢栖息地质量降幅超过5%的情况（Barry等，2025）。所提供的代码包含一个使用年度野火燃烧图层的示例，但用户可替换为自定义的年度干扰数据集，计算其对栖息地质量变化的相对影响。本示例所用干扰图层的更多细节详见Kramer等（2025）的研究。
参考文献：
Barry, J., Hart, R., Jones, G.M., Kramer, H.A., McGinn, K.A., Peery, M.Z. 2025. 动态野生动物栖息地制图与归因分析揭示：野火而非燃料管理驱动老龄林物种种群衰退. 森林生态学与管理（Forest Ecology and Management）.
Kramer, A., Ng, E.M.-Y, Winiarski, J.M., Koltunov, A., Slaton, M.R., Jones, G.M., Peery, M.Z. 2025. 加州快速变化的国家森林干扰制图. 森林生态学与管理（Forest Ecology and Management）.