Cross-CZO -- Topographic Carbon Storage, GIS/Map Data, LiDAR, Land Cover -- Gordon Gulch -- (2010-2010)

The 'Stems' data are from an individual tree segmentation (Swetnam and Falk 2014) derived from the 2010 snow-off lidar and biomass-carbon allometric equations. The purpose of the dataset is to evaluate the distribution of aboveground carbon across an elevation gradient in temperature and precipitation. The '10m Topo points' data are derived from a bare earth digital elevation model (DEM) generated from the 2010 snow-off lidar flight, these include the topographic metrics and the biomass-carbon for each pixel derived from the sum of STEMS. The purpose of the dataset is to evaluate the distribution of aboveground carbon across an elevation gradient in temperature and precipitation. A total of three catchments in Boulder Creek were analyzed: Como Creek, Gordon Gulch, and Betasso Preserve. Significance Statement: Forest carbon reservoirs in complex terrain along an elevation-climate gradient spanning an 11 Celsius range in mean annual temperature (MAT) and a 50 cm yr-1 range in mean annual precipitation (MAP) did not exhibit the expected response of increasing in size with greater MAP and idealized MAT. Within catchments, the distribution of mean and peak carbon storage doubled in size for valleys versus ridges. These results suggest spatial variations in carbon storage relate more to topographically mediated water availability, as well as aspect (energy-balance) and topographic curvature (a proxy for soil depth and depth to ground water), than elevation-climate gradients. Consequently, lateral redistribution of precipitation across topographic position may either moderate or exacerbate regional climatic controls over ecosystem productivity and tree-level responses during drought‘Stems’数据集源自2010年雪后激光雷达（LiDAR）数据结合生物量-碳异速生长方程得到的单木分割结果（Swetnam与Falk，2014）。本数据集旨在探究沿温度与降水变化的海拔梯度上的地上碳分布格局。 ‘10m Topo points’数据集源自2010年雪后激光雷达飞行任务生成的裸地数字高程模型（Digital Elevation Model, DEM），包含地形指标以及基于所有STEMS数据总和计算得到的每个像元的生物量-碳储量。本数据集的研究目标同样为探究沿温度与降水变化的海拔梯度上的地上碳分布格局。 本次研究共分析了博尔德溪（Boulder Creek）流域内的3个集水区：科莫溪（Como Creek）、戈登峡谷（Gordon Gulch）与贝塔索保护区（Betasso Preserve）。 研究意义阐释： 在年平均气温（MAT）跨度达11℃、年平均降水量（MAP）跨度达50 cm·yr⁻¹的海拔-气候梯度复杂地形中，森林碳库并未呈现出随年平均降水量增加、年平均气温趋于理想值而增大的预期响应。在单个集水区内部，山谷区域的平均碳储量与峰值碳储量较山脊区域翻倍。上述结果表明，碳储量的空间差异更多与地形介导的水分可获得性、坡向（能量平衡）以及地形曲率（土壤深度与地下水埋深的替代指标）相关，而非单纯依赖海拔-气候梯度。因此，地形位置对降水的侧向再分配，可能会缓解或加剧区域气候控制对生态系统生产力以及干旱时期树木个体响应的调控作用。