Final spatial and tabular poplar biomass estimates for Minnesota and Wisconsin, USA based on the approach for siting poplar energy production systems to increase productivity and associated ecosystem services

Short rotation woody crops such as Populus spp. and their hybrids (i.e., poplars) are a significant component of the total biofuels and bioenergy feedstock resource in the USA. We used available social (i.e., land ownership and cover) and biophysical (i.e., climate and soil characteristics) spatial data to map eligible lands suitable for establishing and growing poplar biomass for bioenergy crops across Minnesota and Wisconsin, USA. This package contains a polygon feature layer and tabular data produced for the 'An approach for siting poplar energy production systems to increase productivity and associated ecosystem services' (Zalesny et al. 2012). The polygon feature layer represents a coarse resolution (approximately 32-kilometer) polygon lattice framework. The associated tabular data includes the mean annual biomass for poplar as well as the SSURGO soil and NARR climate values that were used to generate the biomass values. The WTD_Avg_DM values represent the poplar productivity generated by the Physiological Processes Predicting Growth (3-PG) model. The additional ERDAS IMAGINE raster image contains the final spatial predictions of biomass productivity for hybrid poplar at a finer scale (30-meter resolution).Production of dedicated energy crops may result in large-scale land conversion, which leads to questions about economic, logistic, and ecologic feasibility. To address such concerns, we used available social and biophysical spatial data to map eligible lands suitable for establishing and growing poplar biomass for bioenergy crops. While this novel approach was validated for Minnesota and Wisconsin, our methodology was developed to be useful across a wide range of geographic conditions, irrespective of intra-regional variability in site and climate parameters. Thus, this information is vital for siting poplar energy production systems to increase productivity and associated ecosystem services, and is widely applicable to woody biomass production systems worldwide.Original metadata date was 10/19/2016. Metadata were updated on 10/24/2016 to include another reference.

Minor metadata updates on 12/16/2016.

短周期木质作物，如杨树属及其杂交种（即杨树），是美国生物燃料和生物能源原料资源的重要组成部分。本研究利用可用的社会数据（即土地所有权和覆盖情况）和生物物理数据（即气候和土壤特性），在明尼苏达州和威斯康星州绘制了适宜建立和种植杨树生物量以作为生物能源作物生产基地的合格土地图。本数据包包含用于《通过选址杨树能源生产系统以提高生产力和相关生态系统服务的方法》（Zalesny 等人，2012年）的矢量要素层和表格数据。矢量要素层代表了一个粗分辨率（约32公里）的多边形网格框架。相关表格数据包括杨树的平均年生物量以及用于生成生物量值的SSURGO土壤和NARR气候值。WTD_Avg_DM值代表了由生理过程预测生长（3-PG）模型产生的杨树生产力。额外的ERDAS IMAGINE栅格图像包含了在更精细尺度（30米分辨率）下杂交杨树生物生产力空间预测的最终结果。专用能源作物的生产可能导致大规模的土地转换，进而引发关于经济、物流和生态可行性的问题。为了解决这些担忧，我们利用可用的社会和生物物理空间数据绘制了适宜建立和种植杨树生物量以作为生物能源作物生产基地的合格土地图。尽管这种方法在明尼苏达州和威斯康星州得到了验证，但我们的方法论旨在适用于广泛的地理条件，不论区域内部在场地和气候参数上的差异。因此，这些信息对于选址杨树能源生产系统以提高生产力和相关生态系统服务至关重要，并且广泛应用于全球的木质生物质生产系统。原始元数据日期为2016年10月19日。元数据于2016年10月24日更新，以包含另一项参考文献。2016年12月16日进行了元数据的少量更新。