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These data are a component of a floodplain forest canopy gap dynamics study initiated in 2019 and funded through the US Army Corps of Engineers Upper Mississippi River Restoration, Science Supporting Restoration program. The study included two components: a geospatial component to utilize lidar to identify and map canopy gaps across multiple navigation pools (8, 9, 13, 21, 24, 26 (through Maple Island just south of Lock and Dam 26), and the lower 32 miles of the Illinois River from its confluence with the Mississippi River to Kampsville, IL) within the Upper Mississippi River floodplain and a field component to characterize vegetation in a small subset of the remotely sensed gaps. This layer provides field-collected...
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This dataset contains data collected in the field for the field component of the 2018-20 UMRR Science in support of Restoration Forest Canopy Gap Dynamics study titled "Forest canopy gap dynamics: quantifying forest gaps and understanding gap – level forest regeneration in Upper Mississippi River floodplain forests."
Background Large-river decision-makers are charged with maintaining diverse ecosystem services through unprecedented social-ecological transformations as climate change and other global stressors intensify. The interconnected, dendritic habitats of rivers, which often demarcate jurisdictional boundaries, generate complex management challenges. Here, we explore how the Resist–Accept–Direct (RAD) framework may enhance large-river management by promoting coordinated and deliberate responses to social-ecological trajectories of change. The RAD framework identifies the full decision space of potential management approaches, wherein managers may resist change to maintain historical conditions, accept change toward different...
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These data are a component of a floodplain forest canopy gap dynamics study initiated in 2019 and funded through the US Army Corps of Engineers Upper Mississippi River Restoration, Science Supporting Restoration program. The study included two components: a geospatial component to utilize lidar to identify and map canopy gaps across multiple navigation pools (8, 9, 13, 21, 24, 26 (through Maple Island just south of Lock and Dam 26), and the lower 32 miles of the Illinois River from its confluence with the Mississippi River to Kampsville, IL) within the Upper Mississippi River floodplain and a field component to characterize vegetation in a small subset of the remotely sensed gaps. This layer provides lidar derived...


    map background search result map search result map Forest canopy gap dynamics: quantifying forest gaps and understanding gap – level forest regeneration in Upper Mississippi River floodplain forests Floodplain Forest Canopy Gap Survey Data for select gaps in pools of the Upper Mississippi River, Field Gap Data Spreadsheet Floodplain Forest Canopy Gap Survey Centroid for select gaps in pools of the Upper Mississippi River Floodplain Forest Canopy Gap Survey Data for select gaps in pools of the Upper Mississippi River Forest canopy gap dynamics: quantifying forest gaps and understanding gap – level forest regeneration in Upper Mississippi River floodplain forests Floodplain Forest Canopy Gap Survey Data for select gaps in pools of the Upper Mississippi River, Field Gap Data Spreadsheet Floodplain Forest Canopy Gap Survey Data for select gaps in pools of the Upper Mississippi River Floodplain Forest Canopy Gap Survey Centroid for select gaps in pools of the Upper Mississippi River