Data from: Concordance in wetland physicochemical conditions, vegetation, and surrounding land cover is robust to data extraction approach
Kraft, Adam J., University of Waterloo
Robinson, Derek T., University of Waterloo
Evans, Ian S., University of Waterloo
Rooney, Rebecca C., University of Waterloo
Published Jun 06, 2019 on Dryad.
Cite this dataset
Kraft, Adam J.; Robinson, Derek T.; Evans, Ian S.; Rooney, Rebecca C. (2019). Data from: Concordance in wetland physicochemical conditions, vegetation, and surrounding land cover is robust to data extraction approach [Dataset]. Dryad. https://doi.org/10.5061/dryad.62t8442
Concordance among wetland physicochemical conditions, vegetation, and surrounding land cover may result from the influence of land cover on the sources of plant propagules, on physicochemical conditions, and their subsequent determination of growing conditions. Alternatively, concordance may result if differences in climate, soils, and species pools are spatially confounded with differences in human population density and land conversion. Further, we expect that land cover within catchment boundaries will be more predictive than land cover in symmetrical buffers if runoff is a major pathway. We measured concordance between land cover, wetland vegetation and physicochemical conditions in 48 prairie pothole wetlands, controlling for inter-wetland distance. We contrasted land-cover data collected over a four-year period by multiple extraction approaches including topographically-delineated catchments and nested 30 m to 5,000 m radius buffers. After factoring out inter-wetland distance, physiochemical conditions were significantly concordant with land cover. Vegetation was not significantly concordant with land cover, though it was strongly and significantly concordant with physicochemical conditions. More, concordance was as strong when land cover was extracted from buffers <500 m in radius as from catchments, indicating the mechanism responsible is not topographically constrained. We conclude that local landscape structure does not directly influence wetland vegetation composition, but rather that vegetation depends on physicochemical conditions in the wetland (which are affected by surrounding land cover) and on regional factors such as the vegetation species pool and geographic gradients in climate, soil type, and land use.
Total of 40 datasets, representing 40 combinations of land cover data around study wetlands measured in 4 years of land cover data x 10 spatial extents used to extract land cover data. Contains the following .csv files: land_cover_data_10mDEM_catchment_2011
45 water and soil characteristics of study wetlands, including variables reflecting hydrology, nutrients, ionic chemistry, fertility, soil physical properties, and pesticide presence.
Composition and abundance data of 124 plant vascular plant species within study wetlands.
Geographic coordinates of 48 wetlands within the Alberta Grassland and Parkland natural regions.