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Data and code from: Cultivation and dynamic cropping processes impart land-cover heterogeneity within agroecosystems: a metrics-based case study in the Yazoo-Mississippi Delta (USA)

    This dataset contains data and code from the manuscript: Heintzman, Lucas J., Nancy E. McIntyre, Eddy J. Langendoen, and Quentin D. Read. 2023. Cultivation and dynamic cropping processes impart land-cover heterogeneity within agroecosystems: a metrics-based case study in the Yazoo-Mississippi Delta (USA). *Landscape Ecology*, in revision. **Citation will be updated when MS is accepted.** There are 14 rasters of land use and land cover data for the study region, in .tif format with associated auxiliary files, two shape files with county boundaries and study area extent, a CSV file with summary information derived from the rasters, and a Jupyter notebook containing Python code.

    Rangeland Analysis Platform: Monitor rangelands across the USA

      The Rangeland Analysis Platform ( rangelands.app) is a free online application that provides simple and fast access to geospatial vegetation data for U.S. rangelands. The tool was developed to provide landowners, resource managers, conservationists, and scientists access to data that can inform land management planning, decision making, and the evaluation of outcomes. The Rangeland Analysis Platform (RAP) uses innovative cloud computing technology to provide maps and analysis opportunities straight to your desktop, delivered securely and instantaneously.

      Long Term Ecological Research (LTER), Jornada Basin Data Catalog

        This dataset links to the Jornada data homepage, which links to 153 individual datasets. Those datasets can then be searched based on Title, Keyword, or Investigator. The Jornada Basin Long Term Ecological Research Program (JRN LTER) has been investigating desertification processes since 1982.

        Data from: High genetic diversity in the landscape suggests frequent seedling recruitment by Euphorbia virgata Waldst. & Kit. (leafy spurge) in the northern U.S.A.

          Site information and field-collected data from a 1-year 100-site survey of leafy spurge (Euphorbia virgata/esula) populations in the northern U.S. Data include: 1) estimates of leafy spurge density and relative prevalence of ramets versus genets; 2) the abundance and composition of Aphthona species complex biological control agents; 3) presence/absence of two additional biological control agents (Oberea erythrocephala and Hyles euphorbiae).

          Turfgrass Soil Carbon Change Through Time: Raw Data and Code

            Managed turfgrass is a common component of urban landscapes that is expanding under current land use trends. Previous studies have reported high rates of soil carbon sequestration in turfgrass, but no systematic review has summarized these rates nor evaluated how they change as turfgrass ages. We conducted a meta-analysis of soil carbon sequestration rates from 63 studies. Those data, as well as the code used to analyze them and create figures, are shared here.

            Data from: Not just crop or forest: building an integrated land cover map for agricultural and natural areas (spatial files)

              To address the need for maps that characterize detailed land cover, including both agricultural and natural habitats, we combined two national datasets of land cover, the Landscape Fire and Resource Management Planning Tools (LANDFIRE) National Vegetation Classification (NVC) and United States Department of Agriculture, National Agricultural Statistics Service (USDA-NASS) Cropland Data Layer (CDL). Our workflow leveraged strengths of the NVC and the CDL to produce annual land-use rasters for 2012-2021.

              Data from: Not just crop or forest: building an integrated land cover map for agricultural and natural areas (tabular files)

                To address the need for maps that characterize detailed land cover, including both agricultural and natural habitats, we combined two national datasets of land cover, the Landscape Fire and Resource Management Planning Tools (LANDFIRE) National Vegetation Classification (NVC) and United States Department of Agriculture, National Agricultural Statistics Service (USDA-NASS) Cropland Data Layer (CDL). Our workflow leveraged strengths of the NVC and the CDL to produce annual land-use rasters for 2012-2021.