6
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Identification of early abandonment in cropland through radar‐based coherence data and application of a Random‐Forest model

      Read this article at

          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references62

          • Record: found
          • Abstract: found
          • Article: not found

          Use of U.S. croplands for biofuels increases greenhouse gases through emissions from land-use change.

          Most prior studies have found that substituting biofuels for gasoline will reduce greenhouse gases because biofuels sequester carbon through the growth of the feedstock. These analyses have failed to count the carbon emissions that occur as farmers worldwide respond to higher prices and convert forest and grassland to new cropland to replace the grain (or cropland) diverted to biofuels. By using a worldwide agricultural model to estimate emissions from land-use change, we found that corn-based ethanol, instead of producing a 20% savings, nearly doubles greenhouse emissions over 30 years and increases greenhouse gases for 167 years. Biofuels from switchgrass, if grown on U.S. corn lands, increase emissions by 50%. This result raises concerns about large biofuel mandates and highlights the value of using waste products.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The global potential of bioenergy on abandoned agriculture lands.

            Converting forest lands into bioenergy agriculture could accelerate climate change by emitting carbon stored in forests, while converting food agriculture lands into bioenergy agriculture could threaten food security. Both problems are potentially avoided by using abandoned agriculture lands for bioenergy agriculture. Here we show the global potential for bioenergy on abandoned agriculture lands to be less than 8% of current primary energy demand, based on historical land use data, satellite-derived land cover data, and global ecosystem modeling. The estimated global area of abandoned agriculture is 385-472 million hectares, or 66-110% of the areas reported in previous preliminary assessments. The area-weighted mean production of above-ground biomass is 4.3 tons ha(-1) y(-1), in contrast to estimates of up to 10 tons ha(-1) y(-1) in previous assessments. The energy content of potential biomass grown on 100% of abandoned agriculture lands is less than 10% of primary energy demand for most nations in North America, Europe, and Asia, but it represents many times the energy demand in some African nations where grasslands are relatively productive and current energy demand is low.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Mapping farmland abandonment and recultivation across Europe using MODIS NDVI time series

                Bookmark

                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                GCB Bioenergy
                GCB Bioenergy
                Wiley
                1757-1693
                1757-1707
                July 2022
                May 05 2022
                July 2022
                : 14
                : 7
                : 735-755
                Affiliations
                [1 ]Wageningen University & Research Wageningen The Netherlands
                [2 ]ISRIC Wageningen The Netherlands
                [3 ]CIEMAT Madrid Spain
                [4 ]Bologna University Bologna Italy
                Article
                10.1111/gcbb.12939
                c9f66f61-2442-4679-bc5b-1d13fcfed256
                © 2022

                http://creativecommons.org/licenses/by/4.0/

                http://doi.wiley.com/10.1002/tdm_license_1.1

                History

                Comments

                Comment on this article