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Land Use Changes: Management and Applications

Editat de Vinícius Santos Alves
en Limba Engleză Paperback – 17 ian 2020
Land use is one of the most important aspects of the study of natural resources management and environmental change. Today, recognizing these changes is possible by comparing the differences between images taken in several specified periods in a specific region. The details of these changes are Nunderstandable by mapping the components of land resources into more than one period. Next, agricultural land use in Ukraine is explored. Providing general characteristics of processes in the Ukrainian agrarian sector witnessed over the past two decades, the authors estimate long-term trends and recent changes in agricultural land use and describe their drivers. A framework is provided which addresses sustainable land management through ecosystem services provided by healthy soils. This conceptual tool is designed to support policy makers in the management of five selected soil functions and demands: productivity, water availability, nutrients, carbon sequestration and biodiversity. In the closing study, the authors design a statistical model using atmospheric forcing to predict soil water storage for spring. The analysis of the efficiency of different models takes into account the adjusted squared correlation coefficient and cross-validation coefficient values.
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Specificații

ISBN-13: 9781536170320
ISBN-10: 1536170321
Pagini: 128
Dimensiuni: 152 x 229 x 10 mm
Greutate: 0.2 kg
Editura: Nova Science Publishers Inc
Colecția Nova Science Publishers Inc
Locul publicării:United States

Cuprins

  • Preface
    • Applications of Land Use Change Prediction Models (With Remote Sensing and Geographic Information System Approach)
    • Land Concentration or Land Grabbing: Multidimensional Issues Challenging Ukrainian Agrarian Sector
    • Soil Functions and Land Management: Potential Synergies and Tradeoffs at the Tropical Agricultural Frontier (Brazil)
    • Beginning of Desertification in the Southern Buenos Aires and the Predictability of Soil Water Content
    • Index.
  •