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      Evaluation of the factors explaining the use of agricultural land: A machine learning and model-agnostic approach

      , , , ,
      Ecological Indicators
      Elsevier BV

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          Food security: the challenge of feeding 9 billion people.

          Continuing population and consumption growth will mean that the global demand for food will increase for at least another 40 years. Growing competition for land, water, and energy, in addition to the overexploitation of fisheries, will affect our ability to produce food, as will the urgent requirement to reduce the impact of the food system on the environment. The effects of climate change are a further threat. But the world can produce more food and can ensure that it is used more efficiently and equitably. A multifaceted and linked global strategy is needed to ensure sustainable and equitable food security, different components of which are explored here.
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            Solutions for a cultivated planet.

            Increasing population and consumption are placing unprecedented demands on agriculture and natural resources. Today, approximately a billion people are chronically malnourished while our agricultural systems are concurrently degrading land, water, biodiversity and climate on a global scale. To meet the world's future food security and sustainability needs, food production must grow substantially while, at the same time, agriculture's environmental footprint must shrink dramatically. Here we analyse solutions to this dilemma, showing that tremendous progress could be made by halting agricultural expansion, closing 'yield gaps' on underperforming lands, increasing cropping efficiency, shifting diets and reducing waste. Together, these strategies could double food production while greatly reducing the environmental impacts of agriculture.
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              An Introduction to Statistical Learning

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                Author and article information

                Journal
                Ecological Indicators
                Ecological Indicators
                Elsevier BV
                1470160X
                November 2021
                November 2021
                : 131
                : 108200
                Article
                10.1016/j.ecolind.2021.108200
                c5403295-f3a0-44b8-8a64-f5c7405545c7
                © 2021

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by-nc-nd/4.0/

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