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      Deforestation reduces rainfall and agricultural revenues in the Brazilian Amazon

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          Abstract

          It has been suggested that rainfall in the Amazon decreases if forest loss exceeds some threshold, but the specific value of this threshold remains uncertain. Here, we investigate the relationship between historical deforestation and rainfall at different geographical scales across the Southern Brazilian Amazon (SBA). We also assess impacts of deforestation policy scenarios on the region’s agriculture. Forest loss of up to 55–60% within 28 km grid cells enhances rainfall, but further deforestation reduces rainfall precipitously. This threshold is lower at larger scales (45–50% at 56 km and 25–30% at 112 km grid cells), while rainfall decreases linearly within 224 km grid cells. Widespread deforestation results in a hydrological and economic negative-sum game, because lower rainfall and agricultural productivity at larger scales outdo local gains. Under a weak governance scenario, SBA may lose 56% of its forests by 2050. Reducing deforestation prevents agricultural losses in SBA up to US$ 1 billion annually.

          Abstract

          Deforestation in the Amazon region has suggested to influence precipitation in a non-linear way. Here, the authors show that forest loss is associated with decreasing precipitation after a scale-dependent threshold is crossed, which can cause stress on agriculture if deforestation is expanded.

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          Most cited references43

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          The Proof and Measurement of Association between Two Things

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            Land-use and climate change risks in the Amazon and the need of a novel sustainable development paradigm.

            For half a century, the process of economic integration of the Amazon has been based on intensive use of renewable and nonrenewable natural resources, which has brought significant basin-wide environmental alterations. The rural development in the Amazonia pushed the agricultural frontier swiftly, resulting in widespread land-cover change, but agriculture in the Amazon has been of low productivity and unsustainable. The loss of biodiversity and continued deforestation will lead to high risks of irreversible change of its tropical forests. It has been established by modeling studies that the Amazon may have two "tipping points," namely, temperature increase of 4 °C or deforestation exceeding 40% of the forest area. If transgressed, large-scale "savannization" of mostly southern and eastern Amazon may take place. The region has warmed about 1 °C over the last 60 y, and total deforestation is reaching 20% of the forested area. The recent significant reductions in deforestation-80% reduction in the Brazilian Amazon in the last decade-opens up opportunities for a novel sustainable development paradigm for the future of the Amazon. We argue for a new development paradigm-away from only attempting to reconcile maximizing conservation versus intensification of traditional agriculture and expansion of hydropower capacity-in which we research, develop, and scale a high-tech innovation approach that sees the Amazon as a global public good of biological assets that can enable the creation of innovative high-value products, services, and platforms through combining advanced digital, biological, and material technologies of the Fourth Industrial Revolution in progress.
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              Effects of tropical deforestation on climate and agriculture

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                Author and article information

                Contributors
                argemiro@csr.ufmg.br
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                10 May 2021
                10 May 2021
                2021
                : 12
                : 2591
                Affiliations
                [1 ]GRID grid.8430.f, ISNI 0000 0001 2181 4888, Centre for Remote Sensing, , Federal University of Minas Gerais, ; Belo Horizonte, Brazil
                [2 ]GRID grid.12799.34, ISNI 0000 0000 8338 6359, Department of Agricultural Engineering, , Federal University of Viçosa, ; Viçosa, Brazil
                [3 ]GRID grid.10388.32, ISNI 0000 0001 2240 3300, Centre for Development Research, , University of Bonn, ; Bonn, Germany
                Author information
                http://orcid.org/0000-0002-8480-4254
                http://orcid.org/0000-0002-7703-946X
                http://orcid.org/0000-0003-0336-6246
                Article
                22840
                10.1038/s41467-021-22840-7
                8110785
                33972530
                51534e8a-1253-45b9-9295-05322571f984
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 14 June 2020
                : 31 March 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100003593, Ministry of Science, Technology and Innovation | Conselho Nacional de Desenvolvimento Científico e Tecnológico (National Council for Scientific and Technological Development);
                Award ID: 140147/2019-5
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100005156, Alexander von Humboldt-Stiftung (Alexander von Humboldt Foundation);
                Funded by: FundRef https://doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft (German Research Foundation);
                Categories
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                © The Author(s) 2021

                Uncategorized
                attribution,governance,environmental impact
                Uncategorized
                attribution, governance, environmental impact

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