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      Mining drives extensive deforestation in the Brazilian Amazon

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          Abstract

          Mining poses significant and potentially underestimated risks to tropical forests worldwide. In Brazil’s Amazon, mining drives deforestation far beyond operational lease boundaries, yet the full extent of these impacts is unknown and thus neglected in environmental licensing. Here we quantify mining-induced deforestation and investigate the aspects of mining operations, which most likely contribute. We find mining significantly increased Amazon forest loss up to 70 km beyond mining lease boundaries, causing 11,670 km 2 of deforestation between 2005 and 2015. This extent represents 9% of all Amazon forest loss during this time and 12 times more deforestation than occurred within mining leases alone. Pathways leading to such impacts include mining infrastructure establishment, urban expansion to support a growing workforce, and development of mineral commodity supply chains. Mining-induced deforestation is not unique to Brazil; to mitigate adverse impacts of mining and conserve tropical forests globally, environmental assessments and licensing must considered both on- and off-lease sources of deforestation.

          Abstract

          Industrial mining contributes to deforestation in the Amazon, and the extent of effect could occur beyond areas of land explicitly permitted for mining. Here, Sonter et al. show that deforestation in 70-km buffer zones around mines has led to an estimated 9% of Brazilian Amazon deforestation since 2005.

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          Averting biodiversity collapse in tropical forest protected areas.

          The rapid disruption of tropical forests probably imperils global biodiversity more than any other contemporary phenomenon. With deforestation advancing quickly, protected areas are increasingly becoming final refuges for threatened species and natural ecosystem processes. However, many protected areas in the tropics are themselves vulnerable to human encroachment and other environmental stresses. As pressures mount, it is vital to know whether existing reserves can sustain their biodiversity. A critical constraint in addressing this question has been that data describing a broad array of biodiversity groups have been unavailable for a sufficiently large and representative sample of reserves. Here we present a uniquely comprehensive data set on changes over the past 20 to 30 years in 31 functional groups of species and 21 potential drivers of environmental change, for 60 protected areas stratified across the world’s major tropical regions. Our analysis reveals great variation in reserve ‘health’: about half of all reserves have been effective or performed passably, but the rest are experiencing an erosion of biodiversity that is often alarmingly widespread taxonomically and functionally. Habitat disruption, hunting and forest-product exploitation were the strongest predictors of declining reserve health. Crucially, environmental changes immediately outside reserves seemed nearly as important as those inside in determining their ecological fate, with changes inside reserves strongly mirroring those occurring around them. These findings suggest that tropical protected areas are often intimately linked ecologically to their surrounding habitats, and that a failure to stem broad-scale loss and degradation of such habitats could sharply increase the likelihood of serious biodiversity declines.
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            Modelling conservation in the Amazon basin.

            Expansion of the cattle and soy industries in the Amazon basin has increased deforestation rates and will soon push all-weather highways into the region's core. In the face of this growing pressure, a comprehensive conservation strategy for the Amazon basin should protect its watersheds, the full range of species and ecosystem diversity, and the stability of regional climates. Here we report that protected areas in the Amazon basin--the central feature of prevailing conservation approaches--are an important but insufficient component of this strategy, based on policy-sensitive simulations of future deforestation. By 2050, current trends in agricultural expansion will eliminate a total of 40% of Amazon forests, including at least two-thirds of the forest cover of six major watersheds and 12 ecoregions, releasing 32 +/- 8 Pg of carbon to the atmosphere. One-quarter of the 382 mammalian species examined will lose more than 40% of the forest within their Amazon ranges. Although an expanded and enforced network of protected areas could avoid as much as one-third of this projected forest loss, conservation on private lands is also essential. Expanding market pressures for sound land management and prevention of forest clearing on lands unsuitable for agriculture are critical ingredients of a strategy for comprehensive conservation.
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              Deforestation driven by urban population growth and agricultural trade in the twenty-first century

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                Author and article information

                Contributors
                l.sonter@uq.edu.au
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                18 October 2017
                18 October 2017
                2017
                : 8
                : 1013
                Affiliations
                [1 ]ISNI 0000 0004 1936 7689, GRID grid.59062.38, Gund Institute for Environment, , University of Vermont, ; 617 Main Street, Burlington, VT 05405 USA
                [2 ]ISNI 0000 0004 1936 7689, GRID grid.59062.38, Rubenstein School of Environment and Natural Resources, , University of Vermont, ; Burlington, VT 05405 USA
                [3 ]ISNI 0000 0000 9320 7537, GRID grid.1003.2, School of Earth and Environmental Sciences, , The University of Queensland, ; Brisbane, Qld 4072 Australia
                [4 ]ISNI 0000 0000 9320 7537, GRID grid.1003.2, Centre for Biodiversity & Conservation Science, , The University of Queensland, ; Brisbane, Qld 4072 Australia
                [5 ]GRID grid.427145.1, Environmental Defense Fund, ; Washington, DC 20009 USA
                [6 ]GRID grid.1016.6, Energy Flagship, Commonwealth Scientific and Industrial Research Organisation (CSIRO), ; Canberra, ACT 2601 Australia
                [7 ]ISNI 0000 0004 0375 4078, GRID grid.1032.0, Curtin University, ; Perth, WA 6102 Australia
                [8 ]ISNI 0000 0001 2181 4888, GRID grid.8430.f, Centro de Sensoriamento Remoto, , Universidade Federal de Minas Gerais, ; Belo Horizonte, MG 31270-901 Brazil
                Article
                557
                10.1038/s41467-017-00557-w
                5647322
                29044104
                e68e87c1-7536-44d4-a39c-2a2ef30436a4
                © The Author(s) 2017

                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
                : 29 September 2016
                : 10 July 2017
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