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      Effect of oil palm sustainability certification on deforestation and fire in Indonesia

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          Significance

          Demand for agricultural commodities is the leading driver of tropical deforestation. Many corporations have pledged to eliminate forest loss from their supply chains by purchasing only certified “sustainable” products. To evaluate whether certification fulfills such pledges, we applied statistical analyses to satellite-based estimates of tree cover loss to infer the causal impact of a third-party certification system on deforestation and fire within Indonesian oil palm plantations. We found that certification significantly reduced deforestation, but not fire or peatland clearance, among participating plantations. Moreover, certification was mostly adopted in older plantations that contained little remaining forest. Broader adoption by oil palm growers is likely needed for certification to have a large impact on total forest area lost to oil palm expansion.

          Abstract

          Many major corporations and countries have made commitments to purchase or produce only “sustainable” palm oil, a commodity responsible for substantial tropical forest loss. Sustainability certification is the tool most used to fulfill these procurement policies, and around 20% of global palm oil production was certified by the Roundtable on Sustainable Palm Oil (RSPO) in 2017. However, the effect of certification on deforestation in oil palm plantations remains unclear. Here, we use a comprehensive dataset of RSPO-certified and noncertified oil palm plantations (∼188,000 km 2) in Indonesia, the leading producer of palm oil, as well as annual remotely sensed metrics of tree cover loss and fire occurrence, to evaluate the impact of certification on deforestation and fire from 2001 to 2015. While forest loss and fire continued after RSPO certification, certified palm oil was associated with reduced deforestation. Certification lowered deforestation by 33% from a counterfactual of 9.8 to 6.6% y −1. Nevertheless, most plantations contained little residual forest when they received certification. As a result, by 2015, certified areas held less than 1% of forests remaining within Indonesian oil palm plantations. Moreover, certification had no causal impact on forest loss in peatlands or active fire detection rates. Broader adoption of certification in forested regions, strict requirements to avoid all peat, and routine monitoring of clearly defined forest cover loss in certified and RSPO member-held plantations appear necessary if the RSPO is to yield conservation and climate benefits from reductions in tropical deforestation.

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          Most cited references55

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          Primary forests are irreplaceable for sustaining tropical biodiversity.

          Human-driven land-use changes increasingly threaten biodiversity, particularly in tropical forests where both species diversity and human pressures on natural environments are high. The rapid conversion of tropical forests for agriculture, timber production and other uses has generated vast, human-dominated landscapes with potentially dire consequences for tropical biodiversity. Today, few truly undisturbed tropical forests exist, whereas those degraded by repeated logging and fires, as well as secondary and plantation forests, are rapidly expanding. Here we provide a global assessment of the impact of disturbance and land conversion on biodiversity in tropical forests using a meta-analysis of 138 studies. We analysed 2,220 pairwise comparisons of biodiversity values in primary forests (with little or no human disturbance) and disturbed forests. We found that biodiversity values were substantially lower in degraded forests, but that this varied considerably by geographic region, taxonomic group, ecological metric and disturbance type. Even after partly accounting for confounding colonization and succession effects due to the composition of surrounding habitats, isolation and time since disturbance, we find that most forms of forest degradation have an overwhelmingly detrimental effect on tropical biodiversity. Our results clearly indicate that when it comes to maintaining tropical biodiversity, there is no substitute for primary forests.
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            Slowing Amazon deforestation through public policy and interventions in beef and soy supply chains.

            The recent 70% decline in deforestation in the Brazilian Amazon suggests that it is possible to manage the advance of a vast agricultural frontier. Enforcement of laws, interventions in soy and beef supply chains, restrictions on access to credit, and expansion of protected areas appear to have contributed to this decline, as did a decline in the demand for new deforestation. The supply chain interventions that fed into this deceleration are precariously dependent on corporate risk management, and public policies have relied excessively on punitive measures. Systems for delivering positive incentives for farmers to forgo deforestation have been designed but not fully implemented. Territorial approaches to deforestation have been effective and could consolidate progress in slowing deforestation while providing a framework for addressing other important dimensions of sustainable development. Copyright © 2014, American Association for the Advancement of Science.
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              Is Open Access

              The collection 6 MODIS active fire detection algorithm and fire products

              The two Moderate Resolution Imaging Spectroradiometer (MODIS) instruments, on-board NASA’s Terra and Aqua satellites, have provided more than a decade of global fire data. Here we describe improvements made to the fire detection algorithm and swath-level product that were implemented as part of the Collection 6 land-product reprocessing, which commenced in May 2015. The updated algorithm is intended to address limitations observed with the previous Collection 5 fire product, notably the occurrence of false alarms caused by small forest clearings, and the omission of large fires obscured by thick smoke. Processing was also expanded to oceans and other large water bodies to facilitate monitoring of offshore gas flaring. Additionally, fire radiative power (FRP) is now retrieved using a radiance-based approach, generally decreasing FRP for all but the comparatively small fraction of high intensity fire pixels. We performed a Stage-3 validation of the Collection 5 and Collection 6 Terra MODIS fire products using reference fire maps derived from more than 2500 high-resolution Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images. Our results indicated targeted improvements in the performance of the Collection 6 active fire detection algorithm compared to Collection 5, with reduced omission errors over large fires, and reduced false alarm rates in tropical ecosystems. Overall, the MOD14 Collection 6 daytime global commission error was 1.2%, compared to 2.4% in Collection 5. Regionally, the probability of detection for Collection 6 exhibited a ~3% absolute increase in Boreal North America and Boreal Asia compared to Collection 5, a ~1% absolute increase in Equatorial Asia and Central Asia, a ~1% absolute decrease in South America above the Equator, and little or no change in the remaining regions considered. Not unexpectedly, the observed variability in the probability of detection was strongly driven by regional differences in fire size. Overall, there was a net improvement in Collection 6 algorithm performance globally.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc. Natl. Acad. Sci. U.S.A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                2 January 2018
                11 December 2017
                11 December 2017
                : 115
                : 1
                : 121-126
                Affiliations
                [1] aDepartment of Natural Resources and Environmental Management, University of Hawaii , Honolulu, HI 96822;
                [2] bInstitute on the Environment, University of Minnesota , Saint Paul, MN 55108;
                [3] cEnvironmental Studies Program, University of California, Santa Barbara , CA 93106;
                [4] dDepartment of Geography, University of Wisconsin, Madison , WI 53726;
                [5] eThe Nelson Institute for Environmental Studies, University of Wisconsin, Madison , WI 53726;
                [6] fDepartment of Geography, University of Wisconsin, Madison , WI 53706;
                [7] gNational Wildlife Federation , National Advocacy Center, Washington, DC 20005;
                [8] hBiospheric Sciences Laboratory, NASA Goddard Space Flight Center , Greenbelt, MD 20771;
                [9] iEarth System Science Interdisciplinary Center, University of Maryland , College Park, MD 20742;
                [10] jDaemeter , Eureka, CA 95501;
                [11] kDepartment of Environmental Sciences, Policy and Management, University of California, Berkeley , CA 94720
                Author notes
                2To whom correspondence should be addressed. Email: kimcarlson@ 123456gmail.com .

                Edited by Stephen Polasky, University of Minnesota, St. Paul, MN, and approved September 29, 2017 (received for review March 21, 2017)

                Author contributions: K.M.C., H.K.G., D.C.M., and N.F.W. designed research; K.M.C., R.H., H.K.G., and P.N. performed research; K.M.C. and R.H. analyzed data; and K.M.C., R.H., H.K.G., P.N., D.N.B., D.C.M., N.F.W., G.D.P., and C.K. wrote the paper.

                1K.M.C. and R.H. contributed equally to this work.

                Author information
                http://orcid.org/0000-0003-2162-1378
                http://orcid.org/0000-0001-8980-9639
                Article
                201704728
                10.1073/pnas.1704728114
                5776786
                29229857
                d4167382-680b-443d-9e2f-0e4744c04feb
                Copyright © 2017 the Author(s). Published by PNAS.

                This is an open access article distributed under the PNAS license.

                History
                Page count
                Pages: 6
                Funding
                Funded by: National Aeronautics and Space Administration (NASA) 100000104
                Award ID: NNX16AI20G
                Funded by: USDA | National Institute of Food and Agriculture (NIFA) 100005825
                Award ID: HAW01136-H
                Categories
                9
                Social Sciences
                Sustainability Science
                Biological Sciences
                Environmental Sciences
                From the Cover

                roundtable on sustainable palm oil,peatland,quasi-experimental methods,governance,tropical commodity

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