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      Deforestation in Colombian protected areas increased during post-conflict periods

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          Abstract

          Protected areas (PAs) are a foundational and essential strategy for reducing biodiversity loss. However, many PAs around the world exist on paper only; thus, while logging and habitat conversion may be banned in these areas, illegal activities often continue to cause alarming habitat destruction. In such cases, the presence of armed conflict may ultimately prevent incursions to a greater extent than the absence of conflict. Although there are several reports of habitat destruction following cessation of conflict, there has never been a systematic and quantitative “before-and-after-conflict” analysis of a large sample of PAs and surrounding areas. Here we report the results of such a study in Colombia, using an open-access global forest change dataset. By analysing 39 PAs over three years before and after Colombia’s peace agreement with the Revolutionary Armed Forces of Colombia (FARC), we found a dramatic and highly significant increase in the deforestation rate for the majority of these areas and their buffer zones. We discuss the reasons behind such findings from the Colombian case, and debate some general conservation lessons applicable to other countries undergoing post-conflict transitions.

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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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            Effect of habitat area and isolation on fragmented animal populations.

            Habitat destruction has driven many once-contiguous animal populations into remnant patches of varying size and isolation. The underlying framework for the conservation of fragmented populations is founded on the principles of island biogeography, wherein the probability of species occurrence in habitat patches varies as a function of patch size and isolation. Despite decades of research, the general importance of patch area and isolation as predictors of species occupancy in fragmented terrestrial systems remains unknown because of a lack of quantitative synthesis. Here, we compile occupancy data from 1,015 bird, mammal, reptile, amphibian, and invertebrate population networks on 6 continents and show that patch area and isolation are surprisingly poor predictors of occupancy for most species. We examine factors such as improper scaling and biases in species representation as explanations and find that the type of land cover separating patches most strongly affects the sensitivity of species to patch area and isolation. Our results indicate that patch area and isolation are indeed important factors affecting the occupancy of many species, but properties of the intervening matrix should not be ignored. Improving matrix quality may lead to higher conservation returns than manipulating the size and configuration of remnant patches for many of the species that persist in the aftermath of habitat destruction.
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              INCREASING ISOLATION OF PROTECTED AREAS IN TROPICAL FORESTS OVER THE PAST TWENTY YEARS

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                Author and article information

                Contributors
                nicola.clerici@urosario.edu.co
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                18 March 2020
                18 March 2020
                2020
                : 10
                : 4971
                Affiliations
                [1 ]ISNI 0000 0001 2205 5940, GRID grid.412191.e, Department of Biology, Faculty of Natural Sciences and Mathematics. Universidad del Rosario, ; Kr 26 No 63B-48, 111221 Bogotá, D.C. Colombia
                [2 ]ISNI 0000 0001 0286 3748, GRID grid.10689.36, Ecología del Paisaje y Modelación de Ecosistemas-ECOLMOD, Departamento de Biología, Universidad Nacional de Colombia, ; Cra. 30 # 45-03 Bogotá, D.C Colombia
                [3 ]ISNI 0000 0000 9632 6718, GRID grid.19006.3e, Institute of the Environment and Sustainability, University of California, ; Los Angeles, CA 90024 USA
                [4 ]Fundación para la Conservación y el Desarrollo Sostenible, Cra 70C # 50-47 Bogotá, Colombia
                [5 ]ISNI 0000 0001 2156 9982, GRID grid.266876.b, Natural Resource and Environmental Studies Institute, University of Northern British Columbia, 3333 University Way, ; Prince George, V2N 4Z9 Canada
                [6 ]Instituto de Hidrología, Meteorología y Estudios Ambientales (IDEAM), Calle 25D No. 96B-70 Bogotá, Colombia
                [7 ]Wildlife Conservation Society – Colombia. Avenida 5 Norte, #22 N – 11 Cali, Colombia
                [8 ]ISNI 0000 0001 2237 7528, GRID grid.466790.a, Instituto de Investigación de Recursos Biológicos Alexander von Humboldt, Bogotá D.C, Colombia, Avenida Paseo Bolivar (Circunvalar), ; 16-20 Bogotá, D.C Colombia
                [9 ]ISNI 0000 0004 1936 8796, GRID grid.430387.b, Department of Geography, Livingston Campus, Rutgers, The State University of New Jersey, ; Piscataway, 08854 NJ USA
                [10 ]Environmental consultant, Cll.74#11-81, Bogotá, D.C. 111221 Colombia
                [11 ]ISNI 0000 0004 0437 5432, GRID grid.1022.1, Environmental Futures Research Institute. Griffith University, ; Nathan, Queensland 4111 Australia
                [12 ]ISNI 0000 0001 2214 904X, GRID grid.11956.3a, Centre for Complex Systems in Transition, School of Public Leadership, Stellenbosch University, ; Stellenbosch, 7600 South Africa
                [13 ]ISNI 0000 0001 2214 904X, GRID grid.11956.3a, Department of Conservation Ecology and Entomology, Stellenbosch University, Private Bag X1, ; Matieland, 7602 South Africa
                Author information
                http://orcid.org/0000-0003-4547-7606
                http://orcid.org/0000-0003-0922-7298
                http://orcid.org/0000-0002-5330-2585
                http://orcid.org/0000-0001-7900-903X
                http://orcid.org/0000-0002-3544-4360
                http://orcid.org/0000-0002-1021-0226
                https://orcid.org/0000-0003-3177-4677
                Article
                61861
                10.1038/s41598-020-61861-y
                7080754
                32188909
                ef3876b8-288f-4688-b55c-1052a553729d
                © The Author(s) 2020

                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
                : 27 August 2019
                : 2 March 2020
                Categories
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                © The Author(s) 2020

                Uncategorized
                conservation biology,forestry
                Uncategorized
                conservation biology, forestry

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