High and Far: Biases in the Location of Protected Areas

Background About an eighth of the earth's land surface is in protected areas (hereafter “PAs”), most created during the 20th century. Natural landscapes are critical for species persistence and PAs can play a major role in conservation and in climate policy. Such contributions may be harder than expected to implement if new PAs are constrained to the same kinds of locations that PAs currently occupy. Methodology/Principal Findings Quantitatively extending the perception that PAs occupy “rock and ice”, we show that across 147 nations PA networks are biased towards places that are unlikely to face land conversion pressures even in the absence of protection. We test each country's PA network for bias in elevation, slope, distances to roads and cities, and suitability for agriculture. Further, within each country's set of PAs, we also ask if the level of protection is biased in these ways. We find that the significant majority of national PA networks are biased to higher elevations, steeper slopes and greater distances to roads and cities. Also, within a country, PAs with higher protection status are more biased than are the PAs with lower protection statuses. Conclusions/Significance In sum, PAs are biased towards where they can least prevent land conversion (even if they offer perfect protection). These globally comprehensive results extend findings from nation-level analyses. They imply that siting rules such as the Convention on Biological Diversity's 2010 Target [to protect 10% of all ecoregions] might raise PA impacts if applied at the country level. In light of the potential for global carbon-based payments for avoided deforestation or REDD, these results suggest that attention to threat could improve outcomes from the creation and management of PAs.

[1]  Lucas Joppa,et al.  Expansion of the global terrestrial protected area system. , 2009 .

[2]  P. Ferraro,et al.  Park Location Affects Forest Protection: Land Characteristics Cause Differences in Park Impacts across Costa Rica , 2009 .

[3]  L. Joppa,et al.  On Population Growth Near Protected Areas , 2009, PloS one.

[4]  P. Ferraro,et al.  Measuring the effectiveness of protected area networks in reducing deforestation , 2008, Proceedings of the National Academy of Sciences.

[5]  Lucas N Joppa,et al.  On the protection of “protected areas” , 2008, Proceedings of the National Academy of Sciences.

[6]  Richard M Cowling,et al.  Conservation planning in a changing world. , 2007, Trends in ecology & evolution.

[7]  G. Asner,et al.  Land-Use Allocation Protects the Peruvian Amazon , 2007, Science.

[8]  S. Polasky,et al.  Integrating economic costs into conservation planning. , 2006, Trends in ecology & evolution.

[9]  Luigi Boitani,et al.  Gap analysis of terrestrial vertebrates in Italy: Priorities for conservation planning in a human dominated landscape , 2006 .

[10]  Gretchen C Daily,et al.  Conservation Planning for Ecosystem Services , 2006, PLoS biology.

[11]  L. Gorenflo,et al.  Key Human Dimensions of Gaps in Global Biodiversity Conservation , 2006 .

[12]  T. Brooks,et al.  Global Biodiversity Conservation Priorities , 2006, Science.

[13]  K. Brandon,et al.  The role of protected areas in conserving biodiversity and sustaining local livelihoods , 2005 .

[14]  T. Loveland,et al.  National Wildlife Refuge System: Ecological Context and Integrity , 2005 .

[15]  H. Locke,et al.  Rethinking protected area categories and the new paradigm , 2005, Environmental Conservation.

[16]  R. DeFries,et al.  INCREASING ISOLATION OF PROTECTED AREAS IN TROPICAL FORESTS OVER THE PAST TWENTY YEARS , 2005 .

[17]  Taylor H. Ricketts,et al.  The Convention on Biological Diversity's 2010 Target , 2005, Science.

[18]  T. Ricketts,et al.  Confronting a biome crisis: global disparities of habitat loss and protection , 2004 .

[19]  Matthew E. Watts,et al.  Global Gap Analysis: Priority Regions for Expanding the Global Protected-Area Network , 2004 .

[20]  G. Sánchez‐Azofeifa,et al.  Deforestation pressure and biological reserve planning: a conceptual approach and an illustrative application for Costa Rica , 2004 .

[21]  Matthew E. Watts,et al.  Effectiveness of the global protected area network in representing species diversity , 2004, Nature.

[22]  Iain R. Lake,et al.  Extent of Nontimber Resource Extraction in Tropical Forests: Accessibility to Game Vertebrates by Hunters in the Amazon Basin , 2003 .

[23]  E. Lambin,et al.  Proximate Causes and Underlying Driving Forces of Tropical Deforestation , 2002 .

[24]  G. Powell,et al.  Terrestrial Ecoregions of the World: A New Map of Life on Earth , 2001 .

[25]  R. G. Wright,et al.  NATURE RESERVES: DO THEY CAPTURE THE FULL RANGE OF AMERICA'S BIOLOGICAL DIVERSITY? , 2001 .

[26]  G A da Fonseca,et al.  Effectiveness of parks in protecting tropical biodiversity. , 2001, Science.

[27]  R. Mittermeier,et al.  Biodiversity hotspots for conservation priorities , 2000, Nature.

[28]  Amy W. Ando,et al.  Species distributions, land values, and efficient conservation , 1998, Science.

[29]  Alexander Strickland Pfaff Talikoff What Drives Deforestation in the Brazilian Amazon? Evidence from Satellite and Socioeconomic Data , 1997 .

[30]  Robert L. Pressey,et al.  The cost of ad hoc reservation: a case study in western New South Wales. , 1994 .

[31]  Angela Cropper,et al.  Convention on Biological Diversity , 1993, Environmental Conservation.

[32]  M. Hunter,et al.  Altitudinal Distributions of Birds, Mammals, People, Forests, and Parks in Nepal , 1993 .

[33]  K. Limburg,et al.  Ecological economics reviews , 2011 .

[34]  S. Sarkar,et al.  Systematic conservation planning , 2000, Nature.

[35]  H. Jacoby,et al.  WHAT DRIVES DEFORESTATION IN THE BRAZILIAN AMAZON ? Evidence from Satellite and Socioeconomic Data , 1999 .