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Diversity  2013 

Land and Forest Degradation inside Protected Areas in Latin America

DOI: 10.3390/d5040779

Keywords: habitat conversion, deforestation, effectiveness, Terra-i, Normalized Differential Vegetation Index (NDVI), remote sensing, South America, Central America

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Abstract:

Using six years of remote sensing data, we estimated land and forest degradation inside 1788 protected areas across 19 countries in Latin America. From 2004–2009, the rate of land and forest degradation increased by 250% inside the protected areas, and the land and forest degradation totaled 1,097,618 hectares. Of the protected areas in our dataset, 45% had land and forest degradation. There were relatively large variations by major habitat type, with flooded grasslands/savannas and moist broadleaf forest protected areas having the highest rates of degradation. We found no association between a country’s rate of land and forest degradation inside protected areas and Gross Domestic Product (GDP) per capita, GDP growth, or rural population density. We found significant, but weak, associations between the rate of land and forest degradation inside protected areas and a country’s protected area system funding, the size of the protected area, and one International Union for the Conservation of Nature (IUCN) management category. Our results suggest a high degree of heterogeneity in the variables impacting land and forest degradation inside protected areas in Latin America, but that the targeting of protected area investments on a continental scale is plausible.

References

[1]  IUCN and UNEP-WCMC. The World Database on Protected Areas; IUCN and UNEP-WCMC: New York, NY, USA, 2011.
[2]  Bertzky, B.; Corrigan, C.; Kemsey, J.; Kenney, S.; Ravilious, C.; Besan?on, C.; Burgess, N. Protected Planet Report 2012: Tracking Progress towards Global Targets for Protected Areas; IUCN and UNEP-WCMC: Gland, Switzerland and Cambridge, UK, 2012.
[3]  Dudley, N. Guidelines for Applying Protected Areas Management Categories; IUCN: Gland, Switzerland, 2008.
[4]  Hockings, M. Systems for assessing the effectiveness of management in protected areas. BioScience 2003, 53, 823–832, doi:10.1641/0006-3568(2003)053[0823:SFATEO]2.0.CO;2.
[5]  Leverington, F.; Costa, K.L.; Pavese, H.; Lisle, A.; Hockings, M. A global analysis of protected area management effectiveness. Environ. Manag. 2010, 46, 685–698, doi:10.1007/s00267-010-9564-5.
[6]  Rodrigues, A.S.; Andelman, S.J.; Bakarr, M.I.; Boitani, L.; Brooks, T.M.; Cowling, R.M.; Yan, X. Effectiveness of the global protected area network in representing species diversity. Nature 2004, 428, 640–643, doi:10.1038/nature02422.
[7]  Chape, S.; Spalding, M.D.; Jenkins, M.D. The World’s Protected Areas: Status, Values and Prospects in the 21st Century; University of California Press: Berkeley, CA, USA, 2008.
[8]  Andam, K.; Ferraro, P.; Pfaff, A.; Sanchez-Azofeifa, G.; Robalino, J. Measuring the effectiveness of protected area networks in reducing deforestation. Proc. Natl. Acad. Sci. USA 2008, 105, 16089–16094.
[9]  Craigie, I.D.; Baillie, J.E.; Balmford, A.; Carbone, C.; Collen, B.; Green, R.E.; Hutton, J.M. Large mammal population declines in Africa’s protected areas. Biol. Conserv. 2010, 143, 2221–2228, doi:10.1016/j.biocon.2010.06.007.
[10]  Guisan, A.; Thuiller, W. Predicting species distribution: Offering more than simple habitat models. Ecol. Lett. 2005, 8, 993–1009, doi:10.1111/j.1461-0248.2005.00792.x.
[11]  Guo, L.B.; Gifford, R.M. Soil carbon stocks and land use change: A meta analysis. Glob. Change Biol. 2002, 8, 345–360, doi:10.1046/j.1354-1013.2002.00486.x.
[12]  Fahrig, L. Effects of habitat fragmentation on biodiversity. Annu. Rev. Ecol. Evol. Syst. 2003, 3, 487–515, doi:10.1146/annurev.ecolsys.34.011802.132419.
[13]  Nagendra, H. Do parks work? Impact of protected areas on land cover clearing. AMBIO 2008, 37, 330–337, doi:10.1579/06-R-184.1.
[14]  Joppa, L.; Pfaff, A. Reassessing the forest impacts of protection. Ann. N. Y. Acad. Sci. 2010, 1185, 135–149, doi:10.1111/j.1749-6632.2009.05162.x.
[15]  Gaveau, D.L.; Epting, J.; Lyne, O.; Linkie, M.; Kumara, I.; Kanninen, M.; Leader-Williams, N. Evaluating whether protected areas reduce tropical deforestation in Sumatra. J. Biogeogr. 2009, 36, 2165–2175, doi:10.1111/j.1365-2699.2009.02147.x.
[16]  Nagendra, H.; Rocchini, D.; Ghate, R. Beyond parks as monoliths: Spatially differentiating park-people relationships in the Tadoba Andhari Tiger Reserve in India. Biol. Conserv. 2010, 143, 2900–2908, doi:10.1016/j.biocon.2010.04.050.
[17]  Ferraro, P.J.; Hanauer, M.M.; Sims, K.R. Conditions associated with protected area success in conservation and poverty reduction. Proc. Natl. Acad. Sci. USA 2011, 108, 13913–13918, doi:10.1073/pnas.1011529108.
[18]  Friedl, M.A.; McIver, D.K.; Hodges, J.C.F.; Zhang, X.Y.; Muchoney, D.; Strahler, A.H.; Schaaf, C. Global land cover mapping from MODIS: Algorithms and early results. Remote Sens. Environ. 2002, 83, 287–302, doi:10.1016/S0034-4257(02)00078-0.
[19]  Lunetta, R.S.; Knight, J.F.; Ediriwickrema, J.; Lyon, J.G.; Worthy, L.D. Land-cover change detection using multi-temporal MODIS NDVI data. Remote Sens. Environ. 2006, 105, 142–154, doi:10.1016/j.rse.2006.06.018.
[20]  Strahler, A.H.; Boschetti, L.; Foody, G.M.; Friedl, M.A.; Hansen, M.C.; Herold, M.; Woodcock, C.E. Global Land Cover Validation: Recommendations for Evaluation and Accuracy Assessment of Global Land Cover Maps; European Commission, DG Joint Research Centre, Institute for Environment and Sustainability: Luxembourg, 2006.
[21]  DETER System, National Institute for Space Research Brazil. Available online: http://www.inpe.br/ingles/news/news.php?Cod_Noticia=343 (accessed on 1 August 2013).
[22]  FORMA Project, Center of Global Development. Available online: http://www.cgdev.org/initiative/forest-monitoring-action-forma (accessed on 1 August 2013).
[23]  Terra-i. Available online: http://www.terra-i.org/terra-i/data.html (accessed on 1 August 2013).
[24]  Morton, C.D.; DeFries, R.S.; Shimabukuro, Y.E.; Anderson, L.O.; del Bon Espírito-Santo, F. Rapid assessment of annual deforestation in the Brazilian Amazon using MODIS data. Earth Interact. 2005, 9, 1–22.
[25]  Wang, J.; Rich, P.M.; Price, K.P.; Kettle, W.D. Relations between NDVI, grassland production, and crop yield in the central great plains. Geocarto Int. 2005, 20, 5–11.
[26]  Gupta, R.P. Remote Sensing Geology, 2nd ed. ed.; Springer: Berlin, Germany, 2003.
[27]  Roerink, G.J.; Menenti, M.; Verhoef, W. Reconstructing cloud free NDVI composites using Fourier analysis of time series. Int. J. Remote Sens. 2000, 21, 1911–1917, doi:10.1080/014311600209814.
[28]  Xiao, X.; Moore, B.; Qin, X.; Shen, Z.; Boles, S. Large-scale observations of alpine snow and ice cover in Asia using multi-temporal VEGETATION sensor data. Int. J. Remote Sens. 2002, 23, 2213–2228, doi:10.1080/01431160110076180.
[29]  Sakamoto, T.; van Nguyen, N.; Kotera, A.; Ohno, H.; Ishitsuka, N.; Yokozawa, M. Detecting temporal changes in the extent of annual flooding within the Cambodia and the Vietnamese Mekong Delta from MODIS time-series imagery. Remote Sens. Environ. 2007, 109, 295–313, doi:10.1016/j.rse.2007.01.011.
[30]  Yan, Y.E.; Ouyang, Z.T.; Guo, H.Q.; Jin, S.S.; Zhao, B. Detecting the spatiotemporal changes of tidal flood in the estuarine wetland by using MODIS time series data. J. Hydrol. 2010, 384, 156–163, doi:10.1016/j.jhydrol.2010.01.019.
[31]  MODIS MOD35. Available online: http://modis-atmos.gsfc.nasa.gov/MOD35_L2/ (accessed on 1 August 2013).
[32]  Tropical Rainfall Measuring Mission. Available online: http://trmm.gsfc.nasa.gov/ (accessed on 1 August 2013).
[33]  WWF terrestrial biomes. Available online: http://worldwildlife.org/biomes (accessed on 1 August 2013).
[34]  World Bank. World Development Indicators. Available online: http://data.worldbank.org/data-catalog/world-development-indicators (accessed on 1 August 2013).
[35]  Bovarnick, A.; Fernandez Baca, J.; Galindo, J.; Negret, H. Financial Sustainability of Protected Areas in Latin America and the Caribbean; United Nations Development Program and The Nature Conservancy: New York, NY, USA and Arlington, TX, USA, 2010.
[36]  Mas, J.F. Assessing protected area effectiveness using surrounding (buffer) areas environmentally similar to the target area. Environ. Monit. Assess. 2005, 105, 69–80, doi:10.1007/s10661-005-3156-5.
[37]  Joppa, L.N.; Pfaff, A. High and far: Biases in the location of protected areas. PLoS One 2009, 4, e8273, doi:10.1371/journal.pone.0008273.
[38]  Greene, W.H. On the asymptotic bias of the ordinary least squares estimator of the Tobit model. Econometrica 1981, 49, 505–513, doi:10.2307/1913323.
[39]  Tobin, J. Estimation of relationships for limited dependent variables. Econometrica 1958, 26, 24–36, doi:10.2307/1907382.
[40]  Greene, W. Fixed effects and bias due to the incidental parameters problem in the Tobit model. Econom. Rev. 2004, 23, 125–147, doi:10.1081/ETC-120039606.
[41]  Wilcoxon, F. Individual comparisons by ranking methods. Biom. Bull. 1945, 1–6, 80–83, doi:10.2307/3001968.
[42]  Friedman, M. The use of ranks to avoid the assumption of normality implicit in the analysis of variance. J. Am. Stat. Assoc. 1937, 32, 675–701, doi:10.1080/01621459.1937.10503522.
[43]  Friedman, M. A correction: The use of ranks to avoid the assumption of normality implicit in the analysis of variance. J. Am. Stat. Assoc. 1939, 34, 109.
[44]  Wittemyer, G.; Elsen, P.; Bean, W.; Burton, A.C.O.; Brashares, J. Accelerated human population growth at protected area edges. Science 2008, 321, 123–126.
[45]  Milanovic, B. Worlds Apart: Measuring International and Global Inequality; Princeton University Press: Princeton, NJ, USA, 2011.
[46]  The highest correlation coefficients were found for GDP growth and the funding level (Pearson correlation coefficient: 0.6) and for GDP/capita and population density (?0.5), both being statistically significant at the 5% level. The correlation coefficients for the other pairs of variables were all below 0.3. We also estimated a number of partial models in which we reduced the collinearity by including no combination of variables with a correlation coefficient above 0.3, and found similar results.
[47]  Wooldridge, J. Introductory Econometrics: A Modern Approach, 3rd ed. ed.; South-Western College Publishing: Florence, KY, USA, 2005.
[48]  Lambin, E.F.; Turner, B.L.; Geist, H.J.; Agbola, S.B.; Angelsen, A.; Bruce, J.W.; Xu, J. The causes of land-use and land-cover change: Moving beyond the myths. Global Environ. Change 2001, 11, 261–269, doi:10.1016/S0959-3780(01)00007-3.
[49]  Bonilla-Moheno, M.; Aide, T.M.; Clark, M.L. The influence of socioeconomic, environmental, and demographic factors on municipality-scale land-cover change in Mexico. Reg. Environ. Change 2012, 12, 543–557, doi:10.1007/s10113-011-0268-z.
[50]  Bruner, A.G.; Gullison, R.E.; Rice, R.E.; da Fonseca, G.A. Effectiveness of parks in protecting tropical biodiversity. Science 2001, 291, 125–128, doi:10.1126/science.291.5501.125.
[51]  Woodroffe, R.; Ginsberg, J.R. Edge effects and the extinction of populations inside protected areas. Science 1998, 280, 2126–2128, doi:10.1126/science.280.5372.2126.
[52]  Brashares, J.S.; Arcese, P.; Sam, M.K. Human demography and reserve size predict wildlife extinction in West Africa. Proc. R. Soc. B—Biol. Sci. 2001, 268, 2473–2478, doi:10.1098/rspb.2001.1815.
[53]  In hectares, the groups cover the following sizes: 500–1016; 1016–1965; 1965–3531; 3531–6550; 6550–12,447; 12,447–26,093; 26,093–52,580; 52,580–123,565; 123,565–374,725; and 374,725–5,041,193.
[54]  Ferraro, P.J.; Hanauer, M.M.; Miteva, D.A.; Canavire-Bacarreza, G.J.; Pattanayak, S.K.; Sims, K.R. More strictly protected areas are not necessarily more protective: Evidence from Bolivia, Costa Rica, Indonesia, and Thailand. Environ. Res. Lett. 2013, 8, 025011, doi:10.1088/1748-9326/8/2/025011.
[55]  Joppa, L.N.; Pfaff, A. Global protected area impacts. Proc. R. Soc. B—Biol. Sci. 2011, 278, 1633–1638, doi:10.1098/rspb.2010.1713.
[56]  McDonald, R.I.; Boucher, T.M. Global development and the future of the protected area strategy. Biol. Conserv. 2011, 144, 383–392, doi:10.1016/j.biocon.2010.09.016.

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