Measuring forest fragmentation using multitemporal remotely sensed data: three decades of change in the dry Chaco

References

• Achard F., Hansen M. C. (2012)—Global Forest Monitoring from Earth Observation. CRC Press, Boca Raton, Florida, USA, pp. 354.
   Google Scholar
• Almeida P., Altobelli A., D' Aietti L., Feoli E., Ganis P., Giordano F., Napolitano R., Simonetti C. (2014)—The role of vegetation analysis by remote sensing and GIS technology for planning sustainable development: A case study for the Santos estuary drainage basin (Brazil). Plant Biosystems 148 (3): 1126–3504. doi: http://dx.doi.org/10.1080/11263504.2014.900130.
   Google Scholar
• Batistella M., Robeson S., Moran E. F. (2003)—Settlement Design, Forest Fragmentation, and Landscape Change in Rondônia, Amazônia. Photogrammetric Engineering & Remote Sensing, 69: 805–812.
   Web of Science ®Google Scholar
• Cabido M. R., Acosta A. T. R., Carranza M. L., Diaz S. (1992)—La vegetación del Chaco Árido en el W de la provincia de Córdoba, Argentina. Documents Phytosociologiques, 14: 447–459.
   Google Scholar
• Cáceres D. M. (2014)—Accumulation by Dispossession and Socio-Environmental Conflicts Caused by the Expansion of Agribusiness in Argentina. Journal of Agrarian Change. doi: http://dx.doi.org/10.1111/joac.12057.
   Google Scholar
• Cagnolo L., Cabido M., Valladares G. (2006)—Plant species richness in the Chaco Serrano Woodland from central Argentina: ecological traits and habitat fragmentation effects. Biological Conservation, 132: 510–519. doi: http://dx.doi.org/10.1016/j.biocon.2006.05.012.
   Web of Science ®Google Scholar
• Caldas M. M., Goodin D., Sherwood S., Campos Krauer J. M., Wisely S. M. (2013)—Land-cover change in the Paraguayan Chaco: 2000–2011. Journal of Land Use Science. doi: http://dx.doi.org/10.1080/1747423X.2013.807314.
   Google Scholar
• Conti G., Díaz S. (2013)—Plant functional diversity and carbon storage—an empirical test in semi-arid forest ecosystems. Journal of Ecology, 101: 18–28. doi: http://dx.doi.org/10.1111/1365-2745.12012.
   Web of Science ®Google Scholar
• Cushman S.A., McGarigal K. (2007)—Multivariate landscape trajectory analysis: an example using simulation modeling of American marten habitat change under four timber harvest scenarios. In: Temporal dimensions in landscape ecology: Wildlife responses to variable resources, Bissonette, J. A. and Storch I. (Eds.), Springer US, New York, NY, USA, pp. 119–140.
   Google Scholar
• Fahrig L. (2003)—Effects of habitat fragmentation on biodiversity. Annual Review of Ecology, Evolution, and Systematics, 34: 487–515. doi: http://dx.doi.org/10.1146/annurev.ecolsys.34.011802.132419.
   Web of Science ®Google Scholar
• FAO (2012)—State of the World's Forests 2012. Food and Agriculture Organization of the United Nations, Rome, Italy. Available at: http://www.fao.org/docrep/016/i3010e/i3010e.pdf (last accessed: 22/11/2014).
   Google Scholar
• Fichera C.R., Modica G., Pollino M. (2012)—Land cover classification and change-detection analysis using multi-temporal remote sensed imagery and landscape metrics. European Journal of Remote Sensing 45: 1–18. doi: http://dx.doi.org/10.5721/EuJRS20124501.
   Web of Science ®Google Scholar
• Foley J. A., Defries R., Asner G. P., Barford C., Bonan G., Carpenter S. R., Chapin F. S. III, Coe M. T., Daily G. C., Gibbs H. K., Helkowski J. H., Holloway T., Howard E. A., Kucharik C. J., Monfreda C., Patz J. A., Prentice I. C., Ramankutty N., Snyder P. K. (2005)—Global consequences of land use. Science, 309: 570–574. doi: http://dx.doi.org/10.1126/science.1111772.
   PubMed Web of Science ®Google Scholar
• Forman R. T. T., Godron M. (1986)—Landscape ecology. John Wiley and Sons, New York, NY, USA, pp. 640.
   Google Scholar
• Fortin M-J., Jacquez G. M., Shipley B. (2012)—Computer-intense methods. In: Encyclopedia of environmetrics, 2nd edn, El-Shaarawi A., Piegorsch W.W. (Eds.), Wiley, Chichester, UK, pp. 399–402.
   Google Scholar
• Frate L., Saura S., Minotti M., Di Martino P., Giancola C., Carranza, M. L. (2014)—Quantifying Forest Spatial Pattern Trends at Multiple Extents: An Approach to Detect Significant Changes at Different Scales. Remote Sensing, 6: 9298–9315. doi: http://dx.doi.org/10.3390/rs6109298.
   Web of Science ®Google Scholar
• Frohn R. C., Hao Y. (2006)—Landscape metric performance in analyzing two decades of deforestation in the Amazon Basin of Rondonia, Brazil. Remote Sensing of Environment, 100: 237–251. doi: http://dx.doi.org/10.1016/j.rse.2005.10.026.
   Web of Science ®Google Scholar
• Gamfeldt L., Snäll T., Bagchi R., Jonsson M., Gustafsson L., Kjellander P., Ruiz-Jaen M. C., Fröberg M., Stendahl J., Philipson, C.D., Mikusiński G., Andersson E., Westerlund B., Andrén H., Moberg F., Moen J., Bengtsson J. (2013)—Higher levels of multiple ecosystem services are found in forests with more tree species. Nature Communications, 4: 1340. doi: http://dx.doi.org/10.1038/ncomms2328.
   PubMed Web of Science ®Google Scholar
• Gargano D., Mingozzi A., Massolo A., Rinaldo S., Bernardo L. (2012)—Patterns of vegetation cover/dynamics in a protected Mediterranean mountain area: Influence of the ecological context and protection policy. Plant Biosystems, 146 (1): 1126–3504. doi: http://dx.doi.org/10.1080/11263504.2011.641689.
   Google Scholar
• Gomez-Sanz V., Bunce R. G. H., Elana-Rossello R. (2008)—Landscape assessment and monitoring. In: Forest Landscape and Global Change: Challenges for Research and Management, Azevedo J.C., Perera A.H., Pinto M.A. (Eds.), Springer, New York, NY, USA, pp. 199–226.
   Google Scholar
• Grau H. R., Gasparri N. I., Aide T. M. (2005)—Agriculture expansion and deforestation in seasonally dry forests of north-west Argentina. Environmental Conservation, 32: 140–148. doi: http://dx.doi.org/10.1017/S0376892905002092.
   Web of Science ®Google Scholar
• Grau R., Aide M. (2008)—Globalization and land-use transitions in Latin America. Ecology and Society, 13.
   Google Scholar
• Hansen M. C., Potapov P., Turubanova S. (2012)—Use of Coarse-Resolution Imagery to Identify Hot Spots of Forest Loss at the Global Scale. In: Global Forest Monitoring from Earth Observation, Achard F., Hansen M. C. (Eds.), CRC Press, Boca Raton, Florida, USA, pp. 107–124.
   Google Scholar
• Hassett E. M., Stehman S. V., Wickham J. D. (2012)—Estimating landscape pattern metrics from a sample of land cover. Landscape Ecology, 27: 133–149. doi: http://dx.doi.org/10.1007/s10980-011-9657-4.
   Google Scholar
• Hoyos L. E., Cingolani A. M., Zak M. R., Vaieretti M. V., Gorla D. E., Cabido M. R. (2013)—Deforestation and precipitation patterns in the arid Chaco forests of central Argentina. Applied Vegetation Science, 16: 260–271. doi: http://dx.doi.org/10.1111/j.1654109X.2012.01218.x.
   Google Scholar
• Li X., He H. S., Wang X., Bu R., Hu Y., Chang Y. (2004)—Evaluating the effectiveness of neutral landscape models to represent a real landscape. Landscape and Urban Planning, 69: 137–148. doi: http://dx.doi.org/10.1016/j.landurbplan.2003.10.037.
   Web of Science ®Google Scholar
• Long J. A., Nelson T. A., Wulder M. A. (2010)—Characterizing forest fragmentation: Distinguishing change in composition from configuration. Applied Geography, 30: 426–435. doi: http://dx.doi.org/10.1016/j.apgeog.2009.12.002.
   Google Scholar
• Manly B. F. J. (2006)—Randomization, bootstrap and Monte Carlo methods in biology, 3^rd edn. Chapman and Hall, Boca Raton, Florida, USA. pp. 461.
   Google Scholar
• Marchetti M., Sallustio L., Ottaviano M., Barbati A., Corona P., Tognetti R., Zavattero L., Capotorti G. (2012)—Sequestration by forests in the National Parks of Italy. Plant Biosystems, 146 (4): 1001–1011. doi: http://dx.doi.org/10.1080/11263504.2012.738715.
   Web of Science ®Google Scholar
• McGarigal K., Marks B. J. (1995)—FRAGSTATS: Spatial Pattern Analysis Program for Quantifying Landscape Structure. General Technical Report PNW-GTR-351. USDA, Forest Service, Pacific Northwest Research Station, Portland, OR, USA.
   Google Scholar
• Molina S. I., Valladares G. R., Gardner S., Cabido M. R. (1999)—The effects of logging and grazing on the insect community associated with a semi-arid Chaco forest in central Argentina. Journal of Arid Environments, 42: 29–42. doi: http://dx.doi.org/10.1006/jare.1999.0498.
   Web of Science ®Google Scholar
• Morello, J., Adamoli J. (1974)—Las grandes unidades de vegetacion y ambiente del Chaco Argentino. Segunda parte: Vegetacion y ambiente de la Provincia del Chaco. Serie Fitogeografica INTA 13, Centro de Investigaciones de Recursos Naturales, Instituto Nacional de Tecnologia Agropecuaria, Buenos Aires, Argentina.
   Google Scholar
• Moreno-Sanchez R., Torres-Rojo J. M., Moreno-Sanchez F., Hawkins S., Little J., McPartland, S. (2012)—National assessment of the fragmentation, accessibility and anthropogenic pressure on the forests in Mexico. Journal of Forestry Research, 23 (4): 529–541. doi: http://dx.doi.org/10.1007/s11676-012-0293-x.
   Google Scholar
• Neel M. C., McGarigal K., Cushman S. A. (2004)—Behavior of class-level landscape metrics across gradients of class aggregation and area. Landscape Ecology, 19: 435–455. doi: http://dx.doi.org/10.1023/B:LAND.0000030521.19856.cb.
   Web of Science ®Google Scholar
• Overton W. S., Stehman S. V. (1995)—The Horvitz-Thompson theorem as a unifying perspective for probability sampling: With examples from natural resource sampling. American Statistician, 49: 261–1995.
   Web of Science ®Google Scholar
• Potapov P., Turubanova S., Hansen M.C., Zhuravleva I., Yaroshenko A., Laestadius L. (2012)—Monitoring Forest Loss and Degradation at National to Global Scales Using Landsat Data. In: Achard, F., Hansen, M.C. (Eds.), Global Forest Monitoring from Earth Observation. CRC Press, Boca Raton, Florida, USA, pp. 143–166.
   Google Scholar
• Ramezani H., Holm S., Allard A., Ståhla G. (2013)—A review of sampling-based approaches for estimating landscape metrics. Norwegian Journal of Geography, 67: 61–71. doi: http://dx.doi.org/10.1080/00291951.2013.784800.
   Web of Science ®Google Scholar
• Saura S., Martínez-Millán J. (2001)—Sensitivity of landscape pattern metrics to map spatial extent. Photogrammetric Engineering & Remote Sensing, 67: 1027–1036.
   Web of Science ®Google Scholar
• Sayago M. (1969)—Estudio fitogeográfico del norte de Córdoba. Boletín Academia Nacional de Ciencias Córdoba 46: 123–427.
   Google Scholar
• Stehman S. V. (2012)—Sampling Strategies for Forest Monitoring from Global to National Levels. In: Achard, F., Hansen, M. C. (Eds.), Global Forest Monitoring from Earth Observation. CRC Press, Boca Raton, Florida, USA, pp. 79–105.
   Google Scholar
• Stehman S. V., Sohl T. L., Loveland T. R. (2003)—Statistical sampling to characterize recent United States land-cover change. Remote Sensing of Environment, 86: 517–529.
   Web of Science ®Google Scholar
• Schucknecht A., Erasmi S., Niemeyer I., Matschullat J. (2013)—Assessing vegetation variability and trends in north-eastern Brazil using AVHRR and MODIS NDVI time series. European Journal of Remote Sensing, 46: 40–59. doi: http://dx.doi.org/10.5721/EuJRS20134603.
   Web of Science ®Google Scholar
• Torrella S.A., Ginzburg R.G., Adámoli J. M., Galetto L. (2013)—Changes in forest structure and tree recruitment in Argentinean Chaco: Effects of fragment size and landscape forest cover. Forest Ecology and Management, 307: 147–154. doi: http://dx.doi.org/10.1016/j.foreco.2013.07.016.
   Google Scholar
• Townsend P.A., Lookingbill T. R., Kingdon C. C., Gardner R. H. (2009)—Spatial pattern analysis for monitoring protected areas. Remote Sensing of Environment, 113: 1410–1420.
   Web of Science ®Google Scholar
• Wade T. G., Riitters K. H., Wickham J.D., Jones K. B. (2003)—Distribution and Causes of Global Forest Fragmentation. Ecology and Society, 7.
   Google Scholar
• Wulder M. A., White J. C., Han T., Coops N. C., Cardille J., Holland T., Grills D. (2008)—Monitoring Canada's forests. Part 2: National forest fragmentation and pattern. Canadian Journal of Remote Sensing, 32: 268–279. doi: http://dx.doi.org/10.5589/m08-081.
   Google Scholar
• Zak M. R., Cabido M. R. (2002)—Spatial patterns of the Chaco vegetation of central Argentina: Integration of remote sensing and phytosociology. Applied Vegetation Science, 5: 213–226. doi: http://dx.doi.org/10.1111/j.1654-109X.2002.tb00551.x.
   Web of Science ®Google Scholar
• Zak M. R., Cabido M. R., Cáceres D., Diaz S. (2008)—What drives accelerated land cover change in central Argentina? Synergistic consequences of climatic, socioeconomic, and technological factors. Environmental Management 42: 181–189. doi: http://dx.doi.org/10.1007/s00267-008-9101-y.
   PubMed Web of Science ®Google Scholar