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

European Journal of Remote Sensing

Volumn 47, Issue 1, 2014, Pages 793-804

  Carranza, Maria Laura ^a   Frate, Ludovico ^a   Acosta, Alicia T R ^b   Hoyos, Laura ^c   Ricotta, Carlo ^d   Cabido, Marcelo ^c  

^a UNIVERSITY OF MOLISE   (Italy)

^b ROMA TRE UNIVERSITY   (Italy)

^c UNIVERSIDAD NACIONAL DE CÓRDOBA   (Argentina)

^d SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

Chaco dry forests; Forest loss; Landsat; Landscape metrics; Sample based analysis; Trajectory analysis

Indexed keywords

REMOTE SENSING; SAMPLING;

DRY FORESTS; FOREST LOSS; LANDSAT; LANDSCAPE METRICS; TRAJECTORY ANALYSIS;

FORESTRY;

DRY FOREST; HABITAT FRAGMENTATION; LANDSAT; LANDSCAPE CHANGE; LANDSCAPE PLANNING; REMOTE SENSING; SATELLITE IMAGERY; TRAJECTORY;

FORESTS; FRAGMENTATION; STATISTICAL ANALYSIS;

ARGENTINA;

EID: 84922010730     PISSN: None     EISSN: 22797254     Source Type: Journal    
DOI: 10.5721/EuJRS20144745     Document Type: Article

References (48)

1. Achard F., Hansen M. C. (2012) Global Forest Monitoring from Earth Observation. CRC Press, Boca Raton, Florida, USA, pp. 354.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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).
12. 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.
13. 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.
14. Forman R. T. T., Godron M. (1986) Landscape ecology. John Wiley and Sons, New York, NY, USA, pp. 640.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. Grau R., Aide M. (2008) Globalization and land-use transitions in Latin America. Ecology and Society, 13.
23. 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.
24. 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.
25. 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. 1654-109X. 2012. 01218. x.
26. 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.
27. 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.
28. Manly B. F. J. (2006) Randomization, bootstrap and Monte Carlo methods in biology, 3rd edn. Chapman and Hall, Boca Raton, Florida, USA. pp. 461.
29. 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.
30. 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.
31. 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.
32. 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.
33. 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.
34. 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.
35. 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.
36. 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.
37. 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.
38. Saura S., Martínez-Millán J. (2001) Sensitivity of landscape pattern metrics to map spatial extent. Photogrammetric Engineering & Remote Sensing, 67: 1027-1036.
39. Sayago M. (1969) Estudio fitogeográfico del norte de Córdoba. Boletín Academia Nacional de Ciencias Córdoba 46: 123-427.
40. 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.
41. 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.
42. 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.
43. 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.
44. 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.
45. Wade T. G., Riitters K. H., Wickham J. D., Jones K. B. (2003) Distribution and Causes of Global Forest Fragmentation. Ecology and Society, 7.
46. 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.
47. 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.
48. 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.