Comparison of the Absolute and Relative Difference Spectral Indices to Estimate Burn Severity: The Case of Endangered Nothofagus alessandrii (ruil)

References

1. 1. Arellano, S.,
   2. J. Vega,
   3. F. Rodríguez y Silva,
   4. C. Fernández,
   5. D. Vega-Nieva,
   6. J. Álvarez-González and
   7. A. Ruiz-González

   . 2017. Validación de los índices de teledetección dNBR y RdNBR para determinar la severidad del fuego en el incendio forestal de Oia-O Rosal (Pontevedra) en 2013. Revista de Teledetección 49:49–61.

   OpenUrl
2. 1. Ascoli, D.,
   2. D. Castagneri,
   3. C. Valsecchi,
   4. M. Conedera and
   5. G. Bovio

   . 2013. Post-fire restoration of beech stands in the Southern Alps by natural regeneration. Ecological Engineering 54:210–217.

   OpenUrl
3. 1. Assal, T.J.,
   2. M.E. González and
   3. J.S. Sibold

   . 2018. Burn severity controls on postfire Araucaria-Nothofagus regeneration in the Andean Cordillera. Journal of Biogeography 45:2483–2494.

   OpenUrl
4. 1. Ávila, G.,
   2. G. Montenegro and
   3. M.E. Aljaro

   . 1988. Incendios en la vegetación mediterránea. Pages 81–88 in E. Fuentes and S. Prenafeta (eds), Ecología del Paisaje en Chile Central. Estudios sobre sus Espacios Montañosos. Santiago, Chile: Universidad Católica de Chile.
5. 1. Boyd, C.S. and
   2. K.W. Davies

   . 2010. Shrub microsite influences postfire perennial grass establishment. Rangeland Ecology and Management 63:248–252.

   OpenUrl
6. 1. Brewer, C.K.,
   2. J.C. Winne,
   3. R.L. Redmond,
   4. D.W. Opitz and
   5. M.V. Mangrich

   . 2005. Classifying and mapping wildfire severity. Photogrammetric Engineering and Remote Sensing 71:1311–1320.

   OpenUrl
7. 1. Burns, B.R.

   1993. Fire-induced dynamics of Araucaria araucana-Nothofagus antarctica forest in the southern Andes. Journal of Biogeography 6:669–685.

   OpenUrl
8. 1. Cansler, C.A. and
   2. D. McKenzie

   . 2012. How robust are burn severity indices when applied in a new region? Evaluation of alternate field-based and remote-sensing methods. Remote Sensing 4:456–483.

   OpenUrl
9. 1. Chambers, J.C.

   2000. Seed movements and seedling fates in disturbed sagebrush steppe ecosystems: implications for restoration. Ecological Applications 10:1400–1413.

   OpenUrlWeb of Science
10. 1. Congalton, R.G.

    1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37:35–46.

    OpenUrlCrossRef
11. 1. Congalton, R.G. and
    2. K. Green

    . 2019. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. Third edition. Boca Raton, FL: CRC Press.
12. 1. Cordell, S.,
    2. E.J. Questad,
    3. G.P. Asner,
    4. K.M. Kinney,
    5. J.M. Thaxton,
    6. A. Uowolo,
    7. S. Brooks and
    8. M.W. Chynoweth

    . 2017. Remote sensing for restoration planning: How the big picture can inform stakeholders. Restoration Ecology 25:S147–S154.

    OpenUrl
13. 1. Cowling, R.M.,
    2. P.W. Rundel,
    3. B.B. Lamont,
    4. M.K. Arroyo and
    5. M. Arianoutsou

    . 1996. Plant diversity in Mediterranean-climate regions. Trends in Ecology & Evolution 11:362–366.

    OpenUrl
14. 1. De Santis, A. and
    2. E. Chuvieco

    . 2007. Burn severity estimation from remotely sensed data: Performance of simulation versus empirical models. Remote Sensing of Environment 108:422–435.

    OpenUrl
15. 1. De Santis, A. and
    2. E. Chuvieco

    . 2009. GeoCBI: A modified version of the Composite Burn Index for the initial assessment of the short-term burn severity from remotely sensed data. Remote Sensing of Environment 113:554–562.

    OpenUrl
16. 1. Drusch, M.,
    2. U. Del Bello,
    3. S. Carlier,
    4. O. Colin,
    5. V. Fernandez,
    6. F. Gascon,
    7. B. Hoersch,
    8. C. Isola,
    9. P. Laberinti and
    10. P. Martimort

    . 2012. Sentinel-2: ESA’s optical high-resolution mission for GMES operational services. Remote Sensing of Environment 120:25–36.

    OpenUrlCrossRef
17. 1. Echeverría, C. and
    2. S. Campos

    . 2019. Gomortega keule. The IUCN Red List of Threatened Species 2019: e.T31357A2805379.
18. 1. Gómez, P.,
    2. R. Bustamante,
    3. J. San Martín and
    4. S. Hahn

    . 2011. Estructura poblacional de Pinus radiata D. Don en fragmentos de Bosque Maulino en Chile central. Gayana Botánica 68:97–101.

    OpenUrl
19. 1. Gómez, P.,
    2. S. Espinoza,
    3. P. Garrido,
    4. A. San Martin and
    5. Y. Ormazábal

    . In Press. Post-fire regeneration from seed of the critically endangered Nothofagus alessandrii Espinosa in the Maule Region of central Chile. Southern Forests. https://doi.org/10.2989/20702620.2022.2039044
20. 1. Gómez, P. and
    2. P. Garrido

    . 2018. Regeneración masiva del árbol exótico Pinus radiata D. Don luego de un gran incendio en fragmentos de Nothofagus alessandrii (ruil) en la Región del Maule, Chile Central. Bionvasiones 1:8–16.

    OpenUrl
21. 1. Gómez, P.,
    2. P. Garrido,
    3. J. Gajardo,
    4. Y. Ormazábal and
    5. C. Mena

    . 2018. Severidad del daño por incendios en un bosque de alto valor de conservación dominado por Nothofagus alessandrii (ruil) en la cordillera de la Costa, Región del Maule, Chile central. Pages 215–222 in C. Mena (ed), Geomatica Aplicada. Talca, Chile: Universidad de Talca.
22. 1. González, M.,
    2. T. Veblen and
    3. J. Sibold

    . 2010. Influence of fire severity on stand development of Araucaria araucana–Nothofagus pumilio stands in the Andean cordillera of south-central Chile. Austral Ecology 35:597–615.

    OpenUrl
23. 1. Hudak, A.T.,
    2. P. Morgan,
    3. M.J. Bobbitt,
    4. A.M. Smith,
    5. S.A. Lewis,
    6. L.B. Lentile,
    7. P.R. Robichaud,
    8. J.T. Clark and
    9. R.A. McKinley

    . 2007. The relationship of multispectral satellite imagery to immediate fire effects. Fire Ecology 3:64–90.

    OpenUrl
24. 1. Kader, G.D. and
    2. M. Perry

    . 2007. Variability for categorical variables. Journal of Statistics Education 15:2–18.

    OpenUrl
25. 1. Keeley, J.E.,
    2. C. Fotheringham and
    3. M. Morais

    . 1999. Reexamining fire suppression impacts on brushland fire regimes. Science 284:1829–1832.

    OpenUrlAbstract/FREE Full Text
26. 1. Key, C.H.

    2006. Ecological and sampling constraints on defining landscape fire severity. Fire Ecology 2:34–59.

    OpenUrl
27. 1. Key, C.H. and
    2. N.C. Benson

    . 2006. Landscape assessment (LA). Sampling and Analysis Methods. Gen. Tech. Rep. RMRS-GTR-164-CD. Pages LA1–LA51 in D. Lutes (ed). FIREMON: Fire Effects Monitoring and Inventory System. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station.
28. 1. Kokaly, R.F.,
    2. B.W. Rockwell,
    3. S.L. Haire and
    4. T.V. King

    . 2007. Characterization of post-fire surface cover, soils, and burn severity at the Cerro Grande Fire, New Mexico, using hyperspectral and multispectral remote sensing. Remote Sensing of Environment 106:305–325.

    OpenUrl
29. 1. Landis, J.R. and
    2. G.G. Koch

    . 1977. The Measurement of Observer Agreement for Categorical Data. Biometrics 33:159–174.

    OpenUrlCrossRefPubMedWeb of Science
30. 1. Louis, J.,
    2. V. Debaecker,
    3. B. Pflug,
    4. M. Main-Knorn,
    5. J. Bieniarz,
    6. U. Mueller-Wilm,
    7. E. Cadau and
    8. F. Gascon

    . 2016. Sentinel-2Sen2Cor: L2A Processor for Users. Pages 1–8 in Proceedings Living Planet Symposium 2016. Prague, Czech Republic: Spacebooks Online.
31. 1. McQueen, D.

    1976. The ecology of Nothofagus and associated vegetation in South America (Part II). Tuatara 22:233–244.

    OpenUrl
32. 1. Miller, J.D.,
    2. E.E. Knapp,
    3. C.H. Key,
    4. C.N. Skinner,
    5. C.J. Isbell,
    6. R.M. Creasy and
    7. J.W. Sherlock

    . 2009. Calibration and validation of the relative differenced Normalized Burn Ratio (RdNBR) to three measures of fire severity in the Sierra Nevada and Klamath Mountains, California, USA. Remote Sensing of Environment 113:645–656.

    OpenUrl
33. 1. Miller, J.D. and
    2. A.E. Thode

    . 2007. Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR). Remote Sensing of Environment 109:66–80.

    OpenUrlCrossRef
34. 1. Mittermeier, R.A.,
    2. W.R. Turner,
    3. F.W. Larsen,
    4. T.M. Brooks, and
    5. C. Gascon

    . 2011. Global biodiversity conservation: the critical role of hotspots. Pages 3–22 in F. Zachos and J. Habel (eds), Biodiversity Hotspots. Berlin, Germany: Springer.
35. 1. Myers, N.,
    2. R.A. Mittermeier,
    3. C.G. Mittermeier,
    4. G.A. Da Fonseca and
    5. J. Kent

    . 2000. Biodiversity hotspots for conservation priorities. Nature 403:853.

    OpenUrlCrossRefPubMedWeb of Science
36. 1. Olivares, P.,
    2. J. San Martin and
    3. R. Santelices

    . 2005. Ruil (Nothofagus alessandrii): Estado del conocimiento y desafíos para su conservación. Región del Maule, Talca, Santiago, Chile: Departamento de Protección de Recursos Naturales, Comisión Nacional del Medio Ambiente.
37. 1. Otavo, S. and
    2. C. Echeverría

    . 2017. Fragmentación progresiva y pérdida de hábitat de bosques naturales en uno de los hotspot mundiales de biodiversidad. Revista Mexicana de Biodiversidad 88:924–935.

    OpenUrl
38. 1. Parks, S.A.,
    2. G.K. Dillon and
    3. C. Miller

    . 2014. A new metric for quantifying burn severity: The Relativized Burn Ratio. Remote Sensing 6:1827–1844.

    OpenUrl
39. 1. Rab, M.

    1996. Soil physical and hydrological properties following logging and slash burning in the Eucalyptus regnans forest of southeastern Australia. Forest Ecology and Management 84:159–176.

    OpenUrlCrossRefWeb of Science
40. 1. Riaño, D.,
    2. J.M. Ruiz,
    3. J.B. Martínez and
    4. S. Ustin

    . 2007. Burned area forecasting using past burned area records and Southern Oscillation Index for tropical Africa (1981–1999). Remote Sensing of Environment 107:571–581.

    OpenUrl
41. 1. Rivera, M.

    2021. Pitavia punctata. The IUCN Red List of Threatened Species 2021: e.T31356A2805268.
42. 1. San Martín, J. and
    2. C. Donoso

    . 1996. Estructura florística e impacto antrópico en el bosque maulino de Chile. Pages 153–168 in J. Armesto, C. Villagrán and K. Arroyo (eds), Ecología de los Bosques Nativos de Chile. Santiago, Chile: Universitaria.
43. 1. Santelices, R.,
    2. F. Drake,
    3. C. Mena,
    4. R. Ordenes and
    5. R.M. Navarro-Cerrillo

    . 2012. Current and potential distribution areas for Nothofagus alessandrii, an endangered tree species from central Chile. Ciencia e Investigación Agraria 39:521–531.

    OpenUrl
44. 1. Soverel, N.O.,
    2. D.B. Perrakis and
    3. N.C. Coops

    . 2010. Estimating burn severity from Landsat dNBR and RdNBR indices across western Canada. Remote Sensing of Environment 114:1896–1909.

    OpenUrl
45. 1. Stehman, S.V.

    2009. Sampling designs for accuracy assessment of land cover. International Journal of Remote Sensing 30:5243–5272.

    OpenUrl
46. 1. Tortorelli, L.A.

    1947. Los incendios de bosques en la Argentina. Buenos Aires, Argentina: Ministerio de Agricultura de la Nación, Dirección General de Tierras y Bosques, Dirección Forestal.
47. 1. Valencia, D.,
    2. J. Saavedra,
    3. J. Brull and
    4. R. Santelices

    . 2018. Severidad del daño causado por los incendios forestales en los bosques remanentes de Nothofagus alessandrii Espinosa en la Región del Maule de Chile. Gayana. Botánica 75:531–534.

    OpenUrl
48. 1. van Wagtendonk, J.W.,
    2. R.R. Root and
    3. C.H. Key

    . 2004. Comparison of AVIRIS and Landsat ETM+ detection capabilities for burn severity. Remote Sensing of Environment 92:397–408.

    OpenUrl
49. 1. Veblen, T.,
    2. D. Ashton,
    3. F. Schlegel and
    4. A.T. Veblen

    . 1977. Plant succession in a timberline depressed by vulcanism in south-central Chile. Journal of Biogeography 4:275–294.

    OpenUrl
50. 1. Veblen, T.T.

    1985. Stand dynamics in Chilean Nothofagus forests. Pages 35–51 in S. Pickett and P.S. White (eds), The Ecology of Natural Disturbance and Patch Dynamics. Orlando, FL: Academic Press.
51. 1. Veblen, T.T. and
    2. D.C. Lorenz

    . 1987. Post-fire stand development of Austrocedrus-Nothofagus forests in northern Patagonia. Vegetation 71:113–126.

    OpenUrl
52. 1. Veraverbeke, S.,
    2. S. Lhermitte,
    3. W.W. Verstraeten and
    4. R. Goossens.

    2010. The temporal dimension of differenced Normalized Burn Ratio (dNBR) fire/burn severity studies: The case of the large 2007 Peloponnese wildfires in Greece. Remote Sensing of Environment 114:2548–2563.

    OpenUrl
53. 1. Westerling, A.L.

    2016. Increasing western US forest wildfire activity: Sensitivity to changes in the timing of spring. Philosophical Transactions B 371:20150178.

    OpenUrlCrossRefPubMed
54. 1. Zhu, Z.K.,
    2. Carl H.,
    3. D. Ohlen and
    4. N. Benson

    . 2006. Evaluate sensitivities of burn-severity mapping algorithms for different ecosystems and fire histories in the United States—Final Report to the Joint Fire Science Program. JFSP Project No. 01-1-4-12, Sioux Falls, SD: USGS, National Center for Earth Resources Observation and Science.