Relación Entre el Índice de Área Foliar y el Índice Normalizado de Vegetación en el Bosque Húmedo Tropical de Panamá en Gamboa
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ISSN: 1680-8894
E-ISSN: 2219-6714
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Enviado:
Jun 28, 2016
Resumen
El índice de área foliar (LAI) es una variable útil para describir la productividad y dinámica de los ecosistemas forestales además de un indicador de la salud y desarrollo del dosel. Se han realizado pocos estudios de esta variable en regiones de bosque húmedo tropical (Bh- T). En este proyecto se desarrolló un modelo empírico para estimar el LAI en el Bh-T, a través de imágenes satelitales y se realizó su validación mediante el desarrollo de campañas de medición con metodología óptica indirecta utilizando el Ceptómetro AccuPAR LP-80. Se utilizaron imágenes de alta resolución del satélite WordView-2 y Quickbird. Este estudio fue de tipo correlacional, relacionando las variables LAI y el Índice normalizado de vegetación (NDVI, por sus siglas en inglés). En estudios previos, se ha demostrado la correlación que existe entre ambos. Los programas Erdas Imagine y Atcor fueron empleados para el análisis de imágenes satelitales y la obtención del NDVI. Las mediciones de campo se desarrollaron en el “Camino del Oleoducto”, en el Área de Avifauna (Gamboa), en donde se ubicaron los puntos de control. Mediciones adicionales fueron tomadas en las parcelas del Instituto Smithsonian de Investigaciones Tropicales (STRI) ubicadas en la Isla de Barro Colorado y en el Parque Nacional Soberanía. El empleo de diferentes sitios permitió estudiar el comportamiento espacial del LAI. Las correlaciones resultantes entre las variables LAI-NDVI para los diferentes conjuntos de datos, presentaron correlaciones positivas de moderadas a bajas. Se utilizó el error cuadrado medio para hacer las comparaciones entre modelos.
Palabras clave
Ceptómetro, índice de área foliar, Gamboa, NDVI, WorldView-2Descargas
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Cómo citar
Mora, D., Jiménez, J., & Fábrega, J. (1). Relación Entre el Índice de Área Foliar y el Índice Normalizado de Vegetación en el Bosque Húmedo Tropical de Panamá en Gamboa. I+D Tecnológico, 10(1), 28-40. Recuperado a partir de https://revistas.utp.ac.pa/index.php/id-tecnologico/article/view/11
Citas
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the Terrestrial Essential Climate Variables, 2009, vol. 10.
(2) E. Chuvieco, Teledetección Ambiental: La observación de la tierra desde el espacio. España: Editorial Planeta, S.A., 2010.
(3) G. Zheng and L. M. Moskal, “Retrieving leaf area index (LAI) using remote sensing: theories, methods and sensors,” Sensors,
vol. 9, no. 4, pp. 2719–2745, Apr. 2009.
(4) D. J. Watson, “Comparative physiological studies on the growth of !eld crops: I. Variation in net assimilation rate and leaf area
between species and varieties, and within and between years,” Ann. Bot., vol. 11, pp. 41–76, 1947.
(5) D. Alcaraz-Segura, J. Cabello, C. Bagnato, A. Altesor, C. Oyonarte, M. Oyarzabal, and J. M. Paruelo, “La medida de la respuesta
Ecosistémica,” Segur. y Medio Ambient., vol. 122, pp. 60–73, 2011.
(6) D. Metcalfe, O. Phillips, T. Baker, R. Brienen, K.-J. Chao, J. Silva, and valued contributions from the entire R. Consortium,
“Measuring tropical forest carbon allocation and cycling: RAINFOR !eld manual,” 2009.
(7) L. H. Emmons, P. Chatelet, L. Cournac, N. C. A. Pitman, V. V. V, L. Fernando, and M. A. Dubois, “Seasonal change in leaf area
index at three sites along a south American latitudinal gradient,” ECOTROPICA, vol. 12, no. 87, pp. 87–102, 2006.
(8) J. M. Chen, P. M. Rich, S. T. Gower, J. M. Norman, and S. Plummer, “Leaf area index of boreal forests : theory , techniques ,
and measurements,” J. Geophys. Res., vol. 102, pp. 29,449–29,443, 1997.
(9) J.-Y. Pontailler, G. J. Hymus, and B. G. Drake, “Estimation of leaf area index using ground-based remote sensed NDVI
measurements: validation and comparison with two indirect techniques,” Can. J. Remote Sens., vol. 29, no. 3, pp. 381–387, Jun.
2003.
(10) M. Weiss, F. Baret, G. J. Smith, I. Jonckheere, and P. Coopin, “Review of methods for in situ leaf area index (LAI) determination
Part II. Estimation of LAI, errors and sampling,” Agric. For. Meteorol., vol. 121, no. 1–2, pp. 37–53, Jan. 2004.
(11) N. J. J. Bréda, “Ground-based measurements of leaf area index: a review of methods, instruments and current controversies,” J.
Exp. Bot., vol. 54, no. 392, pp. 2403–17, Nov. 2003.
(12) I. Decagon Devices, Operator´s Manual AccuPAR Model LP-80 PAR/LAI Ceptometer. 2010, p. 89.
(13) P. J. Zarco-tejada, J. R. Miller, T. L. Noland, G. H. Mohammed, and P. H. Sampson, “Scaling-Up and model inversion methods with
narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data,” IEEE Trans.
Geosci. Remote Sens., vol. 39, no. 7, pp. 1491–1507, 2001.
(14) F. Yuan and S. Sen Roy, “Analysis of the relationship between NDVI and climate variables in Minnesota using geographically
weighted regression and spatial interpolation,” in ASPRS 2007 Annual conference, 2007.
(15) M. Kalácska, G. A. Sánchez-Azofeita, B. Rivard, J. C. CalvoAlvarado, A. R. P. Journet, J. P. Arroyo-Mora, and D. Ortiz-Ortiz,
“Leaf area index measurements in a tropical moist forest: A case study from Costa Rica,” Remote Sens. Environ., vol. 91, no. 2, pp.
134–152, May 2004.
(16) J. W. Rouse, R. H. Hass, J. A. Shell, and D. W. Deering, “Monitoring vegetation systems in the Great Plains with ERTS-1,” in Third
Earth Resources Technologhy Satellite Symposium, 1974, pp. 309–317.
(17) L. C. Bart and M. S. Martinez, “Comparación de índices de vegetación a partir de imágenes MODIS en la región del
Libertador Bernardo O´Higgins, Chile, en el período 2001-2005,” Tecnol. la Inf. Geográ!ca la Inf. Geográ!ca al Serv. los Ciudad.,
pp. 728–737, 2010.
(18) J. M. Kovacs, J. M. L. King, F. F. de Santiago, and F. FloresVerdugo, “Evaluating the condition of a mangrove forest of the
Mexican Paci!c based on an estimated leaf area index mapping approach,” Environ. Monit. Assess., vol. 157, no. 1–4, pp. 137–49,
Oct. 2009.
(19) L. Lu, X. Li, C. L. Huang, M. G. Ma, T. Che, J. Bogaert, F. Veroustraete, Q. H. Dong, and R. Ceulemans, “Investigating
the relationship between ground-measured LAI and vegetation indices in an alpine meadow, north-west China,” Int. J. Remote
Sens., vol. 26, no. 20, pp. 4471–4484, Oct. 2005.
(20) L. E. O. C. Aragão, Y. E. Shimabukuro, F. D. B. Espírito-santo, and M. Williams, “Spatial Validation of the Collection 4 MODIS
LAI Product in Eastern Amazonia,” IEEE Trans. Geosci. Remote Sens., vol. 43, no. 11, pp. 2526–2534, 2005.
(21) G. E. Ureña Matos, “Estimación del Índice de Área Folicular (Leaf Area Index) en el bosque Tropical Húmedo en Gamboa a
través de teledetección y métodos experimentales,” Universidad Tecnológica de Panamá, 2011.
(22) Ibrahim, “Environment and development in coastal region and in small island. Assessing mangrove leaf area index and canopy
closure,” 2001.
(23) L. L. Pierce, J. Walker, T. I. Dowling, T. R. McVicar, T. J. Hatton, S. W. Running, and J. C. Coughlan, “Ecohydrological changes in the
Murray-Darling Basin III. A simulation of regional hydrological changes,” J. Appl. Ecol., vol. 30, no. 2, pp. 283–294, 1993.
(24) L. R. Holdridge, Ecología basada en zonas de vida. Instituto Interamericano de Cooperación para la Agricultura, 1987.
(25) S. P. Hubbell, R. Condit, and R. B. Foster, “Barro Colorado Forest Census Plot Data.,” 2005. [Online]. Available: https://ctfs.arnarb.
harvard.edu/webatlas/datasets/bci.
(26) S. P. Hubbell, R. B. Foster, S. T. O’Brien, K. E. Harms, R. Condit, B. Wechsler, S. J. Wright, and S. L. de Lao, “Light-Gap disturbances, Recruitment Limitation, and Tree Diversity in a Neotropical Forest,” Science1, vol. 283, pp. 554–557, 1999.
(27) R. Condit, Tropical Forest Census Plots: Methods and Results from Barro Colorado Island, Panama and a Comparison with
other Plots. Springer-Verlag and R. G. Landes Company, Berlin, Germany, and Georgetown, Texas., 1998.
(28) E. G. Leigh, Tropical forest ecology: A view from Barro Colorado Island. Oxford University Press, 1999.
(29) A. De Sedas M., L. Martinez, M. N. S. de Stapf, and M. D. C. A., Un recorrido por el sendero El Charco, Parque Nacional
Soberanía, Panamá. Costa Rica: Editorial INBio, 2010, p. 79.
(30) S. D. Matteucci and A. Colma, “Metodología para el estudio de la vegetación. Secretaría General de la Organización de los
Estados Americanos. Programa regional de desarrollo Cientí!co y Tecnológico.” Washington, D.C., p. 166, 1982.
(31) J. T. Morisette, F. Baret, J. L. Privette, R. B. Myneni, J. E. Nickeson, S. Garrigues, N. V. Shabanov, M. Weiss, R. a. Fernandes, S. G.
Leblanc, M. Kalacska, G. a. Sanchez-Azofeifa, M. Chubey, B. Rivard, P. Stenberg, M. Rautiainen, P. Voipio, T. Manninen, a.
N. Pilant, T. E. Lewis, J. S. Iiames, R. Colombo, M. Meroni, L. Busetto, W. B. Cohen, D. P. Turner, E. D. Warner, G. W. Petersen, G.
Seufert, and R. Cook, “Validation of global moderate-resolution LAI products: a framework proposed within the CEOS land
product validation subgroup,” IEEE Trans. Geosci. Remote Sens., vol. 44, no. 7, pp. 1804–1817, Jul. 2006.
(32) D. Globe, “WorldView-2,” 2009. [Online]. Available: http://worldview2.digitalglobe.com/about/. [Accessed: 25-May-2012].
(33) Z. A. Latif, I. Zamri, and H. Omar, “Determination of Tree Species using Worldview-2 data,” 2012 IEEE 8th Int. Colloq. Signal
Process. its Appl., pp. 383–387, Mar. 2012.
(34) W. B. Cohen and S. N. Goward, “Landsat’s Role in Ecological Applications of Remote Sensing,” Bioscience, vol. 54, no. 6, pp.
535–545, 2004.
(35) R. Richter, “Atmospheric / Topographic Correction for Satellite Imagery ( ATCOR-2 / 3 User Guide , Version 8 . 0 . 1 , June 2011
),” no. June, 2011.
(36) S. Garrigues, N. V. Shabanov, K. Swanson, J. T. Morisette, F. Baret, and R. B. Myneni, “Intercomparison and sensitivity analysis
of Leaf Area Index retrievals from LAI-2000, AccuPAR, and digital hemispherical photography over croplands,” Agric. For.
Meteorol., vol. 148, no. 8–9, pp. 1193–1209, Jul. 2008.
the Terrestrial Essential Climate Variables, 2009, vol. 10.
(2) E. Chuvieco, Teledetección Ambiental: La observación de la tierra desde el espacio. España: Editorial Planeta, S.A., 2010.
(3) G. Zheng and L. M. Moskal, “Retrieving leaf area index (LAI) using remote sensing: theories, methods and sensors,” Sensors,
vol. 9, no. 4, pp. 2719–2745, Apr. 2009.
(4) D. J. Watson, “Comparative physiological studies on the growth of !eld crops: I. Variation in net assimilation rate and leaf area
between species and varieties, and within and between years,” Ann. Bot., vol. 11, pp. 41–76, 1947.
(5) D. Alcaraz-Segura, J. Cabello, C. Bagnato, A. Altesor, C. Oyonarte, M. Oyarzabal, and J. M. Paruelo, “La medida de la respuesta
Ecosistémica,” Segur. y Medio Ambient., vol. 122, pp. 60–73, 2011.
(6) D. Metcalfe, O. Phillips, T. Baker, R. Brienen, K.-J. Chao, J. Silva, and valued contributions from the entire R. Consortium,
“Measuring tropical forest carbon allocation and cycling: RAINFOR !eld manual,” 2009.
(7) L. H. Emmons, P. Chatelet, L. Cournac, N. C. A. Pitman, V. V. V, L. Fernando, and M. A. Dubois, “Seasonal change in leaf area
index at three sites along a south American latitudinal gradient,” ECOTROPICA, vol. 12, no. 87, pp. 87–102, 2006.
(8) J. M. Chen, P. M. Rich, S. T. Gower, J. M. Norman, and S. Plummer, “Leaf area index of boreal forests : theory , techniques ,
and measurements,” J. Geophys. Res., vol. 102, pp. 29,449–29,443, 1997.
(9) J.-Y. Pontailler, G. J. Hymus, and B. G. Drake, “Estimation of leaf area index using ground-based remote sensed NDVI
measurements: validation and comparison with two indirect techniques,” Can. J. Remote Sens., vol. 29, no. 3, pp. 381–387, Jun.
2003.
(10) M. Weiss, F. Baret, G. J. Smith, I. Jonckheere, and P. Coopin, “Review of methods for in situ leaf area index (LAI) determination
Part II. Estimation of LAI, errors and sampling,” Agric. For. Meteorol., vol. 121, no. 1–2, pp. 37–53, Jan. 2004.
(11) N. J. J. Bréda, “Ground-based measurements of leaf area index: a review of methods, instruments and current controversies,” J.
Exp. Bot., vol. 54, no. 392, pp. 2403–17, Nov. 2003.
(12) I. Decagon Devices, Operator´s Manual AccuPAR Model LP-80 PAR/LAI Ceptometer. 2010, p. 89.
(13) P. J. Zarco-tejada, J. R. Miller, T. L. Noland, G. H. Mohammed, and P. H. Sampson, “Scaling-Up and model inversion methods with
narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data,” IEEE Trans.
Geosci. Remote Sens., vol. 39, no. 7, pp. 1491–1507, 2001.
(14) F. Yuan and S. Sen Roy, “Analysis of the relationship between NDVI and climate variables in Minnesota using geographically
weighted regression and spatial interpolation,” in ASPRS 2007 Annual conference, 2007.
(15) M. Kalácska, G. A. Sánchez-Azofeita, B. Rivard, J. C. CalvoAlvarado, A. R. P. Journet, J. P. Arroyo-Mora, and D. Ortiz-Ortiz,
“Leaf area index measurements in a tropical moist forest: A case study from Costa Rica,” Remote Sens. Environ., vol. 91, no. 2, pp.
134–152, May 2004.
(16) J. W. Rouse, R. H. Hass, J. A. Shell, and D. W. Deering, “Monitoring vegetation systems in the Great Plains with ERTS-1,” in Third
Earth Resources Technologhy Satellite Symposium, 1974, pp. 309–317.
(17) L. C. Bart and M. S. Martinez, “Comparación de índices de vegetación a partir de imágenes MODIS en la región del
Libertador Bernardo O´Higgins, Chile, en el período 2001-2005,” Tecnol. la Inf. Geográ!ca la Inf. Geográ!ca al Serv. los Ciudad.,
pp. 728–737, 2010.
(18) J. M. Kovacs, J. M. L. King, F. F. de Santiago, and F. FloresVerdugo, “Evaluating the condition of a mangrove forest of the
Mexican Paci!c based on an estimated leaf area index mapping approach,” Environ. Monit. Assess., vol. 157, no. 1–4, pp. 137–49,
Oct. 2009.
(19) L. Lu, X. Li, C. L. Huang, M. G. Ma, T. Che, J. Bogaert, F. Veroustraete, Q. H. Dong, and R. Ceulemans, “Investigating
the relationship between ground-measured LAI and vegetation indices in an alpine meadow, north-west China,” Int. J. Remote
Sens., vol. 26, no. 20, pp. 4471–4484, Oct. 2005.
(20) L. E. O. C. Aragão, Y. E. Shimabukuro, F. D. B. Espírito-santo, and M. Williams, “Spatial Validation of the Collection 4 MODIS
LAI Product in Eastern Amazonia,” IEEE Trans. Geosci. Remote Sens., vol. 43, no. 11, pp. 2526–2534, 2005.
(21) G. E. Ureña Matos, “Estimación del Índice de Área Folicular (Leaf Area Index) en el bosque Tropical Húmedo en Gamboa a
través de teledetección y métodos experimentales,” Universidad Tecnológica de Panamá, 2011.
(22) Ibrahim, “Environment and development in coastal region and in small island. Assessing mangrove leaf area index and canopy
closure,” 2001.
(23) L. L. Pierce, J. Walker, T. I. Dowling, T. R. McVicar, T. J. Hatton, S. W. Running, and J. C. Coughlan, “Ecohydrological changes in the
Murray-Darling Basin III. A simulation of regional hydrological changes,” J. Appl. Ecol., vol. 30, no. 2, pp. 283–294, 1993.
(24) L. R. Holdridge, Ecología basada en zonas de vida. Instituto Interamericano de Cooperación para la Agricultura, 1987.
(25) S. P. Hubbell, R. Condit, and R. B. Foster, “Barro Colorado Forest Census Plot Data.,” 2005. [Online]. Available: https://ctfs.arnarb.
harvard.edu/webatlas/datasets/bci.
(26) S. P. Hubbell, R. B. Foster, S. T. O’Brien, K. E. Harms, R. Condit, B. Wechsler, S. J. Wright, and S. L. de Lao, “Light-Gap disturbances, Recruitment Limitation, and Tree Diversity in a Neotropical Forest,” Science1, vol. 283, pp. 554–557, 1999.
(27) R. Condit, Tropical Forest Census Plots: Methods and Results from Barro Colorado Island, Panama and a Comparison with
other Plots. Springer-Verlag and R. G. Landes Company, Berlin, Germany, and Georgetown, Texas., 1998.
(28) E. G. Leigh, Tropical forest ecology: A view from Barro Colorado Island. Oxford University Press, 1999.
(29) A. De Sedas M., L. Martinez, M. N. S. de Stapf, and M. D. C. A., Un recorrido por el sendero El Charco, Parque Nacional
Soberanía, Panamá. Costa Rica: Editorial INBio, 2010, p. 79.
(30) S. D. Matteucci and A. Colma, “Metodología para el estudio de la vegetación. Secretaría General de la Organización de los
Estados Americanos. Programa regional de desarrollo Cientí!co y Tecnológico.” Washington, D.C., p. 166, 1982.
(31) J. T. Morisette, F. Baret, J. L. Privette, R. B. Myneni, J. E. Nickeson, S. Garrigues, N. V. Shabanov, M. Weiss, R. a. Fernandes, S. G.
Leblanc, M. Kalacska, G. a. Sanchez-Azofeifa, M. Chubey, B. Rivard, P. Stenberg, M. Rautiainen, P. Voipio, T. Manninen, a.
N. Pilant, T. E. Lewis, J. S. Iiames, R. Colombo, M. Meroni, L. Busetto, W. B. Cohen, D. P. Turner, E. D. Warner, G. W. Petersen, G.
Seufert, and R. Cook, “Validation of global moderate-resolution LAI products: a framework proposed within the CEOS land
product validation subgroup,” IEEE Trans. Geosci. Remote Sens., vol. 44, no. 7, pp. 1804–1817, Jul. 2006.
(32) D. Globe, “WorldView-2,” 2009. [Online]. Available: http://worldview2.digitalglobe.com/about/. [Accessed: 25-May-2012].
(33) Z. A. Latif, I. Zamri, and H. Omar, “Determination of Tree Species using Worldview-2 data,” 2012 IEEE 8th Int. Colloq. Signal
Process. its Appl., pp. 383–387, Mar. 2012.
(34) W. B. Cohen and S. N. Goward, “Landsat’s Role in Ecological Applications of Remote Sensing,” Bioscience, vol. 54, no. 6, pp.
535–545, 2004.
(35) R. Richter, “Atmospheric / Topographic Correction for Satellite Imagery ( ATCOR-2 / 3 User Guide , Version 8 . 0 . 1 , June 2011
),” no. June, 2011.
(36) S. Garrigues, N. V. Shabanov, K. Swanson, J. T. Morisette, F. Baret, and R. B. Myneni, “Intercomparison and sensitivity analysis
of Leaf Area Index retrievals from LAI-2000, AccuPAR, and digital hemispherical photography over croplands,” Agric. For.
Meteorol., vol. 148, no. 8–9, pp. 1193–1209, Jul. 2008.