Evolution of the landscape's vegetation health condition in a tropical coastal lagoon: a remote sensing study in the case of northern Colombia

Tropical coastal lagoons are valuable ecosystems that provide vital ecological services. Understanding vegetation health dynamics is essential to conserve and manage these environments effectively. Also, some landscape-related aspects suffer changes through time due to natural and human-driven facto...

Full description

Autores:
Jaramillo, Eva
Portnoy, Ivan
Torregroza-Espinosa, Ana C.
Larios-Giraldo, Paola
Tipo de recurso:
Article of investigation
Fecha de publicación:
2024
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/13504
Acceso en línea:
https://hdl.handle.net/11323/13504
https://repositorio.cuc.edu.co/
Palabra clave:
Ciénaga de Mallorquín
NDVI
Remote sensing
Vegetation biomass
Rights
openAccess
License
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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repository_id_str
dc.title.eng.fl_str_mv Evolution of the landscape's vegetation health condition in a tropical coastal lagoon: a remote sensing study in the case of northern Colombia
title Evolution of the landscape's vegetation health condition in a tropical coastal lagoon: a remote sensing study in the case of northern Colombia
spellingShingle Evolution of the landscape's vegetation health condition in a tropical coastal lagoon: a remote sensing study in the case of northern Colombia
Ciénaga de Mallorquín
NDVI
Remote sensing
Vegetation biomass
title_short Evolution of the landscape's vegetation health condition in a tropical coastal lagoon: a remote sensing study in the case of northern Colombia
title_full Evolution of the landscape's vegetation health condition in a tropical coastal lagoon: a remote sensing study in the case of northern Colombia
title_fullStr Evolution of the landscape's vegetation health condition in a tropical coastal lagoon: a remote sensing study in the case of northern Colombia
title_full_unstemmed Evolution of the landscape's vegetation health condition in a tropical coastal lagoon: a remote sensing study in the case of northern Colombia
title_sort Evolution of the landscape's vegetation health condition in a tropical coastal lagoon: a remote sensing study in the case of northern Colombia
dc.creator.fl_str_mv Jaramillo, Eva
Portnoy, Ivan
Torregroza-Espinosa, Ana C.
Larios-Giraldo, Paola
dc.contributor.author.none.fl_str_mv Jaramillo, Eva
Portnoy, Ivan
Torregroza-Espinosa, Ana C.
Larios-Giraldo, Paola
dc.subject.proposal.eng.fl_str_mv Ciénaga de Mallorquín
NDVI
Remote sensing
Vegetation biomass
topic Ciénaga de Mallorquín
NDVI
Remote sensing
Vegetation biomass
description Tropical coastal lagoons are valuable ecosystems that provide vital ecological services. Understanding vegetation health dynamics is essential to conserve and manage these environments effectively. Also, some landscape-related aspects suffer changes through time due to natural and human-driven factors. Analyzing a landscape's evolution allows getting to know the place's identity and underlying interactions with its population. This study employed satellite imagery from the Landsat 8 mission and advanced data analysis techniques to investigate vegetation health's temporal and spatial patterns in Ciénaga de Mallorquín, a coastal lagoon in Northern Colombia. The normalized difference vegetation index (NDVI) was calculated from the satellite data to quantify vegetation biomass and its health. The results show a significant decline in NDVI values between 2013 and 2018, followed by a recovery phase between 2018 and 2022. However, the NDVI levels in 2022 remain significantly lower than those in 2013, indicating the need for continued conservation efforts. This study demonstrates the power of remote sensing as a tool for monitoring vegetation dynamics and informing sustainable management practices in tropical coastal ecosystems.
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2024-10-23T16:36:23Z
dc.date.available.none.fl_str_mv 2024-10-23T16:36:23Z
dc.date.issued.none.fl_str_mv 2024
dc.type.none.fl_str_mv Artículo de revista
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dc.identifier.citation.none.fl_str_mv Eva Jaramillo, Ivan Portnoy, Ana C Torregroza-Espinosa, Paola Larios-Giraldo, Evolution of the Landscape's Vegetation Health Condition in a Tropical Coastal Lagoon: A Remote Sensing Study in the Case of Northern Colombia, Procedia Computer Science, Volume 231, 2024, Pages 526-531, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2023.12.245.
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/11323/13504
dc.identifier.doi.none.fl_str_mv 10.1016/j.procs.2023.12.245
dc.identifier.eissn.none.fl_str_mv 1877-0509
dc.identifier.instname.none.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.none.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.none.fl_str_mv https://repositorio.cuc.edu.co/
identifier_str_mv Eva Jaramillo, Ivan Portnoy, Ana C Torregroza-Espinosa, Paola Larios-Giraldo, Evolution of the Landscape's Vegetation Health Condition in a Tropical Coastal Lagoon: A Remote Sensing Study in the Case of Northern Colombia, Procedia Computer Science, Volume 231, 2024, Pages 526-531, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2023.12.245.
10.1016/j.procs.2023.12.245
1877-0509
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/13504
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartofjournal.none.fl_str_mv Procedia computer science
dc.relation.references.none.fl_str_mv [1] J. Y. Kim et al., “Trends in a satellite-derived vegetation index and environmental variables in a restored brackish lagoon,” Glob. Ecol. Conserv., vol. 4, pp. 614–624, 2015
[2] P. M. Larios-Giraldo and I. Z. Cabrera-Sánchez, “El patrimonio cultural inmueble como derecho colectivo. Consideraciones sobre su proteccion y conservacion en Colombia,” URBE. Arquit. Ciudad Y Territ., no. 12, pp. 20– 34, 2021
[3] F. Torres-Bejarano, A. C. Torregroza-Espinosa, E. Mart\’\inez-Mera, and L. C. González-Márquez, “Impact of land cover changes on water quality: an application to the Guájaro reservoir, Colombia,” Int. J. Environ. Sci. Technol., pp. 1–14, 2022.
[4] F. M. Torres-Bejarano, A. C. Torregroza-Espinosa, E. Martinez-Mera, D. Castañeda-Valbuena, and M. P. TejeraGonzalez, “Hydrodynamics and water quality assessment of a coastal lagoon using environmental fluid dynamics code explorer modeling system,” Glob. J. Environ. Sci. Manag., vol. 6, no. 3, pp. 289–308, 2020.
[5] O. Galvis, O. Herrera, L. Rodríguez, S. Téllez, and A. Lora, “Contribución al conocimiento de las características medioambientales de la ciénaga de Mallorquín,” VIII Semin. Nac. Ciencias y. Tecnol. Mar. CCO, vol. 1, pp. 483–489, 1992.
[6] L. A. Vera and J. de la Rosa Muñoz, “Estructura de la comunidad íctica de la Ciénaga de Mallorquín, Caribe colombiano,” Boletín Investig. Mar. y Costeras-INVEMAR, vol. 32, no. 1, pp. 231–242, 2003.
[7] J. C. B. Durán, A. M. O. Gómez, R. J. R. Vega, S. G. Ibáñez, and R. C. Toscano, “Contaminación en la Ciénaga de Mallorquín: una perspectiva sociojurídica,” Edu, 2018.
[8] Y. Ke, J. Im, J. Lee, H. Gong, and Y. Ryu, “Characteristics of Landsat 8 OLI-derived NDVI by comparison with multiple satellite sensors and in-situ observations,” Remote Sens. Environ., vol. 164, pp. 298–313, 2015.
[9] N. Gorelick, M. Hancher, M. Dixon, S. Ilyushchenko, D. Thau, and R. Moore, “Google Earth Engine: Planetaryscale geospatial analysis for everyone,” Remote Sens. Environ., vol. 202, pp. 18–27, 2017.
[10] M. A. Sidi Almouctar, Y. Wu, A. Kumar, F. Zhao, K. J. Mambu, and M. Sadek, “Spatiotemporal analysis of vegetation cover changes around surface water based on NDVI: a case study in Korama basin, Southern Zinder, Niger,” Appl. Water Sci., vol. 11, pp. 1–14, 2021.
[11] M. O. Aljahdali, S. Munawar, and W. R. Khan, “Monitoring mangrove forest degradation and regeneration: Landsat time series analysis of moisture and vegetation indices at Rabigh Lagoon, Red Sea,” Forests, vol. 12, no. 1, p. 52, 2021.
[12] J. Lastovicka et al., “Sentinel-2 Data in an Evaluation of the Impact of the Disturbances on Forest Vegetation,” Remote Sens., vol. 12, no. 12, p. 1914, 2020.
[13] R. J. Hijmans et al., “Package ‘raster,’” R Packag., vol. 734, p. 473, 2015
[14] R. Nolan and S. Padilla-Parra, “ijtiff: An R package providing TIFF I/O for ImageJ users,” J. Open Source Softw., vol. 3, no. 23, 2018.
[15] I. Bakurov, M. Buzzelli, R. Schettini, M. Castelli, and L. Vanneschi, “Structural similarity index (SSIM) revisited: A data-driven approach,” Expert Syst. Appl., vol. 189, p. 116087, 2022.
[16] F. Osorio, R. Vallejos, and F. Cuevas, “SpatialPack: Computing the association between two spatial processes,” arXiv Prepr. arXiv1611.05289, 2016.
[17] T. Hesterberg, “Bootstrap,” Wiley Interdiscip. Rev. Comput. Stat., vol. 3, no. 6, pp. 497–526, 2011.
[18] A. Díaz Arteaga et al., Naturaleza urbana. Plataforma de experiencias. 2016.
[19] C. Páez Correa, “Análisis de las dimensiones del desarrollo sostenible en la ciénaga de mallorquín,” 2015.
dc.relation.citationendpage.none.fl_str_mv 531
dc.relation.citationstartpage.none.fl_str_mv 526
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dc.rights.eng.fl_str_mv © 2024 The Authors. Published by Elsevier B.V.
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spelling Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)© 2024 The Authors. Published by Elsevier B.V.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Jaramillo, EvaPortnoy, IvanTorregroza-Espinosa, Ana C.Larios-Giraldo, Paola2024-10-23T16:36:23Z2024-10-23T16:36:23Z2024Eva Jaramillo, Ivan Portnoy, Ana C Torregroza-Espinosa, Paola Larios-Giraldo, Evolution of the Landscape's Vegetation Health Condition in a Tropical Coastal Lagoon: A Remote Sensing Study in the Case of Northern Colombia, Procedia Computer Science, Volume 231, 2024, Pages 526-531, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2023.12.245.https://hdl.handle.net/11323/1350410.1016/j.procs.2023.12.2451877-0509Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Tropical coastal lagoons are valuable ecosystems that provide vital ecological services. Understanding vegetation health dynamics is essential to conserve and manage these environments effectively. Also, some landscape-related aspects suffer changes through time due to natural and human-driven factors. Analyzing a landscape's evolution allows getting to know the place's identity and underlying interactions with its population. This study employed satellite imagery from the Landsat 8 mission and advanced data analysis techniques to investigate vegetation health's temporal and spatial patterns in Ciénaga de Mallorquín, a coastal lagoon in Northern Colombia. The normalized difference vegetation index (NDVI) was calculated from the satellite data to quantify vegetation biomass and its health. The results show a significant decline in NDVI values between 2013 and 2018, followed by a recovery phase between 2018 and 2022. However, the NDVI levels in 2022 remain significantly lower than those in 2013, indicating the need for continued conservation efforts. This study demonstrates the power of remote sensing as a tool for monitoring vegetation dynamics and informing sustainable management practices in tropical coastal ecosystems.6 páginasapplication/pdfengElsevier B.V.Netherlandshttps://www.sciencedirect.com/science/article/pii/S1877050923022573?via%3DihubEvolution of the landscape's vegetation health condition in a tropical coastal lagoon: a remote sensing study in the case of northern ColombiaArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85ColombiaProcedia computer science[1] J. Y. Kim et al., “Trends in a satellite-derived vegetation index and environmental variables in a restored brackish lagoon,” Glob. Ecol. Conserv., vol. 4, pp. 614–624, 2015[2] P. M. Larios-Giraldo and I. Z. Cabrera-Sánchez, “El patrimonio cultural inmueble como derecho colectivo. Consideraciones sobre su proteccion y conservacion en Colombia,” URBE. Arquit. Ciudad Y Territ., no. 12, pp. 20– 34, 2021[3] F. Torres-Bejarano, A. C. Torregroza-Espinosa, E. Mart\’\inez-Mera, and L. C. González-Márquez, “Impact of land cover changes on water quality: an application to the Guájaro reservoir, Colombia,” Int. J. Environ. Sci. Technol., pp. 1–14, 2022.[4] F. M. Torres-Bejarano, A. C. Torregroza-Espinosa, E. Martinez-Mera, D. Castañeda-Valbuena, and M. P. TejeraGonzalez, “Hydrodynamics and water quality assessment of a coastal lagoon using environmental fluid dynamics code explorer modeling system,” Glob. J. Environ. Sci. Manag., vol. 6, no. 3, pp. 289–308, 2020.[5] O. Galvis, O. Herrera, L. Rodríguez, S. Téllez, and A. Lora, “Contribución al conocimiento de las características medioambientales de la ciénaga de Mallorquín,” VIII Semin. Nac. Ciencias y. Tecnol. Mar. CCO, vol. 1, pp. 483–489, 1992.[6] L. A. Vera and J. de la Rosa Muñoz, “Estructura de la comunidad íctica de la Ciénaga de Mallorquín, Caribe colombiano,” Boletín Investig. Mar. y Costeras-INVEMAR, vol. 32, no. 1, pp. 231–242, 2003.[7] J. C. B. Durán, A. M. O. Gómez, R. J. R. Vega, S. G. Ibáñez, and R. C. Toscano, “Contaminación en la Ciénaga de Mallorquín: una perspectiva sociojurídica,” Edu, 2018.[8] Y. Ke, J. Im, J. Lee, H. Gong, and Y. Ryu, “Characteristics of Landsat 8 OLI-derived NDVI by comparison with multiple satellite sensors and in-situ observations,” Remote Sens. Environ., vol. 164, pp. 298–313, 2015.[9] N. Gorelick, M. Hancher, M. Dixon, S. Ilyushchenko, D. Thau, and R. Moore, “Google Earth Engine: Planetaryscale geospatial analysis for everyone,” Remote Sens. Environ., vol. 202, pp. 18–27, 2017.[10] M. A. Sidi Almouctar, Y. Wu, A. Kumar, F. Zhao, K. J. Mambu, and M. Sadek, “Spatiotemporal analysis of vegetation cover changes around surface water based on NDVI: a case study in Korama basin, Southern Zinder, Niger,” Appl. Water Sci., vol. 11, pp. 1–14, 2021.[11] M. O. Aljahdali, S. Munawar, and W. R. Khan, “Monitoring mangrove forest degradation and regeneration: Landsat time series analysis of moisture and vegetation indices at Rabigh Lagoon, Red Sea,” Forests, vol. 12, no. 1, p. 52, 2021.[12] J. Lastovicka et al., “Sentinel-2 Data in an Evaluation of the Impact of the Disturbances on Forest Vegetation,” Remote Sens., vol. 12, no. 12, p. 1914, 2020.[13] R. J. Hijmans et al., “Package ‘raster,’” R Packag., vol. 734, p. 473, 2015[14] R. Nolan and S. Padilla-Parra, “ijtiff: An R package providing TIFF I/O for ImageJ users,” J. Open Source Softw., vol. 3, no. 23, 2018.[15] I. Bakurov, M. Buzzelli, R. Schettini, M. Castelli, and L. Vanneschi, “Structural similarity index (SSIM) revisited: A data-driven approach,” Expert Syst. Appl., vol. 189, p. 116087, 2022.[16] F. Osorio, R. Vallejos, and F. Cuevas, “SpatialPack: Computing the association between two spatial processes,” arXiv Prepr. arXiv1611.05289, 2016.[17] T. Hesterberg, “Bootstrap,” Wiley Interdiscip. Rev. Comput. Stat., vol. 3, no. 6, pp. 497–526, 2011.[18] A. Díaz Arteaga et al., Naturaleza urbana. Plataforma de experiencias. 2016.[19] C. Páez Correa, “Análisis de las dimensiones del desarrollo sostenible en la ciénaga de mallorquín,” 2015.531526231Ciénaga de MallorquínNDVIRemote sensingVegetation biomassPublicationORIGINALEvolution of the landscape's vegetation health condition in a tropical coastal lagoon A remote sensing study in the case of northern Colombia.pdfEvolution of the landscape's vegetation health condition in a tropical coastal lagoon A remote sensing study in the case of northern Colombia.pdfapplication/pdf686851https://repositorio.cuc.edu.co/bitstreams/2b297f80-e226-4e76-9948-0fa8053e985c/download3c5d61b73f04a9c1b677dd4b0ff39a81MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-815543https://repositorio.cuc.edu.co/bitstreams/0f2f7069-f5c2-452f-b7b4-704059dc0786/download73a5432e0b76442b22b026844140d683MD52TEXTEvolution of the landscape's vegetation health condition in a tropical coastal lagoon A remote sensing study in the case of northern Colombia.pdf.txtEvolution of the landscape's vegetation health condition in a tropical coastal lagoon A remote sensing study in the case of northern Colombia.pdf.txtExtracted texttext/plain30135https://repositorio.cuc.edu.co/bitstreams/4cad0b5e-abe1-45ac-b7b0-bd7a02a71790/download1bc58d49270f0d29f199ccb90a31a483MD53THUMBNAILEvolution of the landscape's vegetation health condition in a tropical coastal lagoon A remote sensing study in the case of northern Colombia.pdf.jpgEvolution of the landscape's vegetation health condition in a tropical coastal lagoon A remote sensing study in the case of northern Colombia.pdf.jpgGenerated Thumbnailimage/jpeg12936https://repositorio.cuc.edu.co/bitstreams/10ebb172-20c1-4261-974a-2bb905266461/downloadc1a7b8c8cfd993daade4dc1cfa6569eaMD5411323/13504oai:repositorio.cuc.edu.co:11323/135042024-10-24 03:02:41.439https://creativecommons.org/licenses/by-nc-nd/4.0/© 2024 The Authors. Published by Elsevier B.V.open.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa 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ara ejercer estos derechos sobre la Obra tal y como se indica a continuación:</p>
    <ol type="a">
      <li>Reproducir la Obra, incorporar la Obra en una o más Obras Colectivas, y reproducir la Obra incorporada en las Obras Colectivas.</li>
      <li>Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.</li>
      <li>Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.</li>
    </ol>
    <p>Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).</p>
  </li>
  <br/>
  <li>
    Restricciones.
    <p>La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:</p>
    <ol type="a">
      <li>Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).</li>
      <li>Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.</li>
      <li>Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.</li>
      <li>
        Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:
        <ol type="i">
          <li>Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.</li>
          <li>Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.</li>
        </ol>
      </li>
      <li>Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.</li>
    </ol>
  </li>
  <br/>
  <li>
    Representaciones, Garantías y Limitaciones de Responsabilidad.
    <p>A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.</p>
  </li>
  <br/>
  <li>
    Limitación de responsabilidad.
    <p>A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.</p>
  </li>
  <br/>
  <li>
    Término.
    <ol type="a">
      <li>Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.</li>
      <li>Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.</li>
    </ol>
  </li>
  <br/>
  <li>
    Varios.
    <ol type="a">
      <li>Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.</li>
      <li>Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.</li>
      <li>Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.</li>
      <li>Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.</li>
    </ol>
  </li>
  <br/>
</ol>
