Characterization and classification of bottom rocky reef La Sorpresa (Baja California Sur, Mexico) using spatial interpolation methods.

Authors

  • Arturo Del Pino -Machado
  • José Manuel Borges-Souza
  • Francisco Javier Urcádiz-Cázares
  • Víctor Hugo Cruz-Escalona
  • Guillermo Martínez-Flores
  • Arelly Ornelas-Vargas Ornelas-Vargas

DOI:

https://doi.org/10.37543/oceanides.v37i1-2.274

Keywords:

Interpolation, California Gulf, Habitat maps

Abstract

The environmental classification represents one of the first steps in the development of any kind of research in a region. Use of habitat mapping has been frequently employed to represent the features of the environment since it allows the classification of homogeneous regions based on unique characteristics. La Sorpresa is a highly heterogeneous reef, but the characterizations carried out, have not captured this diversity. The objective of this study is to develop a cartographic product attached to the spatial manifestation of the habitat in this rocky reef. For this, sampling was carried out to obtain data from the benthic environment that allows characterizing the area, by interpolating the percentage values of the abiotic and biotic covers. In the present work, it was demonstrated that the use of point data obtained from visual censuses together with interpolation methods, turned out to be an effective strategy, with good performance for the characterization of reefs. Also, the habitat maps of the area were created. The interpolation method Weighted Mean Distance (IDW) showed greater fidelity in representing the characteristics of the environment. Thanks to this, it was possible to verify that the reef presented high habitat heterogeneity. In general, the rocky reef of shows a composition with tepetate and rocks as the predominant hard substrates in the area, in these, the coverage of coralline algae, coral, and macroalgae is supported.

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References

Alvarez-Filip, L., Reyes-Bonilla, H., y Calderon-Aguilera, L. E. (2006). Community structure of fishes in Cabo Pulmo Reef, Gulf of California. Marine Ecology, 27(3), 253–262. https://doi.org/10.1111/j.1439-0485.2006.00108.x DOI: https://doi.org/10.1111/j.1439-0485.2006.00108.x

Björk, M., Mohammed, S., Björklund, M., y Semesi, A. (1995). Coralline Algae, Important Coral-Reef Builders Threatened by Pollution. AMBIO: A Journal of the Human Environment, 24(7-8), 502–505.

Calapiz-Segura, A. (2004). Composición y estructura comunitaria de peces de arrecife rocoso en Punta Perico e Isla Cerralvo, Baja California Sur, México. Tesis de Maestría. Instituto Politécnico Nacional, Centro Interdisciplinario de Ciencias Marinas. La Paz, Baja California Sur, México. http://repositoriodigital.ipn.mx/handle/123456789/14388

Chust, G., Galparsoro, I., Borja, A., Franco, J., Beltrán, B., y Uriarte, A. (2007). Detección de cambios recientes en la costa vasca mediante ortofotografía. Lurralde, 30(59), e72. https://www.ingeba.org/lurralde/lurranet/lur30/30chust/30chust.htm

De Smith, M. J., Goodchild, M. F. y Longley, P. (2007) Geospatial Analysis: A Comprehensive Guide to Principles, Techniques and Software Tools. Leicester, UK: Troubador Publishing Ltd.

Franke, R., y Nielson, G. M. (1991). Scattered Data Interpolation and Applications: A Tutorial and Survey. pp. 131-160. In: Hagen, H., y Roller, D. (Eds.). Geometric Modeling. Computer Graphics — Systems and Applications. Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-642-76404-2_6 DOI: https://doi.org/10.1007/978-3-642-76404-2_6

Isaaks, E. H. y Srivastava, R. M. (1989). An Introduction to Applied Geostatistics. New York: Oxford University Press. 413 p.

Krivoruchko, K. (2012). Empirical Bayesian kriging. ArcUser, 6(10), 6-20. https://www.esri.com/news/arcuser/1012/files/ebk.pdf

Luo, W., Taylor, M. C., y Parker, S. R. (2008). A comparison of spatial interpolation methods to estimate continuous wind speed surfaces using irregularly distributed data from England and Wales. International Journal of Climatology, 28(7), 947-959. https://doi.org/10.1002/joc.1583 DOI: https://doi.org/10.1002/joc.1583

Melendez Cal-Mayor, J. F. (2014). Variabilidad genética y conectividad de la jaqueta de Cortés, Stegastes rectifraenum (Gill, 1862), Perciformes: pomacentridae, en ambas costas de la Península de Baja California. Tesis de Maestría. Instituto Politécnico Nacional, Centro Interdisciplinario de Ciencias Marinas. La Paz, Baja California Sur, México. http://www.repositoriodigital.ipn.mx/handle/123456789/19679

Mkrtchyan, A. (2004). Spatial interpolation of field data on plant abundance. pp. 314-321. En: Commarmot, B., y Hamor F. D. (Eds.). Mukachevo, Ukraine Proceedings: Natural Forests in the Temperate Zone of Europe - Values and Utilisation. Birmensdorf, Swiss Federal Research Institute WSL; Rakhiv, Carpathian Biosphere Reserve. https://geography.lnu.edu.ua/wp-content/uploads/publications/mkrtchian_2.pdf

Nababan, B., Mastu, L. O. K., Idris, N. H., y Panjaitan, J. P. (2021). Shallow-Water Benthic Habitat Mapping Using Drone with Object Based Image Analyses. Remote Sensing, 13(21), 4452. https://doi.org/10.3390/rs13214452 DOI: https://doi.org/10.3390/rs13214452

Nijhawan, R., Srivastava, I., y Shukla, P. (2017). Land cover classification using super-vised and unsupervised learning techniques. Paper 1. En: Department of Computer Science and Engineering SSN College of Engineering (Ed.). 2017 International Conference on Computational Intelligence in Data Science. Short Proceedings. Chennai, India: Department of Computer Science and Engineering, SSN College of Engineering. https://doi.org/10.1109/ICCIDS.2017.8272630 DOI: https://doi.org/10.1109/ICCIDS.2017.8272630

Olivier, D., Lepoint, G., Aguilar-Medrano, R., Díaz, A. H. R., Sánchez-González, A., y Sturaro, N. (2019). Ecomorphology, trophic niche, and distribution divergences of two common damselfishes in the Gulf of California. Comptes Rendus Biologies, 342(9-10), 309-321. https://doi.org/10.1016/j.crvi.2019.11.001 DOI: https://doi.org/10.1016/j.crvi.2019.11.001

Richards J. A. (2013). Remote Sensing Digital Image Analysis: An introduction. 5th ed. New York-London-Berlin: Springer Verlag. ISBN-10:‎ 978-3-642-30061-5. DOI: https://doi.org/10.1007/978-3-642-30062-2

Rigaux, P., Scholl, M., y Voisard, A. (2001). Spatial databases: with application to GIS. San Francisco, Ca: Morgan Kaufmann.

Rodríguez-Basalo, A., Ríos, P., Arrese, B., Abad-Uribarren, A., Cristobo, J., Ibarrola, T. P., Gómez-Ballesteros, M., Prado, E., y Sánchez, F. (2022). Mapping the habitats of a complex circalittoral rocky shelf in the Cantabrian Sea (south Bay of Biscay). Estuarine, Coastal and Shelf Science, 273, 107912. https://doi.org/10.1016/j.ecss.2022.107912 DOI: https://doi.org/10.1016/j.ecss.2022.107912

Sánchez-Caballero, C. A. (2014). Variación espacio temporal en la estructura comunitaria de la ictiofauna del arrecife rocoso de Playa La Sorpresa, B.C.S. México. Tesis Maestría. Instituto Politécnico Nacional, Centro Interdisciplinario de Ciencias Marinas. La Paz, Baja California Sur, México. http://repositoriodigital.ipn.mx/handle/123456789/20181

Sánchez-Caballero, C. A., Borges-Souza, J. M. y Ferse, S. C. A. (2019). Rocky reef fish community composition remains stable throughout seasons and El Niño/La Niña events in the southern Gulf of California. Journal of Sea Research, 146, 55-62. https://doi.org/10.1016/j.seares.2019.01.008 DOI: https://doi.org/10.1016/j.seares.2019.01.008

Sheehan, K. R., y Welsh, S. A. (2009). An Interpolation Method for Stream Habitat Assessments. North American Journal of Fisheries Management, 29(1), 1-9. https://doi.org/10.1577/M07-080.1 DOI: https://doi.org/10.1577/M07-080.1

Sheppard, C. R. C., Matheson, K., Bythell, J. C., Murphy, P., Myers, C. B., y Blake, B. (1995). Habitat mapping in the Caribbean for management and conservation: use and assessment of aerial photography. Aquatic Conservation: Marine and Freshwater Ecosystems, 5(4), 277-298. https://doi.org/10.1002/aqc.3270050404 DOI: https://doi.org/10.1002/aqc.3270050404

Sibson, R. (1981). A Brief Description of Natural Neighbor Interpolation. pp. 21-36. En: Barnett, V. (Ed.). Interpreting Multivariate Data. New York: John Wiley & Sons. ISBN-13: 978-0471280392.

Silvero, N. E. Q., Demattê, J. A. M., Vieira, J. de S., Mello, F. A. de O., Amorim, M. T. A., Poppiel, R. R., Mendes, W. de S., y Bonfatti, B. R. (2021). Soil property maps with satellite images at multiple scales and its impact on management and classification. Geoderma, 397, 115089. https://doi.org/10.1016/j.geoderma.2021.115089 DOI: https://doi.org/10.1016/j.geoderma.2021.115089

Tapia-Silva, F. O., O. E. Hernández-Cervantes, M. I. Vilchis-Alfaro, A. Sentíes y K. M. Dreckmann. (2015). Mapping of algae richness using spatial data interpolation. pp. 1005–1008. En: Schreier, G., Skrovseth, P. E. y Staudenrausch, H. (Eds.). 36th International Symposium on Remote Sensing of Environment (Volume XL-7/W3). Berlin, Germany: Copernicus Publications. https://doi.org/10.5194/isprsarchives-XL-7-W3-1005-2015 DOI: https://doi.org/10.5194/isprsarchives-XL-7-W3-1005-2015

Tait, L. W., Orchard, S., y Schiel, D. R. (2021). Missing the Forest and the Trees: Utility, Limits and Caveats for Drone Imaging of Coastal Marine Ecosystems. Remote Sensing, 13(16), 3136. https://doi.org/10.3390/rs13163136 DOI: https://doi.org/10.3390/rs13163136

Tizol-Rosado, D. F. (2019). Influencia de la complejidad del hábitat sobre la variación espacio-temporal de la macrofauna en arrecifes rocosos de la Bahía de La Paz. Tesis Maestría. Instituto Politécnico Nacional, Centro Interdisciplinario de Ciencias Marinas La Paz, Baja California Sur, México. http://repositoriodigital.ipn.mx/handle/123456789/26291

Urcádiz-Cázares, F. J., Cruz-Escalona, V. H., Nava-Sánchez, E. H. y Ortega-Rubio, A. (2017). Clasificación de unidades del fondo marino a partir de la distribución espacial de los sedimentos superficiales de la Bahía de La Paz, Golfo de California. Hidrobiológica, 27, 399-409. https://doi.org/10.24275/uam/izt/dcbs/hidro/2017v27n3/Urcadiz DOI: https://doi.org/10.24275/uam/izt/dcbs/hidro/2017v27n3/Urcadiz

Valley, R. D., Drake, M. T. y Anderson, C. S. (2005). Evaluation of alternative interpolation techniques for the mapping of remotely-sensed submersed vegetation abundance. Aquatic Botany, 81, 13-25. https://doi.org/10.1016/j.aquabot.2004.09.002 DOI: https://doi.org/10.1016/j.aquabot.2004.09.002

Villegas-Sánchez, C. A., Abitia-Cárdenas, L. A., Gutiérrez-Sánchez, F. J. y Galván-Magaña, F. (2009). Rocky-reef fish assemblages at San José Island, Mexico. Revista Mexicana de Biodiversidad, 80, 169-179. http://dx.doi.org/10.22201/ib.20078706e.2009.001.594 DOI: https://doi.org/10.22201/ib.20078706e.2009.001.594

Wang, K., Wang, T., y Liu, X. (2019). A Review: Individual Tree Species Classification Using Integrated Airborne LiDAR and Optical Imagery with a Focus on the Urban Environment. Forests, 10(1), 1. https://doi.org/10.3390/F10010001 DOI: https://doi.org/10.3390/f10010001

Wu, T. y Li, Y. (2013). Spatial interpolation of temperature in the United States using residual kriging. Applied Geography, 44, 112-120. https://doi.org/10.1016/j.apgeog.2013.07.012 DOI: https://doi.org/10.1016/j.apgeog.2013.07.012

Xiao, Y., Gu, X., Yin, S., Shao, J., Cui, Y., Zhang, Q. y Niu, Y. (2016). Geostatistical interpolation model selection based on ArcGIS and spatio-temporal variability analysis of groundwater level in piedmont plains, northwest China. SpringerPlus, 5, 1-15. https://doi.org/10.1186/s40064-016-2073-0 DOI: https://doi.org/10.1186/s40064-016-2073-0

Published

2023-02-28

How to Cite

Del Pino -Machado, A., Borges-Souza, J. M., Urcádiz-Cázares, F. J., Cruz-Escalona, V. H., Martínez-Flores, G., & Ornelas-Vargas, A. O.-V. (2023). Characterization and classification of bottom rocky reef La Sorpresa (Baja California Sur, Mexico) using spatial interpolation methods. CICIMAR Oceánides, 37(1), 13–24. https://doi.org/10.37543/oceanides.v37i1-2.274

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