Environmental analysis of land use and occupation in nine watersheds contributing to the Iguaçu River, Brazil

Authors

DOI:

https://doi.org/10.33448/rsd-v11i13.34868

Keywords:

Water resources; Monitoring; Management; Conservation.

Abstract

The land use and occupation in watersheds directly influences the water resources, and the vegetation cover is a crucial factor for water maintenance. The objective of this study was to characterize the land use and occupation in nine watersheds of the Lower Iguaçu River (Andrada, Monteiro, Gonçalves Dias, Floriano, Silva Jardim, Cotejipe, Sarandi, Capanema and Santo Antônio sub-basin rivers), using the classification from satellite images. The classification area obtained high accuracy (Kappa coefficient of 99.4 to 99.9%). The Floriano River sub-basin presented the highest degree of environmental preservation, followed by Silva Jardim and Gonçalves Dias River sub-basins, fully or partially inserted in Iguaçu National Park. Monteiro and Sarandi river sub-basins showed the smallest areas of vegetation, and Capanema, Cotejipe, Andrada and Santo Antônio River sub-basins exhibited an intermediate condition. This tendency was verified by the cluster analysis. These results can serve as a baseline for planning, monitoring and management of this area, environmental modeling, conservation of water resources, biodiversity, and environmental services.

Author Biographies

Jhony F. M. Silva, Universidade Estadual do Oeste do Paraná

He completed the undergraduate course in Technology in Environmental Management at the State University of Mato Grosso do Sul (UEMS), the master's degree in Fisheries Resources and Fisheries Engineering at the State University of Western Paraná (UNIOESTE). Currently, PhD student in Fisheries Resources and Fisheries Engineering at UNIOESTE. He is fascinated by the knowledge in Geoprocessing, Remote Sensing and Geographic Information Systems (GIS).

Max Portuguez Obeso, Universidade Estadual do Oeste do Paraná; Instituto Federal de Educação Ciência e Tecnologia do Tocantins

Professor at the Federal Institute of Tocantins (IFTO). Graduated in Electrical and Electronics Industrial Engineering CEFET-RJ. Master in Computer Modeling at the Federal University of Tocantins (UFT). Doctoral student in Fisheries Resources and Fisheries Engineering at the University of Oste do Paraná (Unioeste).

Maristela Cavicchioli Makrakis, Universidade Estadual do Oeste do Paraná

Possui graduação em Ciências Biológicas pela Universidade Estadual de Londrina (1991), mestrado em Ecologia de Ambientes Aquáticos Continentais (Sistemática e Ecologia de Larvas de peixes) pela Universidade Estadual de Maringá (1995), doutorado em Ecologia de Ambientes Aquáticos Continentais (Ecologia trófica de Larvas de Peixes) pela Universidade Estadual de Maringá (2000) e pós-doutorado em Manejo e Conservação de Recursos Pesqueiros (Comportamento Migratório de Peixes) pela Mississippi State University-MS-USA (2006). Atualmente é Professora Associada do Curso de Engenharia de Pesca da Universidade Estadual do Oeste do Paraná, docente do Mestrado e Doutorado em Recursos Pesqueiros e Engenharia de Pesca e do Mestrado em Conservação e Manejo de Recursos Naturais na mesma instituição. Tem experiência na área de Manejo e Conservação de Recursos Pesqueiros, com ênfase em migração de peixes e ecologia das fases iniciais de vida dos peixes, atuando principalmente nos seguintes temas: identificação, ecologia e alimentação de larvas de peixes; habitats de desova; comportamento migratório, avaliação de sistemas de transposição para peixes e capacidade natatória.

Sergio Makrakis , Universidade Estadual do Oeste do Paraná

Graduated in Fisheries Engineering from Universidade Federal do Ceará (1986), Master in Agricultural Engineering from Universidade Estadual de Oeste do Paraná (2002), Doctor in Ecology of Continental Aquatic Environments from Universidade Estadual de Maringá and sandwich from Mississippi State University (2007). Postdoctoral fellow at the S.O. Conte Anadromous Fish Research Laboratory, USGS (US Geological Survey - 2009) and at the University of Valladolid, Spain (2013). Associate Professor at the State University of Western Paraná Unioeste.

 

References

Bagan, H., Li, H., Yang Y., Takeuchi, W., & Yamagata, Y. (2018). Sensitivity of the subspace method for land cover classification. The Egyptian Journal of Remote Sensing and Space Sciences.

Biehl, L. & Landgrebe, D. (2002). MultiSpec: a tool for multispectral--hyperspectral image data analysis. Computers & Geosciences, 2002.

Brasil. Lei 12.651, de 25 de maio de 2012, Brasília, (2012). Código Florestal. < http://www.planalto.gov.br/ccivil_03/_ato2011-2014/2012/lei/l12651.htm>

Brasileiro, F. G., Oliveira, C. M. M., Rodrigues, R. A., & Delgado, R. C. (2016). Classificação de imagem orbital pelo método máxima verossimilhança em Quixeramobim, Ceará, Brasil. Rev. Geogr. Acadêmica.

Brazilian Institute of Geography and Statistics (IBGE) (2014). Population Census2014. <https://www.ibge.gov.br/cidades-e-estados/pr>.

Celestino, E.F., Celestino, L.F., Silva, J.F.M., Kashiwaqui, E.A.L., Makrakis, M.C., & Makrakis, S. (2019). Environmental assessment in Neotropical watersheds: A multi-factorial approach. Sustainability 11, 1-17, doi:10.3390/su11020490

Chico Mendes Institute for Biodiversity Conservation (ICMBio). (2021). https://www.gov.br/icmbio/pt-br/assuntos/biodiversidade/unidade-de-conservacao/unidades-de-biomas/mata-atlantica/lista-de-ucs/parna-do-iguacu/arquivos/plano_de_manejo_do_parna_do_iguacu_fevereiro_2018.pdf.

Clarke, K. R. & Gorley, R. N. (2006). PRIMER v6: User Manual/Tutorial. PRIMER-E, Plymouth.

Clarke, K. R. & Warwick, R.M. (2001) Change in Marine Communities: An Approach to Statistical Analysis and Interpretation. 2nd Edition, PRIMER-E, Ltd., Plymouth Marine Laboratory, Plymouth.

Clarke, K. R., Somerfield, P. J., & Gorley R. N. (2008). Testing of null hypotheses in exploratory community analyses: similarity profiles and biota-environment linkage, Journal of Experimental Marine Biology and Ecology, Volume 366, Pages 56–69.

Cruz, B. B., Manfré, L. A., Ricci, D. S., Brunoro, D., Appolinario, L., & Quintanilha J. A. (2017). Environmental fragility framework for water supply systems: a case study in the Paulista Macro Metropolis area (SE Brazil). Environmental Earth Sciences.

Giri, S., & Qiu, Z. (2016). Understanding the relationship of land uses and water quality in Twenty First Century: A review. Journal of Environmental Management.

Hair J. F., Black, W. C., Badim, B. J., Anderson, R. E., & Tatham, R. L. (2005). Análise Multivariada de Dados. Bookman, Porto Alegre.

Hentz, A. M. K., Corte, A. P. D., Doubrawa, B., & Sanquetta, C. R. (2015). Avaliação da fragmentação dos remanescentes florestais da bacia hidrográfica do rio Iguaçu – PR, Brasil. Enciclopédia Biosfera, Centro Científico Conhecer.

Jensen, J. R. (2009). Sensoriamento Remoto do Ambiente: Uma perspectiva em Recursos Terrestres. Editora Parêntese, São José dos Campos-SP, Brasil.

Khalil, R. Z., & Haque, S. U. (2018). InSAR coherence-based land cover classification of Okara, Pakistan. The Egyptian Journal of Remote Sensing and Space Science, Volume 21, Supplement 1.

Köppen, W. G., & Geiger, R. M. (1936). Handbuch der Klimatologie in fünf Bänden. Verlag von Gebrüder Borntl'aeger, Berlin.

Landis, J.R., & Koch, G.G. (1977). The measurement of observer agreement for categorical data. Biometrics.

MAPBIOMAS – Projeto Mapbiomas – (2019) Coleção 6 (1985 – 2020) da Serie Anual de Uso e Cobertura da Terra do Brasil. https://mapbiomas.org.

Mello O. A. G., Douhi N., Junior P. F., & Santos M. L. (2010). Verificação da influência da imposição litoestrutural sobre a drenagem da bacia hidrográfica do Rio Baiano/Assis Chateaubriand-PR a partir da aplicação de variáveis morfométricas. Revista Brasileira de Geografia Física.

Morin, K., & Davis, J. L. (2016). Cross-Validation: What Is It and How Is It Used in Regression? Communications in Statistics - Theory and Methods.

Murmu S., & Biswas S. (2015). Application of Fuzzy logic and Neural Network in Crop Classification: A Review. International Conference on Water Resources, Coastal and Ocean Engineering. Aquatic Procedia, Volume 4, Pages 1203-1210.

National Water Agency (ANA) (2015). The Ottocodified Hydrographic Base (BHO) of the Iguaçu River. < http://metadados.ana.gov.br /geonetwork/srv/pt/ main.home?uuid=efd77aa1-3c73-4ca1-9cbc-7a2193ea743b>.

Neto, A. S. R. (2010). Análise da conjuntura agropecuária safra 2010/11. Agrometeorologia. Secretaria da Agricultura e do Abastecimento. Departamento de Economia Rural.

Pinheiro, A., Bertoldi, J., Vibrans, A. C., Kaufmann, V., & Deshayes, M. (2011). Uso do solo na zona ripária de bacias agrícolas de pequeno a médio porte. Revista Árvore, Viçosa-MG.

QGIS Development Team (2015). QGIS Geographic Information System. Open Source Geospatial Foundation Project. <http://www.qgis.org/>.

Shimizu, J. Y. (2007). Estratégia complementar para conservação de espécies florestais nativas: resgate e conservação de ecótipos ameaçados. Pesq. Flor. bras. Colombo, n.54, p.07-35.

Silva, J. F. M., Celestino, E. F., Souza, G. H. B., Obeso, M. P, Makrakis M. C., & Makrakis, S. (2022). Multiple assessment in large-scale river basins. Research, Society and Development. < https://rsdjournal.org/index.php/rsd/article/view/25698>

Tambosi, L. R., Vidal, M. M., Ferraz S. F. B., & Metzger, J. P. (2015). Funções eco-hidrológicas das florestas nativas e o Código Florestal. Estudos Avançados.

Tundisi, J. G., (2003). Água no século XXI: enfrentando a escassez. São Carlos: RiMa/IIE.

Uriarte, M., Yackulic, C. B., Lim, Y., & Arce-Nazario, J. A. (2011). Influence of land use on water quality in a tropical landscape: a multi-scale analysis. Landscape Ecol.

Wurtzebach, Z., & Schultz, C. (2016). Measuring Ecological Integrity: History, Practical Applications, and Research Opportunities. BioScience.

Yuan, F., Sawaya, K. E., Loeffelholz, B. C., & Bauer, M. E. (2005). Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing. Remote Sensing of Environment.

Downloads

Published

28/09/2022

How to Cite

SILVA, J. F. M. .; OBESO, M. P. .; MAKRAKIS, M. C. .; MAKRAKIS , S. Environmental analysis of land use and occupation in nine watersheds contributing to the Iguaçu River, Brazil . Research, Society and Development, [S. l.], v. 11, n. 13, p. e66111334868, 2022. DOI: 10.33448/rsd-v11i13.34868. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/34868. Acesso em: 19 apr. 2024.

Issue

Vol. 11 No. 13

Section

Agrarian and Biological Sciences

License

Copyright (c) 2022 Jhony F. M. Silva; Max Portuguez Obeso; Maristela Cavicchioli Makrakis; Sergio Makrakis

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors who publish with this journal agree to the following terms:

1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.