Influence of climatic phenomena and deforestation on hydroenvironmental fragility, Gurupi River watershed, Northern Brazil
DOI:
https://doi.org/10.5327/Z2176-94781621Keywords:
extreme years; land use and land cover; geosystems.Abstract
In recent decades, climatic and anthropogenic pressures have caused serious environmental problems. The joint analysis of geo-environmental variables, through geoprocessing techniques, can support the estimation of the contribution of each environmental component to hydro-environmental fragility (HF). The aim of this work was to analyze the contribution of climatic phenomena and deforestation in the HF of the Gurupi River Watershed (GRW). Precipitation data were extracted from the Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS); land use and cover were obtained from the MapBiomas Project; drainage network was acquired from the National Water and Sanitation Agency (ANA); slope data were gathered from the National Institute for Space Research (INPE); soil data were obtained from the Brazilian Agricultural Research Corporation (EMBRAPA); geomorphological units were extracted from the Brazilian Institute of Geography and Statistics (IBGE); and rock data were based on the Geological Survey of Brazil (CPRM). For the mapping of HF, the Analytic Hierarchy Process (AHP) was adopted to weigh the importance of each variable in four extreme precipitation year scenarios (1989, 2012, 2015, and 2019). It was observed that spatial precipitation is considerably different in extreme years. Results showed that deforestation has increased over the years; and that static geo-environmental variables (drainage, slope, soils, geomorphological units, and rocks) have larger feature domains that favor the increase of HF in the GRW. The HF of the GRW showed significant differences in the analyzed scenarios. Policies and environmental conservation programs are needed in the GRW.
Downloads
References
Agência Nacional de Águas e Saneamento Básico (ANA), 2015. Conjuntura dos recursos hídricos no Brasil: regiões hidrográficas brasileiras – edição especial. Brasília: ANA (November 01, 2022) at:. https://www.snirh.gov.br/portal/centrais-de-conteudos/conjuntura-dos-recursos hidricos/regioeshidrograficas2014.pdf/view
Agência Nacional de Águas e Saneamento Básico (ANA), 2022. Sistema Nacional de Informações sobre Recursos Hídricos (Accessed November 04, 2022) at:. https://www.snirh.gov.br/hidroweb/serieshistoricas
Aguirre-Ayerbe, I.; Merino, M.; Aye, S.L.; Dissanayake, R.; Shadiya, F.; Lopez, C.M., 2020. An evaluation of availability and adequacy of multi-hazard early warning systems in Asian countries: A baseline study. International Journal of Disaster Risk Reduction, v. 49, 1-11. https://doi.org/10.1016/j.ijdrr.2020.101749
Bacani, V.M.; Sakamoto, A.Y.; Luchiari, A.; Quénol, H., 2015. Sensoriamento remoto e SIG aplicados à avaliação da fragilidade ambiental de bacia hidrográfica, Mercator, v. 14, (2), 119-135. https://doi.org/10.4215/RM2015.1402.0008
Bowman, K.W.; Dale, S.A.; Dhanani, S.; Nehru, J.; Rabishaw, B.T., 2021. Environmental degradation of indigenous protected areas of the Amazon as a slow onset event. Current Opinion in Environmental Sustainability, v. 50, 260-271. https://doi.org/10.1016/j.cosust.2021.04.012
Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS), 2022. Rainfall estimates from gauge and satallite observation. Climate Hazards Center, UC Santa Bárbara (Accessed October 09, 2022) at:. https://data.chc.ucsb.edu/products/CHIRPS-2.0/
Companhia de Pesquisa de Recursos Minerais (CPRM), 2022. Serviço Geológico Brasileiro. Dados, Informações e Produtos (Accessed October 12, 2022) at:.https://geosgb.cprm.gov.br/geosgb/downloads.html
Córdova, M.; Célleri, R.; Delden, A., 2022. Dynamics of precipitation anomalies in Tropical South America. Atmosphere, v. 13, (6), 1-13. https://doi.org/10.3390/atmos13060972
Costa, C.A.A.; Blanco, C.J.C., 2018. Influência da variabilidade climática sobre a erosividade em Belém (PA). Revista Brasileira de Meteorologia, v. 33, (3), 509-520. https://doi.org/10.1590/0102-7786333010
Dias, F.G.; Lima, A.M.M., 2020. Zoneamento hidroambiental da bacia hidrográfica do rio Acará, Amazônia Oriental. Caderno de Geografia, v. 30, (61), 431-450. https://doi.org/10.5752/P.2318-2962.2020v30n61p450
Empresa Brasileira de Pesquisas Agropecuárias (EMBRAPA), 2022. Sistema Brasileiro de Classificação de Solos (SiBCS) (Accessed October 11, 2022) at:. http://geoinfo.cnps.embrapa.br/layers/?limit=100&offset=0
Faisal, B.M.R.; Hayakawa, Y.S., 2022. Geomorphological processes and their connectivity in hillslope, fluvial, and coastal areas in Bangladesh: A review. Progress in Earth and Planetary Science, v. 9, (41), 1-22. https://doi.org/10.1186/s40645-022-00500-8
França, L.C.J.; Lopes, L.F.; Morais, M.S.; Lisboa, G.S.; Rocha, S.J.S.S.; Morais Junior, V.T.M.; Santana, R.C.; Mucida, D.P., 2022. Environmental Fragility Zoning using GIS and AHP modeling: perspectives for the conservation of natural ecosystems in Brazil. Conservation, v. 2, (2), 349-366. https://doi.org/10.3390/conservation2020024
Fuchs, V.B., 2020. Chinese-drive frontier expansion in the Amazon: four axes of pressure caused by the growing demand for soy trade. Revista Ciências Sociais, v. 20, (1), 16-31. https://doi.org/10.15448/1984-7289.2020.1.34656
Funk, C.; Peterson, P.; Landsfeld, M.; Pedreros, D.; Verdin, J.; Shukla, S.; Husak, G.; Rowland, J.; Harrison, L.; Hoell, A.; Michaelsen, J., 2015. The climate hazards infrared precipitation with stations – a new environmental record for monitoring extremes. Scientific data, v. 2, (150066), 1-21. https://doi.org/10.1038/sdata.2015.66
Gomes, D.J.C.; Nascimento, M.M.M.; Pereira, F.M.; Dias, G.F.M.; Meireles, R.R.; Souza, L.G.N.; Picanço, A.R.S.; Ribeiro, H.M.C., 2022. Flow variability in the Araguaia river hydrographic basin influenced by precipitation in extreme years and deforestation. Brazilian Journal of Environmental Sciences (RBCIAMB), v. 57, (3), 451-466. https://doi.org/10.5327/Z2176-94781358
Huguenin, L.; Meirelles, R.M.S., 2022. Do período colonial à COP26: breve resgate histórico sobre as mudanças climáticas relacionadas ao uso da terra no Brasil. Revista Brasileira de Educação Ambiental, v. 17, (5), 132-149. https://doi.org/10.34024/revbea.2022.v15.13930
Instituto Brasileiro de Geografia Física (IBGE), 2022. Geociências – Informações Ambientais (Accessed October 10, 2022) at:. https://www.ibge.gov.br/geociencias/informacoes-ambientais/geomorfologia.html
Instituto Nacional de Meteorologia (INMET), 2022. Normais Climatológicas (Accessed August 19, 2022) at:. https://clima.inmet.gov.br/NormaisClimatologicas/1961-1990/precipitacao_acumulada_mensal_anual.
Instituto Nacional de Pesquisas Espaciais (INPE), 2022 (Accessed August 10, 2022) at:. http://www.webmapit.com.br/inpe/topodata/
Jahfer, S.; Vinayachandran, P.N.; Nanjundiah, R.S., 2017. Long-term impacto of Amazon River runoff on northern hemispheric climate. Scientific Reports, v. 7, (10989), 1-9. https://doi.org/10.1038/s41598-017-10750-y
Jorge, R.L.O.; Lucena, D.B., 2018. Eventos extremos anuais de precipitação em Mauriti- CE. Ciência & Natura, v. 40, (65), 1-10. https://doi.org/10.5902/2179460X34045
Kelman, I., 2019. Pacific island regional preparedness for El Niño. Environmental, Development and Sustainability, v. 21, 405-428. https://doi.org/10.1007/s10668-017-0045-3
Kubota, N.A.; Prata, T.C.; Lima, I.F.; Lima, A.M.M., 2019. Hidrogeomorfologia e susceptibilidade a erosão da bacia do rio Gurupi (PA-MA). Revista Geográfica Acadêmica, v. 13, (2), p. 67-89. ISSN 1678-7226 Leite-Filho, A.T.; Soares-Filho, B.S.; Davis, J.L.; Abrahão, G.M., 2021. Deforestation reduces rainfall and agricultural revenues in the Brazilian Amazon. Nature Communications, v. 12, (2591), 1-7. https://doi.org/10.1038/s41467-021-22840-7
Li, Z.; Fang, H., 2016. Impacts of climate change on water erosion: a review. Earth-Science Reviews, v. 163, 94-117. https://doi.org/10.1016/j.earscirev.2016.10.004
Lira, K.C.S.; Francisco, H.R.; Feiden, A., 2022. Classification of environmental fragility in watershed using Fuzzy logic and AHP method. Sociedade & Natureza, v. 34, 1-17. https://doi.org/10.14393/SN-v34-2022-62872
Llopart, M.; Reboita, M.S.; Coppola, E.; Giorgi, F.; Rocha, R.P.; Souza, D.O., 2018. Land use change over the Amazon forest and its impact on the local climate. Water, v. 10, (2), 1-12. https://doi.org/10.3390/w10020149
Marengo, J.A.; Jimenez, J.C.; Espinoza, J.; Cunha, A.P.; Aragão, L.E.O., 2022. Increased climate pressure on the agriculture frontier in the Eastern Amazonia-Cerrado transition zone. Scientific Reports, v. 12, (457), 1-10. https://doi.org/10.1038/s41598-021-04241-4
Marin, F.R.; Zanon, A.J.; Monzon, J.P.; Andrade, J.F.; Silva, E.H.F.M.; Richter, G.L.; Antolin, L.A.S.; Ribeiro, B.S.M.R.; Ribas, G.G.; Battisti, R.; Heinemann, A.B.; Grassini, P., 2022. Protecting the Amazon forest and reducing global warming via agricultural intensification. Nature Sustainability, v. 5, 1018-1026. https://doi.org/10.1038/s41893-022-00968-8
Musso, A.; Tikhomirov, D.; Plotze, M.L.; Greinwald, K.; Hartmann, A.; Geitner, C.; Maier, F.; Petibon, F.; Egli, M., 2022. Soil formation and mass redistribution during the Holocene using meteoric 10Be, soil chemistry and mineralogy, Geosciences v. 12, (2), 1-42. https://doi.org/10.3390/geosciences12020099
Narendra, B.H.; Siregar, C.A.; Dharmawan, W.S.; Sukmana, A.; Pratiwi; Pramono, I.B.; Basuki, T.M.; Nugroho, H.Y.S.H.; Supangat, A.B.; Purwanto; Setiawan, O.; Nandini, R.; Ulya, N.A.; Arifanti, V. B.; Yuwati, T.W., 2021. A review on sustainability of watershed management in Indonesia. Sustainability, v. 13, (19), 1-29. https://doi.org/10.3390/su131911125
Nóbrega, R.S.; Santiago, G.A.C.F.; Soares, D.B., 2016. Tendências do controle climático oceânico sob a variabilidade temporal da precipitação no Nordeste do Brasil. Revista Brasileira de Climatologia, v. 18, 276-292. https://doi.org/10.5380/abclima.v18i0.43657
Paca, V.H.M.; Espinoza-Dávalos, G.E.; Moreira, D.M.; Comair, G., 2020. Variability of trends in precipitation across the Amazon River basin determined from the CHIRPS precipitation product and from station records. Water, v. 12, (5), 1-22. https://doi.org/10.3390/w12051244
Paim, M., 2021 Zero deforestation in the Amazon: the soy moratorium and global forest governance. Review of European, Comparative & International Environmental Law, v. 30, (2), 220-232. https://doi.org/10.1111/reel.12408
Pedreira JÚnior, A.L.; Querino, C.A.S.; Biudes, M.S.; Machado, N.G.; Santos, L.O.F.; Ivo, I.O., 2020. Influence of El Niño and La Niña phenomena on seasonality of the relative Frequency of rainfall in southern Amazonas mesoregion. Revista Brasileira de Recursos Hídricos, v. 25, (24), 1-8. https://doi.org/10.1590/2318-0331.252020190152
Pezzi, L.P.; Souza, R.B.; Quadro, M.F.L., 2016. Uma revisão dos processos de interação oceano-atmosfera em região de intenso gradiente termal do oceano Atlântico Sul baseada em dados observacionais. Revista Brasileira de Meteorologia, v. 31, (4), 428-453. https://doi.org/10.1590/0102-778631231420150032
Pinillos, D.; Poccard-Chapuis, R.; Bianchi, F.J.J.A.; Corbeels, M.; Timler, C.J.; Tittonell, P.; Ballester, M.V.R.; Schulte, R.P., 2021. Landholderss’ perceptions on legal reserves and agricultural intensification: diversity and implications for forest conservation in the Eastern Brasilian Amazon. Forest Policy and Economics, v. 129, 1-14. https://doi.org/10.1016/j.forpol.2021.102504
Projeto MapBiomas, 2022. 2022 – Coleção 7 da série anual de mapas de cobertura e uso do solo do Brasil (Accessed October 08, 2022) at:. https://mapbiomas.org/
Rodrigues, R.S.S.; Silva, M.N.A.; Ferreira Filho, D.F.; Bezerra, P.E.S.; Figueiredo, N.M., 2020. Análise dos efeitos de um evento extremo de chuva sobre o escoamento superficial em uma pequena bacia hidrográfica rural amazônica. Revista Brasileira de Climatologia, v. 26, 368-392. https://doi.org/10.5380/abclima.v26i0.65246
Ross, J.L.S., 1994. Análise empírica da fragilidade dos ambientes naturais e antropizados. Revista do Departamento de Geografia, v. 8, 3-74. https://doi.org/10.7154/RDG.1994.0008.0006
Saaty, T.L., 1980. The analytic Hierarchy Process. McGraw-Hill, New York. Scientific Research an Academic Publisher (Accessed December 02, 2022) at:. https://www.scirp.org/(S(lz5mqp453edsnp55rrgjct55))/reference/ReferencesPapers.aspx?ReferenceID=1943982
Sarapatka, B.; Bednar, M., 2022. Rainfall erosivity impacts on sustainable management of agricultural land in changing climate conditions. Land, 11, (4), 1-11. https://doi.org/10.3390/land11040467.
Silva, L.F.; Battazza, A.; Souza, N.F.; Fagundes, N.; Souza, D.; Rocha, N.S., 2022. Impactos das ações antrópicas aos biomas do Brasil: artigo de revisão. Meio Ambiente (Brasil), v. 4, (1), 21-44. ISSN: 2675-3065
Silva, T.C.M.; Vieira, I.C.G.; Thalês, M.C., 2021. Spatial-temporal evolution of landscape degradation on the Guamá river basin, Brazil. Brazilian Journal of Environmental Sciences (RBCIAMB), v. 56, (3), 480-490. https://doi.org/10.5327/Z21769478942
Sinshaw, B G.; Belete, A.M.; Tefera, A.K.; Dessie, A.B.; Bizuneh, B.B.; Alem, H.T.; Atanaw, S.B.; Eshete, D.G.; Wubetu, T.G.; Atinkut, H.B.; Moges, M.A., 2021. Prioritization of potential soil erosion susceptibility region using fuzzy logic and analytical hierarchy process, Upper Blue Nile basin, Ethiopia. Water-Energy Nexus, v. 4, 10-24. https://doi.org/10.1016/j.wen.2021.01.001
Siqueira, R.G.; Lima, V.C.; Souza, J.J.L.L. 2017. Análise quantitativa da variabilidade espacial da densidade de drenagem com o estimador de densidade de Kernel em ambiente SIG. Anais do XVIII Simpósio Brasileiro de Sensoriamento Remoto, 28-31 de Maio de 2017, INPE, Santos-SP (Accessed November 11, 2022) at:. https://proceedings.science/sbsr/papers/analise-quantitativa-da-variabilidade-espacial-da-densidade-de-drenagem-com-o-estimador-de-densidade-de-kernel-em-ambien?lang=pt-br
Teshome, D.S.; Moisa, M.B.; Gemeda, D.O.; You, S., 2022. Effect of land use-land cover change on soil erosion and sediment yield in Muger sub-basin, Upper Blue Nile basin, Ethiopia. Land, v. 11, (12), 1-20. https://doi.org/10.3390/land11122173
Towner, J.; Cloke, H.L.; Lavado, W.; Santini, W.; Bazo, J.; Perez, E.C.; Stephens, E.M., 2020. Attribution of Amazon floods to modes of climate variability: a review. Meteorological Applications, v. 27, (5), 1-36. https://doi.org/10.1002/met.1949
Tricart, J., 1977. Ecodynamics (Accessed December 01, 2022) at:. http://biblioteca.ibge.gov.br/visualizacao/monografias/GEBIS-RJ/ecodinamica.pdf
Volken, N.J.; Minoti, R.T.; Alves, C.M.A.; Vergara, F.E., 2022. Analyzing the impact of agricultural water-demand management on water availability in the Urubu river basin – Tocantins, Brazil. Ambiente & Água – An Interdisciplinary Journal of Applied Science, v. 17, (4), 1-23. https://doi.org/10.4136/ambi-agua.2847
Yasarer, L.M.W.; Taylor, J.M.; Rigby, J.R.; Locke, M.A., 2020. Trends in land use, irrigation, and streamflow alteration in the Mississippi river alluvial plain. Frontiers in Environmental Science, v. 8, (66), 1-13. https://doi.org/10.3389/fenvs.2020.00066
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Brazilian Journal of Environmental Sciences (RBCIAMB)
This work is licensed under a Creative Commons Attribution 4.0 International License.
