Seasonality and post fire recovery in a wetland dominated region: Insights from satellite data analysis in northern Argentina
Scientific literature indicates that climate change is driving an increase in wildfires globally. This study was done on a wetland dominated area in Northern Argentina and aims to, i) analyze the monthly and annual variability of burned areas between 2001 and 2022; ii) identify the fire frequency co...
| Main Authors: | , |
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| Format: | info:ar-repo/semantics/artículo |
| Language: | Inglés |
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Elsevier
2025
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| Online Access: | http://hdl.handle.net/20.500.12123/22938 https://www.sciencedirect.com/science/article/abs/pii/S2352938525000333 https://doi.org/10.1016/j.rsase.2025.101480 |
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| author | Saucedo, Griselda Isabel Kurtz, Ditmar Bernardo |
| author_browse | Kurtz, Ditmar Bernardo Saucedo, Griselda Isabel |
| author_facet | Saucedo, Griselda Isabel Kurtz, Ditmar Bernardo |
| author_sort | Saucedo, Griselda Isabel |
| collection | INTA Digital |
| description | Scientific literature indicates that climate change is driving an increase in wildfires globally. This study was done on a wetland dominated area in Northern Argentina and aims to, i) analyze the monthly and annual variability of burned areas between 2001 and 2022; ii) identify the fire frequency considering inter annual variability; iii) characterize the frequency of fires by season and the affected vegetation cover; and iv) evaluate the ecosystems recovery following the mega fire events of 2022. We found that 80,728 km2 burned during the study period, with a seasonal concentration of patchy fires at the end of winter. However, larger burned areas were observed in summer, following dry periods. The highest concentration of burned areas was recorded in the central-east and northwest of the province. 71% of the burned areas experienced at least one fire, while 29% showed increased recurrence. Differences in fire activity based on vegetation cover and seasonal changes revealed that grasslands and wetlands are particularly prone to burning during the summer and winter. The atypical fires of 2022, which coincided with the peak of the growing season, caused phenological shifts of the typical vegetation pattern. Likewise, an analogous pattern was observed in unburned vegetation, attributable to the prevailing climatic conditions. Post-fire precipitation spurred on vegetation recovery depending on the prevailing land cover as follows, grasslands, wetlands, and native forests showed exponential post-disturbance recovery, characterized by an initial rapid recovery phase. In contrast, cultivated forests exhibited very low recovery. As climate change trends intensify in the future, anthropogenic and natural wildfires may exhibit varying impacts on different types of land cover. This research provides novel insights into the spatial and temporal variability of fires and recovery dynamics for the region. |
| format | info:ar-repo/semantics/artículo |
| id | INTA22938 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INTA229382025-07-08T10:36:43Z Seasonality and post fire recovery in a wetland dominated region: Insights from satellite data analysis in northern Argentina Saucedo, Griselda Isabel Kurtz, Ditmar Bernardo Forests Grasslands Wetlands Satellite Imagery Bosques Praderas Tierras Húmedas Imágenes por Satélites Argentina Región Noreste, Argentina Scientific literature indicates that climate change is driving an increase in wildfires globally. This study was done on a wetland dominated area in Northern Argentina and aims to, i) analyze the monthly and annual variability of burned areas between 2001 and 2022; ii) identify the fire frequency considering inter annual variability; iii) characterize the frequency of fires by season and the affected vegetation cover; and iv) evaluate the ecosystems recovery following the mega fire events of 2022. We found that 80,728 km2 burned during the study period, with a seasonal concentration of patchy fires at the end of winter. However, larger burned areas were observed in summer, following dry periods. The highest concentration of burned areas was recorded in the central-east and northwest of the province. 71% of the burned areas experienced at least one fire, while 29% showed increased recurrence. Differences in fire activity based on vegetation cover and seasonal changes revealed that grasslands and wetlands are particularly prone to burning during the summer and winter. The atypical fires of 2022, which coincided with the peak of the growing season, caused phenological shifts of the typical vegetation pattern. Likewise, an analogous pattern was observed in unburned vegetation, attributable to the prevailing climatic conditions. Post-fire precipitation spurred on vegetation recovery depending on the prevailing land cover as follows, grasslands, wetlands, and native forests showed exponential post-disturbance recovery, characterized by an initial rapid recovery phase. In contrast, cultivated forests exhibited very low recovery. As climate change trends intensify in the future, anthropogenic and natural wildfires may exhibit varying impacts on different types of land cover. This research provides novel insights into the spatial and temporal variability of fires and recovery dynamics for the region. EEA Corrientes Fil: Saucedo, Griselda Isabel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Corrientes; Argentina Fil: Kurtz, Ditmar Bernardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Corrientes; Argentina 2025-07-08T10:19:25Z 2025-07-08T10:19:25Z 2025 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/22938 https://www.sciencedirect.com/science/article/abs/pii/S2352938525000333 2352-9385 https://doi.org/10.1016/j.rsase.2025.101480 eng info:eu-repograntAgreement/INTA/2023-PE-L03-I043, Monitoreo y accionar regenerativo por la gestión de los recursos naturales del Nea info:eu-repograntAgreement/INTA/2023-PD-L03-I131, Determinación de usos productivos, valoración económica y recomendaciones participativas para la gestión sostenible de los humedales info:eu-repo/semantics/restrictedAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Corrientes .......... (province) (World, South America, Argentina) 1001210 Elsevier Remote Sensing Applications: Society and Environment 37 : 101480. (January 2025) |
| spellingShingle | Forests Grasslands Wetlands Satellite Imagery Bosques Praderas Tierras Húmedas Imágenes por Satélites Argentina Región Noreste, Argentina Saucedo, Griselda Isabel Kurtz, Ditmar Bernardo Seasonality and post fire recovery in a wetland dominated region: Insights from satellite data analysis in northern Argentina |
| title | Seasonality and post fire recovery in a wetland dominated region: Insights from satellite data analysis in northern Argentina |
| title_full | Seasonality and post fire recovery in a wetland dominated region: Insights from satellite data analysis in northern Argentina |
| title_fullStr | Seasonality and post fire recovery in a wetland dominated region: Insights from satellite data analysis in northern Argentina |
| title_full_unstemmed | Seasonality and post fire recovery in a wetland dominated region: Insights from satellite data analysis in northern Argentina |
| title_short | Seasonality and post fire recovery in a wetland dominated region: Insights from satellite data analysis in northern Argentina |
| title_sort | seasonality and post fire recovery in a wetland dominated region insights from satellite data analysis in northern argentina |
| topic | Forests Grasslands Wetlands Satellite Imagery Bosques Praderas Tierras Húmedas Imágenes por Satélites Argentina Región Noreste, Argentina |
| url | http://hdl.handle.net/20.500.12123/22938 https://www.sciencedirect.com/science/article/abs/pii/S2352938525000333 https://doi.org/10.1016/j.rsase.2025.101480 |
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