以湿地为主地区的季节性和火灾后恢复:来自阿根廷北部卫星数据分析的见解

IF 3.8 Q2 ENVIRONMENTAL SCIENCES
Griselda Isabel Saucedo , Ditmar Bernardo Kurtz
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引用次数: 0

摘要

科学文献表明,气候变化正在推动全球野火的增加。本研究在阿根廷北部以湿地为主的地区进行,目的是:i)分析2001年至2022年间烧毁面积的月度和年度变化;Ii)确定考虑年际变化的火灾频率;Iii)按季节和受影响的植被覆盖划分火灾频率的特征;iv)评估2022年特大火灾事件后的生态系统恢复。我们发现,在研究期间,80,728平方公里的森林被烧毁,在冬季结束时季节性地集中了零星的火灾。然而,在干旱期之后的夏季,观察到更大的烧伤区域。据记录,该省中东部和西北部的烧伤地区最严重。71%的烧伤地区至少经历过一次火灾,29%的地区复发率增加。基于植被覆盖和季节变化的火灾活动差异表明,草地和湿地在夏季和冬季特别容易发生火灾。2022年的非典型火灾恰逢生长季节的高峰期,导致典型植被格局的物候变化。同样,由于当时的气候条件,在未燃烧的植被中也观察到类似的模式。火灾后降水对植被恢复的促进作用主要表现为:草地、湿地和原生林在火灾后呈指数型恢复,初始恢复阶段为快速恢复阶段;相比之下,人工林的恢复非常低。随着未来气候变化趋势的加剧,人为和自然野火可能对不同类型的土地覆盖表现出不同的影响。该研究为该地区火灾的时空变化和恢复动态提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Seasonality and post fire recovery in a wetland dominated region: Insights from satellite data analysis in northern Argentina

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 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.
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来源期刊
CiteScore
8.00
自引率
8.50%
发文量
204
审稿时长
65 days
期刊介绍: The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems
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