Maillard Oswaldo, Ribeiro Natasha, Armstrong Amanda, Ribeiro-Barros Ana I, Andrew Samora Macrice, Amissah Lucy, Shirvani Zeinab, Muledi Jonathan, Abdi Omid, Azurduy Huascar, Silva João M N, Syampungani Stephen, Shamaoma Hastings, Buramuge Victorino
Fundación para la Conservación del Bosque Chiquitano, Santa Cruz, Bolivia.
College of Agriculture and Forestry, University of Eduardo Mondlane, Maputo, Mozambique.
PLoS One. 2025 Feb 3;20(2):e0316472. doi: 10.1371/journal.pone.0316472. eCollection 2025.
Africa is entering a new fire paradigm, with climate change and increasing anthropogenic pressure shifting the patterns of frequency and severity. Thus, it is crucial to use available information and technologies to understand vegetation dynamics during the post-fire recovery processes. The main objective of this study was to evaluate the seasonal spatio-temporal trends of vegetation recovery in response to fires across Africa, from 2001 to 2020. Non-parametric tests were used to analyze MODIS Normalized Difference Vegetation Index (NDVI) products comparing the following three-month seasonal periods: December-February (DJF), March-May (MAM), June-August (JJA), and September-November (SON). We evaluated the seasonal spatial trends of NDVI in burned areas by hemisphere, territory, or country, and by land cover types, and fire recurrences, with a focus on forested areas. The relationships between the seasonal spatial trend and three climatic variables (i.e. maximum air temperature, precipitation, and vapor pressure deficit) were then analyzed. For the 8.7 million km2 burned in Africa over the past 22 years, we observed several seasonal spatial trends of NDVI. The highest proportions of areas with increasing trend (p < 0.05) was recorded in MAM for both hemispheres, with 22.0% in the Northern Hemisphere and 17.4% in the Southern Hemisphere. In contrast, areas with decreasing trends (p < 0.05), showed 4.8-5.5% of burned area in the Northern Hemisphere, peaking in JJA, while the Southern Hemisphere showed a range of 7.1 to 10.9% with the highest proportion also in JJA. Regarding land cover types, 48.0% of fires occurred in forests, 24.1% in shrublands, 16.6% in agricultural fields, and 8.9% in grasslands/savannas. Consistent with the overall trend, the area exhibiting an increasing trend in NDVI values (p < 0.05) within forested regions had the highest proportion in MAM, with 19.9% in the Northern Hemisphere and 20.6% in the Southern Hemisphere. Conversely, the largest decreasing trend (p < 0.05) was observed in DJF in the Northern Hemisphere (2.7-2.9%) and in JJA in the Southern Hemisphere (7.2-10.4%). Seasonally, we found a high variability of regeneration trends of forested areas based on fire recurrences. In addition, we found that of the three climatic variables, increasing vapor pressure deficit values were more related to decreasing NDVI levels. These results indicate a strong component of seasonality with respect to fires, trends of vegetation increase or decrease in the different vegetation covers of the African continent, and they contribute to the understanding of climatic conditions that contribute to vegetation recovery. This information is helpful for researchers and decision makers to act on specific sites during restoration processes.
非洲正在进入一个新的火灾模式,气候变化和日益增加的人为压力正在改变火灾发生频率和严重程度的模式。因此,利用现有信息和技术来了解火灾后恢复过程中的植被动态至关重要。本研究的主要目的是评估2001年至2020年期间非洲各地火灾后植被恢复的季节性时空趋势。使用非参数检验分析中分辨率成像光谱仪(MODIS)归一化植被指数(NDVI)产品,比较以下三个月的季节时段:12月至2月(DJF)、3月至5月(MAM)、6月至8月(JJA)和9月至11月(SON)。我们按半球、地区或国家以及土地覆盖类型和火灾复发情况评估了烧毁地区NDVI的季节性空间趋势,重点关注森林地区。然后分析了季节性空间趋势与三个气候变量(即最高气温、降水量和水汽压差)之间的关系。在过去22年中,非洲有870万平方公里的土地被烧毁,我们观察到了NDVI的几种季节性空间趋势。两个半球在MAM时段记录到趋势增加(p<0.05)的地区比例最高,北半球为22.0%,南半球为17.4%。相比之下,趋势下降(p<0.05)的地区在北半球占烧毁面积的4.8 - 5.5%,在JJA时段达到峰值,而南半球的范围为7.1%至10.9%,最高比例也出现在JJA时段。关于土地覆盖类型,48.0%的火灾发生在森林,24.1%在灌丛,16.6%在农田,8.9%在草原/稀树草原。与总体趋势一致,森林地区NDVI值呈上升趋势(p<0.05)的面积比例在MAM时段最高,北半球为19.9%,南半球为20.6%。相反,北半球在DJF时段(2.7 - 2.9%)和南半球在JJA时段(7.2 - 10.4%)观察到最大的下降趋势(p<0.05)。季节性地,我们发现基于火灾复发情况,森林地区的再生趋势存在很大差异。此外,我们发现,在这三个气候变量中,水汽压差增加的值与NDVI水平下降的相关性更强。这些结果表明,火灾具有很强的季节性成分,非洲大陆不同植被覆盖类型的植被增加或减少趋势明显,有助于理解促进植被恢复的气候条件。这些信息有助于研究人员和决策者在恢复过程中针对特定地点采取行动。