Seasonal spatial-temporal trends of vegetation recovery in burned areas across Africa.

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 obj...

Full description

Saved in:
Bibliographic Details
Main Authors: Oswaldo Maillard, Natasha Ribeiro, Amanda Armstrong, Ana I Ribeiro-Barros, Samora Macrice Andrew, Lucy Amissah, Zeinab Shirvani, Jonathan Muledi, Omid Abdi, Huascar Azurduy, João M N Silva, Stephen Syampungani, Hastings Shamaoma, Victorino Buramuge
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0316472
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1825206773689090048
author Oswaldo Maillard
Natasha Ribeiro
Amanda Armstrong
Ana I Ribeiro-Barros
Samora Macrice Andrew
Lucy Amissah
Zeinab Shirvani
Jonathan Muledi
Omid Abdi
Huascar Azurduy
João M N Silva
Stephen Syampungani
Hastings Shamaoma
Victorino Buramuge
author_facet Oswaldo Maillard
Natasha Ribeiro
Amanda Armstrong
Ana I Ribeiro-Barros
Samora Macrice Andrew
Lucy Amissah
Zeinab Shirvani
Jonathan Muledi
Omid Abdi
Huascar Azurduy
João M N Silva
Stephen Syampungani
Hastings Shamaoma
Victorino Buramuge
author_sort Oswaldo Maillard
collection DOAJ
description 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.
format Article
id doaj-art-24c734d1714e44b9acb1ba7ebcd2d42d
institution Kabale University
issn 1932-6203
language English
publishDate 2025-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj-art-24c734d1714e44b9acb1ba7ebcd2d42d2025-02-07T05:30:57ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01202e031647210.1371/journal.pone.0316472Seasonal spatial-temporal trends of vegetation recovery in burned areas across Africa.Oswaldo MaillardNatasha RibeiroAmanda ArmstrongAna I Ribeiro-BarrosSamora Macrice AndrewLucy AmissahZeinab ShirvaniJonathan MulediOmid AbdiHuascar AzurduyJoão M N SilvaStephen SyampunganiHastings ShamaomaVictorino BuramugeAfrica 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.https://doi.org/10.1371/journal.pone.0316472
spellingShingle Oswaldo Maillard
Natasha Ribeiro
Amanda Armstrong
Ana I Ribeiro-Barros
Samora Macrice Andrew
Lucy Amissah
Zeinab Shirvani
Jonathan Muledi
Omid Abdi
Huascar Azurduy
João M N Silva
Stephen Syampungani
Hastings Shamaoma
Victorino Buramuge
Seasonal spatial-temporal trends of vegetation recovery in burned areas across Africa.
PLoS ONE
title Seasonal spatial-temporal trends of vegetation recovery in burned areas across Africa.
title_full Seasonal spatial-temporal trends of vegetation recovery in burned areas across Africa.
title_fullStr Seasonal spatial-temporal trends of vegetation recovery in burned areas across Africa.
title_full_unstemmed Seasonal spatial-temporal trends of vegetation recovery in burned areas across Africa.
title_short Seasonal spatial-temporal trends of vegetation recovery in burned areas across Africa.
title_sort seasonal spatial temporal trends of vegetation recovery in burned areas across africa
url https://doi.org/10.1371/journal.pone.0316472
work_keys_str_mv AT oswaldomaillard seasonalspatialtemporaltrendsofvegetationrecoveryinburnedareasacrossafrica
AT natasharibeiro seasonalspatialtemporaltrendsofvegetationrecoveryinburnedareasacrossafrica
AT amandaarmstrong seasonalspatialtemporaltrendsofvegetationrecoveryinburnedareasacrossafrica
AT anairibeirobarros seasonalspatialtemporaltrendsofvegetationrecoveryinburnedareasacrossafrica
AT samoramacriceandrew seasonalspatialtemporaltrendsofvegetationrecoveryinburnedareasacrossafrica
AT lucyamissah seasonalspatialtemporaltrendsofvegetationrecoveryinburnedareasacrossafrica
AT zeinabshirvani seasonalspatialtemporaltrendsofvegetationrecoveryinburnedareasacrossafrica
AT jonathanmuledi seasonalspatialtemporaltrendsofvegetationrecoveryinburnedareasacrossafrica
AT omidabdi seasonalspatialtemporaltrendsofvegetationrecoveryinburnedareasacrossafrica
AT huascarazurduy seasonalspatialtemporaltrendsofvegetationrecoveryinburnedareasacrossafrica
AT joaomnsilva seasonalspatialtemporaltrendsofvegetationrecoveryinburnedareasacrossafrica
AT stephensyampungani seasonalspatialtemporaltrendsofvegetationrecoveryinburnedareasacrossafrica
AT hastingsshamaoma seasonalspatialtemporaltrendsofvegetationrecoveryinburnedareasacrossafrica
AT victorinoburamuge seasonalspatialtemporaltrendsofvegetationrecoveryinburnedareasacrossafrica