Evidence map›Paper›PMID 39899503›Full record

ArticlePloS one2025

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

Oswaldo Maillard, Natasha Ribeiro, Amanda Armstrong, Ana I Ribeiro-Barros, Samora Macrice Andrew, Lucy Amissah, Zeinab Shirvani, Jonathan Muledi, Omid Abdi, Huascar Azurduy and 4 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Oswaldo MaillardFundación para la Conservación del Bosque Chiquitano, Santa Cruz, Bolivia.ORCID 0000-0002-8833-2004
Natasha RibeiroCollege of Agriculture and Forestry, University of Eduardo Mondlane, Maputo, Mozambique.
Amanda ArmstrongEarth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland, United States of America.
Ana I Ribeiro-BarrosForest Research Centre, Associate Laboratory TERRA, School of Agriculture, University of Lisbon, Lisbon, Portugal.
Samora Macrice AndrewCollege of Natural and Applied Sciences, University of Dar es Salaam, Dar es Salaam, Tanzania.
Lucy AmissahCSIR-Forestry Research Institute of Ghana, Kumasi, Ghana.
Zeinab ShirvaniDivision of Geoinformatics, KTH Royal Institute of Technology, Stockholm, Sweden.
Jonathan MulediEcologie, Restauration Ecologique et Paysage, Faculté des sciences agronomiques et environnement, Université de Lubumbashi, Lubumbashi, République Démocratique du Congo.
Omid AbdiDepartment of Forest Sciences, University of Helsinki, Helsinki, Finland.
Huascar AzurduyFundación para la Conservación del Bosque Chiquitano, Santa Cruz, Bolivia.
João M N SilvaForest Research Centre, Associate Laboratory TERRA, School of Agriculture, University of Lisbon, Lisbon, Portugal.
Stephen SyampunganiORTARChI Chair of Environment and Development, Copperbelt University, Kitwe, Zambia.
Hastings ShamaomaCopperbelt University, School of Built Environment, Kitwe, Zambia.
Victorino BuramugeCollege of Agriculture and Forestry, University of Eduardo Mondlane, Maputo, Mozambique.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

FiresSeasonsWildfiresAfricaClimate ChangeForestsSpatio-Temporal Analysis

Identifiers

PMID39899503
PMCPMC11790127

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.