• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

非洲 burned 地区植被恢复的季节性时空趋势。 注:这里原文中的“burned”可能是“burned”的拼写错误,正确拼写应为“burned”,意为“燃烧过的、被烧毁的” ,结合语境推测这里可能是指经历过火灾的地区。如果是这样,更准确的译文为:非洲火灾地区植被恢复的季节性时空趋势。

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

作者信息

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

机构信息

Fundación para la Conservación del Bosque Chiquitano, Santa Cruz, Bolivia.

College of Agriculture and Forestry, University of Eduardo Mondlane, Maputo, Mozambique.

出版信息

PLoS One. 2025 Feb 3;20(2):e0316472. doi: 10.1371/journal.pone.0316472. eCollection 2025.

DOI:10.1371/journal.pone.0316472
PMID:39899503
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11790127/
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.

摘要

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93d/11790127/4b16397f4b88/pone.0316472.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93d/11790127/db5e5590be90/pone.0316472.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93d/11790127/693fd37cc5d4/pone.0316472.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93d/11790127/e9919a379448/pone.0316472.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93d/11790127/71ac730c3319/pone.0316472.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93d/11790127/e6cca170b1ea/pone.0316472.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93d/11790127/f42ab922ac3d/pone.0316472.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93d/11790127/14db2940118d/pone.0316472.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93d/11790127/cc0d547392c3/pone.0316472.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93d/11790127/92ba1ce52fe3/pone.0316472.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93d/11790127/4b16397f4b88/pone.0316472.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93d/11790127/db5e5590be90/pone.0316472.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93d/11790127/693fd37cc5d4/pone.0316472.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93d/11790127/e9919a379448/pone.0316472.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93d/11790127/71ac730c3319/pone.0316472.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93d/11790127/e6cca170b1ea/pone.0316472.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93d/11790127/f42ab922ac3d/pone.0316472.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93d/11790127/14db2940118d/pone.0316472.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93d/11790127/cc0d547392c3/pone.0316472.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93d/11790127/92ba1ce52fe3/pone.0316472.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f93d/11790127/4b16397f4b88/pone.0316472.g010.jpg

相似文献

1
Seasonal spatial-temporal trends of vegetation recovery in burned areas across Africa.非洲 burned 地区植被恢复的季节性时空趋势。 注:这里原文中的“burned”可能是“burned”的拼写错误,正确拼写应为“burned”,意为“燃烧过的、被烧毁的” ,结合语境推测这里可能是指经历过火灾的地区。如果是这样,更准确的译文为:非洲火灾地区植被恢复的季节性时空趋势。
PLoS One. 2025 Feb 3;20(2):e0316472. doi: 10.1371/journal.pone.0316472. eCollection 2025.
2
Non-parametric spatiotemporal trends in fire: An approach to identify fire regimes variations and predict seasonal effects of fire in Iran.火灾的非参数时空趋势:一种识别伊朗火灾状况变化并预测火灾季节影响的方法。
PLoS One. 2025 Apr 4;20(4):e0319993. doi: 10.1371/journal.pone.0319993. eCollection 2025.
3
Analysis of vegetation dynamics, drought in relation with climate over South Asia from 1990 to 2011.分析 1990 年至 2011 年期间南亚的植被动态与气候干旱之间的关系。
Environ Sci Pollut Res Int. 2019 Apr;26(11):11470-11481. doi: 10.1007/s11356-019-04512-8. Epub 2019 Feb 26.
4
Fires dynamics in the Pantanal: Impacts of anthropogenic activities and climate change.潘塔纳尔湿地的火灾动态:人为活动和气候变化的影响。
J Environ Manage. 2021 Dec 1;299:113586. doi: 10.1016/j.jenvman.2021.113586. Epub 2021 Aug 25.
5
Distribution characteristics of vegetation fires in border areas of China from 2001 to 2022 based on MODIS fire spot data.基于MODIS热点数据的2001—2022年中国边境地区植被火灾分布特征
Ying Yong Sheng Tai Xue Bao. 2024 Nov;35(11):3095-3106. doi: 10.13287/j.1001-9332.202411.020.
6
Recovery Following Recurrent Fires Across Mediterranean Ecosystems.地中海生态系统反复火灾后的恢复情况。
Glob Chang Biol. 2024 Dec;30(12):e70013. doi: 10.1111/gcb.70013.
7
Biogeographic variability in wildfire severity and post-fire vegetation recovery across the European forests via remote sensing-derived spectral metrics.通过遥感衍生光谱指标分析欧洲森林野火严重程度和火灾后植被恢复的生物地理变异性。
Sci Total Environ. 2022 Jun 1;823:153807. doi: 10.1016/j.scitotenv.2022.153807. Epub 2022 Feb 9.
8
Remote sensing of vegetation conditions after post-fire mulch treatments.火灾后覆盖物处理后植被状况的遥感。
J Environ Manage. 2020 Apr 15;260:109993. doi: 10.1016/j.jenvman.2019.109993. Epub 2020 Jan 21.
9
Historical spatiotemporal changes in fire danger potential across biomes.各生物群落火灾危险潜力的历史时空变化。
Sci Total Environ. 2023 Apr 20;870:161954. doi: 10.1016/j.scitotenv.2023.161954. Epub 2023 Feb 2.
10
Spatiotemporal analysis of wildfires and their relationship with climate and land use in the Gran Chaco and Pantanal ecoregions.格兰查科和潘塔纳尔生态区的野火时空分析及其与气候和土地利用的关系。
Sci Total Environ. 2024 Dec 10;955:176823. doi: 10.1016/j.scitotenv.2024.176823. Epub 2024 Oct 16.

本文引用的文献

1
Mapping the diversity of land uses following deforestation across Africa.绘制非洲各地毁林后土地利用多样性图谱。
Sci Rep. 2024 Jan 19;14(1):1681. doi: 10.1038/s41598-024-52138-9.
2
Spatial-temporal dynamics of land surface phenology over Africa for the period of 1982-2015.1982 - 2015年非洲陆地表面物候的时空动态
Heliyon. 2023 Jun 7;9(6):e16413. doi: 10.1016/j.heliyon.2023.e16413. eCollection 2023 Jun.
3
Building a small fire database for Sub-Saharan Africa from Sentinel-2 high-resolution images.利用 Sentinel-2 高分辨率图像构建撒哈拉以南非洲小火数据库。
Sci Total Environ. 2022 Nov 1;845:157139. doi: 10.1016/j.scitotenv.2022.157139. Epub 2022 Jul 9.
4
Worldwide impacts of atmospheric vapor pressure deficit on the interannual variability of terrestrial carbon sinks.大气水汽压亏缺对陆地碳汇年际变化的全球影响。
Natl Sci Rev. 2021 Aug 20;9(4):nwab150. doi: 10.1093/nsr/nwab150. eCollection 2022 Apr.
5
Large influence of atmospheric vapor pressure deficit on ecosystem production efficiency.大气水汽压亏缺对生态系统生产效率有很大影响。
Nat Commun. 2022 Mar 29;13(1):1653. doi: 10.1038/s41467-022-29009-w.
6
Post-fire summer rainfall differentially affects reseeder and resprouter population recovery in fire-prone shrublands of South Africa.夏季林火后降雨对南非易火灌丛中再萌芽型和再繁殖型种群恢复的影响存在差异。
Sci Total Environ. 2021 Sep 20;788:147699. doi: 10.1016/j.scitotenv.2021.147699. Epub 2021 May 13.
7
Human and climate drivers of global biomass burning variability.人为和气候因素对全球生物质燃烧变化的驱动作用。
Sci Total Environ. 2021 Jul 20;779:146361. doi: 10.1016/j.scitotenv.2021.146361. Epub 2021 Mar 17.
8
The role of fire in global forest loss dynamics.火灾在全球森林损失动态中的作用。
Glob Chang Biol. 2021 Jun;27(11):2377-2391. doi: 10.1111/gcb.15591. Epub 2021 Mar 27.
9
Fire and biodiversity in the Anthropocene.人类世的火灾与生物多样性。
Science. 2020 Nov 20;370(6519). doi: 10.1126/science.abb0355.
10
Global priority areas for ecosystem restoration.全球生态系统恢复的优先领域。
Nature. 2020 Oct;586(7831):724-729. doi: 10.1038/s41586-020-2784-9. Epub 2020 Oct 14.