Global Modern Charcoal Dataset (GMCD) : A tool for exploring proxy-fire linkages and spatial patterns of biomass burning
(2018) In Quaternary International 488. p.3-17- Abstract
Progresses in reconstructing Earth's history of biomass burning has motivated the development of a modern charcoal dataset covering the last decades through a community-based initiative called the Global Modern Charcoal Dataset (GMCD). As the frequency, intensity and spatial scale of fires are predicted to increase regionally and globally in conjunction with changing climate, anthropogenic activities and land-use patterns, there is an increasing need to further understand, calibrate and interrogate recent and past fire regimes as related to changing fire emissions and changing carbon sources and sinks. Discussions at the PAGES Global Paleofire Working Group workshop 2015, including paleoecologists, numerical modelers, statisticians,... (More)
Progresses in reconstructing Earth's history of biomass burning has motivated the development of a modern charcoal dataset covering the last decades through a community-based initiative called the Global Modern Charcoal Dataset (GMCD). As the frequency, intensity and spatial scale of fires are predicted to increase regionally and globally in conjunction with changing climate, anthropogenic activities and land-use patterns, there is an increasing need to further understand, calibrate and interrogate recent and past fire regimes as related to changing fire emissions and changing carbon sources and sinks. Discussions at the PAGES Global Paleofire Working Group workshop 2015, including paleoecologists, numerical modelers, statisticians, paleoclimatologists, archeologists, and anthropologists, identified an urgent need for an open, standardized, quality-controlled and globally representative dataset of modern sedimentary charcoal and other sediment-based fire proxies. This dataset fits into a gap between metrics of biomass burning indicators, current fire regimes and land cover, and carbon emissions inventories. The dataset will enable the calibration of paleofire data with other modern datasets including: data of satellite derived fire occurrence, vegetation patterns and species diversity, land cover change, and a range of sources capturing biochemical cycling. Standardized protocols are presented for collecting and analyzing sediment-based fire proxies, including charcoal, levoglucosan, black carbon, and soot. The GMCD will provide a publically-accessible repository of modern fire sediment surface samples in all terrestrial ecosystems. Sample collection and contributions to the dataset will be solicited from lacustrine, peat, marine, glacial, or other sediments, from a wide variety of ecosystems and geographic locations.
(Less)
- author
- publishing date
- 2018-09-20
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Biomass burning, Calibration, Dataset, Standardized methodologies, Surface sample, Vegetation
- in
- Quaternary International
- volume
- 488
- pages
- 15 pages
- publisher
- Pergamon Press Ltd.
- external identifiers
-
- scopus:85016470816
- ISSN
- 1040-6182
- DOI
- 10.1016/j.quaint.2017.03.046
- language
- English
- LU publication?
- no
- id
- ae034657-dee3-4383-9c24-74476e467155
- date added to LUP
- 2020-03-26 10:48:05
- date last changed
- 2022-03-03 07:00:58
@article{ae034657-dee3-4383-9c24-74476e467155,
abstract = {{<p>Progresses in reconstructing Earth's history of biomass burning has motivated the development of a modern charcoal dataset covering the last decades through a community-based initiative called the Global Modern Charcoal Dataset (GMCD). As the frequency, intensity and spatial scale of fires are predicted to increase regionally and globally in conjunction with changing climate, anthropogenic activities and land-use patterns, there is an increasing need to further understand, calibrate and interrogate recent and past fire regimes as related to changing fire emissions and changing carbon sources and sinks. Discussions at the PAGES Global Paleofire Working Group workshop 2015, including paleoecologists, numerical modelers, statisticians, paleoclimatologists, archeologists, and anthropologists, identified an urgent need for an open, standardized, quality-controlled and globally representative dataset of modern sedimentary charcoal and other sediment-based fire proxies. This dataset fits into a gap between metrics of biomass burning indicators, current fire regimes and land cover, and carbon emissions inventories. The dataset will enable the calibration of paleofire data with other modern datasets including: data of satellite derived fire occurrence, vegetation patterns and species diversity, land cover change, and a range of sources capturing biochemical cycling. Standardized protocols are presented for collecting and analyzing sediment-based fire proxies, including charcoal, levoglucosan, black carbon, and soot. The GMCD will provide a publically-accessible repository of modern fire sediment surface samples in all terrestrial ecosystems. Sample collection and contributions to the dataset will be solicited from lacustrine, peat, marine, glacial, or other sediments, from a wide variety of ecosystems and geographic locations.</p>}},
author = {{Hawthorne, Donna and Courtney Mustaphi, Colin J. and Aleman, Julie C. and Blarquez, Olivier and Colombaroli, Daniele and Daniau, Anne Laure and Marlon, Jennifer R. and Power, Mitchell and Vannière, Boris and Han, Yongming and Hantson, Stijn and Kehrwald, Natalie and Magi, Brian and Yue, Xu and Carcaillet, Christopher and Marchant, Rob and Ogunkoya, Ayodele and Githumbi, Esther N. and Muriuki, Rebecca M.}},
issn = {{1040-6182}},
keywords = {{Biomass burning; Calibration; Dataset; Standardized methodologies; Surface sample; Vegetation}},
language = {{eng}},
month = {{09}},
pages = {{3--17}},
publisher = {{Pergamon Press Ltd.}},
series = {{Quaternary International}},
title = {{Global Modern Charcoal Dataset (GMCD) : A tool for exploring proxy-fire linkages and spatial patterns of biomass burning}},
url = {{http://dx.doi.org/10.1016/j.quaint.2017.03.046}},
doi = {{10.1016/j.quaint.2017.03.046}},
volume = {{488}},
year = {{2018}},
}