气候变化领域集成服务门户(CCPortal): A New Automatic Statistical Microcharcoal Analysis Method Based on Image Processing, Demonstrated in the Weiyuan Section, Northwest China

CCPortal

DOI	10.3389/feart.2021.609916
	A New Automatic Statistical Microcharcoal Analysis Method Based on Image Processing, Demonstrated in the Weiyuan Section, Northwest China
	Zou, Yaguo; Miao, Yunfa; Yang, Shiling; Zhao, Yongtao; Wang, Zisha; Tang, Guoqian; Yang, Shengli
通讯作者	Miao, YF (通讯作者)，Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Desert & Desertificat, Lanzhou, Peoples R China. ; Miao, YF (通讯作者)，Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China. ; Miao, YF (通讯作者)，Chinese Acad Sci, Inst Tibetan Plateau Res, Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China.
发表日期	2021
EISSN	2296-6463
卷号	9
英文摘要	Microcharcoal is a proxy of biomass burning and widely used in paleoenvironment research to reconstruct the fire history, which is influenced by the climate and land cover changes of the past. At present, microcharcoal characteristics (amount, size, shape) are commonly quantified by visual inspection, which is a precise but time-consuming approach. A few computer-assisted methods have been developed, but with an insufficient degree of automation. This paper proposes a new methodology for microcharcoal statistical analysis based on digital image processing by ImageJ software, which improves statistical efficiency by 80-90%, and validation by manual statistical comparison. The method is then applied to reconstruct the fire-related environmental change in the Weiyuan loess section since about 40 thousand years before present (ka BP), northwest China with a semi-arid climate, found that the microcharcoal concentration is low in cold and dry climate and high in warm and humid climate. The two main contributions of this study are: 1) proposal of a new, reliable and high efficient automatic statistical method for microcharcoal analysis; and 2) using the new method in a semi-arid section, revealing the paleofire evolution patterns in the semi-arid region was mainly driven by the biomass rather than the aridity degree found in humid regions.
英文关键词	microcharcoal; paleofire; automatic statistics; vegetation; Late Pleistocene; loess
语种	英语
WOS研究方向	Geology
WOS类目	Geosciences, Multidisciplinary
WOS记录号	WOS:000626463800001
来源期刊	FRONTIERS IN EARTH SCIENCE
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/254395
作者单位	[Zou, Yaguo; Miao, Yunfa; Zhao, Yongtao; Wang, Zisha] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Desert & Desertificat, Lanzhou, Peoples R China; [Zou, Yaguo; Miao, Yunfa; Wang, Zisha] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China; [Miao, Yunfa] Chinese Acad Sci, Inst Tibetan Plateau Res, Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China; [Yang, Shiling] Chinese Acad Sci, Inst Geol & Geophys, Key Lab Cenozo Geol & Environm, Beijing, Peoples R China; [Yang, Shiling] CAS Ctr Excellence Life & Paleoenvironm, Beijing, Peoples R China; [Yang, Shiling] Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China; [Tang, Guoqian; Yang, Shengli] Lanzhou Univ, Coll Earth & Environm Sci, Minist Educ, Key Lab Western Chinas Environm Syst, Lanzhou, Peoples R China
推荐引用方式 GB/T 7714	Zou, Yaguo,Miao, Yunfa,Yang, Shiling,et al. A New Automatic Statistical Microcharcoal Analysis Method Based on Image Processing, Demonstrated in the Weiyuan Section, Northwest China[J]. 中国科学院西北生态环境资源研究院,2021,9.
APA	Zou, Yaguo.,Miao, Yunfa.,Yang, Shiling.,Zhao, Yongtao.,Wang, Zisha.,...&Yang, Shengli.(2021).A New Automatic Statistical Microcharcoal Analysis Method Based on Image Processing, Demonstrated in the Weiyuan Section, Northwest China.FRONTIERS IN EARTH SCIENCE,9.
MLA	Zou, Yaguo,et al."A New Automatic Statistical Microcharcoal Analysis Method Based on Image Processing, Demonstrated in the Weiyuan Section, Northwest China".FRONTIERS IN EARTH SCIENCE 9(2021).