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DOI10.1016/j.ecoinf.2024.102552
Using mixed-method analytical historical ecology to map land use and land cover change for ecocultural restoration in the Klamath River Basin (Northern California)
Eitzel, M. V.; Sarna-Wojcicki, Daniel; Hogan, Sean; Sowerwine, Jennifer; Mucioki, Megan; McCovey, Kathy; Bourque, Shawn; Hillman, Leaf; Morehead-Hillman, Lisa; Lake, Frank; Preston, Vikki; Hillman, Chook-Chook; Lyons, Andy; Tripp, Bill
发表日期2024
ISSN1574-9541
EISSN1878-0512
起始页码81
卷号81
英文摘要Ecocultural restoration involves the reciprocal repair of ecosystems and revitalization of cultural practices to enhance their mutual resilience to natural and anthropogenic disturbances and climate change stressors. Resilient ecocultural systems are adapted to retain structure and function in the face of disturbances that remain within historical ranges of severity. To assist in ecocultural restoration and management, understanding how a system has historically responded to different types of disturbances is therefore invaluable in understanding how social -ecological resilience can be maintained in the face of future stressors and disturbances. However, records of disturbances and ecocultural responses can be limited for certain landscapes and human communities. In this methods paper, we demonstrate a mixed -method process for integrating oral history, field -based knowledge, archival information, and historical and contemporary aerial images to gain insight into the changes on the Klamath River in Northern California from the 1940s through 2020. We georegistered historical imagery, quantified changes between land cover classes, and contextualized these classifications with qualitative assessments of changes in larger surrounding areas. By synthesizing these data sources with field measurements, mining and other land survey maps, timber management plans, fire and flood histories, and interviews with members of the Karuk Tribe, we were able to reconstruct the land use and land cover change histories at five sites. We noted that recovery of canopy cover from fire and logging practices was faster than for flood, which was faster than recovery from mining, consistent with the relative severity of likely soil disturbance. By combining different sources of information with complementary strengths, we were able to provide managers with sitespecific information on recovery from different types of disturbance. Though this approach was laborintensive, with emerging tools for supervised classification of high -resolution imagery, mixed -method analytical historical ecology could be applied more broadly, supporting ecocultural restoration on a larger scale.
英文关键词Analytical historical ecology; Manual photo interpretation; Mixed methods; Ethnographic research; Archival research; Historical aerial imagery; Ecocultural restoration; Change detection; Land use change; Land cover change
语种英语
WOS研究方向Environmental Sciences & Ecology
WOS类目Ecology
WOS记录号WOS:001218202300001
来源期刊ECOLOGICAL INFORMATICS
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/304453
作者单位University of California System; University of California Davis; University of California System; University of California Berkeley; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; United States Department of Agriculture (USDA)
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Eitzel, M. V.,Sarna-Wojcicki, Daniel,Hogan, Sean,et al. Using mixed-method analytical historical ecology to map land use and land cover change for ecocultural restoration in the Klamath River Basin (Northern California)[J],2024,81.
APA Eitzel, M. V..,Sarna-Wojcicki, Daniel.,Hogan, Sean.,Sowerwine, Jennifer.,Mucioki, Megan.,...&Tripp, Bill.(2024).Using mixed-method analytical historical ecology to map land use and land cover change for ecocultural restoration in the Klamath River Basin (Northern California).ECOLOGICAL INFORMATICS,81.
MLA Eitzel, M. V.,et al."Using mixed-method analytical historical ecology to map land use and land cover change for ecocultural restoration in the Klamath River Basin (Northern California)".ECOLOGICAL INFORMATICS 81(2024).
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