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• W2774561573 abstract "Abstract Aims To apply the Landscape Reconstruction Algorithm (LRA) to pollen count data from multiple sites to estimate local vegetation abundance and compare with charcoal‐derived records of burning. Location Exmoor, southwest England, UK. Methods Pollen count data from 16 sites were transformed to estimates of distance‐weighted vegetation abundance using the LRA (REVEALS and LOVE models), correcting for bias in pollen production and dispersal. Charcoal concentration data from six sites were normalized using Box‐Cox transformation to produce z ‐scores. Moving‐window correlation was undertaken to compare pollen percentage values for key taxa ( Calluna , Poaceae) and localized burning. Estimates of distance‐vegetation abundance (LRA output) and time‐averaged charcoal z ‐scores were compared to assess the role of burning as a driver for upland vegetation cover. Results Comparison of pollen percentage and normalized charcoal z ‐scores show little correlation between vegetation cover and burning. Estimates of distance‐weighted vegetation abundance and normalized charcoal data show relationships between vegetation change and burning at four of the six sites. The relationships are site‐specific: three sites suggest burning promoted grass‐dominated vegetation, at one site burning promoted heather‐dominated vegetation, and in two sites there is no apparent relationship. Conclusions The patterning of vegetation within uplands is a crucial part of ecosystem service delivery, and contemporary and future management benefits from understanding of ‘long‐term’ development, i.e. patterns over millennia. The correction of biases within pollen production and dispersal to produce local vegetation estimates has demonstrated spatial heterogeneity in vegetation cover on Exmoor that is not otherwise evident in the pollen percentage data (which retain a strong influence of the regional vegetation cover). The relationship between LRA‐derived vegetation cover and burning is not apparent in comparisons between pollen percentage data and charcoal records. This implies that studies that use pollen proportional data alone can misrepresent the relationship between vegetation cover and fire. This study demonstrates that fire has been an important part of the development of this cultural landscape." @default.
• W2774561573 created "2017-12-22" @default.
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• W2774561573 date "2018-02-15" @default.
• W2774561573 modified "2023-10-14" @default.
• W2774561573 title "Quantified moorland vegetation and assessment of the role of burning over the past five millennia" @default.
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• W2774561573 doi "https://doi.org/10.1111/jvs.12594" @default.
• W2774561573 hasPublicationYear "2018" @default.
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