2021
DOI: 10.1016/j.scitotenv.2020.142280
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A comprehensive calibrated phytolith based climatic index from the Himalaya and its application in palaeotemperature reconstruction

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Cited by 19 publications
(13 citation statements)
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“…It is worth mentioning that in the Himalayan grasses BIL, CRO, SAD, SAD_TAL, SAD_COL, TRZ, and RON types show significant elevational trends 50 , 51 . The BIL, CRO, and SAD types are predominant in the grasses of the tropical and sub-tropical zones, while the TRZ and RON types are dominant within the grasses of the sub-tropical/temperate zone and upwards.…”
Section: Discussionmentioning
confidence: 99%
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“…It is worth mentioning that in the Himalayan grasses BIL, CRO, SAD, SAD_TAL, SAD_COL, TRZ, and RON types show significant elevational trends 50 , 51 . The BIL, CRO, and SAD types are predominant in the grasses of the tropical and sub-tropical zones, while the TRZ and RON types are dominant within the grasses of the sub-tropical/temperate zone and upwards.…”
Section: Discussionmentioning
confidence: 99%
“…Based on the analysis of the modern Bambusoideae phytolith it is apparent that there is wide variability in the phytolith production patterns within the Bambusoideae. No ‘diagnostic morphotype’ or ‘assemblages’ could be ascertained for this sub-family 50 , 51 due to the high diversity and redundancy of the morphotypes present in the dung samples. The redundancy of grass phytolith types among different taxa also limits the identification of the most preferred bamboo taxa in the diet of the red panda.…”
Section: Discussionmentioning
confidence: 99%
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“…Extratropical trees produce only a small amount of diagnostic phytoliths (e.g., Wang and Lu, 1993 ; Lu et al, 2006 ), and arboreal species from subtropical and temperate zones produce similar diagnostic types (e.g., Wang and Lu, 1993 ; Lu et al, 2006 ; Gao et al, 2018 ; Wen et al, 2018 ). Consequently, in extratropical forests where open-habitat grasses are absent or uncommon, very few topsoil-based phytolith–vegetation relationship calibrations are available (e.g., An et al, 2015 ; Dunn et al, 2015 ; Biswas et al, 2021 ; Pei et al, 2021 ), underscoring that extratropical region-specific calibration is still of great importance for future global dataset comparisons.…”
Section: Introductionmentioning
confidence: 99%