The infection of pollen by zoosporic fungi in tropical soils and its impact on pollen preservation: A preliminary study

Phuphumirat, Wongkot; Gleason, Frank H.; Phongpaichit, Souwalak; Mildenhall, Dallas C.

doi:10.1127/0029-5035/2011/0092-0233

Cited by 13 publications

(8 citation statements)

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“…Biotic factors are, for instance, the intrusion of bacteria and fungi (e.g., Elsik 1971;Havinga 1971Havinga , 1984Skvarla et al 1997;Phuphumirat et al 2011). Abiotic factors include the pH-value of the substrate (e.g., Bryant and Hall 1993), oxidation/reduction (e.g., Twiddle and Bunting 2010), autoxidation by UV-light and oxygen (e.g., Jardine et al 2015), destruction due to mechanic impact, water or fire (Cushing 1967;Bryant et al 1994;Phuphumirat et al 2011Phuphumirat et al , 2015, and rapid changes in moisture levels (Halbritter and Hesse 2004). The preservation status and the amount of pollen and spores in sediments depends on several factors, including rapid anaerobic burial and embedding in mud or peat, absence of any microbial destruction or sapropel, and the exclusion of oxygen (Klaus 1960(Klaus , 1987Playford and Dettmann 1996;Traverse 1988Traverse , 2007.…”

Section: Structurementioning

confidence: 99%

Pollen Morphology and Ultrastructure

Halbritter

Ulrich

Grímsson

et al. 2018

Illustrated Pollen Terminology

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The study of pollen should encompass all structural and ornamental aspects of the grain. Pollen morphology is studied using LM and SEM and is important to visualize the general features of a pollen grain, including, e.g., symmetry, shape, size, aperture number and location, as well as ornamentation. TEM investigations are used to highlight the stratification and the uniqueness of pollen wall layers as well as cytoplasmic features. The following sections explain the most important structural and sculptural pollen features a palynologist should observe.

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Section: Structurementioning

confidence: 99%

Pollen Morphology and Ultrastructure

Halbritter

Ulrich

Grímsson

et al. 2018

Illustrated Pollen Terminology

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“…Phuphumirat et al (2015) also found that pollen degradation was enhanced in sediments with relatively low salinity and less acidic conditions. Bacterial and fungal activity can also degrade pollen grains (Phuphumirat et al, 2011). One or many of the processes suggested above could have resulted in post-depositional degradation of pollen grains at Grand Anse and Anse Boileau, creating the situation of extremely poor pollen preservation in surface sediments that we found in this study.…”

Section: Preservation Of Pollen In Mangrove Sedimentsmentioning

confidence: 65%

Assessing the use of mangrove pollen as a quantitative sea‐level indicator on Mahé, Seychelles

Sefton

Woodroffe

2021

J Quaternary Science

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We investigated the potential of mangrove pollen from Mahé, Seychelles, to improve existing metre‐scale Late Holocene sediment‐based sea‐level reconstructions. Mangrove species at two mangrove sites are broadly zoned according to elevation within the tidal frame. Modern pollen rain from traps deployed for 1 year generally have a poor relationship with modern vegetation, and relatively low pollen production rates. Pollen from mangrove species that live in narrow elevation zones (e.g. Avicennia marina) are poorly represented in modern pollen rain, while pollen from mangrove species that live across a larger elevational range (e.g. Rhizophora mucronata) are relatively well represented. Pollen was found in extremely low concentrations in mangrove surface and core sediments, which inhibited further study into pollen transport and preservation. The results from this modern study demonstrate that utilizing mangrove pollen would not decrease existing metre‐scale vertical uncertainties in Late Holocene sea‐level reconstructions in the Seychelles. We suggest that this approach may still be successful in other locations if mangrove vegetation is (i) zoned at a more extensive lateral scale and (ii) is closely associated with modern pollen rain and surface sediments, and (iii) sedimentological conditions promote the preservation of pollen in fossil sequences.

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“…For comparison, the proportion of variance explained by climate variables in CCAs or RDAs is 3.9-8.1% in northern Europe (Salonen et al, 2014), 25% in southern America (Schäbitz et al, 2013), 18.6% in the Tibetan Plateau (Lu et al, 2011), 11.4-15.6% in Siberia (Klemm et al, 2013), 5.6-19.8% in Mongolia (Tian et al, 2014, and 3.3-14.3% in southern Europe (Finsinger et al, 2007). The relatively low proportion of variance explained by climate variables in CCA or RDA can be possibly attributed to many factors, such as the potential source area of pollen from soil samples reflecting local rather than regional vegetation (Li et al, 2005;Zhao et al, 2009;Pan et al, 2010), the effects of taphonomic processes related to the soil oxidation that can remove some pollen types (Li et al, 2005;Phuphumirat et al, 2011;Gil-Romera et al, 2014), the relatively large size of these datasets with a high number of pollen types and many zero values (ter Braak, 1986;Guisan et al, 1999;Birks et al, 2010), and the uneven spatial distribution of surface samples in different geographical regions (Salonen et al, 2014). Such datasets are unable to cover completely and evenly the climatic gradients, which likely cause hidden nuisance gradients in the datasets (Salonen et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

Assessing the Importance of Climate Variables for the Spatial Distribution of Modern Pollen Data in China

Zheng

et al. 2015

Quat. res.

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To assess the importance of climate variables for the distribution of modern pollen data in China, we present a continental-scale dataset consisting of 1374 samples. Boosted regression trees and constrained ordination techniques are employed to quantify the importance of six climate variables (annual precipitation, PANN; actual/potential evapotranspiration ratio, Alpha; mean annual temperature, TANN; mean temperature of the warmest month, MTWA; mean temperature of the coldest month, MTCO; annual sum of the growing degree days above 5°C, GDD5) for the distribution of individual pollen taxa and modern pollen assemblages. The results show that taxon-specific responses to the climate variables display a wide regional diversity and that the climate variables with low collinearity that best account for the spatial variability of modern pollen assemblages differ regionally. PANN is the most important variable in northwestern and northeastern China and the Tibetan Plateau, while MTWA and MTCO are the dominant variables in east-central and southern China. This suggests that the climate variables that can be optimally reconstructed from fossil pollen data vary in different bioclimatic regions of China. This feature is typical to many continental-scale modern pollen datasets and needs to be considered in pollen-based climate reconstructions.

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The infection of pollen by zoosporic fungi in tropical soils and its impact on pollen preservation: A preliminary study

Cited by 13 publications

References 0 publications

Pollen Morphology and Ultrastructure

Pollen Morphology and Ultrastructure

Assessing the use of mangrove pollen as a quantitative sea‐level indicator on Mahé, Seychelles

Assessing the Importance of Climate Variables for the Spatial Distribution of Modern Pollen Data in China

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