2019
DOI: 10.1016/j.palaeo.2019.109289
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The effect of seasonal rainfall on nutrient input and biological productivity in the Yax Chen cave system (Ox Bel Ha), Mexico, and implications for μXRF core studies of paleohydrology

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Cited by 6 publications
(5 citation statements)
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“…As has been demonstrated elsewhere the distribution of elemental Ti throughout the Harvey Lake basin provides data on what areas of the lake are best suited to collect cores where this proxy of runoff might be preserved (e.g., [26][27][28][29][30]). For example, the area of the lake at the mouth of Little Sucker Brook, has the lowest levels of Ti measured in the lake, suggesting that the agricultural lands drained are not a significant source of this runoff proxy (Fig.…”
Section: Catchment Sediment Runoffmentioning
confidence: 87%
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“…As has been demonstrated elsewhere the distribution of elemental Ti throughout the Harvey Lake basin provides data on what areas of the lake are best suited to collect cores where this proxy of runoff might be preserved (e.g., [26][27][28][29][30]). For example, the area of the lake at the mouth of Little Sucker Brook, has the lowest levels of Ti measured in the lake, suggesting that the agricultural lands drained are not a significant source of this runoff proxy (Fig.…”
Section: Catchment Sediment Runoffmentioning
confidence: 87%
“…The development of X-ray fluorescent (XRF) technology has revolutionized geological research as it can be used to analyze sediment geochemistry much faster and with lower cost than possible using traditional geochemical techniques [23][24][25]. Titanium (Ti) has been demonstrated to be a proxy of lake catchment runoff [26][27][28][29][30]. Mapping the distribution of this element in a lake basin using core scanning XRF techniques provides cost-effective data on sediment provenance, which permits researchers to identify areas of a lake receiving enhanced runoff, and therefore where paleo-Ti signals might be best preserved.…”
Section: Supplementary Informationmentioning
confidence: 99%
“…Although results for more than 50 elements were obtained during the ITRAX XRF analysis, only a subset of normalized element results (Fe and Ti) received further consideration. The criteria for element selection were related to previous research indicating that variability in their relative abundance could be related to intervals of enhanced or reduced catchment sedimentary runoff/weathering and hydroclimatic variability (Evans et al., 2021; Gregory et al., 2021; Gushulak et al., 2021; McNeil‐Jewer et al., 2019; Oliva, Peros, et al., 2018; Roberts et al., 2016). In addition, four elemental ratios were calculated (Ca/Sr, Zr/Rb, K/Rb, and Cl + Br/Al) as these have been also demonstrated to be reflective of limnological processes associated with runoff, chemical weathering, grainsize, and marine air mass influence (Chagué‐Goff et al., 2016; Lo et al., 2017; Oliva, Peros, et al., 2018; Peros et al., 2017; Roberts et al., 2016).…”
Section: Resultsmentioning
confidence: 99%
“…Patterson et al (2020) also carried out an ITRAX RF analysis of the same Harvey Lake bottom samples that were analyzed using EMMA. Through the past 20 years, XRF core scanners have proven to be a particularly useful and cost-effective tool for the interpretation of climatic and environmental change associated with parameters such as catchment weathering and productivity changes in paleolimnological records (e.g., Evans et al, 2021;Klamt et al, 2021;McNeill-Jewer et al, 2019;Oliva, Peros, et al, 2018;Roberts et al, 2016). Patterson et al (2020) observed that the highest concentrations of the catchment runoff proxy Ti in the lake were in Herbert's Cove with focusing occurring within the nearby z-max (Figure 2).…”
mentioning
confidence: 99%
“…Tomando en cuenta que la cantidad de nutrientes en las cuevas anquihalinas aumentaría hacia las porciones cercanas a la costa, ya fuese por efecto del arrastre y entrada de agua meteórica al acuífero o por las mareas que impulsan agua marina tierra adentro (Sánchez et al, 2002;McNeill-Jewer et al, 2019), se esperaba que la talla promedio de C. anops disminuyera conforme la distancia a la costa aumentara. Sin embargo, las tallas promedio no fueron significativamente diferentes desde las cuevas más próximas al mar hasta cuevas 129 km tierra adentro.…”
Section: Discussionunclassified