A high-resolution pigment and productivity record from the varved Ponte Tresa basin (Lake Lugano, Switzerland) since 1919: insight from an approach that combines hyperspectral imaging and high-performance liquid chromatography

Abstract

A high-resolution pigment and productivity record from the varved Ponte Tresa basin (Lake Lugano, Switzerland) since 1919: insight from an approach that combines hyperspectral imaging and high-performance liquid chromatography A high-resolution pigment and productivity record from the varved Ponte Tresa basin (Lake Lugano, Switzerland) since 1919: insight from an approach that combines hyperspectral imaging and high-performance liquid chromatography Abstract Eutrophication, prompted by anthropogenic activities and climate change has led to multiple adverse effects in freshwater systems across the world. As instrumental measurements are typically short, lake sediment proxies of aquatic primary productivity (PP) are often used to extend the observational record of eutrophication back in time. Sedimentary pigments provide specific information on PP and major algal communities, but the records are often limited in the temporal resolution. Hyperspectral imaging (HSI) data, in contrast, provide very high seasonal (sub-varve-scale) resolution, but the pigment speciation is limited. Here, we explore a combined approach on varved sediments from the Ponte Tresa basin, southern Switzerland, taking the advantages of both methods (HSI and high performance liquid chromatography, HPLC) with the goal to reconstruct the recent eutrophication history at seasonal to interannual resolution. We propose a modified scheme for the calibration of HSI data (here: Relative Absorption Band Depth between 590 and 730 nm RABD590-730) and HPLC-inferred pigment concentrations (here: 'green pigments' {chlorophyll a and pheophytin a}) and present a calibration model (R 2 = 0.82; RMSEP ~ 12%). The calibration range covers >98% of the spectral index values of all individual pixels (68 µm x 68 µm) in the sediment core. This allows us to identify and quantify extreme pigment concentrations related to individual major algal blooms, to identify multiple algal blooms within one season, and to assess interannual variability of PP. Prior to the 1930s, 'green pigment' concentrations and fluxes (~50 µg g -1 ; ~2 µg cm -2 a -1 , chlorophyll a and pheophytin a) and interannual variability was very low. From the 1930s to 1964, chlorophyll a and pheophytin a increased by a factor of ~4, and ββ-carotene appeared in substantial amounts (~0.4 µg cm -2 a -1 ). Interannual variability increased markedly and a first strong algal bloom with 'green pigment' concentrations as high as 700 µg g -1 is observed in 1958. Peak eutrophication (~12 µg cm -2 a -1 chlorophyll a and pheophytin a) and very high interannual variability with extreme algal blooms ('green pigment' concentrations up to 1400 µg g -1 ) is observed until ca. 1990, when eutrophication decreases slightly. Maximum PP values after 2009 are likely the result of internal nutrient cycling related to repeated deep mixing of the lake.

The influences of historic lake trophy and mixing regime changes on long-term phosphorus fractions retention in sediments of deep, eutrophic lakes: a case study from Lake Burgäschi, Switzerland

“…The significant eutrophication in Lake Burgä schi might have caused intensified CaCO3 precipitation and sulfur (S) deposition to sediments (Fig. 4 and 5), which is in agreement with the findings from many other eutrophic lakes (Bonk et al, 2016;Holmer and Storkholm, 2001;Schneider et al, 2018).…”

“…RABD590-765. Butz et al (2017) and Schneider et al (2018) revealed that this index is well calibrated to absolute green-pigments concentrations (chlorophyll a + pheophytin a) in sediments.…”

“…Spectral endmembers were determined using the "Spectral Hourglass Wizard" of the ENVI 5.5 software package (Exelisvis ENVI, Boulder, Colorado). The relative absorption band depth (RABD) index calculation was performed following the method in Schneider et al (2018).…”

Late Holocene Paleonvironmental Evolution of Two Coastal Lakes in Mediterranean Chile and Its Implications for Conservation Planning

“…However, few studies focused on long-term changes in the entire phytoplankton community have been considered in Chilean coastal lakes to explain their response to environmental conditions [6,9,[28][29][30]. Sedimentological and biological proxies such as (sub)fossil remains, total organic carbon concentration, C and N stable isotopes and phytoplankton pigments can provide valuable information on past changes in primary production and the phytoplankton community structure [6,7,[31][32][33][34][35][36][37][38][39]. Phytoplankton pigments have the advantages that they also allow for the study of soft-bodied organisms which do not readily fossilise.…”

Sedimentary structures discriminations with hyperspectral imaging on sediment cores

“…HSI can improve chemical knowledge by analyzing the sample surface. It has already been used to characterize mineralogical fingerprints (Feng et al, 2018;Lorenz et al, 2019;Tusa et al, 2020), organic matter (Jacq et al, 2019b;Van Exem et al, 2019), pigments (Butz et al, 2017;Makri et al, 2020;Schneider et al, 2018), and particle size distribution (Jacq et al, 2019a). Some of these studies highlight sedimentary structures with proxy's estimation but without characterizing them spatially.…”