Other language confidence: 0.7724094098354021
This dataset contains Beryllium isotope data, pH measurements, and calculations of surface process rates (denudation, weathering, erosion) from soil and drill core samples from the Coastal Cordillera, Chile. All drilling and soil sampling campaigns were conducted in the framework of the “EarthShape” project (DFG SPP1803) from March 2019 to March 2020. Rock and soil samples consist of granitoid lithology that is weathered to different degrees. We measured the concentration of in situ 10Be in quartz samples from soil samples and calculated denudation rates thereof. Furthermore, we applied a sequential extraction method to analyse meteoric 10Be and reactive 9Be; we also measured residual 9Be and parent bedrock 9Be concentrations. Using the concentration of meteoric 10Be, we calculated the inventory assuming exponential decrease with depth. Finally, we calculated the depositional flux using the in situ 10Be denudation rate and the 10Be(meteoric)/9Be isotope ratio. From reactive 9Be, we calculated the fraction of reactive and dissolved 9Be that we interpret as weathering indicator. All samples are indicated with a IGSN (International Generic Sample Number) which is a global unique sample identifier. These IGSNs are provided in the data tables and are linked to a short data description in the internet.
The data consists of four vascular plant species lists, one per study site. The site selection is based on the four study areas of the DFG Priority Program 1803 "EarthShape - Earth Surface Shaping by Biota” (www.earthshape.net), namely: arid climate National Park Pan de Azúcar, semi-arid climate Private Reserve Santa Gracia, mediterranean climate National Park La Campana and humid-temperate climate National Park Nahuelbuta in Chile, South America. Each list is a table with (mostly) terrestrial vascular plant species names that have been reported in a variety of sources at the selected sites and the corresponding administrative or biogeographical regions of Chile. The available literature sources varied from specific national park flora lists to Chilean flora books and catalogues and thus, the present lists represent a potential vegetation for the EarthShape study areas. Each table includes the plants’ Latin name, clade taxonomy, the plant growth form as well as the origin. The taxonomy of the vegetation species was updated to the taxonomic information available up to August 2023 from Chilean and South American vascular flora lists.
In 2019, as part of the interdisciplinary DFG priority program SPP1803 „EarthShape - Earth Surface Shaping by Biota“, the DeepEarthShape project was launched. The main goal of this German-Chilean research initiative was to gain a broader understanding of the interaction between geological, geochemical and biological processes controlling the weathering in the first tens to hundred metres of the subsurface. The elongated Chilean Coastal Range was selected as the ideal study area to investigate the effects of vegetation, precipitation and erosion on the transformation of intact bedrock into regolith within the so-called critical zone (CZ). This area encompasses several climate zones, from dry to humid, within a similar geological complex. We have carried out a Radio-Magnetotelluric (RMT) survey using a horizontal magnetic dipole (HMD) transmitter to image the electrical resistivity distribution, the lateral extent of the near-surface layers and the CZ at two sites of the DeepEarthShape project - Santa Gracia and Nahuelbuta (shown in this data publication).
This data publication contains new and recalculated soil production, chemical weathering, and physical erosion rates for granitoid soil-mantled hillslopes in the Chilean Coastal Cordillera. For further comparison and data discussion the data publication presents global rates from granitoid soil-mantled hillslopes combined with a suite of parameters at the sample location (e.g., slope, precipitation, temperature, vegetation cover). The data were collected within the DFG Priority Program 1803 "EarthShape - Earth Surface Shaping by Biota". The data publication contains one excel table including tables S1 to S9. In addition, these nine sub-tables are available as txt files in a zip-file. They are supplementary material to Schaller et al. (2021).
This data publication presents quantitative DNA data obtained through fluorometric detection of genomic DNA and the estimation of 16S rRNA gene copies using quantitative Polymerase Chain Reaction (qPCR). The data encompasses various soil and rock samples collected across a climate gradient. The DNA was extracted using a protocol enabling the separate analysis of intracellular DNA (iDNA) and extracellular DNA (eDNA) from the same sample. The primary objective of this study was to enhance a previously established method developed by Alawi et al. (2014) for analyzing terrestrial samples by introducing modifications to the extraction buffer. Phosphate buffers at two different concentrations (120 mM and 300 mM), EDTA (300 mM), and a high-concentration phosphate buffer in combination with EDTA (300 mM each) were tested in conjunction with a detergent mix (detailed in Medina et al., 2023; submitted). Thorough tests, including spiked DNA experiments and cell counts, were conducted on one low biomass sample to validate the extraction setups. The two most effective extraction protocols were then applied to all samples from the four designated sites and compared with the phosphate buffer described by Alawi et al. (2014), resulting in the calculation of improvement factors. The resulting dataset provides valuable quantitative DNA information and estimates of 16S rRNA gene copies across diverse soil and rock samples along a climate gradient. The modifications made to the extraction buffer demonstrated improved efficiency in extracting especially iDNA compared to the original method. These findings contribute to the refinement and optimization of DNA extraction protocols for terrestrial samples, enabling more accurate and comprehensive analyses of microbial communities in different environments.
We compiled available information for burrowing animals in Chile in two tables: "2020-042_Uebernickel-et-al_Vertebrates" and "2020-042_Uebernickel-et-al_Invertebrates". A discussion about burrowing vertebrates and invertebrates and the effect of the communities at selected sites in arid to humid Chile is given in Übernickel et al. (2021): Reviews and syntheses: Composition and characteristics of burrowing animals along a climate and ecological gradient, Chile. The purpose of these tables is to provide an overview of burrowing vertebrates and invertebrate species in Chile. The degree of known details of their natural history varies and is often minimal. For invertebrates, the majority of the published work is taxonomic or descriptive that hardly encounter biologic or ecologic aspects of the respective species. The geographic distribution of most invertebrate species remains largely unknown, as they have been topic of single investigations at specific research sites in Chile. The tables are intended as starting point for follow up research. Quantification of distributional ranges, density, excavation rates, burrow or gallery dimensions and further parameters of these species, is important to quantify the biotic influence they have on a landscape level. From publications mostly treating single species, we have compiled this comprehensive dataset of 45 digging or soil-moving vertebrate and 345 invertebrate species. It includes a list of species names with morphological digging adaptations and species observed to dig. In vertebrates excavating behavior is documented for mammals, lizards and birds. In invertebrates, excavating behavior is mentioned for Chilean spiders, scorpions, camel spider, beetles, cicadas, wasps, bees, ants, a termite and antlions. Chile is characterized by an endemic fauna, especially true for arthropods, with limited distributional ranges. Currently, these largely still unknown species are under thread of extinction by the destruction of habitats, desertification and climate change. We encourage specialists to add information to this first compilation.
The DFG Priority Program 1803 “EarthShape” (www.earthshape.net) investigates Earth surface shaping by biota. As part of this project, we present Light Detection and Ranging (LiDAR) data of land surface areas for the four core research sites of the project. The research sites are located along a latitudinal gradient between ~26 °S and ~38 °S in the Chilean Coastal Cordillera. From north to south, the names of these sites are: National Park Pan de Azúcar; Private Reserve Santa Gracia; National Park La Campana; and National Park Nahuelbuta. The three datasets contain raw 3D point cloud data captured from an airborne LiDAR system, and the following derivative products: a) digital terrain models (DTM, sometimes also referred to as DEM [digital elevation model]) which are (2.5D) raster datasets created by rendering only the LiDAR returns which are assumed to be ground/bare-earth returns and b) digital surface models (DSM) which are also 2.5D raster datasets produced by rendering all the returns from the top of the Earth’s surface, including all objects and structures (e.g. buildings and vegetation). The LiDAR data were acquired in 2008 (southernmost Nahuelbuta [NAB] catchment), 2016 (central La Campana [LC] catchment) and 2020 (central Santa Gracia [SGA] catchment). Except for Nahuelbuta (data already was available from the data provider from a previous project), the flights were carried out as part of the "EarthShape" project. The LiDAR raw data (point cloud/ *.las files) were compressed, merged (as *.laz files) and projected using UTM 19 S (UTM 18 S for the southernmost Nahuelbuta catchment, respectively) and WGS84 as coordinate reference system. A complementary fourth dataset for the northernmost site in the National Park Pan de Azúcar, derived from Uncrewed Aerial Vehicle (UAV) flights and Structure from Motion (SfM) photogrammetry, is expected to be obtained during the first half of 2022 and will be added to the above data set.
The DFG Priority Program 1803 "EarthShape - Earth Surface Shaping by Biota” (www.earthshape.net, short description of the project below) installed a meteorological station network consisting of four stations between ~26 °S to ~38 °S in the Coastal Cordillera of Chile, South America. The stations are intended to provide baseline meteorological data along the climate and ecological gradient investigated in the EarthShape program. The stations are located in the EarthShape study areas, encompassing desert, semi-desert, mediterranean, and temperate climate zones. Each station is configured to include sensors that record precipitation at ground level, radiation at 2.8 m height, wind at 3 m height, 25 cm depth soil temperature, soil water content and bulk electrical conductivity, 2 m air temperature and relative humidity, and barometric pressure at 30-minute intervals. The data recording started in March/April 2016. The EarthShape project runs until December 2021. Data collection will continue until that date, and potentially longer depending on available funds. This publication provides two sets of data: raw data and processed data. The raw data contains 2 file types per meteorological station: (1) all measured parameters of the whole dataset measured in 30 minutes intervals as downloaded from the station. Furthermore, we provide (2) one table per station of high-resolution precipitation events, measured in 5 min. intervals that were triggered during rain events at each station. The processed data consists of a continuous timeseries of observations since the activation of each station. The processing consists of the exclusion of erroneous data, caused by maintenance of the weather-stations and sporadic malfunction of sensors detected during data screening. The excluded data is communicated in a logfile (excel table), comments from data screening, solar eclipse and others are summarized in history files (ASCII ). the full description of the data and methods is provided in the data description file (Data description file). ----------------------- Version history: 16 January 2023 (Version 1.1): Alexander Beer included as additional author, addition of new data from 2020-04-14 bis 2022-10-10. All files of the first version are moved to the "previous-versions" folder. 09 October 2023 (Version 1.2): Addition of new time series data to 2023-07-31. Detailed changelog information can be found in the “History” files in the respective subfolders for each site. 03 June 2026 (Version 1.3): Addition of new time series data to 2025-03-31. Detailed changelog information can be found in the “History” files in the respective subfolders for each site.
With this data, we expand the data set characterizing the Critical Zone geochemistry along the Chilean Coastal Cordillera provided by Oeser et al. (2018). This data set completes the results of bulk geochemical analysis of bedrock and regolith with those of bulk analysis of major plants and those of the bio-available fraction in saprolite and soil (determined using a modified sequential extraction method on bulk regolith samples after Arunachalam et al., 1996;He et al., 1995;Tessier et al., 1979). For all those compartments of the Earth’s Critical Zone, we further present radiogenic (87Sr/86Sr) and stable (δ88/86Sr) strontium isotope ratios. A detailed graphical presentation and discussion of this data as well as method description is given in Oeser and von Blanckenburg, (2020a): Do degree and rate of silicate weathering depend on plant productivity? and Oeser and von Blanckenburg, (2020b): Strontium isotopes trace biological activity in the Critical Zone along a climate and vegetation gradient. Using this data, we were thus, able to determine weathering rates and nutrient uptake along the “EarthShape” climate and vegetation gradient in the Chilean Coastal Cordillera and to identify the sources of mineral nutrients to plants. Ultimately, we were able to budget inventories, gains and losses of nutritive elements in and out of these ecosystems and to quantify nutrient recycling. We found that the weathering rate does not increase from north to south along the climate gradient. Instead, the increase in biomass growth rate is accommodated by faster nutrient recycling. Instead, the increase in biomass nutrient demand is accommodated by faster nutrient recycling. In the absence of an increase in weathering rate despite a five-fold increase in precipitation and NPP, we hypothesize that plant growth might in fact dampen weathering rates. Radiogenic and stable Sr isotopes in combination with mass balance calculations were used to detect the Sr sources and quantify its fluxes in four ecosystems along the “EarthShape” climate and vegetation gradient. Estimated whole-plant Sr isotope compositions reveal a preferential uptake of light Sr from soil solution and subsequent export of fractionated organic material from the ecosystems. This export correlates well with erosion rate E and potentially impairs the ability for direct Sr acquisition from solid plant debris and thus reduces the recycling factor of Sr and possibly Ca and that of other mineral nutrients, too. All samples are assigned with International Geo Sample Numbers (IGSN), a globally unique and persistent Identifier for physical samples. The IGSNs are provided in the data tables and link to a comprehensive sample description in the internet. Tables included in this data publication: Table S1: Chemical composition, radiogenic strontium (87Sr/86Sr), stable strontium (δ88/86Sr), and molar Ca/Sr ratios of representative bedrock samples from Pan de Azúcar, Santa Gracia, La Campana, and Nahuelbuta Table S2: Weathering indices CDF and τ, radiogenic strontium (87Sr/86Sr), stable strontium (δ88/86Sr), and molar Ca/Sr ratios of the 2 × 4 regolith profiles. Table S3: Concentration of the bio-available fraction, comprised of the water-soluble and the exchangeable fraction. Table S4: Concentration of the water-soluble and the exchangeable fraction, and the relative amount of the bio-available fraction (pooled water-soluble and exchangeable fraction) on bulk regolith. Table S5: Chemical composition of the study sites’ single plant organs along with their respective radiogenic strontium (87Sr/86Sr), stable strontium (δ88/86Sr), and molar Ca/Sr ratios
Concentrations of in-situ-produced cosmogenic 10Be in river sediment are widely used to estimate catchment-average denudation rates. Typically, the 10Be concentrations are measured in the sand fraction of river sediment. However, the grain size of bedload sediment in most bedrock rivers covers a much wider range. Where 10Be concentrations depend on grain size, denudation rate estimates based on the sand fraction alone are potentially biased. To date, knowledge about catchment attributes that may induce grain-size-dependent 10Be concentrations is incomplete or has only been investigated in modelling studies. Here we present an empirical study on the occurrence of grain-size-dependent 10Be concentrations and the potential controls of hillslope angle, precipitation, lithology, and abrasion. We first conducted a study focusing on the sole effect of precipitation in four granitic catchments located on a climate gradient in the Chilean Coastal Cordillera. We found that observed grain size dependencies of 10Be concentrations in the most-arid and most-humid catchments could be explained by the effect of precipitation on both the scouring depth of erosion processes and the depth of the mixed soil layer. Analysis of a global dataset of published 10Be concentrations in different grain sizes (n=73 catchments) – comprising catchments with contrasting hillslope angles, climate, lithology, and catchment size – revealed a similar pattern. Lower 10Be concentrations in coarse grains (defined as “negative grain size dependency”) emerge frequently in catchments which likely have thin soil and where deep-seated erosion processes (e.g. landslides) excavate grains over a larger depth interval. These catchments include steep (> 25°) and humid catchments (> 2000mm yr-1). Furthermore, we found that an additional cause of negative grain size dependencies may emerge in large catchments with weak lithologies and long sediment travel distances (> 2300–7000 m, depending on lithology) where abrasion may lead to a grain size distribution that is not representative for the entire catchment. The results of this study can be used to evaluate whether catchment-average denudation rates are likely to be biased in particular catchments. Samples from the Chilean Coastal Cordillera were processed in the Helmholtz Laboratory for the Geochemistry of the Earth Surface (HELGES). 10Be/9Be ratios were measured at the University of Cologne and normalized to the KN01-6-2 and KN01-5-3 standards. Denudation rates were calculated using a time-independent scaling scheme according to Lal (1991) and Stone (2002) (St scaling scheme) and the SLHL production rate of 4.01 at g-1 yr-1 as reported by Phillips et al. (2016) The global compilation exists of studies that measured 10Be concentrations in different grain sizes from the same sample location. We only included river basins of <5000 km2 which measured 10Be concentrations in at least one sand-sized fraction <2 mm and at least one coarser fraction >2 mm. Catchment parameters have been recalculated using a 90-m SRTM DEM. The data are presented in Excel and csv tables. Table S1 describes the characteristics of the samples catchments, Table S2 includes the grain size dependent 10Be-concentrations measured during this study and Table 3 the global compilation of grain size dependent 10Be-concentrations. All samples of this study (the Chilean Coastal Cordillera) are assigned with International Geo Sample Numbers (IGSN). The IGSN links are included in Table S2 and in the Related References Section on the DOI Landing Page. The data are described in detail in the data description file and in van Dongen et al. (2018) to which they are supplementary material to.
| Organisation | Count |
|---|---|
| Wissenschaft | 12 |
| Type | Count |
|---|---|
| unbekannt | 12 |
| License | Count |
|---|---|
| Offen | 12 |
| Language | Count |
|---|---|
| Englisch | 12 |
| Resource type | Count |
|---|---|
| Keine | 12 |
| Topic | Count |
|---|---|
| Boden | 12 |
| Lebewesen und Lebensräume | 12 |
| Luft | 9 |
| Mensch und Umwelt | 12 |
| Wasser | 8 |
| Weitere | 12 |