LTER Zöbelboden Station Data includes habitat type, parent material, topographical variables, physical and hydrological soil properties, epiphytic lichen host trees, etc. The STATION codes refer to https://deims.org/dataset/956b3718-53fe-4e00-9455-c4132b1195c7; See also the methods section for detail

DEIMS-SDR (Dynamic Ecological Information Management System - Site and dataset registry) is an information management system powered by eLTER. It allows you to discover long-term ecosystem research sites around the globe, along with the data gathered at those sites and the people and networks associated with them. DEIMS-SDR describes a wide range of sites, providing a wealth of information, including each site’s location, ecosystems, facilities, parameters measured and research themes. It is also possible to access a growing number of datasets and data products associated with the sites.

The present dataset comprises observations spanning from 1993 to 2023, focusing on biotic parameters collected from six permanent plots included into the LTER site “Appennino Centrale: Velino-Duchessa” (https://deims.org/12c79ecb-7890-4b75-9655-0883dacd8a29), located in Central Italy above the timberline (2125-2225 m a.s.l.). Specifically, it includes a synthesis of phytosociological relevés collected, according the Braun-Blanquet approach (coverage scale as modified by Pignatti) in 6 permanent plots of 10x10 m (https://deims.org/dataset/0c540fe8-1984-11e5-a766-005056ab003f), representative of two high-elevation plant communities (alpine tundra, Saxifrago speciosae-Silenetum ceniasiae, and snow-bed grassland, Trifolio thalii-Festucetum microphyllae). Species are named according to Flora d'Italia (Pignatti, 1982). The site, managed by Carabinieri, Forest and Environmental Protection Department, is part of the site “IT01- Apennines - High elevation Ecosystems – Italy” (https://deims.org/70b5c2bd-b0c3-4132-8988-f527893bfa42) which belongs to the Long Term Ecological Research national and international networks (LTER-Italy, LTER-Europe and ILTER). The data collection started in 1993 and it is continuously updated every year.

The present database contains observations for 22 parameters of abiotic, phyto and zooplankton data collected in the Northern Adriatic Sea region (Italy). It relies on a Comma Separated Values file and it is composed by 108687 records. Due to its long temporal coverage, it is classifiable as Long Term Ecological data. Due to the long temporal coverage, the great part of parameters changed collection and analysis method in time. These variations are reported in the database. A long-term database can be useful for multiple purposes. This database has been released under a research project focused on Open Science principles application to marine ecology, it is also deposited in B2Share repository (https://b2share.fz-juelich.de/records/f772ed02dcd1403a86fac5a6a19005ef) and metadata are available in DEIMS-SDR (Dynamic Ecological Information Management System - Site and dataset registry, https://deims.org/dataset/38d604ef-decb-4d67-8ac3-cc843d10d3ef). A datapaper, discussing methods, results and describing data has been published on Earth System Science Data (https://doi.org/10.5194/essd-12-215-2020). Compared to the third version of the database, in this new version, we added taxa references, following WORMS standard) to the column names for Diato and Dino parameters, we added the corresponding URIs of sensors published on GET-IT in brackets (<>) near the sensor name, for each parameter. Alternate identifiers to part of the present database have been added.

No description is available. Visit https://dataone.org/datasets/knb-lter-europe-deims.13392.14639 for complete metadata about this dataset.

Dataset dealing with exhaustive vascular plant surveys (except in 2014) in the centre of 20 crop fields of the LTSER Zone Atelier Armorique (DEIMS.ID : https://deims.org/31e67a47-5f15-40ad-9a72-f6f0ee4ecff6). All vascular understory plants were sampled in 10 50cm x 50 cm plots located along a transect placed in the middle of the crop field. Sampled plots are 5 m apart from each other. The taxonomic standardization was based on Flora europaea (Tutin et al., 1993). Some taxa were identified only to genus as their identification at the seedling stage may show great discrepancy between observers. Field work was carried out from May to July. Note that not all crop fields were surveyed in 2015.

Since 2015, ENEA as coordinator of the Eastern Ligurian Sea site in the Long Term Ecological Research Network (LTER) has collected turbidity data at different depths (Centroid/Representative Coordinates Latitude: 44.002684 Longitude: 9.992889; https://deims.org/56a6b13f-7c03-4bfa-ad4f-5f7e0f8189ca). Turbidity is measured in Nephelometric Turbidity Unit (NTU), referenced to a proper turbidity standard. Turbidity measurements are performed by using a nephelometric turbidimeter connected to a CTD probe (mod. SBE19plus). For each profile, the CTD is deployed at well-known depths together with the GO-FLO bottle (for Total Suspended Solids samples) by using the winch of the research vessel. Turbidity measures are acquired at a sampling rate of 4 Hz and stored in the internal buffer of the CTD, ready to be downloaded for post-processing. Turbidity values range up to about 80 NTU, but the main part of measures is below 20 NTU. The LTER Eastern Ligurian Sea site has as its main purpose the study of coastal ecosystems (especially coralligenous communities and long-lived benthic species in the area), hydrodynamic processes and, in the long term, the effects of climate change. The dataset proposed here refers to the years 2022 and 2023, and will be upgraded periodically.

Dataset dealing with exhaustive vascular plant surveys in field margins of three hedgerow networks of the LTSER Zone Atelier Armorique (DEIMS.ID : https://deims.org/31e67a47-5f15-40ad-9a72-f6f0ee4ecff6).

All vascular understory plants were sampled in 25 m long plot (one plot per field margin) placed in the middle of the field margin to avoid multiple edge effects from connection with other field margins. To incorporate local heterogeneity in field margin structure, all the width of field margins (N= 341) was sampled. Abundance-dominance of plants was scored using an ordinal scale according to Tansley (Tansley, 1935). The taxonomic standardization was based on Flora europaea (Tutin et al., 1993). Some taxa were identified only to genus as their identification at the seedling stage may show great discrepancy between observers. Field work was carried out from May to July for the two vegetation surveys (1994, 2015).

This dataset consists of images of fauna, flora, fungi or general scenery or events captured at the site on an ad-hoc basis and may provide the researcher with information regarding the species that occupy, frequent or traverse this site.

Karawatha Peri-Urban SuperSite was established in 2007 and decommissioned in 2018. The site was located in eucalypt forest at Karawatha Forest. For additional site information, see https://deims.org/f15bc7aa-ab4a-443b-a935-dbad3e7101f4 .

Other images collected at the site include photopoints and digital cover photography.

Activities in DEIMS SDR

The dataset contains records of Fishes (Pisces) collected in the River Sabor (NE Portugal) in 2012-2020, in the scope of a study aiming to understand the temporal dynamics of fish communities in relation to natural and anthropogenics drivers in a Mediterranean watershed. The study is part of research carried out at the Long Term Ecological Research Site (LTER) of Baixo Sabor (lter_eu_pt_002; https://deims.org/45722713-80e3-4387-a47b-82c97a6ef62b). The dataset includes data on fish communities obtained through electro-fishing (with restitution) at 74 sampling sites in 2012, and subsequently at 37 of these sites from 2013-2020. Until 2020, the data include a total of 27,514 records of 14 freshwater fish species. Part of these data has already been analised and published (see Ferreira et al., 2016; Mota-Ferreira et al., 2021). The dataset will be regularly updated with additional data from future sampling years.

Fixed cameras installed at the Cumberland Plain SuperSite provide a time series of fine scale data as a long-term record of vegetation structure and condition. This dense time series of phenocam images provides data for analysis of ecological responses to climate variability, and when consolidated across the entire terrestrial ecosystem research network, supports calibration and validation of satellite-derived remote sensing data, ensuring delivery of higher quality results for broader scale environmental monitoring products.

Images are captured half hourly during daylight hours. Images and data products, including timeseries of the Green Chromatic Coordinate (Gcc) for a region-of-interest (ROI) that delineates an area of specific vegetation type, are made available on an almost real-time basis.

The Cumberland Plain SuperSite was established in 2012 in a protected remnant of Shale Gravel Transition Forest, located on the Hawkesbury Campus of the University of Western Sydney in New South Wales. The vegetation at the site and in the images is dominated by Eucalyptus moluccana and E. fibrosa, which have hosted a population of mistletoe (Amyema miquelii); a subcanopy of Melaleuca decora is visible in some gaps. More ecological details about the site are available in Griebel et al. (2021). The ecosystem is subject to pressure from altered fire regimes, urban development, conversion to agriculture and extreme climate events. However, the forest patch at the site is in excellent condition with the exception of edge effects. For additional site information, see https://deims.org/a1bb29d8-197c-4181-90d8-76083afd44bb/ .

Other images collected at the site include photopoints, digital cover photography (DCP), and ancillary images of fauna and flora.

Digital Cover Photography (DCP) upward-looking images are collected twice per year to capture vegetation cover within the core hectare at Cumberland Plain SuperSite. These images can be used to estimate Leaf area index (LAI), Crown Cover or Foliage Projective Cover (FPC). The images are captured at the times of estimated maximum and minimum LAI. In addition, DCP images have been taken on a monthly basis from 2018-2020 at a subset of sites in the core hectare, co-located with litterfall traps and under-canopy radiation sensors, to evaluate more detailed seasonal dynamics of LAI and other aspects of canopy growth.

The Cumberland Plain SuperSite was established in 2012 in endangered remnant Eucalyptus woodland and is subject to pressure from invasive weeds, altered fire regimes, urban development, conversion to agriculture and extreme climate events. However, the woodland is in excellent condition with the exception of edge effects. The site is located on the Hawkesbury Campus of the University of Western Sydney in New South Wales. For additional site information, see https://deims.org/a1bb29d8-197c-4181-90d8-76083afd44bb/ .

Other images collected at the site include photopoints, phenocam time-lapse images taken from fixed overstorey cameras, and ancillary images of fauna and flora.

Sub-dataset dealing with occurence (presence/absence) of 26 vascular plant species surveyed in three hedgerow networks of the LTSER Zone Atelier Armorique (DEIMS.ID : https://deims.org/31e67a47-5f15-40ad-9a72-f6f0ee4ecff6).

Vegetation was sampled in 25 m long quadrats (one quadrat per margin) placed in the middle of the field margin or stream bank (N= 242) to avoid edge effects from connection with other field margins. Presence–absence of 26 vascular plant species of the herb layer vegetation was recorded. The 26 plant species were selected because they were common, readily identifiable and represent a large range of characteristics: in taxonomy, morphology and life history. Vegetation surveys were conducted in 1994, 1998, 2001, 2007, 2011, 2013 and 2015 exclusively between May 15 and August 15. Nomenclature of vascular plants is according to the Flora Europaea (Tutin et al., 1993).

To choose the treatment temperatures for an indoor mesocosm temperature experiment at the ICBM in Wilhelmshaven (https://doi.pangaea.de/10.1594/PANGAEA.961155), a thermal performance curve assay was performed from the 8th of March until the 16th of March. It was started one day after filling the mesocosms with seawater from Helgoland Roads (https://deims.org/1e96ef9b-0915-4661-849f-b3a72f5aa9b1) by randomly spreading pooled sample water in 50 ml culture flasks across ten temperatures (3 °C to 30 °C in 3 °C steps) in triplicates. Their fluorescence (395/680 Excitation/Emission) was measured daily using a SYNERGY H1 microplate reader (BioTek, Winooski, Vermont, USA).

This dataset provides information about water chemical parameters for Lake Paione Inferiore LTER_EU_IT_088: pH, Total alkalinity, conductivity, total nitrogen, major cations (calcium, magnesium, sodium, potassium), major anions (sulphate, nitrate, chloride) and silica for the period 2014-2020.

Lake Paione Inferiore (LPI) is a high altitude Alpine lake, located at 2002 m a.s.l. in the Bognanco Valley, Province of Verbania, Piedmont Region, Italy. It has a surface area of 0.86 ha and a maximum depth of 13.5 m. The Lake, together with Lake Paione Superiore (LPS), is included in the monitoring sites of the UN-ECE Program ICP WATERS (International Cooperative Programme on Assessment and Monitoring of Acidification of Rivers and Lakes) for which the CNR Water Research Institute is the National Focal Centre for Italy.

This dataset includes the following files: Metadata LTER_EU_IT_088.xls and per each parameter one xls file with data records. Dataset for the period 1984-2013 is available at https://doi.org/10.5281/zenodo.7642499.

Detailed description of the site LPI is available at https://deims.org/c128d2f9-beb0-45ba-89bb-df9e12f95b0f

Digital Cover Photography (DCP) upward-looking images were collected annually to capture vegetation cover at the TERN Karawatha Peri-Urban SuperSite. These images can be used to estimate Leaf area index (LAI), Crown Cover or Foliage Projective Cover (FPC).

The Karawatha Peri-Urban SuperSite was established in 2007 and decommissioned in 2018. The site was located in Eucalypt forest at Karawatha Forest. For additional site information, see https://deims.org/f15bc7aa-ab4a-443b-a935-dbad3e7101f4 .

Other images collected at the site include photopoints and ancilliary images of fauna and flora.

Networks in DEIMS SDR

Sensors in DEIMS SDR

High quality digital site reference images are captured for the core 1 hectare vegetation plot of the site on an annual basis to provide context for researchers to understand the general layout and vegetation of the study site, and as a visual reference to monitor any changes over time. Photopoints will be taken annually using the five point photopoint method. The set of images for each year usually consists of twenty images: four images taken at each corner of the plot facing each of the four cardinal points, and four images taken from the centre of the plot facing each corner.

The Cumberland Plain SuperSite was established in 2012 in endangered remnant Eucalyptus woodland and is subject to pressure from invasive weeds, altered fire regimes, urban development, conversion to agriculture and extreme climate events. However, the woodland is in excellent condition with the exception of edge effects. The site is located on the Hawkesbury Campus of the University of Western Sydney in New South Wales. For additional site information, see https://deims.org/a1bb29d8-197c-4181-90d8-76083afd44bb/ .

Other images collected at the site include digital cover photography, phenocam time-lapse images taken from fixed overstorey cameras, and ancillary images of fauna and flora.