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16 results for “Gran Paradiso”
LTER-Italy site Gran Paradiso National Park figure
<p>Geographical representation of the LTER-Italy site Gran Paradiso National Park (LTER_EU_IT_109) - DEIMS-ID <a href="https://deims.org/e33c983a-19ad-4f40-a6fd-1210ee0b3a4b">https://deims.org/e33c983a-19ad-4f40-a6fd-1210ee0b3a4b</a></p>
CO2 NEE and ER + air and soil meteorological and climate parameters in Alpine grasslands, Gran Paradiso National Park, 2017-2019
<p>The dataset “fluxes_meteoclimate_nivolet_V0” is a .csv file reporting CO<sub>2</sub> Net Ecosystem Exchange (NEE) and Ecosystem Respiration (ER) measured at Nivolet Plain, Gran Paradiso National Park, Italy, in a high-altitude Alpine grassland environment (about 2700 m.a.s.l.) using the flux chamber method, during the 2017, 2018 and 2019 vegetative seasons (July-September), approximately twice a month. NEE is measured with a transparent flux chamber, while ER with a shaded chamber. Data represent the average values and the corresponding standard deviations obtained from four sites at different altitudes and geological substrate of the soil. Each average value is obtained as a mean over a set of more than 20 point-measures for each site and each sampling date. Flux data are complemented by measurements of soil temperature and volumetric water content, air temperature and moisture, and solar radiance. The four sites are characterized by soils developed over carbonates (carb) (45.500212N-7.152213E), glacial deposits (glac) (45.490167N-7.139916E), gneiss rocks (gnei) (45.490256N-7.149253E) and alluvial deposits (allu) (45.492656 N-7.146092 E).</p> <p>Other relevant shortcuts used in the .csv table: Std = Standard deviation; VWC% = Volumetric Water Content %. Meteorological and climate variables recorded during the measurement of NEE and during the measurement of ER bring the suffix NEE and ER respectively (es. Pressure_NEE (hPa) = atmospheric pressure recorded during the measurement of Net Ecosystem Exchange).</p>
Net Ecosystem Exchange, Ecosystem Respiration and meteoclimatic data of Alpine grasslands at Nivolet Plain, Gran Paradiso National Park, Italy 2017-2023
<p>This dataset presents georeferenced measurements collected at the Nivolet Plain in Gran Paradiso National Park (GPNP), western Italian Alps. The dataset includes the Net Ecosystem Exchange (NEE), Ecosystem Respiration (ER) and meteo-climatic variables, i.e. air and soil temperature, air relative humidity, soil volumetric water content, atmospheric pressure and solar irradiance. The measurements were conducted between 2017 and 2023 at five different sites at an elevation of approximately 2550-2750 meters a.s.l.</p> <p>To estimate NEE and ER, we employed the flux chamber method, measuring the temporal variation of carbon dioxide (CO2) concentration inside the chamber over a period of about 90 seconds. We used a customized portable non-steady-state dynamic flux chamber, paired with an InfraRed Gas Analyzer (IRGA) and a portable weather station. Measurements were taken at around 20 points per site during the snow-free season, spanning from June to October.</p> <p>The dataset is provided in a comma-separated text file (.csv) format. Each record corresponds to a single measurement point, with semicolons used as separators. The "NA" notation indicates values that are not available or have been excluded during quality control processes (e.g., due to battery failure). We use point as decimal separator.</p> <p>The sign convention for the fluxes is: a negative value indicates a CO2 flux from the atmosphere to the ecosystem, while a positive value represents a CO2 flux from the soil/ecosystem to the atmosphere. Consequently, ER values are positive, while NEE values can be positive or negative. The units for NEE and ER fluxes are molCO2 m-2 day-1 and μmolCO2 m-2 second-1. The first values in each record of the dataset indicate the observation details (sampling date, site, etc.), followed by the corresponding measured or calculated variables. NEE and ER values were estimated from the slope of the linear regression of CO2 concentration over time (ppm s-1) using a laboratory calibration curve.</p> <p>The calibration curve was created by relating known and pre-set CO2 fluxes (within the range expected in the field) with the corresponding measured slopes. The flux values were then scaled up based on the area of the chamber base (0.036 m2) and adjusted using the ratio of atmospheric pressure and air temperature during the measurement to those recorded during the calibration in the laboratory.</p>
CO2 Net Ecosystem Exchange (NEE) and Ecosystem Respiration (ER) + meteorological parameters in alpine grasslands at Nivolet Plain, Gran Paradiso National Park, 2020 (IGG-CNR-CZO@NIVOLET)
<p>CO2 Net Ecosystem Exchange (NEE) and Ecosystem Respiration (ER) measured at Nivolet Plain, Gran Paradiso National Park, Italy, in a high-altitude Alpine grassland environment (about 2500-2700 m.a.s.l.) using the closed portable flux chamber method during the 2020 vegetative season (July-October), approximately twice a month. NEE is measured with a transparent chamber, while ER with a dark chamber (transparent chamber shaded with a cloth). Data represent the average values and the corresponding standard deviations obtained from five sites at different altitudes and soil substrates. Each average value is obtained as a mean over a set of 20 point-measurements for each site and each sampling date. Flux data are complemented by measurements of soil temperature and soil volumetric water content, air temperature, air RH, and solar radiance.</p> <p>During the measurement, air is pumped from the chamber to an IR gas analyzer (IRGA) and then injected again in the chamber. The CO2 concentration inside the chamber is measured for about 90 seconds and then the rate of concentration change is linearly interpolated (over 60s) to obtain the flux measurements. A detailed description of the sampling method can be found in Magnani et al. (2020).</p> <p>Instrumentation used: accumulation chambers (height: 31.5 cm; area of the base: 363 cm2), LI-COR LI-840 & LI-850 IR spectrophotometers, stainless-steel collars (inserted into the soil to a depth of about 1 cm), portable meteorological stations (pyranometer LSI Lastem DPA053, thermohygrometer LSI Lastem DMA672.1), pt100 soil temperature sensors, SM150T soil moisture sensor.</p>
CO2 Net Ecosystem Exchange (NEE) and Ecosystem Respiration (ER) + meteorological parameters in alpine grasslands at Nivolet Plain, Gran Paradiso National Park, 2021 (IGG-CNR-CZO@NIVOLET)
<p>CO2 Net Ecosystem Exchange (NEE) and Ecosystem Respiration (ER) measured at Nivolet Plain, Gran Paradiso National Park, Italy, in a high-altitude Alpine grassland environment (about 2500-2700 m.a.s.l.) using the closed portable flux chamber method during the 2021 vegetative season (July-October), approximately twice a month. NEE is measured with a transparent chamber, while ER with a dark chamber (transparent chamber shaded with a cloth). Data represent the average values and the corresponding standard deviations obtained from five sites at different altitudes and soil substrates. Each average value is obtained as a mean over a set of 20 point-measurements for each site and each sampling date. Flux data are complemented by measurements of soil temperature and soil volumetric water content, air temperature, air RH, and solar radiance.</p> <p>During the measurement, air is pumped from the chamber to an IR gas analyzer (IRGA) and then injected again in the chamber. The CO2 concentration inside the chamber is measured for about 90 seconds and then the rate of concentration change is linearly interpolated (over 60s) to obtain the flux measurements. A detailed description of the sampling method can be found in Magnani et al. (2020).</p> <p>Instrumentation used: accumulation chambers (height: 31.5 cm; area of the base: 363 cm2), LI-COR LI-840 & LI-850 IR spectrophotometers, stainless-steel collars (inserted into the soil to a depth of about 1 cm), portable meteorological stations (pyranometer LSI Lastem DPA053, thermohygrometer LSI Lastem DMA672.1), pt100 soil temperature sensors, SM150T soil moisture sensor.</p>
Soil moisture for Gran Paradiso
<p>Pixel values represent the surface soil moisture content (in m3m-3*100) of, approximately, the top 5 cm of soil. The retrieval was based on Sentinel-1 time-series and a Support Vector Machine based approach. L. Pasolli, C. Notarnicola, G. Bertoldi, L. Bruzzone, R. Remelgado, F. Greifeneder, G. Niedrist, S. Della Chiesa, U. Tappeiner, and M. Zebisch, “Estimation of Soil Moisture in Mountain Areas Using SVR Technique Applied to Multiscale Active Radar Images at C-Band,” Sel. Top. Appl. Earth Obs. Remote Sens., vol. 8, no. 1, pp. 262–283, 2015.</p>
Wet snow cover for Gran Paradiso
<p>Series of wet snow cover area maps derived from Sentinel-1 using the algorithm proposed in Nagler T, Rott H, Ripper E, Bippus G, Hetzenecker M. Advancements for snowmelt monitoring by means of Sentinel-1 SAR. Remote Sensing. 2016 Apr 20;8(4):348.</p>
Snow cover duration maps for Gran Paradiso
<p>Number of days for which a pixel is covered by snow. The snow cover duration (SCD) is generated from the 250 meter resolution snow cover maps realized with the algorithm described in Notarnicola, Claudia, et al. "Snow cover maps from MODIS images at 250 m resolution, Part 1: Algorithm description." Remote Sensing 5.1 (2013): 110-126.</p>
Gran Paradiso - Nivolet: binary map vegetated/not vegetated (2016)
<p>A vegetated/not vegetated binary map for the Nivolet area in Gran Paradiso (Italy) PA, detected by a thresholding on NDVI spectral index extracted from a Sentinel-2A image dated 13 August 2016, at 10 meters spatial resolution, projected in WGS84/UTM32N. <br> The map has binary values where value 1 indicates pixels of vegetation whereas value 0 indicates No vegetation pixels.<br> </p>
Gran Paradiso: grassland change map (2012-2016)
<p>A change map for the land cover class "GRASSLAND" in "Gran Paradiso" PA, obtained by the Cross Correlation Analysis algorithm (CCA) [1,2] considering at time T1 the layer "GRASSLAND" from COPERNICUS Service VHR layer dated 2012 and at time T2 a Sentinel-2A image dated August 13rd, 2016.</p> <p>The map was produced at 20 meters spatial resolution and projected in WGS84/UTM32N.</p> <p>The map has binary values where value 1 indicates pixels changed from GRASSLAND to other whereas value 0 indicates No changed/Not considered pixels.</p> <p>The Overall Accuracy (OA) of the map was: OA=93.16%±0.14%.</p> <p>[1] Koeln, G., & Bissonnette, J. (2000). Cross-correlation analysis: Mapping landcover changes with a historic landcover database and a recent, single-date, multispectral image. Proc. 2000 ASPRS Annual Convention, Washington, D.C. (8 pp.).</p> <p>[2] C. Tarantino, M. Adamo, R. Lucas, P. Blonda. (2016). “Detection of changes in semi-natural grasslands by cross correlation analysis with Worldview-2 images and new Landsat 8 data”, <em>Remote Sensing of Environment</em>, Vol. 175C, pp. 65-72, doi: 10.1016/j.rse.2015.12.031, ISSN 0034-4257</p>
Carabids data of Pterostichus flavofemoratus and Carabus depressus in the Gran Paradiso National Park (2006, 2007, 2012, 2013)
<p>Understanding risks to biodiversity requires predictions of the spatial distribution of species adapting to changing ecosystems and, to that end, earth observations integrating field surveys prove essential as they provide key figures for assessing landscape-wide biodiversity scenarios. Here, we develop, and apply to a relevant case study, a method suited to merge earth/field observations with spatially explicit stochastic metapopulation models to study the near-term ecological dynamics of target species in complex terrains. Our framework incorporates the use of species distribution models for a reasoned estimation of the initial presence of the target species, and accounts for imperfect and incomplete detection of the species presence in the study area. It also uses a metapopulation fitness function derived from earth observation data subsuming the ecological niche of the target species. This framework is applied to contrast occupancy of two species of carabids (<em>Pterostichus flavofemoratus</em>, <em>Carabus depressus</em>) observed in the context of a large ecological monitoring program carried out within the Gran Paradiso National Park (GPNP, Italy). Results suggest that the proposed framework may indeed exploit the hallmarks of spatially explicit ecological approaches and of remote Earth observations. The model reproduces well the observed <em>in-situ</em> data. Moreover, it projects in the near-term the two species' presence both in space and time, highlighting the features of the metapopulation dynamics of colonization and extinction, and their expected trends within verifiable timeframes.</p>
Vegetation pictures, Alpine grasslands at the Nivolet Plain, Gran Paradiso National Park, Italy 2017-2023
<p>This dataset presents vegetation pictures collected at the Nivolet Plain in Gran Paradiso National Park (GPNP), western Italian Alps, between 2017 and 2023.</p> <p>This collection is linked to the dataset named "Net Ecosystem Exchange, Ecosystem Respiration and meteoclimatic data of Alpine grasslands at Nivolet Plain, Gran Paradiso National Park, Italy 2017-2023" (https://zenodo.org/doi/10.5281/zenodo.7590917) already published in the Zenodo Community "IGG-CNR Critical Zone Observatories".</p> <p>For each measurement, a picture was taken from a nadir perspective, aiming at monitoring the vegetation within the measurement area.</p> <p>The collection is organised as follows.</p> <ul> <li>Main folder: NIVOLET_YEAR (e.g., NIVOLET_2023) <ul> <li>Subfolder: SITE-NAME_YEAR(yyyy format)_MONTH(mm format)_DAY(dd format) (e.g., AL_2023_06_15) <ul> <li>Images: SITE-NAME_YEAR(yyyy format)_MONTH(mm format)_DAY(dd format)_NEE-time(hhmmss format) (e.g., AL_2023_06_15_101400.jpg)</li> </ul> </li> </ul> </li> </ul>
Carabids data of Pterostichus flavofemoratus and Carabus depressus in the Gran Paradiso National Park (2006, 2007, 2012, 2013)
Open the record for dataset details and reuse information.
Vegetation data of Lauson and Lavassey proglacial forelands in the Gran Paradiso National Park (northwestern Italy)
<p>This dataset contains the vegetation data collected in two alpine glacier forelands (Lauson and Lavassey) of the Gran Paradiso National Park, northwestern Italy.</p> <p>Data were collected using the grid-point intercept method on a total of 36 plots in the years 2016, 2017, 2020 and 2021.</p>
Eddy Covariance data from ICOS-associated station IT-NIV at Nivolet Plain, Gran Paradiso National Park, 2021 (IGG-CNR-CZO@NIVOLET)
<p>Data stored here refer to Eddy Covariance (EC) data measured in 2021 at the Alpine CZO (IGG-CNR-CZO@NIVOLET), established in 2019 at the Nivolet Plain (Piani del Nivolet) in the Gran Paradiso National Park (GPNP). The EC tower was installed to deeply study CO2, H20, latent and sensible heat exchanges between soil, vegetation, and atmosphere. </p> <p>Carbon dioxide fluxes and environmental variables are recorded to estimate carbon storage and explore CO2 fluxes drivers in high-altitude grasslands.</p> <p>Measured parameters: Net vertical turbulent CO2 flux (µmol+1s-1m-2); air temperature (deg_C), air relative humidity (%), wind speed (m+1s-1), max wind speed (m+1s-1), wind direction (deg_from_north).</p> <p>Method: The EC station respects both sensors and data processing standards defined by the ICOS community. Flux processing software: EddyPro® set to default processing settings. The output variables have a 30-minutes resolution. The uploaded parameters are obtained by aggregating over a 3-hours time span. The associated measurement time (column B in the uploaded file) indicates the beginning of the 3-hours averaging period (es. Time T= [Time T; Time T+2h30 min]).</p> <p>Instrumentation: 3-Dimensional Sonic Anemometer (Manufacturer: Gill WindMaster, s.n.: W174606, Firmware: 2329-701-01, Instrument height: 4.485 m, North alignment: SPAR, North offset: 0, Wind data format: u, v, w); Enclosed path CO2/H2O Gas Analyzer (Licor Li7200RS, s.n.: 72H-0947, Firmware: 8.8.28, Tube length: 115.5 cm, Tube diameter: 5.33 cm); Weather station (Thermohygrometer LSI Lastem DMA 672). </p> <p>Quality assurance: Mauder and Foken (2004) flagging policy (0-1-2 system). Here, only high quality data are reported (qc=0).</p>
Eddy Covariance data from ICOS-associated station IT-NIV at Nivolet Plain, Gran Paradiso National Park, 2020 (IGG-CNR-CZO@NIVOLET)
<p>Data stored here refer to Eddy Covariance (EC) data measured at the Alpine CZO (IGG-CNR-CZO@NIVOLET), established in 2019 at the Nivolet Plain (Piani del Nivolet) in the Gran Paradiso National Park (GPNP). The EC tower was installed to deeply study CO2, H20, latent and sensible heat exchanges between soil, vegetation, and atmosphere. </p> <p>Carbon dioxide fluxes and environmental variables are recorded to estimate carbon storage and explore CO2 fluxes drivers in high-altitude grasslands.</p> <p>Measured parameters: Net vertical turbulent CO2 flux (µmol+1s-1m-2); air temperature (deg_C), air relative humidity (%), wind speed (m+1s-1), max wind speed (m+1s-1), wind direction (deg_from_north)</p> <p>Method: The EC station respects both sensors and data processing standards defined by the ICOS community. Flux processing software: EddyPro® set to default processing settings. The output variables have a 30-minutes resolution. The uploaded parameters are obtained by aggregating over a 3-hours time span. The associated measurement time (column B in the uploaded file) indicates the beginning of the 3-hours averaging period (es. Time T= [Time T; Time T+2h30 min])</p> <p>Instrumentation: 3-Dimensional Sonic Anemometer (Manufacturer: Gill WindMaster, s.n.: W174606, Firmware: 2329-701-01, Instrument height: 4.485 m, North alignment: SPAR, North offset: 0, Wind data format: u, v, w); Enclosed path CO2/H2O Gas Analyzer (Licor Li7200RS, s.n.: 72H-0947, Firmware: 8.8.28, Tube length: 115.5 cm, Tube diameter: 5.33 cm); Weather station (Thermohygrometer LSI Lastem DMA 672). </p> <p>Quality assurance: Mauder and Foken (2004) flagging policy (0-1-2 system). Here, only high quality data are reported (qc=0).</p>
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