Pastoralp Tools

Attention

this is a beta version of the PASTORALP PLATFORM. Contents and/or design may be subject to changes.

Welcome to the LIFE PASTORALP platform

Content

The PASTORALP platform consists of seven sections:

INTRODUCTION

Includes an introductory explanation of the state of the art and the aims of the project

CARTOGRAPHY

To consult an interactive cartography concerning the extension, the typology and the classification of the main high mountain pastoral typologies in the two case areas

MONITORING

Includes a series of phenocams and NDVI sensors positioned both in the Gran Paradiso National Park and in the Parc Des Ecrins to monitor the phenology of the pastures. It allows real-time consultation of data on air humidity and temperature in some areas of the Parc Des Ecrins and continuously updated images of some areas of the Gran Paradiso National Park.

IMPACTS

Includes user-friendly interactive maps related to current and future climate data under two different time slices (2011-2040 and 2041-2070) and RCP scenarios (RCP 4.5 and 8.5). The section includes also the impacts of climate change on pastoral suitability as well as on growth and production of three productive pastoral macro types.

ADAPTATION

This section includes a series of adaptation strategies that have been identified to address climate change adaptation for the two case study areas. These strategies encompass both technical strategies  and policies and have been identified considering their applicability, impact on biodiversity, success factors, technical difficulties by means of on-field testing, stakeholders consultations, modelling.

VULNERABILITY

This section includes outcomes from the vulnerability analysis, i.e. biophysical indicators and socio-economic indicators

WEBGIS

This section makes available all interactive maps produced during the project under a webgis environment.

Cartography

This section displays an updated and static cartography of the Gran Paradiso National Park and Parc Des Ecrins pasture vegetation, according to 13 grassland types, inventoried by integrating field surveys (carried out in 2019-2020-2021) and remotely sensed data. The interactive one can be navigated onto the WEBGIS section.

The pasture mapping activity involved the PNE and PNGP territories differently: in the PNE, some pasture maps produced under the “Alpages Sentinelles” programme were already available. The field work allowed to add six more pasture maps and to resurvey for a total of 2563 ha mapped. In the Gran Paradiso National Park, on the other hand, the surveys and mapping activities were done ex novo. All mountain pastures of Gran Paradiso National Park and closest surroundings, for a total of about 7500 ha, were involved.

The inventory followed a common and shared methodology between the two areas, likely to easily replicable to the whole western Alps, namely:

  • The territories of the two Parks lie in the validity zones of three different vegetation typologies, which classify the main plant communities that can be found in subalpine and alpine pastures in French Southern Alps (Jouglet, 1999), Vanoise and Aosta Valley (Bornard et al., 2007) or Piedmont (Cavallero et al., 2007). Categorization criteria were harmonised between the three classifications and common 13 pasture categories were developed.
  • The mountain grassland types have been identified by field visual assessments, and mapped according to the existing pasture typologies. This action was implemented in the territories of Gran Paradiso National Parkand closest surroundings (Orco, Cogne and Rhêmes Valleys) as well in targeted pastoral units of Parc Des Ecrins.
  • Existing and new remote sensing data (namely Landsat and Sentinel2 images) were used to implement innovative ways of mapping the main types of mountain pastures at a relevant scale for pastoral management. Whenever feasible, a special attention was paid to the cross-validation between field and satellite data. This result was achieved through these steps: a) identification and characterization of a number of properly representative surfaces to cover the range of variation in representative plots; b) processing and analysis of remotely sensed data to select the spectral indices capable of best discriminating the different vegetation types; c) validation of the detection algorithms through the comparison of results derived from satellite imagery with real vegetation on the ground.

The harmonization of classifications to define 13 common pasture categories from the Aosta Valley typology is reported in the figure.

A brief description of pastoral typologies is hereby, while the pasture type correspondences between the three vegetation typologies of the study area is reported in Table 1:

  • Productive: vegetation in flatlands and low slopes of the subalpine level with rich soil. Very tall (over 50 cm) and very dense vegetation dominated by broad-leaved graminaceae.
  • Subalpine intermediate: vegetation in flatlands and low slopes of the subalpine level with medium-rich soil. 30 to 50 cm high, dense grassy patches dominated by fine to medium-leaved graminaceae.
  • Nardus swards: on lowlands and slopes in the subalpine or alpine level, vegetation of medium height (20-30 cm), not very dense, dominated by Nardus stricta.
  • Grassy thermophile: on medium and steepy sunny slopes in the subalpine and alpine level, on dry and fairly deep soil. 30 to 50 cm high, very dense vegetation with almost total herbaceous cover.
  • Patzkea paniculata swards: on medium sunny slopes in the subalpine level, vegetation very tall (over 50 cm), very dense, dominated by graminaceae with long, thick leaves, especially Patzkea paniculata.
  • Brachypodium pinnatum swards: on medium sunny slopes in the subalpine level, vegetation of medium height (20-30 cm), dense, dominated by Brachypodium pinnatum.
  • Bare thermophile: medium to steep south-facing slopes in the subalpine and alpine level with dry soil.
  • Alpine intermediate: sparse vegetation on medium to moderate slopes, windy ridges and bumps in the alpine level.
  • Nival: sparse vegetation in snow combes and moderate slopes in alpine and nival environment.
  • Heaths: vegetation with a shrub and herb layer in the subalpine and alpine environment.
  • Nitrophilous vegetation: in flatlands and moderate slopes of the subalpine level; these herbaceous formations, dominated by nitrophilous species, develop in areas of accumulation and excess of manure.
  • Screes: areas with more than 50% of the surface occupied by stones and rocks, on steep slopes, located under ridges or rock bars.
  • Wetlands: very wet areas with temporary or permanent excess of water.

Table 1. Pasture type correspondences between the three vegetation typologies of the study area.

PASTURE CATEGORY AOSTA VALLEY – VANOISE TYPES PIEDMONT TYPES FRENCH SOUTHERN ALPS TYPES
Productive S3 8, 56, 57, 59
Subalpine intermediate S2 52, 53, 54, 60, 64, PI3
Nardus swards S1, A8 29, 30, 32, 41, 47, 48, 49, 61 PI2, PI4
Grassy thermophile A3, S4 11, 40 PT1
P. paniculata swards S6 26 PI6, PI7
B. pinnatum swards S5 3, 25 PT2, PI5
Bare thermophile SA1, SA2, SA3, A1, A2 13, 17, 19, 24, 46, 50 PT3, PT4, PI1
Alpine intermediate A4, A5, A6, A7 21, 22, 33, 35, 36, 37 PT5
Nival A9, A10 72, 74, 75, 76, 77, 79 PN1, PN2, PN3, PN4
Heaths L1, L2, L3 90, 91, 92 F1, F2, F3, F4
Nitrophilous vegetation 67, 69 RA1, RA2
Screes E 70 E1, E2
Wetlands ZH 81, 86 ZH1, ZH2

For further details, please refer to Deliverable C.6 (due in January 2022).

Pasture Vegetation in the inner alps: the hierarchy

Monitoring

This section includes real-time data deriving from a series of phenocams and NDVI sensors positioned both in the Gran Paradiso National Park and in the Parc Des Ecrins to monitor the phenology of pastures.

Gran Paradiso National Park: a network of phenocam and NDVI sensors allows to track the seasonal evolution of canopy structural and functional properties and their interactions with climate and grazing; observation sites are located along a management gradient: a low elevation (~1500 m asl) intensively grazed pasture (Epinel), an extensively grazed grassland at 2000 m asl (Lauson) an high elevation grassland (Levionaz) with bouquet in grazing. Collected data are used to understand the feedbacks between taxonomical and functional diversity with site conditions, climate and grazing intensity, frequency and timing. They also represent field observations that can be used to evaluate remotely sensed products and to inform grassland productivity models.

National Parc Des Ecrins: several sensors have been installed, with the aim to monitor pasture’s meadows phenology at different altitudes (e.g. agro-climatic conditions) and pastoral management. Two sites are situated in a pasture (name : Crouzet) of L’Argentière-la-Bessée. One site is located at 1940 m above sea level in a subalpine meadow, and the other one is situated in the alpine zone at 2350 m above sea level, in an alpine meadow. Both sites are equipped with NDVI sensors and cameras for landscape monitoring. The NDVI sensors and the camera installed on the lower site can transmit rea-time data (not available yet), while the camera installed on the higher site does not. Another site is at Lautaret, currently transmitting real time data of air temperature and humidity, wind speed, NDVI values and snow cover.

Please click on one of the buttons below to see the real-time data for the relevant park.

Impacts

This section displays outcomes from future climate projections on the case study areas, climate change impact on pastoral productive macro-types performed by means of process-based (DayCent, PaSim) and statistical (Random Forest) modelling approaches. The analysis was carried out by means of meteorological observations and data on pasture management, production, growth and development, which were collected from stations located in the two study areas (Parc National des Ecrins and Gran Paradiso National Park). The section includes three sub-sections, namely:

 

  1. Future Climate impacts: The impacts of future climate are displayed as user friendly maps of the main climatic indicators. These indicators have been calculated from a downscaling and bias correction procedure of Regional Circulation Models so as to produce high-resolution current and future climatic data for the study areas at daily time step under future RCPs (4.5 and 8.5) IPCC scenarios and two time slices (2011–2040 and 2041-2070) as projected by three RCMs (ALADIN, CCLM, ICTP) and the ensemble of them.
  2. Pastoral suitability: Pastoral future suitability is displayed as user-friendly maps and derives from a machine learning (Random Forest) approach which was employed to map areas current suited to pastoral resources in the two study areas, and simulate the impact of climate change on their dynamics under two future RCPs (4.5 and 8.5) IPCC scenarios and two time slices (2011–2040 and 2041-2070), as ensembled from three RCMs (ALADIN, CCLM, ICTP).
  3. Impacts on pastoral productive macrotypes: changes on pastures Growing season, Biomass peak dates, Biomass peak value, GHG fluxes (NEE, N2O, CH4) NPP, GPP, and Soil water content on three pastoral macrotypes (namely low-medium and high productive) are displayed as graphs as simulated by PaSim and DayCent models under two future RCPs (4.5 and 8.5) IPCC scenarios and two time slices (2011–2040 and 2041-2070) as projected by the ensemble of the three RCMs (ALADIN, CCLM, ICTP). The models were firstly calibrated by means of satellite-derived leaf area index (LAI) and normalised difference vegetation index (NDVI) trajectories, and then run against future climatic dataset so to assess the impacts of future climate on biomass and phenology of three pasture macro-typologies, namely low-medium-high productive pastures.

Maps on climate change impacts for GIS skilled users are available at the WEBGIS section.

Adaptation

This section includes two subsections:

  1. List of feasible adaptation strategies: this section displays interactively a list of adaptation strategies identified to address climate change adaptation for the two case study areas. These strategies encompass both technical strategies and policies considering their applicability, impact on biodiversity, success factors, technical difficulties by means of on-field testing, stakeholders consultations, modelling output. These strategies are promoted for the Western Alpine pastoral contexts to address and cope with climate change and extreme climate events (e.g. droughts). A detailed description of these strategies is included in Deliverable C.6 (Feasible adaptation strategies) and will set the basis to develop the climate change action plan in alpine pastoral contexts (Action C.8) advocating adaption for pastures of the entire Alpine chain.

A Glossary is also displayed at the bottom.

  1. Outcomes from adaptation strategies application: This subsection displays graphs on outcomes deriving from the application of adaptation strategies to the three pasture productive macro-types as deriving from PaSim and DayCent modelling under two future RCPs (4.5 and 8.5) IPCC scenarios and two time slices (2011–2040 and 2041-2070) .

Please choose one type of adaptation below in order to browse the relevant adaptation tree.

 
Click on the to expand the related elements | the definition for the words with dotted underline can be found in the glossary at the bottom of this page or just hovering the word itself with your mouse
Climatic hazards Consequences of the hazard on the natural environment (soil, vegetation and water) or animals Possible consequences on the pastoral system Possible adaptations Points to watch out for (management and biodiversity) Technical difficulties Factors for failure or success
• Lack of snow with very dry and cold winter
or
• Early snow removal with spring frost
or
• Late or cold spring
Early Spring
Drought at the beginning of the grazing season and very little snow cover
Very marked drought in June (or even May)
High heat or heatwave and wind in June
Very hot and dry summer, heatwave and drought
Rainy summer or hail storms
Very mild autumn


Glossary

GLOSSARY OF TECHNICAL MEASURES
Term in French Term in Italian English translation ENG
Alpage Alpeggio Summer mountain pastures It indicates both the mountain pastures used by herds and flocks in the summer season, and the structures present on these pastures (houses, stables, milk processing rooms, etc.). The alpage consists of a variable number of remue or tramuto at higher and higher altitudes. The average period of stay in alpage is about 100 days.
The alpine pasture is a high-altitude pastoral unit used in summer by herds and flocks belonging to one or several farmers. Usually the alpine pasture consists of a variable number of pasture areas and huts, where the herd and its shepherds stop for the time necessary to consume the surrounding pastures. Stops in the trams, located at different altitudes, take place both uphill and downhill during the season, depending on the availability of fodder.
Quartiers d’août Tramuto superiore High altitude pastoral paddock Pastures at higher altitudes, usually grazed in August.
Amontagnage Monticazione Climbing Seasonal, vertical transhumance that takes place in the period of late spring/early summer when cattle and flocks are transferred from the lowlands to the summer mountain pastures
Démontagnage Demonticazione Downclimbing Descent of cattle and flocks from the alpage to the lowlands at the end of summer or in automn.
Pâture intégrale Pascolamento integrale 24 hours grazing time Night and day grazing with no return to the barn
Végétation grossière Vegetazione grossolana Coarse vegetation Graminoid vegetation that is poorly consumed by animals (Patzkea paniculata, Brachypodium gr. pinnatum, Helictotrichon spp., Deschampsia caespitosa, Calamagrostis spp., etc)
Bois adaptés à une utilisation sylvo-pastorale Boschi vocati per un utilizzo silvo-pastorale Forests suitable for sylvo-pastoral use Forests suitable for sylvo-pastoral use: these are generally even-aged woods characterized by a herbaceous understory, likely rich in grasses and/or legumes and/or a shrub layer having a mid pastoral value. The main tree species larch forests, secondary broadleaf forests (birch, poplar, invasive maple and ash forests, etc.), Scots pine and oak forests rich in grasses and legumes, sometimes fir woods. This category doesn’t entail forests directly protected, stands under regeneration or transformation processes as well as uneven-aged stands at any stage of growth. Beech forests, fir forests, oak-hornbeam forests do not have a particular forestry vocation. In suitable stands, the conditions of the sward, light on the ground and availabiklity for grazing can be improved by thinning, also through the transformation of irregular stands, without any particular management and without any other particular vocations.
Petite faune
Fauna minore Minor species Wild minor species – complex of small size species ("minor" doesn’t have a biological or systematic meaning) like: amphibians, reptiles, small mammals, fish and insects.
Some "minor species" are listed in The Bird (2009/147/EC) and Habitat Directive (92/43/CEE). Directives define the protection level.

Vulnerability

This section includes outcomes from the vulnerability analysis, i.e. modelling outcomes and socio-economic variables, as well as climatic and biodiversity indicators as resulting from Action C.5. The model outcomes are obtained using two distinct models. Pastures productivity and emissions are estimated using two biogeochemical models (PaSim and DayCent), whilst shifts in distribution of pastures are obtained using machine learning approach (Random Forest). List of socio-economic, climatic and biodiversity indicators are defined according to a variety of means including literature scanning, indicator classification, and local stakeholders’ contribution by means of individual questionnaires.

Model outcomes are displayed coupled with climatic indicators (aridity index, hot and cold spells frequency index, etc.), and complemented with biodiversity indicators, in view of a socio-economic assessment. This will allow to create vulnerability indicators for the pastures located in the study area as well as to extrapolate information of the best timing for grazing under current and future climate.

WebGIS

This section makes available all interactive maps produced during the project under a webgis environment, thus requiring a skilled user in Geographical Information Systems (GIS) software. The maps available are the following:

  • Current and future climate (absolute values and delta changes)
  • Pastoral Suitability
  • Pasture Macro types (13 pastoral typologies, 3 productive Pasture macro types)

climate

PASTORALP suitability

suitability

PASTORALP macrotypes

macrotypes


To access the digital data, please send an email request to Camilla Dibari: camilla dot dibari at unifi dot it