Data Model and Analysis for Spatial Assessment of Environmental Impact and Targeting of Agri-Environmental Schemes at Regional Scales

The report introduces the concepts and strategies for implementing spatial based methods for the assessment of actual environmental impact of Rural Development agri-environmental measures. The objective is to set directions for research work proposing an array of possibilities to identify, assess and to map the impact of the Rural Development schemes related to the Community environmental priorities in contribution to the EC defined evaluation indicators. Specific research results will be reported separately.JRC.H.5-Rural, water and ecosystem resource

Global Ecosystem Response Types Derived from the Standardized Precipitation Evapotranspiration Index and FPAR3g Series

Observing trends in global ecosystem dynamics is an important first step, but attributing these trends to climate variability represents a further step in understanding Earth system changes. In the present study, we classified global Ecosystem Response Types (ERTs) based on common spatio-temporal patterns in time-series of Standardized Precipitation Evapotranspiration Index (SPEI) and FPAR3g anomalies (1982–2011) by using an extended Principal Component Analysis. The ERTs represent region specific spatio-temporal patterns of ecosystems responding to drought or ecosystems with decreasing severity in drought events as well as ecosystems where drought was not a dominant factor in a 30-year period. Highest explanatory values in the SPEI12-FPAR3g anomalies and strongest SPEI12-FPAR3g correlations were seen in the ERTs of Australia and South America whereas lowest explanatory value and lowest correlations were observed in Asia and North America. These ERTs complement traditional pixel based methods by enabling the combined assessment of the location, timing, duration, frequency and severity of climatic and vegetation anomalies with the joint assessment of wetting and drying climatic conditions. The ERTs produced here thus have potential in supporting global change studies by mapping reference conditions of long term ecosystem changes.JRC.H.5-Land Resources Managemen

Characterization of Pan-Mediterranean Riparian Areas by Remote Sensing Derived Phenological Indices

This report aimed at inventorying characteristics of Mediterranean riparian-use zones using statistical analysis of some phenological indices calculated from remote sensing time series. Riparian areas are focused because of their prime importance in offering potential for adapted agricultural landuse and their ecosystem services. The quantity of vegetation cover present in these wider riparian-use zones has been proven to be directly dependent to adjacent landuse and related to the functioning of the zone as wider riparian buffer. Phenological indices derived from low resolution remote sensing time series can be used in complement with other data to assess and monitor dynamics and stresses of the riparian-use zones.JRC.H.7-Land management and natural hazard

Correspondence of Satellite Measured Phenology to European Farmland Bird Distribution Patterns

This report presents research in establishing linkages between remotely sensed information of vegetation cover and biological diversity, specifically focusing on farmland birds. The vegetation cover was investigated via phenological indices derived from time series of satellite images. The quantification of phenological processes is very important for understanding ecosystems and ecological development. Such factors determine population growth and influence species-species interactions (competition, predation, reproduction) and species distribution. Birds have long been used to provide early warning of environmental problems, because they are the best known and documented major taxonomic group, especially in terms of the sizes and trends of populations and distributions. Common farmland birds are in decline throughout Europe, with the cumulative populations of all 33 species of farmland birds suffering a decline of 44 per cent between 1980 and 2005. For the link between vegetation dynamics and farmland birds distribution phenological indices and their spatial statistical characteristics were calculated from the time series of the SPOT Vegetation images. The farmland birds species data were selected from the European Bird Census Counsel (EBCC) Atlas of European breeding birds. Both datasets were then statistically analyzed using the Environmental Stratification of Europe. The study shows that this stratification is very appropriate to describe the spatial distribution of farmland birds. Furthermore it was shown that phenological indicators, especially the start of the growing season, the first greening up measures and the productivity measures are good indicators of the distribution of the European farmland birds and that these indicators are comparable to climatic measures. The importance of using phenological indicators is argued by the illustrated fact that phenological indicators can deliver information on the habitat on a higher spatial resolution that cannot be obtained through climatic data. This combination of information supplies indispensible measures to monitor those environmental changes that most probably lead to the reported dramatic decrease of the species.JRC.DDG.H.7-Land management and natural hazard

The World Atlas of Desertification assessment concept for conscious land use solutions

The assessment concept that has been outlined for the compilation of the new World Atlas of Desertification (WAD) confronts this complexity by converging evidence of stress on the land system caused by various issues. Preventing judgement on the complex status of ‘land degradation’ the WAD opens the way to a positive approach to deal with the problem, providing also helpful evidence for stakeholders to design more conscious solutions for land use.JRC.H.5-Land Resources Managemen

Global Ecosystem Response Types Derived from the Standardized Precipitation Evapotranspiration Index and FPAR3g Series

Observing trends in global ecosystem dynamics is an important first step, but attributing these trends to climate variability represents a further step in understanding Earth system changes. In the present study, we classified global Ecosystem Response Types (ERTs) based on common spatio-temporal patterns in time-series of Standardized Precipitation Evapotranspiration Index (SPEI) and FPAR3g anomalies (1982–2011) by using an extended Principal Component Analysis. The ERTs represent region specific spatio-temporal patterns of ecosystems responding to drought or ecosystems with decreasing severity in drought events as well as ecosystems where drought was not a dominant factor in a 30-year period. Highest explanatory values in the SPEI12-FPAR3g anomalies and strongest SPEI12-FPAR3g correlations were seen in the ERTs of Australia and South America whereas lowest explanatory value and lowest correlations were observed in Asia and North America. These ERTs complement traditional pixel based methods by enabling the combined assessment of the location, timing, duration, frequency and severity of climatic and vegetation anomalies with the joint assessment of wetting and drying climatic conditions. The ERTs produced here thus have potential in supporting global change studies by mapping reference conditions of long term ecosystem changes

Prediction of lichen diversity in an UNESCO biosphere reserve - correlation of high resolution remote sensing data with field samples

The present study focuses on developing models to predict lichen species richness in a UNESCO Biosphere Reserve of the Swiss Pre-Alps following a gradient of land-use intensity combining remote sensing data and regression models. The predictive power of the models and the obtained r ranging from 0.5 for lichens on soil to 0.8 for lichens on trees can be regarded as satisfactory to good, respectively. The study revealed that a combination of airborne and spaceborne remote sensing data produced a variety of ecological meaningful variable

Impact of Soil Sealing on Soil Carbon Sequestration, Water Storage Potentials and Biomass Productivity in Functional Urban Areas of the European Union and the United Kingdom

The negative impacts of soil sealing are numerous, from withdrawing fertile soil from biomass production to modifying the microclimate and decreasing biodiversity. Many of the processes are interrelated and propagate further undesirable consequences from local to global levels. Three issues are especially important from the viewpoint of multiscale ecological cycles and consequent environmental impacts. One is soil organic carbon (SOC), the other is soil water management and the third is biomass productivity. In this study, we assessed the lost carbon sequestration potential due to soil sealing in functional Urban Areas (FUAs) of Europe, the potential effect of soil sealing on the topsoil to hold water to its full capacity and the loss of biomass productivity potential. Findings revealed that one-fifth of the area of soil that became sealed between 2012 and 2018 was of high productivity potential, and almost two-thirds was of medium productivity potential. New soil sealing caused a loss of carbon sequestration potential estimated at 4 million tons of carbon of the FUAs and also caused an estimated potential loss of water-holding capacity of 668 million m3