WATER EROSION

Data aggiornamento scheda
Autori

Marco Di Leginio, Fiorenzo Fumanti

Abstract

The indicator estimates soil loss due to water erosion, expressed in tonnes per hectare per year.
According to European estimates, Italy loses on average 8.77 tonnes/hectare/year, significantly higher than the European average.

Descrizione

Water erosion of soil is an extremely complex and unavoidable natural phenomenon, constituting an integral part of the Earth's surface shaping processes. It depends on climatic conditions, as well as geological, pedological, hydrological, morphological, and vegetational characteristics of the territory, but it can be accelerated by anthropogenic activities, especially those related to agro-silvo-pastoral practices (crop types, tillage and cultivation systems, forest management, grazing), leading to the emergence of serious economic and environmental issues.

In agricultural areas where specific agri-environmental control and mitigation measures are not implemented, erosion—especially in its more intense forms—represents one of the main threats to proper soil functionality. The removal of the uppermost layer of soil, rich in organic matter, significantly reduces its productivity and, in the case of shallow soils, may lead to the irreversible loss of arable land.

Direct measurement of the phenomenon is carried out in equipped experimental fields which, however, are currently scarce and unevenly distributed throughout the national territory. Therefore, in the absence of a national monitoring network, the assessment of annual soil loss is conducted using modelling approaches. As with all models attempting to describe complex natural processes, the final output provides an approximation of the actual situation, the accuracy of which depends not only on the model used but also on the quality of the input data and the weight assigned to the various parameters.

The indicator provides an estimate of soil loss due to water erosion based on cartographic datasets produced at both European and national levels using the Universal Soil Loss Equation (USLE) model.

Scopo

To assess the risk of soil erosion due to rainfall and surface runoff. This estimate is particularly useful as a decision-support tool for planning soil conservation interventions.

Rilevanza
È di portata nazionale oppure applicabile a temi ambientali a livello regionale ma di significato nazionale
È in grado di descrivere la tendenza senza necessariamente fornire una valutazione della stessa.
È semplice, facile da interpretare.
È sensibile ai cambiamenti che si verificano nell'ambiente e/o nelle attività umane
Fornisce un quadro rappresentativo delle condizioni ambientali, delle pressioni sull'ambiente e delle risposte della società.
Fornisce una base per confronti internazionali.
Solidità
È basato su standard nazionali/internazionali e sul consenso nazionale/internazionale circa la sua validità
È ben fondato sul piano tecnico e scientifico.
Possiede elementi che consentono di correlarlo con modelli economici, previsioni e sistemi informativi
Misurabilità (dati)
Adeguatamente documentati e di fonte nota
Facilmente disponibili o resi disponibili a fronte di un ragionevole rapporto costi/benefici
Un’ “idonea” copertura temporale
Principali riferimenti normativi e obiettivi

The last three European Environmental Action Programmes (5EAP, 6EAP, and 7EAP) and Agenda 21 set general goals regarding sustainable land use, nature protection, and biodiversity conservation.
COM (2006) 231 and the proposed EU Soil Protection Directive COM (2006) 232—although definitively withdrawn in 2014—identified erosion risk as one of the main threats to European soils.
In Regulation (EC) 1782/2003, establishing common rules for direct support schemes under the Common Agricultural Policy, erosion control is one of the main requirements for maintaining agricultural land in good agronomic and environmental condition.

DPSIR
Stato
Tipologia indicatore
Descrittivo (A)
Limitazioni

National-scale assessments of soil loss rates inevitably suffer from the limited accuracy of the data used and produce differing results depending on the relative weight assigned to the parameters considered.
Regional-level assessments, in addition to relying on higher-quality information, have the significant advantage of being testable in the field through verification of their correspondence with actual ground conditions.

Ulteriori azioni

Possible data integrations in this important sector lie in the need to use more up-to-date soil databases, better distributed across the territory and capable of ensuring coverage at scales that are certainly valid at the regional and provincial levels. In this regard, a joint project involving ISPRA, the Regions, JRC, and CRA is currently underway, aimed at harmonizing the information available at the regional level (SIAS Project).

Fonte dei dati

ARPAV (Veneto Environmental Protection Agency),
CREA (Council for Agricultural Research and Economics),
ISPRA ,
JRC (Joint Research Centre),
Regional administrations.

Frequenza di rilevazione dei dati
Undefined
Copertura spaziale

National, Regional (14 out of 20 regions)

Copertura temporale

2014 (SIAS project – 14 regions), 2015

Core SET
7° Programma di azione per l’Ambiente Europeo (7° EAP) - Dati sull’ambiente
Descrizione della metodologia di elaborazione

Modelling of climatic, topographic, pedological, and land use data applied over a square grid of 1 km side length.

Data quality

The indicator provides information that reasonably meets policy demands related to the environmental issue described, although data are derived from a modelling approach requiring thorough validation. The data come from reliable sources; however, national-scale assessments, due to the coarser resolution, contain approximations that limit overall accuracy, which improves in regional-scale elaborations. Spatial comparability is good only when the same model is applied. Temporal comparability is low, as there are currently no comparable time series.

Stato
Medio
Trend
Non definibile
Valutazione/descrizione dello stato

Model-based estimates, despite the aforementioned limitations, provide sufficiently adequate information for a national-level synthesis. Various areas of the national territory are subject to more or less pronounced soil loss due to water erosion, with significant economic implications in hilly zones hosting high-value crops.

A quantitative definition of the trend is not possible, but the gradual expansion of forested areas at the expense of agricultural land—confirmed by CLC data—suggests a decrease in the phenomenon in mountainous zones. Conversely, the intensification of mechanisation in agricultural hillsides implies an increase in the phenomenon, also linked to the rising erosivity of rainfall observed in recent years, with more intense and closely spaced downpours.

Particular attention should be paid to the impact of forest fires, which render even forest soils highly susceptible to erosion. Initial data on the effectiveness of agri-environmental measures introduced by the new Common Agricultural Policy (CAP) and included in the National Strategic Plan for Rural Development show a significant reduction in erosion processes following their application.

Valutazione/descrizione del trend

Non definibile

Commenti

Figure 1 reports the most recent elaboration on soil loss due to water erosion conducted in 2015 by the Joint Research Centre of the European Commission. The methodology used is the Revised Universal Soil Loss Equation (RUSLE, Wischmeier & Smith, 1978), an empirical model tested on standard-size experimental plots, capable of providing quantitative results on actual or potential soil loss.
The result provides an estimate of erosion expressed in tonnes/hectare/year.

The parameters considered in the equation are climatic, pedological, morphological, vegetational, and land use-related:
A = R * K * L * S * C * P,
where:

  • A = estimated soil loss due to water erosion (t/ha/year)
  • R = rainfall erosivity
  • K = soil erodibility
  • L = slope length
  • S = slope gradient
  • C = cover-management factor
  • P = erosion-control practice factor

Compared to the previous edition, also carried out by JRC using the same methodology, the data sources for defining the parameters of the equation were as follows:

  • K factor: data from LUCAS surveys, approximately 1,300 points for Italy
  • R factor: temporally resolved data from a network of 251 stations homogeneously distributed across Italy, covering the period 2002–2011 with a 30-minute average temporal resolution
  • LS factor: derived from a 25-meter resolution DEM
  • C factor: EUROSTAT data for agricultural areas (crop type and agricultural practices such as reduced tillage/no tillage, cover crops, etc.); Copernicus and Corine Land Cover data for non-agricultural areas
  • P factor: data from the GAEC database (Good Agricultural and Environmental Conditions) and LUCAS field surveys (anti-erosion practices directly observed on the ground—e.g., dry stone walls, hedges, etc.)

The final result, represented on a 100-meter grid, shows that EU Member States report average soil loss values of 2.46 tonnes/hectare/year, corresponding to 970 million tonnes lost annually. Italy reports the highest values, with an average of 8.77 tonnes/hectare/year, slightly above those from national elaborations (see below, SIAS project) ranging from 6.5 to 7 tonnes/hectare/year.

Figure 2 displays a map produced within the SIAS Project, involving all regional technical offices (except Friuli Venezia Giulia, Liguria, Puglia, Umbria, and Lazio). The project’s primary objective is the harmonisation of pedological data, specifically those related to water erosion, through the adoption of a shared data exchange format and final data representation on an INSPIRE-compliant 1x1 km grid.

The algorithm used is the Universal Soil Loss Equation (USLE) and its revised version (RUSLE), which has the significant advantage of being validated by local authorities through comparison with in-field observations. Despite adopting a common format, differences remain due to the varied importance assigned by individual regions to their land management policies and the different robustness of their regional databases.

It should be noted that Campania and Sardinia are not included in the graphic elaboration due to the adoption of erosion estimation models not comparable with the USLE, while the elaborations for Lazio and Umbria were carried out by CREA-RPS in Rome.

Data
Allegati
Thumbnail
Titolo

Figura 10.31: Stima della perdita di suolo per erosione idrica espressa in tonnellate/ettaro*anno (2015)

Fonte

JRC-IES

Thumbnail
Titolo

Figura 10.32: Valutazione della perdita di suolo per erosione idrica in Italia secondo i dati del Progetto SIAS (2014)

Fonte

 ISPRA, ARPAV, Regioni, Province autonome, CREA