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Production of land use statistics to estimate agri- environmental indicators

Production of land use statistics to estimate agri- environmental indicators. Davide Liberati Ministry of Agriculture , Food and Forestry Policies Antonio de Meo SIN SpA. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS. AAE project objectives.

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Production of land use statistics to estimate agri- environmental indicators

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  1. Production of land use statistics to estimate agri- environmentalindicators Davide Liberati Ministry of Agriculture, Food and ForestryPolicies Antonio de Meo SIN SpA

  2. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS AAE projectobjectives Italian Administrationstartedthe AGRIT Agri-Environmental survey (AAEproject) in 2010 with the scope to collectquantitative and especiallyqualitativeinformation concerningagro-environmentaldata (type of crops, type of hedges, landscape elements, soil erosion, etc.), that are not fully detectable by the photo-interpretation during LPIS activity.

  3. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS AAE project • Impact and assessment of new greening measures of the CAP post 2013 • Definition of a base-line for a diachronic observation of the territory • Support for monitoring and assessment of AEM of Rural Development

  4. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS AAE project Information about crop pattern, presence and length of hedgerows or buffer strips along the water elements such as ponds or stream, should play a basic role for the assessment of interaction between agriculture and the environment.

  5. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS Contents • Description of the AGRIT Agro-Environmental (AAE) survey; • Presentation of AAE estimates; • Use of some AAE estimates for the evaluation of the AEM in RDP;

  6. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS The AAE projectisbased on the integration of the instrumentsalready in use sincemanyyears (LPIS&AGRIT) Component for surveying the Italianterritory: LPIS-REFRESH Component for the statisticalsurvey: AGRIT New component: AGRIT Agro Environmentalsurvey AGRIT AGRO ENVIRONMENTAL SURVEY (AAE) The integration of remote sensing data and groundrecordingenablesthe determination of agri-environmentalindicatorson a Regionalscale. In 2011 the project has covered 3 Regions, Toscana, Marche and Sicilia. -

  7. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS Period of the fieldvisit: september – november 2011 Field survey for: • check the Land Cover/Land Use • detectall linear elements and point(hedgesand rows, stonewalls, streams and trees) • recordsadditionalqualitativeinformation of physicalvariables(Erosion, Irrigation, State of the crops, age of trees/hedges,) fallingwithineachunit of observationintegrating the layers with information.

  8. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS Sampling units are quadrat portions of territory of size 250x250 m (6,25 ha). Each quadrat is partitioned into polygons defining the land cover. Isulatedtree Stone walls Hedgerows • Enumerators detectsthe ecological structures within the quadrat (hedgerows, tree rows, stone walls, streams and isolated trees) and records (using the Tablet embedded GIS tool) the quantitative and categorical variables associated with these structures.

  9. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS AAE SAMPLED UNITS and AREA OBSERVED

  10. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS Regione Toscana Regione Marche Sampled area Regione Sicilia

  11. AAE ESTIMATES and AGRI- ENVIRONMENTAL INDICATORS

  12. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS The project provides the extent estimates for: • arable lands, • permanent crops; • permanent grassland; and the estimates of Environmental variables at regional basis.

  13. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS Moreover the following information are provided: • presence of irrigation - irrigated not irrigated (type of irrigation); • presence of erosion and its intensity; • presence of ditches and their length; • presence of terraces; • type of pasture; • type of forest (broadleaved or coniferous) and management.

  14. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS AAE estimation For evaluation of the landscape • The ratio of hedgerow and tree row extent to the UAA extent; • The ratio of the total length of stone walls and ditches to the UAA extent. • Extent of the areas occupied by terraces • Extent of the areas occupied by hedges and rows for each of the four strata determined by the Shannon index of use diversity.

  15. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS AAE estimation For soil management • Extent of the area affected by erosion (at the moment of the survey) for the whole region and in the presence of crops, trees and fodder. • Extent of permanent crops with the inter-row soil grass covered, partially covered, mulched or with bare soil.

  16. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS AAE estimation For water management • Irrigated UAA extent to the total UAA extent For assessing the variability of crop biodiversity • Condition state for Permanent crops • Land Use - Land Cover

  17. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS Extent estimates for arable lands, permanent crops and permanent grasslandare provided on regional basis and for plain hill and mountain areas.

  18. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS AAE estimates

  19. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS • The ratio between the of "hedges and rows" extent and the UAA extentcan be used for the evaluation of the landscape. Itiscalculatedby altitude. The linear elementsare convertedapplyinga conventional 1 m valuefor the width. Evaluation of landscapes

  20. Land use statistics to estimate agri- environmentalindicators Evaluation of landscapes The extension is also estimated by classes of Shannon index in order to assess the incidence of "hedges and rows" on the variability of the territory.

  21. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS Evaluation of landscapes During the surveys on arablecrops, fodder and permanentcropsisdetectedthe presence of terraces, theirtype(stonewall/ or not ) and the conservationstatus

  22. Land use statistics to estimate agri- environmentalindicators Evaluation of landscapes

  23. Land use statistics to estimate agri- environmentalindicators Evaluation of landscapes

  24. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS SOIL MANAGEMENT

  25. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS Soil Management For permanentcropsduring the surveyisrecorded the inter-rowlandcover, thisallows to estimate the extension of the inter-row cover type.

  26. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS Soil Management

  27. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS Soil Management

  28. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS Water management

  29. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS CROP BIODIVERSITY During the surveysin the plots with permanentgrasslandhasbeendetected the presence of speciessuchas lucerne, spanishesparcetsainfoinor clover, whichindicates a lessnatural pasture. The absence of suchspeciesindicates a higherdegree of naturalness.

  30. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS CROP BIODIVERSITY- Evaluation of landscapes During the surveys the permanent crops are qualified also on the basis of the state of maintenance: WELL MANTAINED; POOR MANTEINANCE or NEGLECTED.

  31. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS Spatialmaps of the presence for some variables

  32. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS PRESENCE OF DITCHES (at the time of the survey) PRESENCE OF EROSION (at the time of the survey)

  33. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS PRESENCE OF DITCHES (at the time of the survey) PRESENCE OF EROSION (at the time of the survey)

  34. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS PRESENCE OF DITCHES (at the time of the survey) PRESENCE OF EROSION (at the time of the survey)

  35. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS • The AAE area survey provides a feasible and statistically sound strategy based on remote sensing data and ground recording. • The ground surveys within selected quadrats enables the collection of quantitative and qualitative information concerning agro-environmental variables. • The repetition of the survey at fixed time gaps will allow a diachronic observation of the study area enabling the monitoring of the environmental transformations.

  36. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS AAE estimates for the evaluation of the RDP in Sicily

  37. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS AAE estimates for the evaluation of the RDP in Sicily The AAE surveyhasbeenused in order to achieve in-situ data and verify the existence of significantdifferencesbetweenregionalareasaffected / notaffected by agri-environmentalmeasures of the RDP. The pupose is to provide data and estimates to assess the impact of agri-environmental measures of the Sicilian RDP.

  38. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS AAE estimates for the evaluation of the RDP in Sicily For the stratification and the sample selection were used information from the farm-register and the LPIS. The quadrats (sampling units) are divided into two universes and analysed separately. Quadrats with RDP AEM are then compared with Quadrats without RDP AEM, as - in situations "factual" and "counterfactual" –

  39. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS AAE estimates for the evaluation of the RDP in Sicily

  40. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS AAE estimates for the evaluation of the RDP in Sicily

  41. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS AAE estimates for the evaluation of the RDP in Sicily In particular, the data acquiredshouldenable the estimationof some environmentalindicatorsrelated to the theme of biodiversity.

  42. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS AAE estimates for the evaluation of the RDP in Sicily Conservation of biodiversity on farmland and therefore of the "High Nature Value” farmland is a key specific objective of rural development policy, for supporting the Community strategic goal of halting the decline of biodiversity by 2020.

  43. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS AAE estimates for the evaluation of the RDP in Sicily The Impact Indicator no. 5 "Preservation of farmland and forests of high nature value" ("Maintenance of HNV farmland and forestry”) intend to measurechanges in the quantitative and qualitative findings of thesehabitats (areas) in the region, that can be attributed to the RDP interventions.

  44. LAND USE STATISTICS TO ESTIMATE AGRI- ENVIRONMENTAL INDICATORS AAE estimates for the evaluation of the RDP in Sicily The work is still in progress and the final results may change, because the statistical information refers to the wholeuniverseconsidered and are notyetcompared with the homogeneouszones for each of the variablesconsidered.

  45. Thankyou for yourattention antonio.demeo@sin.it d.liberati@mpaaf.gov.it -

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