Semi-natural vegetation in agricultural land: European map and links to ecosystem service supply

Semi-natural vegetation in agricultural land mainly includes extensively managed grasslands, agro-forestry areas and all vegetated features that are not used for crop production, such as hedgerows, buffer strips, field margins and woodlots. Semi-natural vegetation plays a major role in the supply of ecosystem services such as pollination, pest control, water quality control and erosion prevention. The efficiency of ecosystem services for agriculture should therefore depend upon the spatial distribution of semi-natural vegetation. In spite of such a relevance, semi-natural vegetation in agricultural land has never been mapped at the European scale. Therefore, we report here the first 1- km resolution map of semi-natural vegetation in agricultural land at the European Union scale. For that, we use an innovative convergence-of-evidence mapping method. We also present an assessment and a classification of the relation between semi-natural vegetation and ecosystem service supply at the regional scale. The major improvements in our mapping method are the following: (1) both large and small patches of perennial vegetation are detected in fine-resolution satellite images by incorporating the spectral rule-based preliminary classifier, (2) the identification of semi-natural grassland is enhanced, (3) European ancillary maps are used to help mapping of woody vegetation and identification of agro-ecosystems. Validation shows that our output map is 34.3 % more accurate than pre-existing components. In addition, results show that regulating ecosystem services increase with the abundance of semi-natural vegetation in agricultural lands with a coefficient R2 of 0.67. The results also show no specific trend in relation to provisioning ecosystem services. These findings mean that semi-natural vegetation is usually beneficial for regulating services, whereas the relation to provisioning services is strictly context-dependent. Overall our study supports greening measures design in the frame of the Common Agricultural Policy for 2014–2020. Results also will help to identify green infrastructure elements and priority areas for ecological restoration.

[1]  Caspar A. Mücher,et al.  A climatic stratification of the environment of Europe , 2005 .

[2]  Weissteiner Christof,et al.  TIME SERIES ANALYSIS OF NOAA AVHRR DERIVED VEGETATION COVER AS A MEANS TO EXTRACT PROPORTIONS OF PERMANENT AND SEASONAL COMPONENTS AT PIXEL LEVEL , 2008 .

[3]  Pieter Kempeneers,et al.  Data Fusion of Different Spatial Resolution Remote Sensing Images Applied to Forest-Type Mapping , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[4]  B. Osterburg,et al.  Recent evolution of the EU Common Agricultural Policy (CAP): state of play and environmental potential , 2005 .

[5]  Grazia Zulian,et al.  Synergies and trade-offs between ecosystem service supply, biodiversity, and habitat conservation status in Europe , 2012 .

[6]  Andrea Baraldi,et al.  Operational Automatic Remote Sensing Image Understanding Systems: Beyond Geographic Object-Based and Object-Oriented Image Analysis (GEOBIA/GEOOIA). Part 1: Introduction , 2012, Remote. Sens..

[7]  Paracchini Maria-Luisa,et al.  A European assessment of the provision of ecosystem services - Towards an atlas of ecosystem services , 2011 .

[8]  D. Talwar,et al.  Assessment of status. , 1998, Current opinion in clinical nutrition and metabolic care.

[9]  F. Celette,et al.  Agroecological practices for sustainable agriculture. A review , 2013, Agronomy for Sustainable Development.

[10]  Jiangxiao Qiu,et al.  Spatial interactions among ecosystem services in an urbanizing agricultural watershed , 2013, Proceedings of the National Academy of Sciences.

[11]  B. Grizzetti,et al.  Mapping ecosystem services for policy support and decision making in the European Union , 2012 .

[12]  Lorenzo Bruzzone,et al.  Automatic Spectral Rule-Based Preliminary Mapping of Calibrated Landsat TM and ETM+ Images , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[13]  Jonathan D. Cryer,et al.  Time Series Analysis , 1986 .

[14]  N. Geeson,et al.  Desertification indicator system for Mediterranean Europe , 2015 .

[15]  Wolfgang Britz,et al.  Automated model linkages: the example of CAPRI , 2008 .

[16]  Andrea Baraldi,et al.  Operational Automatic Remote Sensing Image Understanding Systems: Beyond Geographic Object-Based and Object-Oriented Image Analysis (GEOBIA/GEOOIA). Part 2: Novel system Architecture, Information/Knowledge Representation, Algorithm Design and Implementation , 2012, Remote. Sens..

[17]  R. Jongman,et al.  Reflecting Environmental Land Use Needs into EU policy: Preserving and enhancing the environmental benefits of unfarmed features on EU farmland , 2008 .

[18]  Grazia Zulian,et al.  Linking Land Cover Data and Crop Yields for Mapping and Assessment of Pollination Services in Europe , 2013 .

[19]  Tobias Kuemmerle,et al.  Beyond 'land sparing versus land sharing': environmental heterogeneity, globalization and the balance between agricultural production and nature conservation , 2013 .

[20]  L. Jackson,et al.  Special Issue Article: Advancing Environmental Conservation: Essays In Honor Of Navjot Sodhi Global food security, biodiversity conservation and the future of agricultural intensification , 2012 .

[21]  P. Strobl,et al.  Pan-European distribution modelling of stream riparian zones based on multi-source Earth Observation data , 2013 .

[22]  Paracchini Maria-Luisa,et al.  High Nature Value Farmland in Europe - An Estimate of the Distribution Patterns on the Basis of Land Cover and Biodiversity Data , 2008 .

[23]  C. A. Mücher,et al.  Modelling the spatial distribution of linear landscape elements in Europe , 2013 .

[24]  Roy Haines-Young,et al.  Common International Classification of Ecosystem Services (CICES): Consultation on Version 4, August-December 2012 , 2013 .

[25]  P. Strobl,et al.  Assessment of status and trends of olive farming intensity in EU-Mediterranean countries using remote sensing time series and land cover data , 2011 .

[26]  Soille Pierre,et al.  The IMAGE-2006 Mosaic Project , 2011 .