MAPPING AND ASSESSMENT OF ECOSYSTEMS AND THEIR SERVICES IN HUNGARY

Átírás

1 MAPPING AND ASSESSMENT OF ECOSYSTEMS AND THEIR SERVICES IN HUNGARY Mr. Attila András TAKÁCS Ph.D. ed. MAES NFP Ministry of Agriculture Department of Nature Conservation

2 PROJECT FACTS Strategic Investigations on the long-term preservation and development of natural heritage of Community Importance and on the implementation of the EU Biodiversity Strategy 2020 objective Beneficiary: Ministry of Agriculture Partners: Hungarian Acedemy of Scieces Centre for Ecological Research Hungarian Institute for Remote Sensing, Hortobágy National Park Directorate, Kiskunság National Park Directorate Project area: Natura 2000 network, natural and close-to-nature ecosystems total area of Hungary Project timeframe: Preparation : Implementation: Budget: (1,07 billion HUF)

3 PROJECT DESIGN My colourful green nature

4 PROJECT ELEMENTS Species / habitats of Community interest, conservation status, field survey, habitat mapping, conservation plan, Natura 2000 funding - national action plan Landscape character types, landscape character areas, delineation, national methodology and database, evaluation, quality objective, monitoring Natural and close-to-nature ecosystems, mapping, status assessment, priority list of ecosystem services, economic and social evaluation, participatory involvement strategy National Green Infrastructure Network, Basic State Map, Conflict Areas, National Development Plan, Restoration Target Areas, Methodology

5 GOAL SYSTEM: 3 COMPREHENSIVE GOAL + 1 GENERAL EXPECTATION; 47 SPECIFIC GOALS ECOLOGICAL ASSESSMENT, STATE SURVEY DEVELOPMENT OF THE CONSERVATION INSTRUMENT SYSTEM 1 2 biotic data, prevalence and distribution maps; national ecosystem map and state maps; national database for the status assessment of landscape character areas; Green Infrastr. Network Map etc. sampling methodologies; methodology for mapping and evaluating national ecosystems; guide for monitoring landscape character changes; national green infrastructure development plan etc. INVOLVMENT, PARTICIPATION, AWARENESS-RISING 3 Expert Cooperation Platform; policy - interdisciplinary participation mechanisms; local participatory planning methodology; awareness-raising actions etc. Tasks arising from conventions, strategies, policies + EU Habitats and Birds Directive, EU Biodiversity Strategy 2020; National Strategy for the Conservation of Biodiversity ( ); European Lands Convention (Act no CXI of 2007) etc.

6 PROJECT MANAGEMENT Managing Authority Project Leader Project management supporting units (MA) Project Steering Committee Consortium Partners Kiskunság NPD Professional leader Project Integration Working Group Nature Conservation Dept. National Park and Landscape Protection Dept. Finance Dept. Personnel and Admin. Dept. Project Management and IT Dept. Hortobágyi NPD Centre for Ecological Research Hungarian Institute for Remote Sensing Natura 2000 Ecosystem services (MAES-HU) Working Groups Data & GIS Landscape character Green Infrastructure Supplier Partners

7 WORKING GROUPS OF THE MAES-HU PROJECT ELEMENT Working Group on Data Acquisition, Management and GIS (DAMG) NATURA MAES-HU Landscape character Green Infra

8 WORKING GROUPS OF THE MAES-HU PROJECT ELEMENT

9 NATIONAL MAES BOARD Civil Government Science Civil Business Civil Fishery Civil Forestry Civil NC Civil NC Gov. Finance Gov. Fishery Gov. Forestry Gov. Nature Management Gov. NC Gov. NC Gov. Regional Development Gov. Statistics Gov. Water Gov. Water Sust.Dev.Council Science Agri Science Ecology Science Ecology Science Economy Science Forestry Science Hydrobiol. Science Remote Sensing Science Soil Tourism Név Szervezet 1 Dr. Báldi András (elnök) MTA Ökológiai Kutatóközpont 2 Érdiné dr. Szekeres Rozália FM - Természetmegőrzési Főosztály (társelnök) 3 Balczó Bertalan FM- Nemzeti Parki és Tájvédelmi Főosztály 4 dr. Bartus Gábor Nemzeti Fenntartható Fejlődési Tanács 5 Dr. Csóka György ERTI - Erdészeti Tudományos Intézet, Mátrafüredi Kísérleti Állomás 6 Csörgits Gábor FM - Horgászati és Halgazdálkodási Osztály 7 Dr. Dérer István MOHOSZ - Magyar Országos Horgász Szövetség 8 Dr. Dévai György Debreceni Egyetem - Hidrobiológia Tanszék 9 Fleischer Tamás MTA Közgazdaság- és Regionális Tudományi Kutatóközpont Világgazdasági Intézet 10 Juhász Anikó Agrárgazdasági Kutató Intézet 11 Dr. Körmöczi László Szegedi Tudományegyetem Ökológiai Tanszék 12 Kovács Péter Belügyminisztérium Vízgyűjtő-gazdálkodási és Vízvédelmi Főosztály 13 Dr. Kristóf Dániel FÖMI - Földmérési és Távérzékelési Intézet, Térinformatikai Osztály 14 Láng István Ágoston Országos Vízügyi Hivatal - Műszaki Igazgatóság 15 Lomniczi Gergely Országos Erdészeti Egyesület, NFFT tagja 16 Márta Irén BCSDH- Magyarországi Üzleti Tanács a Fenntartható Fejlődésért 17 Mártonné Máthé Kinga Magyar Turisztikai Ügynökség Zrt. 18 Dr. Pomázi István NGM - Nemzetgazdasági Minisztérium 19 Dr. Pásztor László MTA AGRÁRTUDOMÁNYI KUTATÓKÖZPONT Talajtani és Agrokémiai Intézet 20 Sipos Ferenc Kiskunsági Nemzeti Park Igazgatóság 21 Sipos Katalin WWF ( Világ Természeti Alap) Magyarország 22 Szepesi András Földművelésügyi Minisztérium Erdészeti és Vadgazdálkodási Főosztály 23 Tipold Ferenc Nemzetgazdasági Minisztérium Területfejlesztési Tervezési Főosztály 24 Dr. Valkó Gábor KSH - Vidékfejlesztési, mezőgazdasági és környezeti statisztikai főosztály 25 Zólyomi Ágnes CEEweb a Biológiai Sokféleségért

10 MAES-HU GIS WG Data requirement survey, & analysis Selection of required bio-physical variables Meta-data creation Elaboration of a common data model Coordination of data procurement Planning of data supply Free Copernicus data (CLC, HRL, Local Component LC/LU) External thematic datasets (Soil, forest, LPIS, hydrography,..) Own dataset within project partners (Elevation, water log,..) Processing earth observation data Agreement with data supplyers Procurement Challenges - Unknown data requirements - Data policy Maintenance / sharing data Internal data model (control, conversion) Data sharing within project (documented access) Coordination and support of GIS tasks Data integration, SQL queries, modelling Elaboration of Ecosystem base map with integration of available data Classification and integration of EO data

11 MAES-HU GIS WG ECOSYSTEM MAPPING EAGLE EXPERIENCES EEA EAGLE project experiences EAGLE data modell: description of land with characteristics, instead of classifiaction Land Cover Components (LCC): abiotic surfaces, vegetation, water Land Use Attributes: agriculture, forestry, industry, transportation, etc Land Cover Characteristics: spatial pattern, bio-physical parameters, ecosystem types, cultivation measures, land management practices etc Methodology of the combination of data Case study: creation of a national HR CLC layer based on available European and national thematic data (bottom-up) Source data EAGLE target map Experiences are buil-in to the methodology of national Ecosystem mapping Copernicus layers National datasets Satellite data (incll. Sentinels) National orthophoto I.a: Translation INPUT layers EAGLE layers EAGLE layers (20m raster) I.b: Direct creation of EAGLE layers II: Querying EAGLE layers high-res CLC High-res CLC (20m raster) III: Generalization High res CLC European CLC European CLC 25 ha MMU

12 METADATA EDITING Meta-adat format and content INSPIRE core metadata XML / PDF Meta-data creation Harmonization of meta-data requirements Primary service of meta-data (supplyier) Contorl and finalization of meta-data Meta-data sharing Download service Meta-data service (optional)

13 PILOT AREA - ÁGASVÁR Forestry Information System (FIS) Complex data system RDB Geometry: forest compartments

14 SOIL DATA - KUNBARACS Interpolated physical parameters of the upper layer of soil DoSoReMi database HAS Soil Research Institute clay content sand fraction mud content lime content ph average depth of ground water productive layer - forest productive layer - agriculture

15 PILOT AREA - KUNBARACS FIS forest type Land Parcel Identification System landcover 2016 Habitat map - NGHS Habitat map + Copernicus HRL (FTY) Habitat map + tree cover (1m)

16 Natural colour areal photo, 2015 KISKUNSÁG, KELEMEN-SZÉK

17 Sentinel-2 satellite image, 2016 KISKUNSÁG, KELEMEN-SZÉK

18 KISKUNSÁG, KELEMEN-SZÉK Sentinel-2 satellite image, habitat map boundaries

19 KISKUNSÁG, KELEMEN-SZÉK Ecosystem map derived form the habitat map reclassification (level 1)

20 KISKUNSÁG, KELEMEN-SZÉK Land Parcel Identification System landcover 2016 ecosystem reclassification (level 1)

21 KISKUNSÁG, KELEMEN-SZÉK Copernicus riparian zones landcover compliance of habitat categories

22 Copernicus land monitoring data integration (geo-databases + 20 m raster layers): Urban Atlas 693 cities Riparian Zones 48 water N2K sites

23 CATEGORIES OF THE HUNGARIAN ECOSYSTEM MAP 1 3 level system: Level 1 6 categories (MAES basic) Level 2 19 categories (e.g. open/closed grass) Level 3 37 categories refined and aggregated national habitat map (NGHS) categories Key: - Potential habitat information by integrating site data Mapping by existing (available) database - Mapping by remote sensing data

24 CATEGORIES OF THE HUNGARIAN ECOSYSTEM MAP 2

25 CATEGORIES OF THE HUNGARIAN ECOSYSTEM MAP 3

26 RESULTS ECOSYSTEM BASE MAP (LEVEL 1)

27 RESULTS ECOSYSTEM BASE MAP (LEVEL 3)

28 THE ORIGINAL NGHS RECLASSIFIED TO THE MAES- HU CATEGORIES

29 MAES-HU PARTICIPATION WG 1 Background 1. Importance of stakeholder involvement Legitimacy + Relevance + Credibility 2. MAES-HU stakeholder analysis Primary stakeholders: 62 organizations from 4 sectors, 98 experts Main stakeholders: 21 governmental, 13 civil, 8 for-profit, 6 academic organizations 3. MAES-HU participatory strategy best practices from the EU relevant experience from the preparatory phase 2-way communication both the outcome and the process are important

30 MAES-HU PARTICIPATION WG 2 Preparatory phase Interviews with primary stakeholders 4 workshops 13 priority ES selected Forests & tree plantations Surface waters & wetlands Grasslands & agroecosystems Urban areas Panel of Experts

31 MAES-HU PARTICIPATION WG 3 Implementation phase Panel of Experts (2-3 times a year) 6 thematic WGs of experts (2 times a year) Workshops Scenario building and evaluation 1 or 2 conferences (towards the end of the project 2020) and onwards Continuous monitoring of efficiency refinement and reiteration The project serves as a foundation for future collaboration

32 MAES-HU PARTICIPATION WG 4 Source of inspiration Understanding each other Mutual learning Re-evaluation of previous values Motivation for further collaboration

33 MAES-HU PARTICIPATION WG 5 The main conclusions from participatory priorisation of ES Integration of several ES into one (e.g. in case of cultural ES) Definitions are not clear, some are ambivalent Both definitions and names were refined and slightly adapted The issue of water as an ES is highly controversial Selected as an indication of ecosystem status (not ES): Soil formation and composition Maintaining nursery populations and habitats Invasive control / Resilience

34 ECOSYSTEM SERVICES PARTICIPATION LIST 1 The main outcome of the participatory priorisation process: Provisioning Services 13 selected ecosystem services Plants grown in agro-ecosystems Farmed animals and their products Plant energy sources

35 ECOSYSTEM SERVICES PARTICIPATION LIST 2 Regulation & Maintenance Services Filtration / Purification / Constraint by Ecosystems Reduction of visual / noise / odor effects Protection against surface degradation Hydrological cycle and water flow maintenance Flood protection and rainwater management Animal pollination and seed distribution Climate regulation (incl. C-sequestration) Microclímate regulation

36 ECOSYSTEM SERVICES PARTICIPATION LIST 3 Cultural Services Use of nature for recreational purposes Cultural Heritage

37 ECOSYSTEM CONDITION MAPPING IN HUNGARY 1 No final methodology yet it is under preparation Proceeding parallel with the EU MAES process ( we try to fit our methodology to the forming principles and build on the existing experience) We are planning to use the maps as an input to the Ecosystem Service mapping but should also be useful for environmental policy and conservation purposes The minimum set of indicators that must be mapped on national level: Naturalness Habitat type diversity Soil productivity

38 ECOSYSTEM CONDITION MAPPING IN HUNGARY 2 3 TYPES OF INDICATORS Condition indicators specific of certain ecosystem services Significant added value by humans, the value added by the ecosystem can be best expressed at the level of condition Will be selected by the MAES-HU Ecosystem Service WG General condition indicators Direct (state & biodiversity) Indirect (pressure indicators)

39 ECOSYSTEM CONDITION MAPPING IN HUNGARY 3 Group Possible indicator Data requirements Available database Scale Naturalness Presence of indicator species - Species occurrence data Data gathered for reporting under the Habitat 10x10 km ecosystem type specific Directive + gathered by NP-s, NGO-s Ecosystem-type specific approaches e.g. forest naturalness national forestry database - (eg. Forest naturalness category in forest managmenet plans) Conservation status Conservation status Natura2000 reports 20 m (same as the ecosystem map) Land use intensity (ecosystem-type type-specific approaches different data sources - specific) Invasive species Species occurrence data - - Distance from roads Ecoystem map, roads OSM 20 m (same as the ecosystem map) Habitat diversity Habitat patch density Ecoystem map, naturalness - 20 m (same as the ecosystem map) Shannon-Wiener index Ecoystem map, naturalness - 20 m (same as the ecosystem map) Simpson index Ecoystem map, naturalness - 20 m (same as the ecosystem map) Soil quality Carbon content of soil Carbon content of soil DoSoReMi?? Soil depth Soil depth national forstry database, DoSoReMi? Other landscape-level Fragmentation Ecoystem map, roads OSM indicators Connectivity ökoszisztéma térkép - Game Number or density of the most Vadgazdálkodási Adattár game management units importat species Effects of climate change Frequency of drought drought data for a given period CARPATCLIM, Drought Info 0,1 degree Loss of habitat Areal change CLC CLC, CLC change layers min. 5 ha patches Vegetation health Vegetation indices MODIS, Sentinel, Landsat, national forestry database, remote sensing - methods, etc. Pollution The amount of pesticides used The amount of pesticides used?? Suggested (general) indicators at the current stage to be further refined. Red: pressure indicators; Blue: state indicators

40 ECOSYSTEM CONDITION MAPPING IN HUNGARY 2 TASKS FOR THE NEXT MONTHS 1. Finalizing the set of condition indicators (involving ecosystem service experts, conservation experts, also considering data availability) 2. Working out the precise methodology for the calculation and mapping of the chosen indicators 3. Mapping the indicators

41

42 SPECIAL THANKS FOR ALL EXPERTS SUPPORTING THE MAES-HU PROCESS Among many others: Árgay Zoltán; Báldi András Dr.; Ádám Szilvia; Balczó Bertalan; Bartus Gábor dr.; Bauer László; Belényesi Márta Dr.; Csóka György Dr.; Csörgits Gábor; Csőszi Mónika; Dedák Dalma Zsuzsanna; Dérer István Dr.; Dévai György Dr.; Dobozi Nóra; Égi Márton; Érdiné dr. Szekeres Rozália; Fleischer Tamás; Gallai Zsófia; Juhász Anikó; Kalóczkai Ágnes; Kisné Dr. Fodor Lívia; Kiss Márton; Koczka Krisztina; Kosztra Barbara; Kovács Eszter Dr.; Kovács Péter; Kovács-Hostyánszki Anikó Dr.; Körmöczi László Dr.; Kristóf Dániel Dr.; Láng István Ágoston; Legény Árpád; Lehoczky Róbert; Lomniczi Gergely; Lőrincz Tamás; Marczin Örs; Márta Irén; Mártonné Máthé Kinga; Maucha Gergely; Nagy Gergely Dr.; Pásztor László Dr.; Pataki Róbert; Pomázi István Dr.; Sipos Ferenc; Sipos Katalin; Somodi Imelda Dr.; Sulyán Péter Gábor; Szepesi András; Tanács Eszter Dr.; Tipold Ferenc; Tóth Péter; Török Katalin Dr.; Valkó Gábor Dr.; Zólyomi Ágnes; Zölei Anikó; Zsembery Zita

43 T E R M É S Z E T V É D E L E M Contact: Attila András TAKÁCS Ph.D. Ministry of Agriculuture attila.andras.takacs@fm.gov.hu 43