Remote sensing-based spatial modelling for Natura 2000 management at large scale: from habitat monitoring to site selection JM Álvarez-Martínez [email protected]J.M. Álvarez-Martínez, S. García, B. Jiménez-Alfaro, A. Silió-Calzada, M. Recio, J. Barquín, B. Ondiviela, I. Pérez Silos, and J. Juanes
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Remote sensing-based spatial modelling forNatura 2000 management at large scale:
J.M. Álvarez-Martínez, S. García, B. Jiménez-Alfaro, A. Silió-Calzada, M. Recio, J. Barquín, B. Ondiviela, I. Pérez Silos, and J. Juanes
A need for spatial data: patterns, process, dynamics and functioning
of natural and seminatural systems (N2000)
20122010
SIOSE: Sistema de Información sobre Ocupación del Suelo de España (CNIG)
CLC (CORINE): CoORdinationof INformation of the Environment (EEA)
Land use-land cover typologies
Vectorial format: user-defined
Not homogeneous land cover patches: mapping habitats?
Limited or no temporal resolution: monitoring?
Traditional inventory: visual interpretation and digitalization
LAND COVER MAPPING
§ High cost (time, people)
§ 5 to 7 years (pilot area)
§ Difficult to update (no temporal resolution)
Traditional inventory
§ Lack of spatial data
§ Need for trainedsurveiers
§ Mixed patches
LAND COVER MAPPING
A cost-effective solution for
large scale mapping based
on optimal field surveys
(adaptive sampling), remote
sensing and habitat and
species modelling
LAND COVER MAPPING
Remote sensing-based spatial modelling
CASE STUDY: MONITORING
Management plan
Mapping broad-scale vegetation patterns in complex mountainous territoriesHabitat maps using modelling techniques in SCIàSACof Natura 2000 Network in Cantabria (NW Spain)26% of Cantabria. 25 hábitats…
3. Local actions,
cost, monitoring
1. Spatial
distribution
2. Conservation
Status
Annex I
Atlantic biogeographical
region (NW Spain)
Vegetation DB:
National maps
Regional programs
Fieldwork
Predictor layers
Limiting factors
Remote sensing
Monitoring and reporting
Conservation status
CASE STUDY: SITE SELECTION
Álvarez-Martínez et al, 2017
3. SAC definition
1. Spatial
distribution
2. Conservation
Status
Annex I, II
SWOT ANALYSIS
Cost-effective solution for large scale mapping
We have to get information in a quick, effective, homogeneous and dynamic manner
Álvarez-Martínez et al, 2017
We do not end up with available tools (year 2017 and so on) and outputs…
Patron List of Spanish Habitat types Download from MITECOResolución de 17 de febrero de 2017, de la Secretaría de Estado de Medio Ambiente, por la que se establecen tres listas patrón: la de las especies terrestres, la de las especies marinas y la de los hábitats terrestres, presentes en España - Texto de la Resolución
Allows managing lots of spatial data in a same process to:
§ Identify the smaller number of planning units (that
means the optimal solution),
§ That are necessary to meet at the same time targets
for all the biodiversity,
§ Maximazing connectivity and coherence of the system
§ With the minimal cost
MARXAN
MARXAN PROPOSAL
Data-driven proposal of N2000 sites
Expert judgement usign a
Delphy methodology, asisted
by GIS information
Group AHABITAT THREATS
EXPERT KNOWLEDGE
Expert-driven refinement of N2000 sites
Connectivity at a regional
and interregional scale
Replication and
geographic
distribution
Closer to other
protection figuresSize (better bigger
than smaller)
Socioeconomic features
without spatial data for all
CAPA (present and future)
Compactness
(better round than
irregular-long areas)
EXPERT KNOWLEDGE
Natura 2000 potential sites in Central Anatolia
MANAGEMENT AND REPORTING
We need to get an approach that allows:
§ Information flow for updated data
§ Query system for adaptative management
A management system for N2000:
§ Automatic reports: sexenial reports (art 17)
§ Prioritised Action Frameworks (PAF)
MANAGEMENT AND REPORTING
Standard Data Form
ConservationStatus
Managementplans
Reportsproduction
Assesmentof effects
• Art. 17• PAF• Non Effects
DRIADE
Close
ZEC 00003
Fecha de actualización
Conservation status
Documento Legislativo de designación
HabitatCode
Documento Legislativo de designación
Fecha de actualización
Distribution area Structure and Function Global EvaluationFuture perspectives
Area: Ha
Mapa: Place
Region
Turkey
UE
Word
Quality of the data
Last update:
Tendency:
Observaciones:
Save
Impacto negativoR Código Presión/Amenaza OA A04.03 Abandono de los sistemas de pastoreoA A08 Uso de fertilizantes M D01.01 Sendas, pistas, carriles para bicicletas M
B02.04Eliminación de árboles muertos o
deterioradosB G091.02.03 Conducción motorizada todoterreno RB G05.01 Pisoteo, uso excesivoA
J03.01
Disminución o pérdida de las
características específicas de un
hábitat B K01.01 Erosión M
K02.01Cambios en la composición de especies
(sucesión)
R
MI01
Especies invasoras y especies
alóctonasM M02.03 Declive o extinción de especies
Impacto positivo R Código Actividad/Gestión OA A04.02.02 Pastoreo de ovejas no intensivo RM A04.02.03 Pastoreo de caballos no intensivo RA
A06.01.02Cultivos anuales no intensivos
para
producción de alimento
R
MB02.05
Sacas no intensivas (dejando
madera muerta/ árboles viejos
intactos )
R
F I M D
Área de distribución
Estructura y
funciónPerspectivas
futuras
Evaluación Global
F: FavorableI: InadecuadaM: MalaD: Desconocida
I: Intensidad; O: Observaciones
Obs:
Dry heathlands4210
Bibliography:- Sanz-Azkue I. & I. Olariaga. Uribe-Echebarría P. M., I. Zorrakin, J. A. Campos & A. Domínguez.