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Ecological monitoring along the Belgium coast

Sam Provoost

Research Institute for Nature and Forest

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This talk…

About ecological monitoring

Challenges along the Belgian coast Overview & examples

Conclusions & recommendations

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Ecological monitoring…

Monitoring (s.l.)

(4)

Current biodiversity issues

Decline of coastal dynamics Habitat loss & fragmentation

Succession (grass/scrub encroachment) Invasive alien species

Tourist pressure

Groundwater extraction Agriculture

Atmospherical deposition Climate change

...

(5)

Monitoring need

1) Nature conservation

‘Biodiversity Status’ + management evaluation

Natura 2000, sustainability indicators (Coastal Compass)… 2) Ecosystem services/uses

E.g. coastal protection (barrier strength), recreation, … Ecological impact

(6)

Monitoring need

Coast = exceptionally rich & specific Belgian coast: ± 20 000 species

Human pressure = high

Large investment in nature restoration (LIFE)

(7)

What is the problem?

Large overlap in information needs Resource limitation & fragmentation Many initiatives (e.g. MONAIJ, PINK, ZTAR, …)

Lack of continuity

Lack of information exchange

No coherent ecological monitoring program

(8)

Strategy

General ecosystem monitoring

( Project based, targeted monitoring)

 Basic inventory (holistic), long term

 System status + change detection (multiple goals)

 Solid foundation for scientific hypothesis

 Integration: pool resources & demands

 Based on understanding of the system & common sense

 Robust; independence of ‘trends’ in society

(9)

Strategy

ECOSYSTEM

Abiotic variables Habitat level

Species level

SOCIETY

Land ownership

Management database Tourist infrastructure

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Monitoring in practice

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I) Abiotic variables

Meteorology Geomorphology

Hydrology/Hydrography Soil

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Meteorology

Many processes strongly climate dependant Climate change

Royal Meteorological Institute = federal organisation…

0 10 20 30 40 50 60

01 jan 01 01 feb 01 01 mrt 01 01 apr 01 01 mei 01 01 jun 01 01 jul 01 01 aug 01 01 sep 01 01 okt 01 01 nov 01 01 dec 01

mm neerslag

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Geomorphology  elevation models

Beach (2x / year): LiDAR

Dynamic dunes & salt marsh (± 1x / 3years)

Geomorphodynamics = essential characteristic of coastal systems Data acquisition by coastal protection agency

Future …?

(14)

Geomorphology  Salt marsh

Cm-changes

GPS + Sed-Ero plots

Impact assessment (dredging, …) Integration with LiDAR

No long term resources

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II) Habitat level

Vegetation mapping Permanent plots

Aquatic vegetation (ponds)

(16)

Vegetation mapping

Detailed vegetation map 1/1500 Vegetation dynamics

Management planning & evaluation Research: habitat modelling…

So far about 1/3 of coast mapped

- Class - Code - Dominant - Subdominant

Fixed typology

(several 100s types)

(17)
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Accountancy of habitat types

Automated translation to Natura 2000 types Maintain detail + quality information

Still not really accepted as method

0 50 100 150 200 250 300 350

Opp (ha)

Onbegroeid Schaarsbegroeid Open helmduin Gefixeerd helmduin Mosduin Duingrasland Grasruigte/Duinroos Dauwbraam Duinvallei(/Kruipwilg) (Natte) ruigte Kruipwilg Duindoornstruweel Ligusterstruweel Overig struweel (Loof)bos Water Pad/Antropogeen

(19)

IJzermonding

(20)

Baai van Heist

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Zwin

1140 1310 1320 1330

IJzermonding 23.8 7.8 0.3 3.6

Baai van Heist 0.7 4.5

Zwin 5.6 27.2 86.6

29.4 35.6 0.3 94.7

160.1

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Remote sensing ??

LiDAR Vegetation height

Excellent scrub & woodland discrimination

Kempeneers et al. 2009 – Journal of Coastal Research

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NIR

Red

Remote sensing

Multispectral images

Discrimination within low vegetation

Complementary to LiDAR

(24)

Remote sensing

Satisfactory classification of general vegetation (structure) types in dunes (salt marsh…??)

Vegetation mapping program of coastal protection agency stopped

(25)

Vegetation plots

Process evaluation (e.g. grazing management) Habitat evaluation

Habitat quality assessment (Natura 2000 reporting) Dunes: actually 280  to be extended tot 600

(26)

Vegetation plots

Salt marsh  transects

Not used for Natura 2000 quality assessment ?

1996

2006

(27)

III) Species level

Flora

Cryptogams & fungi Mammals

Birds

Amphibians & reptiles Invertebrates

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Flora

About 260 rare (indicator/target) species Mapping of entire population

Actually > 100 000 records

(29)

Flora

Rank

Abundance (# squares)

Sampling

Mapping of entire population

(30)

Asparagus prostratus

(31)

Flora

Powerful evaluation tool Future uncertain

(32)

Cryptogams, fauna & funga

Specific habitat quality indicators

 Fungi & beetles in marram dune

 Snails in salt marsh or dune woodland

Animals with large home range  Landscape evaluation Little fauna monitoring set up or continued…

(33)

Species

Need for cooperation with volunteers So far little coordinated action

(34)

Conclusions

Basic ecological monitoring

Integration

 Policy levels (e.g. Natura 2000  management)

 Sector needs (e.g. bidiversity and coastal protection)

 Management & research needs (entangled!)

 Resources

Biogeographical level (Atlantic Europe)

(35)

Conclusions

ICZM

 Need for powerful ICZM organisation

 Higher policy level (umbrella)

Financial implications

 Small compared to current investments

 Organisation >> cost

 Long term perspective

(36)

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