
A GIS Application for the Study of the Structure and the Dynamic
of Seagrass Beds at Large Scale: Example of Posidonia Oceanica Beds in the
Bay of Saint-Cyr (France, Mediterranean Sea)
Agathe Leriche, Charles-François
Boudouresque
Centre d'Océanologie de Marseille, UMR CNRS n°6540,
Marseille (FR)
Posidonia oceanica (Linnaeus) Delile is
a seagrass endemic to the Mediterranean Sea which constitutes extensive meadows
from sea level down to 25-40 m depth (depending on water transparency). From
the biological and physical perspective, P. oceanica beds represent a key
ecosystem in terms of primary production, export of detritus towards other
ecosystems (Pergent et al., 1994), species diversity (Boudouresque et al.,
1994), spawning and nursery opportunities for species of fishery interest
(Francour, 1997), water movement and sediment flows (Gambi et al., 1989).
Due to its ecological role P. oceanica is now a protected species in Spain
and France.
A number of studies have shown that P. oceanica beds are very sensitive to
disturbance caused by human activity, e.g. coastal development (Meinesz et
al., 1991), pollution (Delgado et al., 1999; Pergent et al., 1999), turbidity
(Ruiz & Romero, 2001), anchoring (Porcher, 1984; Francour et al., 1999)
and trawling (Ardizzone & Pelusi, 1984; Sánchez-Lizaso et al.,
1990; Martín et al., 1997; Pasqualini et al., 1999, 2000) and their
disappearance has been observed in a number of regions (e.g. Augier &
Boudouresque, 1970; Meinesz et al., 1991; Ramos-Esplá et al., 1994).
At the fine spatial scale of study, the structure of P. oceanica beds can
always be explained by the level of the human impact or by highly unusual
natural processes (e.g. freshwater resurgence). At large scale however, there
is often a wide diversity of structures in seagrass beds which does not appear
to be in direct relation to human activity. The aim of this work (doctoral
thesis funded by the Conseil Régional Provence-Alpes-Côte d'Azur
and Méditerranée 2000, in collaboration with IFREMER and the
University of Corte) is to assess whether structure and spatial and temporal
variations of P. oceanica beds are explainable by direct human pressure alone
or whether other processes have an influence on them. It requires manipulation
and crossing of numerous spatial and temporal data and is thus well suited
to GIS analysis.
The database is organized similarly for the four study areas
of the thesis project. Here, results are presented for only one site: the
Saint-Cyr Bay. Potential human impact on this site takes the form of the port
facilities of La Ciotat, two small pleasure boat harbors (Les Lecques and
La Madrague), seaside tourism and trawling. Data concerning seagrass beds
are the first type of data log in the GIS (ArcView 3.2® software), including:
- Qualitative present data: aerial photographs (taken in July
2000) and sonograms (campaign of side scan sonar in July 2000) of study
area are logged in the GIS and geometrically corrected by means of the extension
Géoref-Image® version 2.2b of ArcView 3.2® software. Feature
extraction process by means of ImageAnalysis® extension with manual
corrections is applied. Spatial qualitative data on P. oceanica beds are
logged out in the form of a map of seagrass beds present distribution (after
scuba diving ground truth).
- Qualitative ancient data: ancient aerial photographs and
maps. Aerial photographs (dating from 1944 to 1999) are processed in the
same way as the present day photographs. Ancient maps (dating from 1887
to 1999) are digitized, logged in the GIS and the limits of the seagrass
bed and the shoreline is manually redrawn after geometric correction. To
be usable, the reliability of the ancient maps must be estimated. A reliability
index (RI) is calculated for each map and is incorporated in the database.
- Quantitative present data: coverage, shoot density, rhizome
baring and plagiotropic rhizome percentage, leaf coverage by epiphytes and
grazing pressure were measured by scuba diving on 33 points distributed
along 9 transects. These parameters, used for estimating vitality of a P.
oceanica bed (Marcos-Diegos et al. 2000), are logged into the database.
Geo-statistical GIS analysis underlines spatial structuring of data. These
quantitative present data are logged out in the form of an interpolated
map for each parameter. A map of normal/abnormal shoot density is established
by comparison with reference density according to depth (Pergent et al.,
1995).
The comparison between present and ancient qualitative data makes it possible
to establish spatial and temporal variations of the P. oceanica distribution
in the Saint-Cyr Bay since the beginning of the century. The comparison
with quantitative data allows determination of the dynamics and vitality
of the seagrass bed of the site and assessment of future possible variations
in the distribution of P. oceanica. This type of analysis on the complete
database (data for the four sites) will enable the authors to propose a
multicriterion grid of seagrass bed vitality, useful for decision makers.
The incorporation within the database of a second type of data, concerning
environmental conditions (both natural and human induced, e.g. presence
of harbors, estimation of anchoring and fishing effort, surface area of
coastal development, protected areas, water temperature, meteorological
data, etc.) will provide a basis for developing hypotheses about the factors
which control the seagrass beds structure and dynamics.
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