Use of SPOT 5 and IKONOS imagery for mapping biocenoses in a Tunisian Coastal Lagoon (Mediterranean Sea)

Vela, Alexandre; Pasqualini, Vanina; Leoni, Vanina; Djelouli, Aslam; Langar, Habib; Pergent, Gérard; Pergent-Martinì, Christine; Ferrat, Lila; Mrabet, R.; Djabou, Hanem

doi:10.1016/j.ecss.2008.05.014

Cited by 18 publications

(13 citation statements)

References 28 publications

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“…However, knowledge of C. nodosa in the Southern and Eastern Mediterranean Sea is limited (Mostafa ; Vela et al . ; Zakhama‐Sraieb et al . ; Sghaier et al .…”

Section: Introductionmentioning

confidence: 99%

Spatio‐temporal dynamics and biomass of Cymodocea nodosa in Bekalta (Tunisia, Southern Mediterranean Sea)

2017

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Leaf growth, biomass and production of Cymodocea nodosa were measured from October 2006 to September 2007 in Monastir Bay (Tunisia). Shoot density showed a clear seasonal pattern, increasing during spring and summer and decreasing during fall and winter. Monthly mean shoot density ranged between 633 ± 48 and 704 ± 48 shoots∙m−2. The monthly average total biomass ranged between 560 ± 37 and 646 ± 32 g dry weight (DW)∙m−2. Total biomass varied significantly among stations and sampling times but did not show seasonal variation. Leaf plastochrone intervals varied seasonally, with an annual average of 28–30 days. Leaf productivity was highest in August (2.61 g DW∙m−2∙day−1) and lowest in February (0.35 g DW∙m−2∙day−1). Annual belowground primary production varied from 263 to 311 g DW∙m−2∙year−1. Annual leaf production was approximately equal for all the stations (from 264 to 289 g DW∙m−2∙year−1). Variability in water temperature, air temperature and salinity explained the annual variability in biological characteristics. Changes in belowground and total biomass were not correlated with seasonal variability in the environmental parameters monitored. Additionally, a literature review was conducted of C. nodosa features at other Mediterranean sites, encompassing 30 studies from 1985 to 2014.

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“…However, knowledge of C. nodosa in the Southern and Eastern Mediterranean Sea is limited (Mostafa ; Vela et al . ; Zakhama‐Sraieb et al . ; Sghaier et al .…”

Section: Introductionmentioning

confidence: 99%

Spatio‐temporal dynamics and biomass of Cymodocea nodosa in Bekalta (Tunisia, Southern Mediterranean Sea)

2017

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“…Other remote sensing methods for seagrasses include satellite imagery (McKenzie et al 2001;Gullstrom et al 2006;Vela et al 2008), the compact airborne spectrographic imager (CASI, Garono et al 2004) or predictive models based upon LiDAR data (Valle et al 2011). The results of these methods are also dependent upon water clarity (Vela et al 2008;Barrell and Grant 2013) and water column optical properties, and Kirkman (1996) quite correctly states that 'Satellite images of underwater habitats are notoriously difficult to identify and interpret'.…”

Section: Introductionmentioning

confidence: 99%

“…The results of these methods are also dependent upon water clarity (Vela et al 2008;Barrell and Grant 2013) and water column optical properties, and Kirkman (1996) quite correctly states that 'Satellite images of underwater habitats are notoriously difficult to identify and interpret'. More recent analyses of this issue are no less critical (Shao and Wu 2008).…”

Section: Introductionmentioning

confidence: 99%

Bay-scale assessment of eelgrass beds using sidescan and video

Vandermeulen

2014

Helgol Mar Res

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The assessment of the status of eelgrass (Zostera marina) beds at the bay-scale in turbid, shallow estuaries is problematic. The bay-scale assessment (i.e., tens of km) of eelgrass beds usually involves remote sensing methods such as aerial photography or satellite imagery. These methods can fail if the water column is turbid, as is the case for many shallow estuaries on Canada's eastern seaboard. A novel towfish package was developed for the bay-scale assessment of eelgrass beds irrespective of water column turbidity. The towfish consisted of an underwater video camera with scaling lasers, sidescan sonar and a transponder-based positioning system. The towfish was deployed along predetermined transects in three northern New Brunswick estuaries. Maps were created of eelgrass cover and health (epiphyte load) and ancillary bottom features such as benthic algal growth, bacterial mats (Beggiatoa) and oysters. All three estuaries had accumulations of material reminiscent of the oomycete Leptomitus, although it was not positively identified in our study. Tabusintac held the most extensive eelgrass beds of the best health. Cocagne had the lowest scores for eelgrass health, while Bouctouche was slightly better. The towfish method proved to be cost effective and useful for the bayscale assessment of eelgrass beds to sub-meter precision in real time.

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“…Global urbanization significantly affects estuary wetlands by altering, destroying or fragmenting natural habitats, which alters hydrological and geomorphological processes and degrades wetland functions [1][2][3][4]. Generally, the location, size, and shape of wetlands significantly influence ecosystem functions.…”

Section: Introductionmentioning

confidence: 99%

Wetland Transitions and Protection under Rapid Urban Expansion: A Case Study of Pearl River Estuary, China

Zhao¹,

Wang²,

Cai³

et al. 2016

Sustainability

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Understanding wetland changes under urbanization is important for wetland management. In this study, net transition intensity (NTI) and total transition intensity (TTI) are presented to characterize wetland transitions based on spatial data obtained from Landsat satellite images of Pearl River estuary in South China. NTI is commonly used to represent changes in absolute amounts for each class of wetland, while TTI reflects the internal transition activities and amounts. The third index, the urbanization intensity index (UII), is used to investigate the intensity and velocity of urban land expansion at the same time periods. The results show that one-third of the total wetland area was lost from 1979 to 2009 in the study area and seven types of estuarine wetlands were degraded. The basic pattern of wetland transition is from natural wetlands to constructed wetlands and then to urban lands. Intertidal mud and sand and paddy fields were the major natural and constructed wetlands, respectively, transferred to urban lands. The TTI value was generally greater than the NTI value for these wetlands. TTI >> NTI is an important indicator for wetland transitions under rapid urban expansion in the Pearl River estuary. Based on the integration of the two indices (NTI and TTI), a protection and management plan framework for the Pearl River estuary wetlands is proposed. This plan emphasizes the key and important zones and their different features, and includes actions that can be implemented in and around natural and constructed wetlands.

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Use of SPOT 5 and IKONOS imagery for mapping biocenoses in a Tunisian Coastal Lagoon (Mediterranean Sea)

Cited by 18 publications

References 28 publications

Spatio‐temporal dynamics and biomass of Cymodocea nodosa in Bekalta (Tunisia, Southern Mediterranean Sea)

Spatio‐temporal dynamics and biomass of Cymodocea nodosa in Bekalta (Tunisia, Southern Mediterranean Sea)

Bay-scale assessment of eelgrass beds using sidescan and video

Wetland Transitions and Protection under Rapid Urban Expansion: A Case Study of Pearl River Estuary, China

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