Use of Habitats as Surrogates of Biodiversity for Efficient Coral Reef Conservation Planning in Pacific Ocean Islands

Dalleau, Mayeul; Andréfouët, Serge; Wabnitz, Colette C.C.; Payri, Claude; Wantiez, Laurent; Pichon, Michel; Friedman, Kim; Vigliola, Laurent; Benzoni, Francesca

doi:10.1111/j.1523-1739.2009.01394.x

Cited by 93 publications

(90 citation statements)

References 33 publications

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“…These values are considered adequate for management and planning purposes, for which a value of about 60% is generally recommended [3,39]. Moreover, the obtained results fall within the range of values found in current research results of coral reef habitat mapping [7,12,18,40].…”

Section: Accuracy Assessment Edge Similarity and Class Agreement Ressupporting

confidence: 69%

Comparison of Two Independent Mapping Exercises in the Primeiras and Segundas Archipelago, Mozambique

Teixeira

Hedley²,

Shapiro³

et al. 2016

Remote Sensing

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Production of coral reef habitat maps from high spatial resolution multispectral imagery is common practice and benefits from standardized accuracy assessment methods and many informative studies on the merits of different processing algorithms. However, few studies consider the full production workflow, including factors such as operator influence, visual interpretation and a-priori knowledge. An end-user might justifiably ask: Given the same imagery and field data, how consistent would two independent production efforts be? This paper is a post-study analysis of a project in which two teams of researchers independently produced maps of six coral reef systems of the archipelago of the Primeiras and Segundas Environmental Protected Area (PSEPA), Mozambique. Both teams used the same imagery and field data, but applied different approaches-pixel based vs. object based image analysis-and used independently developed classification schemes. The results offer a unique perspective on the map production process. Both efforts resulted in similar merged classes accuracies, averaging at 63% and 64%, but the maps were distinct in terms of scale of spatial patterns, classification disparities, and in other aspects where the mapping process is reliant on visual interpretation. Despite the difficulty in aligning the classification schemes clear patterns of correspondence and discrepancy were identified. The maps were consistent with respect to geomorphological level mapping (17 out of 30 paired comparisons at more than 75% agreement), and also agreed in the extent of coral containing areas within a difference of 16% across the archipelago. However, more detailed benthic habitat level classes were inconsistent. Mapping of deep benthic cover was the most subjective result and dependent on operator visual interpretation, yet this was one of the results of highest interest for the PSEPA management since it revealed a continuity of benthos between the islands and the impression of a proto-barrier reef.

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Section: Accuracy Assessment Edge Similarity and Class Agreement Ressupporting

confidence: 69%

Comparison of Two Independent Mapping Exercises in the Primeiras and Segundas Archipelago, Mozambique

Teixeira

Hedley²,

Shapiro³

et al. 2016

Remote Sensing

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“…In this context, some authors recommended to avoid water column correction in shallow waters, especially when the water surface, water column clarity and homogeneity are favorable to distinct shallow benthic features [22,23]. Insofar as both the water surface and column were amenable to distinguishing the surveyed benthic features, we processed the water-leaving reflectance, but designed a classification scheme integrating the water depth (not the water clarity) into the benthic class designation for the sake of accuracy (i.e., very shallow sand, shallow sand and ocean classes).…”

Section: Remotely-sensed Datamentioning

confidence: 99%

Bridging Ridge-to-Reef Patches: Seamless Classification of the Coast Using Very High Resolution Satellite

2013

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Abstract:The structure and functioning of coral reef coastal zones are currently coping with an increasing variety of threats, thereby altering the coastal spatial patterns at an accelerated pace. Understanding and predicting the evolution of these highly valuable coastal ecosystems require reliable and frequent mapping and monitoring of both inhabited terrestrial and marine areas at the individual tree and coral colony spatial scale. The very high spatial resolution (VHR) mapping that was recently spearheaded by WorldView-2 (WV2) sensor with 2 m and 0.5 m multispectral (MS) and panchromatic (Pan) bands has the potential to address this burning issue. The objective of this study was to classify nine terrestrial and twelve marine patch classes with respect to spatial resolution enhancement and coast integrity using eight bands of the WV2 sensor on a coastal zone of Moorea Island, French Polynesia. The contribution of the novel WV2 spectral bands towards classification accuracy at 2 m and 0.5 m were tested using traditional and innovative Pan-sharpening techniques. The land and water classes were examined both separately and combinedly. All spectral combinations that were built only with the novel WV2 bands systematically increased the overall classification accuracy of the standard four band classification. The overall best contribution was attributed to the coastal-red edge-near infrared (NIR) 2 combination (Kappa gain = 0.0287), which significantly increased the fleshy and encrusting algae (User's Accuracy gain = 18.18%) class. However, the addition of OPEN ACCESSRemote Sens. 2013, 5 3584 the yellow-NIR2 combination dramatically impacted the hard coral/algae patches class (Producer's Accuracy loss = −20.88%). Enhancement of the spatial resolution reduced the standard classification accuracy, depending on the Pan-sharpening technique. The proposed composite method (local maximum) provided better overall results than the commonly used sensor method (systematic). However, the sensor technique produced the highest contribution to the hard coral thicket (PA gain = 30.36%) class with the coastal-red edge-NIR2 combination. Partitioning the coast into its terrestrial and aquatic components lowered the overall standard classification accuracy, while strongly enhancing the hard coral bommie class with the coastal-NIR2 combination (UA gain = 40%) and the green-coastal Normalized Difference Ratio (UA gain = 11.06%). VHR spaceborne remote sensing has the potential to gain substantial innovative insights into the evolution of tropical coastal ecosystems from local to regional scales, to predict the influence of anthropogenic and climate changes and to help design optimized management and conservation frameworks.

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“…The advancement of remote sensing, which promised to revolutionize the monitoring and assessment of coral reefs [6], has not reached its full potential. Yet, more than ever there exists a need for regional scale, very high (i.e., 1-5 m) resolution mapping as a basis for within-country and trans-boundary coral reef assessment and prioritization [7,8]. Such an approach can help in identifying social-ecological benefits of managing critical habitats, thus minimizing potential conflicts in a multi use coastal area.…”

Section: Introductionmentioning

confidence: 99%

Designing Climate-Resilient Marine Protected Area Networks by Combining Remotely Sensed Coral Reef Habitat with Coastal Multi-Use Maps

et al. 2015

Self Cite

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Decision making for the conservation and management of coral reef biodiversity requires an understanding of spatial variability and distribution of reef habitat types. Despite the existence of very high-resolution remote sensing technology for nearly two decades, comprehensive assessment of coral reef habitats at national to regional spatial scales and at very high spatial resolution is still scarce. Here, we develop benthic habitat maps at a sub-national scale by analyzing large multispectral QuickBird imagery dataset covering~686 km 2 of the main shallow coral fringing reef along the southern border with Tanzania (4.68˝S, 39.18˝E) to the reef end at Malindi, Kenya (3.2˝S, 40.1˝E). Mapping was conducted with a user approach constrained by ground-truth data, with detailed transect lines from the shore to the fore reef. First, maps were used to evaluate the present management system's effectiveness at representing habitat diversity. Then, we developed three spatial prioritization scenarios based on differing objectives: (i) minimize lost fishing opportunity; (ii) redistribute fisheries away from currently overfished reefs; and (iii) minimize resource use conflicts. We further constrained the priority area in each prioritization selection scenario based on optionally protecting the least or the most climate exposed locations using a model of exposure to climate stress. We discovered that spatial priorities were very different based on the different objectives and on whether the aim was to protect the least or most climate-exposed habitats. Our analyses provide a spatially explicit foundation for large-scale conservation and management strategies that can account for ecosystem service benefits.

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Use of Habitats as Surrogates of Biodiversity for Efficient Coral Reef Conservation Planning in Pacific Ocean Islands

Cited by 93 publications

References 33 publications

Comparison of Two Independent Mapping Exercises in the Primeiras and Segundas Archipelago, Mozambique

Comparison of Two Independent Mapping Exercises in the Primeiras and Segundas Archipelago, Mozambique

Bridging Ridge-to-Reef Patches: Seamless Classification of the Coast Using Very High Resolution Satellite

Designing Climate-Resilient Marine Protected Area Networks by Combining Remotely Sensed Coral Reef Habitat with Coastal Multi-Use Maps

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