Opportunities for seagrass research derived from remote sensing: A review of current methods

Veettil, Bijeesh Kozhikkodan; Ward, Raymond D.; Lima, Mariana do Amaral Camara; Stankovic, Milica; Hoài, Phạm Ngọc; Quảng, Ngô Xuân

doi:10.1016/j.ecolind.2020.106560

Cited by 90 publications

(48 citation statements)

References 356 publications

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“…For seagrass cover, we used a linear spectral unmixing method on Landsat 8 images, with pure spectra or endmembers from August to December 2019. To validate the remotely sensed seagrass images, we used ground assessments of seagrasses and expert opinion to increase the reliability of the maps, because accuracy depends on the environmental conditions of the study area (Veettil et al, 2020). We did not validate the mangrove coverage map because it was well validated with field data and drone images, with an accuracy ranging from 94% in Calauit Island, to 96% in Binguan, Coron and 100% in Sagrada and Bugtong, Busuanga (Baloloy et al, 2020).…”

Section: Spatial Analysismentioning

confidence: 99%

Blue Carbon Ecosystem Services Through a Vulnerability Lens: Opportunities to Reduce Social Vulnerability in Fishing Communities

Quiros

Sudo

Ramilo³

et al. 2021

Front. Mar. Sci.

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Ecosystem services (ES) are benefits nature provides to humans; these services change in space and time and are largely dependent on context. Coastal habitat that provides key ES are blue carbon ecosystems, namely seagrass and mangroves. One important ES they provide is the provisioning of seafood, which benefits coastal populations with livelihoods and food security. We employed a social-ecological approach that draws from the vulnerability literature for social, ecological, and economic criteria to map ES provision in ten communities on Busuanga Island, Palawan Province, Philippines. We assess the spatial dynamics of ES provision for small-scale fisheries in seagrass and mangroves, in relation to local beneficiaries. Using a mixed-methods approach with ecological assessments of seagrass beds, spatial analysis, landing surveys, household and key informant interviews, we overlaid biophysical variables on social data, mapping sensitivities and adaptive capacities to compare communities’ social vulnerabilities. Spatial analysis revealed healthy blue carbon ecosystems in ten local communities (barangays) as measured by proportion of coastline covered, low patchiness and high continuity along the coastline, and the presence of adjacent habitat. We found seagrass ecosystems were more vulnerable than mangroves. Rural barangays had less exposure and lower sensitivity to blue carbon ecosystem loss than urban barangays. Blue carbon ecosystem fisheries are highly sensitive fisheries, due to their catch composition and low catch per unit effort, with mangrove fisheries having a slightly lower sensitivity than seagrass fisheries due to greater catch per unit effort. Diversified livelihoods and the presence of NGOs and People’s Organizations (POs) increased adaptive capacity and reduced overall vulnerability. We aim to highlight a coastal human community’s relationship with blue carbon ecosystems using context-specific vulnerability criteria. Our site-specific social vulnerability assessment may be adapted for use in other coastal communities within the coral triangle. This work suggests opportunities for conservation interventions to manage local communities’ sensitivities and adaptive capacity around the use of blue carbon ecosystems.

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Section: Spatial Analysismentioning

confidence: 99%

Blue Carbon Ecosystem Services Through a Vulnerability Lens: Opportunities to Reduce Social Vulnerability in Fishing Communities

Quiros

Sudo

Ramilo³

et al. 2021

Front. Mar. Sci.

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“…Several reviews are available in literature about resilience, but still restricted to specific CIs (e.g. energy systems (Gasser et al 2019 ), cyber CIs (Mohebbi et al 2020 ), remote sensing (Veettil et al 2020 ), supply chain (Golan et al 2020 )), or with an explicit focus on quantification (see e.g. Hosseini et al 2016 ; Ingrisch and Bahn 2018 ; Shuang et al 2019 ; Rehana et al 2020 )).…”

Section: Introductionmentioning

confidence: 99%

Reviewing qualitative research approaches in the context of critical infrastructure resilience

2021

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Modern societies are increasingly dependent on the proper functioning of critical infrastructures (CIs). CIs produce and distribute essential goods or services, as for power transmission systems, water treatment and distribution infrastructures, transportation systems, communication networks, nuclear power plants, and information technologies. Being resilient becomes a key property for CIs, which are constantly exposed to threats that can undermine safety, security, and business continuity. Nowadays, a variety of approaches exist in the context of CIs’ resilience research. This paper provides a state-of-the-art review on the approaches that have a complete qualitative dimension, or that can be used as entry points for semi-quantitative analyses. The study aims to uncover the usage of qualitative research methods through a systematic review based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). The paper identifies four principal dimensions of resilience referred to CIs (i.e., techno-centric, organisational, community, and urban) and discusses the related qualitative methods. Besides many studies being focused on energy and transportation systems, the literature review allows to observe that interviews and questionnaires are most frequently used to gather qualitative data, besides a high percentage of mixed-method research. The article aims to provide a synthesis of literature on qualitative methods used for resilience research in the domain of CIs, detailing lessons learned from such approaches to shed lights on best practices and identify possible future research directions.

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“…Marine macrophytes, including seagrass meadows and macroalgae, constitute a coastal habitat of great value due to the ecosystem services they provide, which makes them one of the most productive ecosystems on the planet, comparable to coral reefs or tropical forests (Beca-Carretero et al, 2020;Veetil et al, 2020;Zoffoli et al, 2020). They act as large sinks of atmospheric CO 2 (De los Santos et al, 2020;Egea et al, 2020;Zoffoli et al, 2020), but they are also considered biodiversity hotspots providing refuge and food for numerous animal species, some of which are protected, such as turtles or other marine mammals (Brodie et al, 2018;Egea et al, 2020;Veetil et al, 2020). In addition, they perform coastal protection tasks, reducing the hydrodynamic forces of the waves and protecting the seabed from erosion thus facilitating sedimentation (Brun et al, 2015;Zoffoli et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…However, they are currently one of the most threatened ecosystems, resulting in a significant decrease in their global extension (Veetil et al, 2020;Yang et al, 2020) due to their vulnerability to natural, and mainly, anthropogenic activities (Sánchez-Quiles et al, 2017;Tamondong et al, 2020;Zoffoli et al, 2020). Among the main factors causing their population loss are the reduction of water quality due to pollution, the illegal fishing gear, the introduction of invasive species or eutrophication (Brun et al, 2015;Veetil et al, 2020;Zoffoli et al, 2020). In addition, they are poorly protected due to the scarce media attention they receive compared to other ecosystems, which makes them all the more vulnerable (Brun et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Using a UAV-Mounted Multispectral Camera for the Monitoring of Marine Macrophytes

et al. 2021

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Marine macrophytes constitute one of the most productive ecosystems on the planet, as well as one of the most threatened by anthropogenic activities and climate change. Their monitoring is therefore essential, which has experienced a fast methodological evolution in recent years, from traditional in situ sampling to the use of satellite remote sensing, and subsequently by sensors mounted on unmanned aerial vehicles (UAV). This study aims to advance the monitoring of these ecosystems through the use of a UAV equipped with a 10-band multispectral camera, using different algorithms [i.e., maximum likelihood classifier (MLC), minimum distance classifier (MDC), and spectral angle classifier (SAC)], and using the Bay of Cádiz Natural Park (southern Spain) as a case of study. The results obtained with MLC confirm the suitability of this technique for detecting and differentiating seagrass meadows in a range of 0–2 m depth and the efficiency of this tool for studying and monitoring marine macrophytes in coastal areas. We inferred the existence of a cover of 25452 m2 of Cymodocea nodosa, and macroalgae species such as Caulerpa prolifera, covering 22172 m2 of Santibañez (inner Bay of Cádiz).

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Opportunities for seagrass research derived from remote sensing: A review of current methods

Cited by 90 publications

References 356 publications

Blue Carbon Ecosystem Services Through a Vulnerability Lens: Opportunities to Reduce Social Vulnerability in Fishing Communities

Blue Carbon Ecosystem Services Through a Vulnerability Lens: Opportunities to Reduce Social Vulnerability in Fishing Communities

Reviewing qualitative research approaches in the context of critical infrastructure resilience

Using a UAV-Mounted Multispectral Camera for the Monitoring of Marine Macrophytes

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