scholarly journals The use of remote sensing for monitoring Posidonia oceanica and Marine Protected Areas: A systemic review

2020 ◽  
Vol 31 (2) ◽  
pp. 1
Author(s):  
Luca Appolloni ◽  
Elvira Buonocore ◽  
Giovanni Fulvio Russo ◽  
Pier Paolo Franzese
Keyword(s):  
Remote Sensing ◽  
Protected Areas ◽  
Marine Protected Areas ◽  
Posidonia Oceanica ◽  
Systemic Review

scholarly journals Coral Reef Mapping with Remote Sensing and Machine Learning: A Nurture and Nature Analysis in Marine Protected Areas

2021 ◽  
Vol 13 (15) ◽  
pp. 2907
Author(s):  
Camila Brasil Louro da Silveira ◽  
Gil Marcelo Reuss Strenzel ◽  
Mauro Maida ◽  
Ana Lídia Bertoldi Gaspar ◽  
Beatrice Padovani Ferreira
Keyword(s):  
Machine Learning ◽  
Remote Sensing ◽  
Coral Reefs ◽  
Protected Areas ◽  
Marine Protected Areas ◽  
Distribution Model ◽  
Support Vector ◽  
Landsat 8 ◽  
Human Use ◽  
The Impact

Mapping habitats is essential to assist strategic decisions regarding the use and protection of coral reefs. Coupled with machine learning (ML) algorithms, remote sensing has allowed detailed mapping of reefs at meaningful scales. Here we integrated WorldView-3 and Landsat-8 imagery and ML techniques to produce a map of suitable habitats for the occurrence of a model species, the hydrocoral Millepora alcicornis, in coral reefs located inside marine protected areas in Northeast Brazil. Conservation and management efforts in the region were also analyzed, integrating human use layers to the ecological seascape. Three ML techniques were applied: two to derive base layers, namely geographically weighted regressions for bathymetry and support vector machine classifier (SVM) for habitat mapping, and one to build the species distribution model (MaxEnt) for Millepora alcicornis, a conspicuous and important reef-building species in the area. Additionally, human use was mapped based on the presence of tourists and fishers. SVM yielded 15 benthic classes (e.g., seagrass, sand, coral), with an overall accuracy of 79%. Bathymetry and its derivative layers depicted the topographical complexity of the area. The Millepora alcicornis distribution model identified distance from the shore and depth as topographical factors limiting the settling and growth of coral colonies. The most important variables were ecological, showing the importance of maintaining high biodiversity in the ecosystem. The comparison of the habitat suitability model with species absence and human use maps indicated the impact of direct human activities as potential inhibitors of coral development. Results reinforce the importance of the establishment of no-take zones and other protective measures for maintaining local biodiversity.

Characterising essential breeding habitat for whales informs the development of large-scale Marine Protected Areas in the South Pacific

2016 ◽  
Vol 548 ◽  
pp. 263-275 ◽  
Author(s):  
RE Lindsay ◽  
R Constantine ◽  
J Robbins ◽  
DK Mattila ◽  
A Tagarino ◽  
...  
Keyword(s):  
Protected Areas ◽  
Marine Protected Areas ◽  
Large Scale ◽  
South Pacific ◽  
Breeding Habitat ◽  
The South
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