As climate-related impacts threaten marine biodiversity globally, it is important to adjust conservation efforts to mitigate the effects of climate change. Translating scientific knowledge into practical management, however, is often complicated due to resource, economic and policy constraints, generating a knowledge-action gap. To develop potential solutions for marine turtle conservation, we explored the perceptions of key actors across 18 countries in the Mediterranean.
View Article and Find Full Text PDFThis study was conducted during the 2018 nesting season at the Sugözü Beaches (Adana-Turkey) and Göksu Delta (Mersin-Turkey). Egg samples (n = 63) from loggerhead and green turtle nests (n = 43) were collected. Isolated bacteria were initially identified by phenotypic methods and then by MALDI-TOF MS.
View Article and Find Full Text PDFThis study aims to characterize the microbial community and its relationship with heavy metal pollution in the beaches of Sugözü, an important nesting site for the green turtle. Heavy metal concentrations of sand samples from subregions of Sugözü were determined using ICP-MS. The microbial community was analyzed using the Biolog® EcoPlate.
View Article and Find Full Text PDFSci Total Environ
June 2020
The green turtle is an endangered species that is highly sensitive to environmental pollution that can adversely affect the healthy development of eggs. Moreover, the presence of some bacteria in nests can be regarded as an indicator of the pollution level in nesting areas. In our study, nest sand and egg contents were collected from Sugözü Beaches (Turkey), in the Mediterranean.
View Article and Find Full Text PDFCurrent analyses and predictions of spatially explicit patterns and processes in ecology most often rely on climate data interpolated from standardized weather stations. This interpolated climate data represents long-term average thermal conditions at coarse spatial resolutions only. Hence, many climate-forcing factors that operate at fine spatiotemporal resolutions are overlooked.
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