Modeling sea-level change, inundation scenarios, and their effect on the Colola Beach Reserve – a nesting-habitat of the black sea turtle, Michoacán, Mexico

Abstract

The effects of climate change will vary regionally. However, the mean temperature will rise worldwide, and the concomitant rise in sea level will affect most coastal beaches and consequently all populations of sea turtles in the short, medium and long term. Models of expected beach inundation and loss of nesting habitat due to sea-level rises are required to assess coastal changes and the conservation of the sea-turtle nesting areas. Colola Beach in Michocán, Mexico, is the main nesting area of the black sea-turtle (Chelonia mydas agassizii), species listed as being in danger of extinction. We assessed the effects of sea-level change in this beach using three different scenarios. With this purpose, we surveyed the topography of Colola Beach in detail to produce a digital elevation model (DEM) and modeled beach

Tartarugas Marinhas E Fibropapilomatose: Um Estudo Cienciométrico No Brasil

“…Entretanto, suas populações têm sofrido reduções drásticas nas últimas décadas, sendo ameaçadas por várias forças antropogênicas no ambiente marinho, tais como a destruição de habitat, matança de fêmeas, captura incidental em redes de pesca, alterações nas praias de nidificação, poluição e ingestão de resíduos sólidos, caça e coleta de ovos, coleta e consumo de carne, sombreamento e a iluminação artificial ou fotopoluição (Finkbeiner et al, 2011;Carvalho et al, 2015;Nogueira & Alves, 2016;Pingo et al, 2017;Rizzi et al, 2019;Sievers et al, 2019;Tagliolatto et al, 2020;Petry et al, 2021) e, mais recentemente, a fibropapilomatose (Rodenbusch et al, 2014;Santos et al, 2015;Cardenas et al, 2019;Manes et al, 2022). Além disso, há ainda ameaças naturais que tornam problemática a sobrevivência desse grupo, em virtude da ação amplificadora que o ser humano causa, como, por exemplo, quanto às mudanças climáticas (Fish et al, 2005;Garcia et al, 2015;Hamed et al, 2016), devido ao papel que a temperatura nas áreas de nidificação desempenha na determinação do sexo dos embriões (Baptistotte et al, 1999;Oz et al, 2004;Castheloge et al, 2018). Um aumento de 2 ºC, por exemplo, pode causar a feminização de toda uma população, comprometendo seu ciclo de vida, que é longo e complexo (ICMBio, 2011).…”

Digital methodology to detect vulnerable areas to flooding in urban zones located in the mountains

“…One of the negative effects of constant rainfall is floods, which are natural disasters of great magnitude (García et al, 2015) with an immeasurable impact, affecting 170 million people worldwide annually (Patrikaki et al, 2018). Particularly, urban floods have generated highly affecting economic and social consequences (Rufat et al, 2015;Xu et al, 2019;Mark et al, 2018), which, combined with land use change (land use are modifications and interventions that people carry out on a surface to produce), has led to extreme climatic and hydrological conditions, to originate atypical rainfall-runoff events with negative or positive effects for the population (Fitton et al, 2016;Güçlü et al, 2018;Kundzewicz et al, 2018;Luo et al, 2018).…”

“…The use of GIS involves processes of collecting existing information and further processing of the results (Amir et al, 2018). Experiences in research show that a GIS-based analysis of flooding allows to cover the shortage of information and assistance during the validation of modeled results (García et al, 2015), The application of GIS in these studies requires as input data the geometry of the river channel, edge conditions, information on) tributary streams and roughness characteristics of the channel and its edges. The models built with this tool provide results for each cross section of the river and the possible water level allowing an analysis of flood events (Gou et al, 2021;Knel et al, 2005).…”

Exposure of Loggerhead Sea Turtle Nests to Waves in the Florida Panhandle

“…The identification of nesting beaches that will benefit most from conservation efforts can be aided by geographic information systems coupled with remote sensing data (e.g., LiDAR, aerial imagery, nighttime lighting). This approach has increasingly been used to identify threats to sea turtle nesting beaches and prioritize locations for conservation [26,27,43,[47][48][49][50][51][52]. For example, using historical data on wave height and wave period coupled with beach slope and sea turtle nest distribution, a wave runup model can be used to map wave exposure at the nesting beach in an effort to better inform sea turtle nest management [52][53][54][55].…”