Record of changes in the regionalization of Terminos Lagoon, Campeche

2021 ◽  
Vol 3 (1) ◽  
pp. 23-40
Author(s):  
Jessica Elizabeth Santos Santoyo ◽  
Yassir Edén Torres Rojas ◽  
Alfonso Cuevas Jiménez

The Terminos Lagoon is an estuarine-lagoon ecosystem, recognized as one of the largest coastal lagoons in the Gulf of Mexico, has great ecological, social and economic relevance, being a place from which various activities of commercial importance are carried out, in addition to being an area that presents high diversity. However, in the last 20 years it has been influenced by anthropic and natural impacts, which modifies the physicochemical characteristics of the water (temperature, salinity and pH) and changes in diversity species, being decisive in changes in regionalization. Therefore, in the present study, the spatio-temporal relationship of the physicochemical characteristics was analyzed, using geostatistics to characterize and predict possible new hydrological zones for Terminos lagoon. Samples were carried out monthly at 17 points, by zones and seasons (dry, rainy and wind/winter), in which significant differences were sought. To detect possible changes in regionalization, the GS+ software was used, where the values ​​of R2 were considered, defining the interpolation of Minimum Curvature (R2 <0.5). For the spatial distribution, the TNTmips program was used and to restructure the current zoning, a Cluster Analysis was applied. The results indicate for rainy season higher temperature values ​​(30.59 °C), higher salinity in dry (31.78 UPS), and higher pH in the wind/winter season (7.88). In the spatial distribution, the warmest areas were shown in the Candelaria River, the most saline areas by Isla de Carmen and the highest pH ranges near Pom-Atasta. According to the previous regionalization, 4 new zones are represented, which are influenced by fresh water discharges and the intrusion of salt water that is carried within the site. Keywords: Gulf of Mexico, ecosystem, refuge area, alterations, geostatistics.

2021 ◽  
Vol 8 ◽  
Author(s):  
Edgar Torres-Irineo ◽  
Silvia Salas ◽  
Jorge Iván Euán-Ávila ◽  
Leopoldo E. Palomo ◽  
Daniel R. Quijano Quiñones ◽  
...  

In most small-scale fisheries (SSF), there is limited or null information about the distribution and spatial extent of the fishing grounds where the fleets operate, due to the lack of explicit spatial and temporal data. This information is key when addressing marine spatial planning and fisheries management programs for SSF. In addition to technical or biogeographic restrictions, environmental conditions in the area influence the way fishers operate. Making use of data from a pilot Vessel Monitoring System (VMS) project tested in a small-scale fleet in the Southeastern Gulf of Mexico (SGoM), for the first time in the region, we were able to learn what role environmental factors play in the distribution of potential fishing grounds for this fleet. We got tracking information of 1,608 daily fishing trips from vessels operating in four states using the VMS for 7 months. We used a correlative modeling approach to identify potential fishing grounds where this fleet operates along the SGoM, accounting for environmental variables. We assumed that environmental conditions can shape the spatial distribution of species targeted by this fleet and hence influence fishers’ operations. The results indicated that net primary production and sea surface temperature were the main drivers that shape the spatio-temporal potential distribution of fishing grounds in the study site. The approach employed here seems appropriated and opens an opportunity to learn more about the factors that define the spatial distribution of small-scale fleets and their potential fishing grounds.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jian-Yu Li ◽  
Yan-Ting Chen ◽  
Meng-Zhu Shi ◽  
Jian-Wei Li ◽  
Rui-Bin Xu ◽  
...  

AbstractA detailed knowledge on the spatial distribution of pests is crucial for predicting population outbreaks or developing control strategies and sustainable management plans. The diamondback moth, Plutella xylostella, is one of the most destructive pests of cruciferous crops worldwide. Despite the abundant research on the species’s ecology, little is known about the spatio-temporal pattern of P. xylostella in an agricultural landscape. Therefore, in this study, the spatial distribution of P. xylostella was characterized to assess the effect of landscape elements in a fine-scale agricultural landscape by geostatistical analysis. The P. xylostella adults captured by pheromone-baited traps showed a seasonal pattern of population fluctuation from October 2015 to September 2017, with a marked peak in spring, suggesting that mild temperatures, 15–25 °C, are favorable for P. xylostella. Geostatistics (GS) correlograms fitted with spherical and Gaussian models showed an aggregated distribution in 21 of the 47 cases interpolation contour maps. This result highlighted that spatial distribution of P. xylostella was not limited to the Brassica vegetable field, but presence was the highest there. Nevertheless, population aggregations also showed a seasonal variation associated with the growing stage of host plants. GS model analysis showed higher abundances in cruciferous fields than in any other patches of the landscape, indicating a strong host plant dependency. We demonstrate that Brassica vegetables distribution and growth stage, have dominant impacts on the spatial distribution of P. xylostella in a fine-scale landscape. This work clarified the spatio-temporal dynamic and distribution patterns of P. xylostella in an agricultural landscape, and the distribution model developed by geostatistical analysis can provide a scientific basis for precise targeting and localized control of P. xylostella.


2021 ◽  
Vol 10 (3) ◽  
pp. 166
Author(s):  
Hartmut Müller ◽  
Marije Louwsma

The Covid-19 pandemic put a heavy burden on member states in the European Union. To govern the pandemic, having access to reliable geo-information is key for monitoring the spatial distribution of the outbreak over time. This study aims to analyze the role of spatio-temporal information in governing the pandemic in the European Union and its member states. The European Nomenclature of Territorial Units for Statistics (NUTS) system and selected national dashboards from member states were assessed to analyze which spatio-temporal information was used, how the information was visualized and whether this changed over the course of the pandemic. Initially, member states focused on their own jurisdiction by creating national dashboards to monitor the pandemic. Information between member states was not aligned. Producing reliable data and timeliness reporting was problematic, just like selecting indictors to monitor the spatial distribution and intensity of the outbreak. Over the course of the pandemic, with more knowledge about the virus and its characteristics, interventions of member states to govern the outbreak were better aligned at the European level. However, further integration and alignment of public health data, statistical data and spatio-temporal data could provide even better information for governments and actors involved in managing the outbreak, both at national and supra-national level. The Infrastructure for Spatial Information in Europe (INSPIRE) initiative and the NUTS system provide a framework to guide future integration and extension of existing systems.


2021 ◽  
Vol 23 (14) ◽  
pp. 8868-8879
Author(s):  
Hanggara Sudrajat ◽  
Mitsunori Kitta ◽  
Ryota Ito ◽  
Tomoko Yoshida ◽  
Ryuzi Katoh ◽  
...  

Unraveling the nanoarchitecture–photoactivity relationship of core–shell-structured La-doped NaTaO3 to tune the surface features, spatial distribution of dopants, and hence water splitting activity.


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