Hydroinformatics ▪ Climate Change ▪ Remote sensing ▪ GIS ▪ Modelling
- Land use and cover changes in Michoacan
- Landscape characterization of the El Duero watershed (Thesis under development)
- Mangrove canopy height in Marismas Nacionales, Nayarit (Thesis finished)
- Coastal wetland cover changes in northwest Mexico (Chapter Book finished)
Macedo-Santana F., Flores-Tolentino M., Hernández-Guzmán R. (2021). Diversity patterns of palms in Mexico using species distribution models. Écoscience, DOI: 10.1080/11956860.2021.1888522
The family of palms (Arecaceae) comprises around 2,400 species distributed throughout the world, from which nearly 100 species have been reported to occur in Mexico. Given their importance and the lack of information about their distribution patterns in the country, we applied stacked species distribution models to estimate the current distribution patterns of palms in Mexico. Only 47 species had enough presence records for their modeling. About 50% of the models showed that Annual Precipitation had the greatest contribution to the potential distribution. From the species analyzed, 63% are distributed in the southeast of the country with Roystonea regia as the species with the greatest extent (367,550 km2) and Coccothrinax readii occupying the smaller potential distribution (9,850 km2). It was possible to identify regions of the country with high species richness and where the establishment of new natural protected areas would help to the conservation of palm trees in Mexico. The southeast of Mexico represents the highest richness (>10 species) with about 130,000 km2, and the central slope of the Mexican Pacific, a fragmented landscape with a medium potential distribution (>5 species). Our results represent an important step to guide the establishment of conservation areas for the family Arecaceae in Mexico.
Ruiz-Luna A., Martínez-Peralta C., Eichler P.P.B., Teixeira L.R., Acosta-Morel M., Hernández-Guzmán R., Iwama A.Y. (2021). Comparing vulnerability and institutional capacities in three Latin American coastal localities in response to extreme rainfall events. Journal of Coastal Conservation, 25, 22. DOI: 10.1007/s11852-020-00790-4
A multidisciplinary approach is used to evaluate the vulnerability resulting from extreme rainfall events (EREs) and to examine how institutional capacities related to prevention and response, assist small coastal locations in Latin America in coping with ERE, currently intensified by climate change. The analysis was carried out in Brazil, Dominican Republic and Mexico, at municipality and local scale, based on socio-economic and environmental indicators. Institutional capacity was assessed mainly based on semi-structured interviews, with key actors of selected study sites to obtain empirical information on the level of coordination and cooperation among them (social networks), to examine the effectiveness of the legal framework and the mechanisms for citizen participation in the decision-making process on the local scale. Present findings indicate that vulnerability by site is not directly related to local institutional capacity. The key actors’ networks and legal frameworks by country seemed to be sufficient to cope with ERE impacts, but citizen participation must be reinforced. In addition, public spaces are required for sharing, discussing and exchanging information to take action regarding the prevention, response and adaptation to future ERE impacts.
Hernández-Guzmán R., Ruiz-Luna A., Mendoza E. (2021). Sara4r: an R graphical user interface (GUI) to estimate watershed surface runoff applying the NRCS – curve number method. Journal of Hydroinformatics, 23(1), 76-97. DOI: 10.2166/hydro.2020.087
This paper introduces a graphical user interface (GUI) for the R software that allows calculating the rainfall-runoff relationship, using the Curve Number method. This GUI is a raster-tool whose outputs are runoff estimates calculated using land use/land cover and hydrologic soil group maps. The package allows the user to select among three different antecedent moisture conditions and includes modifications about the initial abstraction parameter. We tested this GUI with data derived from two watersheds in Mexico and the outputs were compared with those produced using a well-established GIS tool in a vector environment. The results produced by these two approaches were practically the same. The main advantages of our package are: (1) ‘Sara4r’ is faster than previous vector based tools; (2) it is easy to use, even for people with no previous experience using R; (3) the modular design allows the integration of new routines and, (4) it is free and open source.
Mangrove canopy height in Marismas Nacionales, Nayarit (José de la Paz Soto)