Ecological niche models predict the potential distribution of the exotic rotifer Kellicottia bostoniensis (Rousselet, 1908) across the globe

Hydrobiologia ◽  
2020 ◽  
Vol 848 (2) ◽  
pp. 299-309
Author(s):  
Tatiane Mantovano ◽  
Leidiane Pereira Diniz ◽  
Eliezer de Oliveira da Conceição ◽  
Jonathan Rosa ◽  
Claudia Costa Bonecker ◽  
...  
2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Daniela A. Rivera-Aguirre ◽  
Miguel A. Ortiz- Acosta ◽  
Héctor Bernal-Mendoza ◽  
Gerardo Sánchez-Rojas ◽  
O. Eric Ramírez-Bravo ◽  
...  

Agricultural systems are highly susceptible to climate change; however, little is known about the vulnerability of native or exotic species. In this work, we evaluated the impact of climate change on the potential distribution of three species of agricultural interest native to Mexico (cotton, peanut, and cocoa), through ecological niche models looking at the year 2050. According to the 22 General Circulation Models (GCMs) under two Representative Concentration Pathways (RCP), 4.5 and 8.5, we found increases in the potential distribution of the three species. The species with the greatest increase is cotton, finding conditions in the future in states such as Tabasco or throughout the Yucatan Peninsula.


Author(s):  
Damaris Zurell ◽  
Jan O. Engler

Impact assessments increasingly rely on models to project the potential impacts of climate change on species distributions. Ecological niche models have become established as an efficient and widely used method for interpolating (and sometimes extrapolating) species’ distributions. They use statistical and machine-learning approaches to relate species’ observations to environmental predictor variables and identify the main environmental determinants of species’ ranges. Based on this estimated species–environment relationship, the species’ potential distribution can be mapped in space (and time). In this chapter, we explain the concept and underlying assumptions of ecological niche models, describe the basic modelling steps using the silvereye (Zosterops lateralis) as a simple real-world example, identify potential sources of uncertainty in underlying data and in the model, and discuss potential limitations as well as latest developments and future perspectives of ecological niche models in a global change context.


2021 ◽  
Vol 304 (10) ◽  
pp. 2264-2278
Author(s):  
Camilo A. Linares‐Vargas ◽  
Wilmar Bolívar‐García ◽  
Alexandra Herrera‐Martínez ◽  
Daniel Osorio‐Domínguez ◽  
Oscar E. Ospina ◽  
...  

Ecography ◽  
2004 ◽  
Vol 27 (3) ◽  
pp. 350-360 ◽  
Author(s):  
Juan L. Parra ◽  
Catherine C. Graham ◽  
Juan F. Freile

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