scholarly journals New locality records and geographic distribution map of Dendropsophus meridensis (Rivero, 1961) (Anura: Hylidae) in the Andes of Venezuela

Check List ◽  
2015 ◽  
Vol 11 (1) ◽  
pp. 1527
Author(s):  
Luis Orlando Armesto ◽  
Evelin Quilarque ◽  
Fernando J. M. Rojas-Runjaic
Keyword(s):  
Geographic Distribution ◽  
Species Distribution ◽  
Species Distribution Modeling ◽  
Field Work ◽  
Color Variation ◽  
Museum Collections ◽  
Distribution Map ◽  
The Andes ◽  
Distribution Modeling ◽  
New Localities

Dendropsophus meridensis is a medium-sized treefrog endemic to the Cordillera de Mérida in the Venezuelan Andes. The geographic distribution of this species is poorly known, and only 10 localities known in the literature. Most of these localities do not have associated geographic coordinates and altitude. In this note we provide eight new locality records and a geographic distribution map of D. meridensis, based on field work, revision of Venezuelan museum collections, and species distribution modeling. Three of these new localities were found after performing species distribution modeling. Additionally, some comments on natural history and color variation are included.

scholarly journals Evaluating the capacity of species distribution modeling to predict the geographic distribution of the mangrove community in Mexico

PLoS ONE ◽  
2020 ◽  
Vol 15 (8) ◽  
pp. e0237701
Author(s):  
Karla Rodríguez-Medina ◽  
Carlos Yañez-Arenas ◽  
A. Townsend Peterson ◽  
Jorge Euán Ávila ◽  
Jorge Herrera-Silveira
Keyword(s):  
Geographic Distribution ◽  
Species Distribution ◽  
Species Distribution Modeling ◽  
Distribution Modeling

Using species distribution modeling to improve conservation of medicinal plants in Southwest China

Planta Medica ◽  
2016 ◽  
Vol 81 (S 01) ◽  
pp. S1-S381
Author(s):  
B Liu ◽  
F Li ◽  
Z Guo ◽  
L Hong ◽  
W Huang ◽  
...  
Keyword(s):  
Medicinal Plants ◽  
Species Distribution ◽  
Southwest China ◽  
Species Distribution Modeling ◽  
Distribution Modeling

scholarly journals Comparing sample bias correction methods for species distribution modeling using virtual species

Ecosphere ◽  
2021 ◽  
Vol 12 (3) ◽  
Author(s):  
Richard Inman ◽  
Janet Franklin ◽  
Todd Esque ◽  
Kenneth Nussear
Keyword(s):  
Species Distribution ◽  
Bias Correction ◽  
Species Distribution Modeling ◽  
Sample Bias ◽  
Distribution Modeling ◽  
Virtual Species

Species distribution modeling reveals the ecological niche of extinct megafauna from South America

2021 ◽  
pp. 1-8
Author(s):  
Thaísa Araújo ◽  
Helena Machado ◽  
Dimila Mothé ◽  
Leonardo dos Santos Avilla
Keyword(s):  
South America ◽  
Species Distribution ◽  
Environmental Changes ◽  
Species Distribution Modeling ◽  
Human Action ◽  
Northeastern Brazil ◽  
Climate Conditions ◽  
Middle Holocene ◽  
Distribution Modeling ◽  
The Impact

Abstract Climatic and environmental changes, as well as human action, have been cited as potential causes for the extinction of megafauna in South America at the end of the Pleistocene. Among megamammals lineages with Holarctic origin, only horses and proboscideans went extinct in South America during this period. This study aims to understand how the spatial extent of habitats suitable for Equus neogeus and Notiomastodon platensis changed between the last glacial maximum (LGM) and the middle Holocene in order to determine the impact that climatic and environmental changes had on these taxa. We used species distribution modeling to estimate their potential extent on the continent and found that both species occupied arid and semiarid open lands during the LGM, mainly in the Pampean region of Argentina, southern and northeastern Brazil, and parts of the Andes. However, when climate conditions changed from dry and cold during the LGM to humid and warm during the middle Holocene, the areas suitable for these taxa were reduced dramatically. These results support the hypothesis that climatic changes were a driving cause of extinction of these megamammals in South America, although we cannot rule out the impact of human actions or other potential causes for their extinction.

Using Open-Source Data in Correlative Species Distribution Modeling of Marine Species

2018 ◽  
Vol 80 (6) ◽  
pp. 457-461
Author(s):  
Carlos A. Morales-Ramirez ◽  
Pearlyn Y. Pang
Keyword(s):  
Open Source ◽  
Species Distribution ◽  
Open Source Software ◽  
Species Distribution Modeling ◽  
Science Research ◽  
Marine Species ◽  
Distribution Modeling ◽  
Open Source Data ◽  
Rapid Changes ◽  
Source Data

Open-source data are information provided free online. It is gaining popularity in science research, especially for modeling species distribution. MaxEnt is an open-source software that models using presence-only data and environmental variables. These variables can also be found online and are generally free. Using all of these open-source data and tools makes species distribution modeling (SDM) more accessible. With the rapid changes our planet is undergoing, SDM helps understand future habitat suitability for species. Due to increasing interest in biogeographic research, SDM has increased for marine species, which were previously not commonly found in this modeling. Here we provide examples of where to obtain the data and how the modeling can be performed and taught.

scholarly journals Combining connectivity and species distribution modeling to define conservation and restoration priorities for multiple species: A case study in the eastern Amazon

2021 ◽  
Vol 257 ◽  
pp. 109148
Author(s):  
Leonardo de Sousa Miranda ◽  
Marcelo Awade ◽  
Rodolfo Jaffé ◽  
Wilian França Costa ◽  
Leonardo Carreira Trevelin ◽  
...  
Keyword(s):  
Species Distribution ◽  
Species Distribution Modeling ◽  
Distribution Modeling ◽  
Multiple Species
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