Identifying corridors for landscape connectivity using species distribution modeling of Hydnocarpus kurzii (King) Warb., a threatened species of the Indo-Burma Biodiversity Hotspot

2018 ◽  
Vol 15 (1) ◽  
pp. 13-23
Author(s):  
Koushik Majumdar ◽  
Dibyendu Adhikari ◽  
Badal Kumar Datta ◽  
Saroj Kanta Barik
Keyword(s):  
Species Distribution ◽  
Threatened Species ◽  
Landscape Connectivity ◽  
Species Distribution Modeling ◽  
Biodiversity Hotspot ◽  
Distribution Modeling

Distribution and diversity of palms in a tropical biodiversity hotspot (Thailand) assessed by species distribution modeling

2013 ◽  
Vol 33 (2) ◽  
pp. 214-224 ◽  
Author(s):  
Jantrararuk Tovaranonte ◽  
Anne Blach-Overgaard ◽  
Ratchada Pongsattayapipat ◽  
Jens-Christian Svenning ◽  
Anders S. Barfod
Keyword(s):  
Species Distribution ◽  
Species Distribution Modeling ◽  
Biodiversity Hotspot ◽  
Tropical Biodiversity ◽  
Distribution Modeling

From dispersal constraints to landscape connectivity: lessons from species distribution modeling

Ecography ◽  
2015 ◽  
Vol 38 (10) ◽  
pp. 967-978 ◽  
Author(s):  
Divya Vasudev ◽  
Robert J. Fletcher ◽  
Varun R. Goswami ◽  
Meghna Krishnadas
Keyword(s):  
Species Distribution ◽  
Landscape Connectivity ◽  
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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