Improving ecological niche model transferability to predict the potential distribution of invasive exotic species

2014 ◽  
Vol 22 (2) ◽  
pp. 223 ◽  
Author(s):  
Zhu Gengping ◽  
Liu Qiang ◽  
Gao Yubao
Keyword(s):  
Exotic Species ◽  
Ecological Niche ◽  
Potential Distribution ◽  
Ecological Niche Model ◽  
Niche Model ◽  
Model Transferability ◽  
Invasive Exotic Species ◽  
Invasive Exotic

Spatial Risk Distribution of Dengue Based on the Ecological Niche Model of Aedes aegypti (Diptera: Culicidae) in the Central Mexican Highlands

2019 ◽  
Vol 57 (3) ◽  
pp. 728-737
Author(s):  
Raymundo Ordoñez-Sierra ◽  
Carlos Alberto Mastachi-Loza ◽  
Carlos Díaz-Delgado ◽  
Angela P Cuervo-Robayo ◽  
Carlos Roberto Fonseca Ortiz ◽  
...  
Keyword(s):  
Ecological Niche ◽  
Potential Distribution ◽  
Vegetation Index ◽  
Ecological Niche Model ◽  
Distribution Model ◽  
Large Area ◽  
Niche Model ◽  
Spatial Risk ◽  
Precipitation Seasonality ◽  
Risk Distribution

Abstract Dengue is the most important viral disease transmitted by mosquitoes, predominantly Aedes (Stegomyia) aegypti (L.) (Diptera:Culicidae). Forty percent of the world’s population is at risk of contracting the disease, and a large area of Mexico presents suitable environmental conditions for the life cycle of Ae. aegypti. In particular, the Central Mexican Highlands have a high population density, increasing the risk of transmission and propagation of dengue. In the present study, the potential distribution of Ae. aegypti was modeled under an ecological niche approach using the maximum entropy technique with the aim of determining the spatial risk distribution of dengue. The final model of five variables (minimum temperature of the coldest month |Bio6|, precipitation of the wettest month |Bio13|, precipitation seasonality |Bio15|, the normalized difference vegetation index (NDVI), and relative humidity) contributed to more than 90% of the model’s performance. The results of the potential distribution model were then compared with the number of dengue cases per locality during the 2009–2015 period considering four suitability of presence categories. Category 4 corresponded with the highest suitability of presence (0.747 to 1) and the greatest risk of dengue (odds ratio [OR] = 103.27; P < 0.001). In conclusion, the present ecological niche model represents an important tool for the monitoring of dengue and the identification of high-risk areas.

scholarly journals The Potential Distribution ofPhlebotomus papatasi(Diptera: Psychodidae) in Libya Based on Ecological Niche Model

2012 ◽  
Vol 49 (3) ◽  
pp. 739-745 ◽  
Author(s):  
M. S. Abdel-Dayem ◽  
B. B. Annajar ◽  
H. A. Hanafi ◽  
P. J. Obenauer
Keyword(s):  
Ecological Niche ◽  
Potential Distribution ◽  
Ecological Niche Model ◽  
Niche Model

scholarly journals Potential distribution and conservation of the Colobosauroides carvalhoi Soares and Caramaschi, 1998: a rare and endemic lizard of Northeast Brazil

2017 ◽  
Vol 77 (4) ◽  
pp. 686-695 ◽  
Author(s):  
A. J. C. Magalhães-Júnior ◽  
G. J. B. Moura ◽  
L. B. Ribeiro ◽  
S. M. Azevedo-Júnior
Keyword(s):  
Ecological Niche ◽  
Potential Distribution ◽  
Ecological Niche Modeling ◽  
Conservation Status ◽  
Distribution Patterns ◽  
Ecological Niche Model ◽  
Niche Model ◽  
Species Population ◽  
Surrounding Areas ◽  
Occurrence Records

Abstract Ecological niche modeling has contributed to the investigation of the geographical distribution and conservation of rare or little recorded species. Therefore, we studied the known and potential distributions of Colobosauroides carvalhoi Soares and Caramaschi 1998 and discuss the implications for its conservation. Data were obtained by manual collections made in quarterly samplings in three different regions, considering the regions with occurrence records and surrounding areas. The known distribution was determined by occurrence records and literature data, and potential distribution was estimated with an ecological niche model by the MaxEnt algorithm. Twenty-five specimens were collected exclusively in forest formations of Caatinga and Caatinga-Cerrado. Our data corroborated the relative rarity of C. carvalhoi and reflected the biogeographical history of the group, where it is restricted to forest formations with milder environmental conditions. The occurrence records indicated new records of C. carvalhoi, but the known distribution value is compatible with a restricted distribution. The ecological niche model estimated few areas with environmental suitability for the species and corroborated the restricted and relict distribution patterns. Finally, the known and potential distribution values were compatible with criteria for threatened species. These results suggest a worrisome scenario for C. carvalhoi conservation. However, the limited data about the species population do not allow the proper definition of its conservation status. Therefore, we suggest using potential distribution values with alternative criteria for redefining the conservation status of C. carvalhoi and the development of new studies that support a better assessment of its conservation aspects.

scholarly journals Ecological niche model to predict the potential distribution of phytoplankton in the Aguamilpa Dam, Nayarit. Mexico (doi:10.4136/ambi-agua.154) (Spanish)

2010 ◽  
Vol 5 (3) ◽  
pp. 60-75 ◽  
Author(s):  
Jose Luis Ibarra-Montoy ◽  
Gabriel Rangel-Peraza ◽  
Fernando Gonzalez-Farias ◽  
Jose De Anda ◽  
Maria Eugenia Zamudio-Resendiz ◽  
...  
Keyword(s):  
Ecological Niche ◽  
Potential Distribution ◽  
Ecological Niche Model ◽  
Niche Model

Potential Distribution Prediction of Semiothisa cinerearia in China Based on GARP Ecological Niche Model

2013 ◽  
Vol 726-731 ◽  
pp. 4678-4681
Author(s):  
Zhuo Zhang ◽  
Li Peng Yang ◽  
Chan Zhou ◽  
Guang Chun Liu
Keyword(s):  
Ecological Niche ◽  
Potential Distribution ◽  
Ecological Niche Model ◽  
Sophora Japonica ◽  
Niche Model ◽  
North East ◽  
Model Combining ◽  
Multiple Regions ◽  
Accuracy Of Prediction ◽  
Northeast Of China

The hazard ofSemiothisa cinereariawas explosive in multiple regions of China in recent years. The potential geographic distribution ofS. cinereariain China was predicted by the GARP ecological niche model combining with terrain and climate informations. The results indicated that 8 environmental variables could improve the accuracy of prediction. The test by using 50% of all the samples showed good performance and all the known distribution points in China were all correctly predicted. The potential distribution areas ofS. cinereariaincluded whole China except Tibet, Qinghai, Xizhang, Hainan, Taiwan and south of Guangdong and Guangxi. And the central, North, East and Northeast of China had high suitability (>90%). Measures inhibitingSophora japonicashould be taken protect early and rapidly in its suitable areas.

Predicting the potential distribution of Rhaphidophorinae (Orthoptera, Rhaphidophoridae) in China

Zootaxa ◽  
2019 ◽  
Vol 4683 (1) ◽  
pp. 120-128
Author(s):  
XUN BIAN ◽  
FUMING SHI
Keyword(s):  
Ecological Niche ◽  
Potential Distribution ◽  
Ecological Niche Model ◽  
Climate Data ◽  
Niche Model ◽  
Species Discovery ◽  
Occurrence Data ◽  
Potential Map ◽  
Geographical Barrier ◽  
The Mean

The rhaphidophorid subfamily Rhaphidophorinae, distributed from South Asian to Australia, comprises 7 extant genus and 160 species. In China, the subfamily are poorly understood. Based on the occurrence data and climate data, ecological niche model can be used as a tool for species discovery. Herein we predict the potential distribution of Chinese Rhaphidophorinae using MAXENT under R environment. The mean temperature of coldest quarter plays an important role in the distribution of true cave cricket in China. Our potential map suggested the main concentrated area of the subfamily’s range is in Yunnan, while expanding to the east, there is an obviously geographical barrier in Guangxi. Considering the diversity of rhaphidophorids in China is not well known, we hope that the combining ecological niche model can serve as a guide to future survey expeditions in China. 

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