Predicting potential mangrove distributions at the global northern distribution margin using an ecological niche model: Determining conservation and reforestation involvement

2020 ◽  
Vol 478 ◽  
pp. 118517
Author(s):  
Wenjia Hu ◽  
Yuyu Wang ◽  
Peng Dong ◽  
Dian Zhang ◽  
Weiwei Yu ◽  
...  
2015 ◽  
pp. 1-5 ◽  
Author(s):  
Jose Miguel Montalva ◽  
Mauro Ríos ◽  
Felipe Vivallo

The Palearctic wool carder bee Anthidium manicatum (Linnaeus) is recorded for the first time in Chile based on eight specimens collected on Lavandula sp. (Lamiaceae) in San Bernardo, Metropolitan Region.  This new record expands the invasive range of this species in South America, confirming previous predictions based on an ecological niche model.


Author(s):  
A. Townsend Peterson ◽  
Jorge Soberón ◽  
Richard G. Pearson ◽  
Robert P. Anderson ◽  
Enrique Martínez-Meyer ◽  
...  

This chapter explores the conceptual bases for the discrepancy between species’ potential geographic distributional areas and their occupied distributional areas, focusing on the case of conditions when the Eltonian Noise Hypothesis is true as well as the necessary modifications when it is not. It first considers the meaning of the potential distributional area and the reasons why an ecological niche model may not estimate it correctly. It then explains why a species may not be at equilibrium with its potential distributional area, but rather inhabits only some subset of areas suitable for it. It also discusses nonequilibrium distributions that may arise in terms of the BAM diagram before concluding with an analysis of procedures for further processing of a niche model, which expresses potential geographic distributional area, to yield an estimate of occupied distributional area.


PLoS ONE ◽  
2013 ◽  
Vol 8 (11) ◽  
pp. e82066 ◽  
Author(s):  
Shivaprakash K. Nagaraju ◽  
Ravikanth Gudasalamani ◽  
Narayani Barve ◽  
Jaboury Ghazoul ◽  
Ganeshaiah Kotiganahalli Narayanagowda ◽  
...  

Primates ◽  
2019 ◽  
Vol 61 (2) ◽  
pp. 267-275
Author(s):  
Thinh T. Vu ◽  
Dung V. Tran ◽  
Hoa T. P. Tran ◽  
Manh D. Nguyen ◽  
Tuan A. Do ◽  
...  

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 ◽  
...  

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.


Acta Tropica ◽  
2015 ◽  
Vol 149 ◽  
pp. 246-253 ◽  
Author(s):  
Fatemeh Abedi-Astaneh ◽  
Amir Ahmad Akhavan ◽  
Mohammd Reza Shirzadi ◽  
Yavar Rassi ◽  
Mohammad Reza Yaghoobi-Ershadi ◽  
...  

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