scholarly journals Verification of a bioclimatic modeling system in a growing suburb in Melbourne

2019 ◽  
Vol 689 ◽  
pp. 883-898 ◽  
Author(s):  
Elmira Jamei ◽  
Mehdi Seyedmahmoudian ◽  
Ben Horan ◽  
Alex Stojcevski
Keyword(s):  
2020 ◽  
Vol 24 ◽  
pp. 00066
Author(s):  
Olga Pisarenko ◽  
Natali Makunina

Bioclimatic modeling method MaxEnt is tested to micro-habitats occupying objects on the example of five moss species. Modeling is done out on a planetary and regional scale. Results are discussed.


2018 ◽  
Vol 111 (6) ◽  
pp. 2553-2561 ◽  
Author(s):  
Philip Donkersley ◽  
Justine M Blanford ◽  
Renan Batista Queiroz ◽  
Farley W S Silva ◽  
Claudine M Carvalho ◽  
...  

Abstract Biological invasions of vectorborne diseases can be devastating. Bioclimatic modeling provides an opportunity to assess and predict areas at risk from complex multitrophic interactions of pathogens, highlighting areas in need of increased monitoring effort. Here, we model the distribution of an economically critical vectorborne plant pathogen ‘Candidatus Phytoplasma aurantifolia’, the etiological agent of Witches’ Broom Disease of Lime. This disease is a significant limiting factor on acid lime production (Citrus aurantifolia, Swingle) in the Middle East and threatens its production globally. We found that temperature, humidity, and the vector populations significantly determine disease distribution. Following this, we used bioclimatic modeling to predict potential novel sites of infections. The model outputs identified potential novel sites of infection in the citrus producing regions of Brazil and China. We also used our model to explore sites in Oman where the pathogen may not be infectious, and suggest nurseries be established there. Recent major turbulence in the citrus agricultural economy has highlighted the importance of this work and the need for appropriate and targeted monitoring programs to safeguard lime production.


2001 ◽  
Vol 55 (1) ◽  
pp. 63-71 ◽  
Author(s):  
Henrik Borgtoft Pedersen ◽  
Flemming Skov
Keyword(s):  

Author(s):  
O. Yu. Pisarenko

Bioclimatic modeling method MaxEnt is tested on objects occupying micro-habitats on the example ofmosses. Data organizing options and the results are discussed.


2019 ◽  
Vol 27 (1) ◽  
pp. 76-84 ◽  
Author(s):  
T. A. Avtaeva ◽  
R. A. Sukhodolskaya ◽  
A. V. Skripchinsky ◽  
V. V. Brygadyrenko

Using geodata technology, we conducted a bioclimatic modeling of the spatial distribution of the common palearctic ground beetle – Pterostichus oblongopunctatus (Fabricius, 1787). The range of comfort of the territories included in this species’ range was obtained. We used the data on 510 sampling points, obtained as a result of the authors’ field surveys and the data base of the GBIF global fund of biodiversity and 19 climatic parameters from the WorldClim open base and MaxEnt program. The results determined the factors which have the greatest impact on the current distribution of P. oblongopunctatus. The main climatic factors affecting the distribution of P. oblongopunctatus are average annual temperature, average 24-hour amplitude of temperature over each month, average temperature over the driest quarter, average temperature over the warmest quarter of the year, total of precipitations in the driest month of the year. We performed a prediction of possible change in the range by two scenarios (RCP 2.6 and RCP 8.5) for 2050 and 2070. Using QGIS program, we estimated the areas of the species’ range, and compared them. According to the scenario RCP 2.6, by 2050, the range of the species will contract due to decrease in the territories with moderately continental climate, and by 2070, a restoration of the range would take place, for according to this scenario, the average annual temperature stabilizes. According to the scenario RCP 8.5, the range will contract by 2050 and will continue to decrease by 2070, for the concentration of CO2 continues to increase along with increase in average annual temperature. Climate changes can affect the life cycle of the beetle, its life expectancy and activity over the season. With changes in temperature, eggs and larvae of P. oblongopunctatus can be more vulnerable.


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