Seasonal population fluctuation and spatial distribution of Orthoptera in two grassland areas of Attica – Greece

2014 ◽  
Vol 48 (11-12) ◽  
pp. 661-674 ◽  
Author(s):  
Spyridon Antonatos ◽  
Nikolaos Emmanouel ◽  
Argyro Fantinou ◽  
Antonios Tsagkarakis ◽  
Anastasios Anagnostopoulos ◽  
...  
1986 ◽  
Vol 76 (2) ◽  
pp. 265-274 ◽  
Author(s):  
M. J. Samways

AbstractParasitoids of Aonidiella aurantii (Maskell) on citrus in South Africa were monitored using two types of yellow sticky trap. One of these traps was highly efficient, being fluorescent with peak reflectance at about 530 nm. Aphytis spp. populations were low before February and high thereafter. Citrus surrounded by natural bush was an isolated reservoir of high host and parasitoid population levels. Aphytis spatial distribution within the orchard was extremely patchy, with over 100-fold differences in population levels over a distance of a few metres. This patchiness mirrored that of its host. This contagious spatial pattern was maintained despite 1000-fold seasonal changes in population levels. These temporal changes were characteristic and general throughout an orchard, and independent of patchiness. Initial Aphytis population levels did not dictate the final population level at the end of the season. Comperiella bifasciata Howard and its hyperparasitoid Marietta javensis (Howard) also showed clear seasonal population trends, but not of the same magnitude as those of Aphytis. There was no statistically significant correlation between the spatial distribution of one parasitoid with that of another, even between C. bifasciata and M. javensis. The patchiness of these two species was not correlated with overall host density. Aphytis and C. bifasciata were partially mutually exclusive. Aphytis was by far the most economically important of the parasitoids. Pest management practices, therefore, should aim at conserving the pool of Aphytis within the orchard as far as practicable.


2015 ◽  
Vol 4 (3) ◽  
pp. 1118-1141 ◽  
Author(s):  
Alan Smith ◽  
Andy Newing ◽  
Niall Quinn ◽  
David Martin ◽  
Samantha Cockings ◽  
...  

Phyton ◽  
2016 ◽  
Vol 85 (1) ◽  
pp. 236-245
Author(s):  
Chac髇-Hern醤dez J ◽  
E Cerna-Ch醰ez ◽  
Y Ochoa-Fuentes ◽  
A Hern醤dez-Ju醨ez ◽  
L Palacios-Bazald鷄 ◽  
...  

2014 ◽  
Vol 97 (4) ◽  
pp. 1783-1793 ◽  
Author(s):  
María Graciela González-Santarosa ◽  
Néstor Bautista-Martínez ◽  
Jesús Romero-Nápoles ◽  
Ángel Rebollar-Alviter ◽  
José Luis Carrillo-Sánchez ◽  
...  

Ecography ◽  
2015 ◽  
Vol 39 (5) ◽  
pp. 487-495 ◽  
Author(s):  
Ryosuke Sahara ◽  
Keiichi Fukaya ◽  
Takehiro Okuda ◽  
Masakazu Hori ◽  
Tomoko Yamamoto ◽  
...  

2007 ◽  
Vol 67 (2) ◽  
pp. 209-213 ◽  
Author(s):  
AM. Chernaki-Leffer ◽  
LM. Almeida ◽  
DR. Sosa-Gómez ◽  
A. Anjos ◽  
KM. Vogado

Knowledge of the population fluctuation and spatial distribution of pests is fundamental for establishing an appropriate control method. The population fluctuation and spatial distribution of the Alphitobius diaperinus in a poultry house in Cascavel, in the state of Parana, Brazil, was studied between October, 2001 and October 2002. Larvae and adults of the lesser mealworm were sampled weekly using Arends tube traps (n = 22) for six consecutive flock grow-outs. The temperature of the litter and of the poultry house was measured at the same locations of the tube traps. Beetle numbers increased continuously throughout all the sampling dates (average 5,137 in the first week and 18,494 insects on the sixth week). Significantly greater numbers of larvae were collected than adults (1 to 20 times in 95% of the sampling points). There was no correlation between temperature and the number of larvae and adults collected, therefore no fluctuation was observed during the sampling period. The population growth was correlated to litter re-use. The highest temperatures were observed in deep litter. The spatial distribution of larvae and adults in the poultry house was heterogeneous during the whole period of evaluation. Results suggest that monitoring in poultry houses is necessary prior to adopting and evaluating control measures due to the great variability of the insect distribution in the poultry house.


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