Diversity of flower‐visiting hoverflies (Diptera: Syrphidae) on ground cover vegetation from the market‐gardening area of Meskine (Far‐North Region, Cameroon)

2021 ◽  
Author(s):  
Michelson Azo'o Ela ◽  
Bernard Bissou Wangbara ◽  
Kurt Jordaens

2021 ◽  
Vol 17 ◽  
Author(s):  
Pierre Beukes ◽  
Andrea Babylon ◽  
Wendy Griffiths ◽  
Simon Woodward ◽  
Electra Kalaugher ◽  
...  

The objective of this study was to predict the future performance of perennial ryegrass in the Upper North Island, New Zealand. The Basic Grassland model, BASGRA, was used with historic, current and future daily climate data as input, and soil water holding capacity, to predict changes in perennial ryegrass performance in space and time. The study focussed on land of ≤7° slope north of the town of Tokoroa and considered two potential warming pathways to the end of the 21st century. Persistence was defined as the time in years for the ryegrass sward to decline to 50% ground cover. The results for the two climate pathways were largely consistent with each other. Persistence should remain in the medium category (2.5-3.4 years, 10-12 t DM/ha) for the rest of this century for Bay of Islands, Whangarei, South Waikato/Tokoroa, and Rotorua. Persistence is predicted to change from medium to predominantly low (0-2.4 years, <10 t DM/ha) for Far North, Dargaville, DairyFlat/Rodney, Waiuku/Pukekohe and northern and central parts of Waikato. Coastal regions of Bay of Plenty were predicted to be poorly suited to perennial ryegrass and to remain so into the rest of the century. Large parts of the Upper North Island that are currently borderline for perennial ryegrass are predicted to become unsuitable for the species.



2012 ◽  
Vol 7 (1) ◽  
pp. 287-298 ◽  
Author(s):  
Hassan Yeganeh ◽  
Seyed jamale Khajedein ◽  
Fazel Amiri ◽  
Abdul Rashid B. Mohamed Shariff


1963 ◽  
Vol 39 (3) ◽  
pp. 273-278 ◽  
Author(s):  
P. K. Heringa ◽  
R. G. H. Cormack

The present paper describes the ground vegetation of even-aged pine stands in West Central Alberta on six different sites and attempts to relate the ground vegetation to soil conditions.



PLoS ONE ◽  
2015 ◽  
Vol 10 (2) ◽  
pp. e0117265 ◽  
Author(s):  
Daniel Paredes ◽  
Luis Cayuela ◽  
Geoff M. Gurr ◽  
Mercedes Campos


2021 ◽  
Vol 8 (1) ◽  
pp. 060-065
Author(s):  
Mohammad Kanedi ◽  
Nismah Nukmal ◽  
Gina Dania Pratami ◽  
Hajariyah

Spider (Arachnida) is one of the classes of arthropods known to give strong responses to differences in land cover vegetation. This study intended to investigate whether the difference of vegetation types that are located adjacently occupied by the same genera of spiders. Two adjacent areas in Liwa Botanical Garden that covered by two different types vegetation were assigned as the sampling sites. The spiders sampling was carried out over a 100 meter long transect line (5 lines each) by applying active searching and pitfall trapping techniques. There were 21 genera from 9 spider families that were collected from two sampling sites. In the land vegetated with wood, there were 12 genera with 129 specimens. In the herbaceous land, there were 13 spider genera with 120 specimens. The Simpson's index of diversity were 0.7739 and 0.8868, meanwhile the Shannon's index were 1.8575and 2.2831, respectively obtained at herbaceous and woody land. The difference of diversity between two compared sites by Hutcheson t-test was highly significant (α < 0.01). This presumption is also supported by the coefficient of dissimilarity calculated using Sorensen’s index formula (Ss = 75.7575). Thus it can be concluded that the different types of land cover vegetation have a significant impact on the diversity of the dwelling spiders even though the two fields are located adjacent to each other.



1990 ◽  
Vol 20 (10) ◽  
pp. 1570-1582 ◽  
Author(s):  
Louis Archambault ◽  
Burton V. Barnes ◽  
John A. Witter

An ecological multifactor approach was used to identify and describe oak ecosystem types in highly disturbed landscapes and fragmented forests in an area of over 19 000 km2 in southeastern Michigan, United States. Eleven upland ecosystems and 1 wetland ecosystem were identified in the field using reconnaissance, plot sampling, and test mapping. Each ecosystem type was a characteristic combination of physiography, soil, and climax vegetation (overstory and ground-cover vegetation). The ecological approach emphasized physiographic and soil factors because of the disturbed state of the vegetation. Of 222 species of ground-cover vegetation, only 68 were used in forming the 13 ecological species groups. White oak (Quercusalba L.) exhibited the largest ecological amplitude of the three major oak species; it occurred on dry to mesic sites. Red oak (Q. rubra L.) occurred on dry-mesic to mesic sites, and black oak (Q. velutina Lam.) was restricted to dry sites. Discriminant analysis was used to examine the distinctness of the upland ecosystems and to compare the error rates of different ecosystem components. The misclassification rates obtained by using all ecosystem components (physiography, soil, ecological species groups, and overstory vegetation) were the lowest: 20% in highly dissected terrain and 34% in flat to gently rolling terrain. However, results obtained with physiography–soil and ecological species group variables were nearly as good as results that added the overstory vegetation. More overlap among ecosystem types and higher misclassification rates were found than in ecosystems of old-growth forests of northern Michigan and oak forests in southwestern Wisconsin where similar methods were used. Nevertheless, for the highly disturbed forests of southern Michigan, the ecological, multifactor landscape approach is a useful and effective method of identifying, describing, and mapping ecosystem types.



2017 ◽  
Vol 49 (4) ◽  
pp. 537-550 ◽  
Author(s):  
Le Ge ◽  
Peter M. Lafleur ◽  
Elyn R. Humphreys


2017 ◽  
Vol 26 (1) ◽  
pp. 37-48 ◽  
Author(s):  
Paul E. Thurman ◽  
Thomas L. Crisman ◽  
David Carr


2014 ◽  
Vol 70 ◽  
pp. 175-182 ◽  
Author(s):  
Nian-Feng Wan ◽  
Xiao-Jun Gu ◽  
Xiang-Yun Ji ◽  
Jie-Xian Jiang ◽  
Ji-Hua Wu ◽  
...  


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