The influence of contrasting ground cover vegetation on soil properties in the NJ pine barrens

2012 ◽  
Vol 60 ◽  
pp. 41-48 ◽  
Author(s):  
D.M. Gray ◽  
J. Swanson ◽  
J. Dighton
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.


Animals ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1666
Author(s):  
Silvana Pietrosemoli ◽  
Charles Raczkowski ◽  
James T. Green ◽  
Maria Jesús Villamide

This study compares four stocking rates (37, 74, 111 and 148 pigs ha−1) for growing to finishing pigs (18.4 ± 0.5 kg and 118.5 ± 2.0 kg and 35.7 ± 2.1 kg and 125.7 ± 2.3 kg initial and final BW for grazing periods 1 and 2, respectively) and their effect on ground cover and soil traits in bermudagrass (Cynodon dactylon [L.] Pers) pastures, over two 14-week grazing periods (July–September and May–August). The study was conducted at the Center for Environmental Farming systems at the Cherry Research Station, Goldsboro North Carolina. A continuous stocking method was implemented to manage the pasture. The percent ground cover was estimated with a modified step point technique. Soil samples were collected in three sampling positions (center, inner and outer areas of the paddocks) and two soil sampling depths (0–30 and 30–90 cm). The experimental design was a completely randomized block with three field replicates. Data were analyzed using the PROC GLIMMIX procedure of SAS/STAT ® Version 9.4. Greater ground cover and lesser soil nutrient concentrations were registered in bermudagrass paddocks managed with 37 pigs ha−1. The results of this study also validated the existence of a spatial pattern of soil properties, which differed among sampling positions and depths.


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

2017 ◽  
Author(s):  
Carole Bastianelli ◽  
Adam A. Ali ◽  
Julien Beguin ◽  
Yves Bergeron ◽  
Pierre Grondin ◽  
...  

Abstract. At the northernmost extent of the managed forest in Quebec, the boreal forest is currently undergoing an ecological transition between two forest ecosystems. Open lichen woodlands (LW) are spreading southward at the expense of more productive closed-canopy black spruce-moss forests (MF). The objective of this study was to investigate whether soil properties could distinguish MF from LW in the transition zone where both ecosystem types coexist. All the soils studied were typical podzolic soil profiles evolved from glacial till deposits that shared a similar texture of the C layer. However, soil humus and the B layer varied in thickness and chemistry between the two forest ecosystems at the pedon scale. Multivariate analyses of variance were used to evaluate how soil properties could help distinguish the two types at the site scale. MF humus (FH horizons) showed significantly higher concentrations of organic carbon and of the main exchangeable base cations (Ca, Mg) than LW soils, which were nutritionally poorer. The B horizon of LW sites held higher concentrations of total Al and Fe oxides, and particularly greater concentrations of inorganic amorphous Fe oxides than MF mineral soils, while showing a thinner B layer. Overall, our results show that MF store three times more organic carbon in their soils (B + FH horizons, roots apart) than LW. We suggest that variations in soil properties between MF and LW are linked to a cascade of events involving the impacts of natural disturbances such as wildfires on forest regeneration that determines the of vegetation structure (stand density) and composition (ground cover type) and their subsequent consequences on soil environmental parameters (moisture, radiation rate, redox conditions, etc.). Our data underline significant differences in soil biogeochemistry under different forest ecosystems and reveal the importance of interactions in the soil–vegetation–climate system for the determination of soil composition.


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

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