scholarly journals Increase in nonnative understorey vegetation cover after nonnative conifer removal and passive restoration

2019 ◽  
Vol 44 (8) ◽  
pp. 1384-1397 ◽  
Author(s):  
Martha Sample ◽  
Clare E. Aslan ◽  
Nahuel Policelli ◽  
Robert L. Sanford ◽  
Erik Nielsen ◽  
...  
Keyword(s):  
Vegetation Cover ◽  
Understorey Vegetation ◽  
Passive Restoration

scholarly journals ANALISIS NILAI INDEKS KEHIJAUAN (NDVI) PADA POLA RUANG KOTA AMBON, PROVINSI MALUKU

2019 ◽  
Vol 3 (1) ◽  
pp. 55-67
Author(s):  
Jan Willem Hatulesila ◽  
Gun Mardiatmoko ◽  
Irwanto Irwanto
Keyword(s):  
Spatial Patterns ◽  
Vegetation Cover ◽  
Open Space ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Vacant Land ◽  
Understorey Vegetation ◽  
The Road ◽  
Sampling Locations ◽  
Building Area

Green Open Space is a component of landscaping that greatly affects urban air both directly and indirectly. The ideal standard minimum area of ​​green open space is at least 30% of the total area of ​​the city.The study used a spatial analysis method through the approach to calculating the Normalized Difference Vegetation Index (NDVI) for vegetation cover. Overlay analysis of GIS vegetation cover maps with the Ambon city spatial pattern map, has produced a map of the city green open spatial model, which shows a picture of existing corridors of green open space patterns, building spatial patterns, and non-vegetation spatial patterns (vacant land) .The results of the analysis of the green open space model map recommend the need for areas with urban park areas, park spots areas, and tree corridor areas planted on either side of the road. Inventory method, analysis of spatial and observations carried out at nine sampling locations, showed that the location of Ambon City's green open space was ± 1.115.900 m2 or 111,59 ha, with cover of understorey vegetation (grasses and saplings) 16,31 ha. Estimated carbon content of understorey vegetation (grasses and saplings) 52,49 kg/ha and 883 kg/ha of pole and tree vegetation.  Normalized Difference Vegetation Index (NDVI) in nine sampling locations of Ambon City's green open space, for the area of vegetation cover is 61.58 ha or 58.31%, building area 39.63 ha or 37.52% and vacant land 4.40 ha or 4.17%.

Effects of vegetation cover on seedling and sapling dynamics in secondary tropical wet forests in Costa Rica

2005 ◽  
Vol 22 (1) ◽  
pp. 65-76 ◽  
Author(s):  
Juan Manuel Dupuy ◽  
Robin L. Chazdon
Keyword(s):  
Costa Rica ◽  
Tree Species ◽  
Vegetation Cover ◽  
Secondary Forest ◽  
Canopy Gaps ◽  
Canopy Gap ◽  
Control Treatment ◽  
Secondary Forests ◽  
Tree Seedling ◽  
Understorey Vegetation

We examined effects of experimental manipulations of vegetation cover on recruitment, mortality and density of seedlings (20–100 cm tall) and saplings (≥100 cm tall) of woody growth forms over a 2.5-y period. We created four treatments in each of three 15–20-y-old tropical forest stands in Costa Rica: a large canopy gap (270–350 m2), a small canopy gap (50–100 m2), understorey vegetation removal, and an unmanipulated control treatment. Creation of canopy gaps, especially large ones, increased first-year recruitment and density, as well as overall mortality of seedlings. Saplings experienced lower mortality and more prolonged gap-enhanced recruitment and density than seedlings. Removal of understorey vegetation had little or no effect on tree seedling and sapling dynamics. Recruitment and density of lianas responded only to large gaps, whereas understorey species responded to both gap treatments and to spatial heterogeneity within gaps. Tree species exhibited diverse regeneration requirements, whereas liana and understorey species were more specialized to the high and low ends of the light availability gradient, respectively. Canopy gaps provide a critical mechanism for regeneration of lianas, and canopy tree species that dominate during the early stages of secondary forest succession. The choice of management system for these secondary forests can determine the direction and rate of succession.

Attempted Understorey Characterization Using Aerial Photography in Kanha National Park, Madhya Pradesh, India

1991 ◽  
Vol 18 (1) ◽  
pp. 45-50 ◽  
Author(s):  
Mahesh C. Porwal ◽  
Parth S. Roy
Keyword(s):  
Vegetation Cover ◽  
National Park ◽  
Canopy Cover ◽  
Wildlife Habitat ◽  
Aerial Photographs ◽  
Understorey Vegetation ◽  
Cover Type ◽  
Black And White ◽  
Habitat Evaluation ◽  
The Individual

Remote sensing is being widely used in the fields of resource management, planning, and wildlife habitat evaluation. Canopy cover-type mapping has been done in most of the bioclimatic zones of India and widely abroad, using aerial photointerpretation techniques. In the present study an attempt has been made to develop a methodology for mapping understorey vegetation in part of Kanha National Park, using 1:10,000-scale black-and-white aerial photographs.The Park, one of the best for Tiger (Felis tigris) visibility and observation of other large carnivores and herbivores, has been mapped, with subdivision into 11 vegetation cover-classes and four density-classes, using aerial photographs, and each class has been visited in the field for understorey information concerning different physiographic units. Each category of canopy-cover was sampled in the field, and tree base-cover per hectare has been estimated.Vertical profiles have also been drawn in the main vegetation classes in order to understand the occurrence of understorey vegetation. It was found that a physiographic analysis coupled with canopy-cover type and density, with appropriate sampling in the individual vegetation strata, have together proved indicative of understorey vegetationtype. When the relationship between understorey vegetation and canopy-cover type is established, one can directly depict understorey limits spatially in conjunction with the main vegetation cover. Such an approach of mapping understorey vegetation using aerial photographs could be of immense value for wildlife habitat evaluation and park management.

scholarly journals Influence of microhabitat structure and disturbance on detection of native and non-native murids in logged and unlogged forests of northern Borneo

2014 ◽  
Vol 31 (1) ◽  
pp. 25-35 ◽  
Author(s):  
Jeremy J. Cusack ◽  
Oliver R. Wearn ◽  
Henry Bernard ◽  
Robert M. Ewers
Keyword(s):  
Vegetation Cover ◽  
Native Species ◽  
Habitat Preferences ◽  
Rattus Rattus ◽  
Probability Of Detection ◽  
Ground Vegetation ◽  
Suitable Habitat ◽  
Trap Site ◽  
Forest Patch ◽  
Understorey Vegetation

Abstract:Understanding the habitat preferences of native and non-native species may offer valuable insights into the mechanisms favouring invasion of disturbed habitats. This study investigated the determinants of trap-site detection probability of three native (Maxomys surifer, Maxomys whiteheadi and Leopoldamys sabanus) and one invasive (Rattus rattus) species of terrestrial murid (Muridae) in logged and unlogged forests of northern Borneo. We established four and two trapping grids in repeatedly logged and unlogged forest, respectively, for a total of 500 sampled trap sites. From these, we obtained 504 detections of the four species over 3420 trap nights. For each species, probability of detection was modelled as a function of both the structural components and disturbance level of the forest patch measured around each trap site. Each of the four species showed contrasting microhabitat preferences: M. surifer favoured increased canopy closure and intermediate ground and understorey vegetation cover; M. whiteheadi preferred increased ground vegetation cover and canopy height; L. sabanus favoured sites with larger amounts of coarse woody debris and less leaf litter; and R. rattus was associated with increased ground vegetation cover. Within logged forest, detection probabilities of the three native species did not vary significantly with level of patch disturbance, whereas that of the invasive R. rattus increased markedly in more degraded sites. This latter finding will have increasingly important implications when considering the rapid degradation of forests in the region, and the resulting expansion of suitable habitat for this competitive species.

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