MULVA-4, a Processing Environment for Vegetation Analysis

1991 ◽  
pp. 407-428 ◽  
Author(s):  
O. Wildi
Keyword(s):  
Vegetation Analysis

Manual of Vegetation Analysis.

1963 ◽  
Vol 51 (2) ◽  
pp. 497
Author(s):  
P. Greig-Smith ◽  
Stanley A. Cain ◽  
G. M. de Oliveira Castro
Keyword(s):  
Vegetation Analysis

Molecular- and pollen-based vegetation analysis in lake sediments from central Scandinavia

2013 ◽  
Vol 22 (13) ◽  
pp. 3511-3524 ◽  
Author(s):  
Laura Parducci ◽  
Irina Matetovici ◽  
Sonia L. Fontana ◽  
K. D. Bennett ◽  
Yoshihisa Suyama ◽  
...  
Keyword(s):  
Lake Sediments ◽  
Vegetation Analysis

Comparison of different reflectance indices for vegetation analysis using Landsat-TM data

2018 ◽  
Vol 12 ◽  
pp. 70-77 ◽  
Author(s):  
Vinod Kumar ◽  
Anket Sharma ◽  
Renu Bhardwaj ◽  
Ashwani Kumar Thukral
Keyword(s):  
Landsat Tm ◽  
Vegetation Analysis ◽  
Reflectance Indices

scholarly journals Keanekaragaman Jenis Tumbuhan Dan Simpanan Karbon Pada Berbagai Tipe Penggunaan Lahan Di Kabupaten Pesisir Barat Provinsi Lampung

2018 ◽  
Vol 9 (3) ◽  
pp. 167-174
Author(s):  
Dian Ariyanti ◽  
Nurheni Wijayanto ◽  
Iwan Hilwan
Keyword(s):  
Land Use ◽  
Plant Species ◽  
National Park ◽  
Carbon Stock ◽  
Carbon Accumulation ◽  
Total Carbon ◽  
Above Ground Biomass ◽  
Vegetation Analysis ◽  
Coffee Plantation ◽  
Total Carbon Stock

Vegetation is one factor that can decrease carbon accumulation in the atmosphere. The diversity of plant species in each land use has different abilities to absorb carbon in the atmosphere. This research was conducted in Pesisir Barat Regency of Lampung Province on 4 (four) types of land use, namely: (1) natural forest in Balai Kencana Resort, Bukit Barisan National Park (2) oil palm plantation in Pekon Marang, (3) coffee plantation in Pekon Suka Mulya, and (4) agroforestry of repong damar in Pekon Pahmungan. This reserach aims to analyze the diversity of plant species and to calculate the potential of plant carbon stock and carbon sequestration (above ground biomass) using alometric equations in various types of land use in Pesisir Barat Regency. The research method was vegetation analysis to learn about the diversity of plant species and calculation of carbon stock using alometric equations. The results showed that the composition of plant species in Bukit Barisan NP found 83 plant species belonging to 37 families, in the palm plantation found 9 plant species belonging to 8 families, in the coffee garden found 17 plant species belonging to 11 families, and in agroforestry of repong damar found 73 plant species belonging to 33 families. The total carbon stock potential was 376.16 ton/ha and carbon sequestrated. 1 257.20 ton/ha with the highest carbon uptake available at repong damar agroforestry site of 901.11 ton/ha.Keywords: aboveground biomass, carbon, diversity, pesisir barat regency

scholarly journals Vegetation analysis and plant diversity in Pinus Jantho Forest (PJF) nature reserve, Aceh Besar

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
HILMINA ITAWAMERNI ◽  
SAIDA RASNOVI ◽  
ZUMAIDAR ZUMAIDAR
Keyword(s):  
Species Diversity ◽  
Plant Species ◽  
Nature Reserve ◽  
Diversity Index ◽  
Systematic Sampling ◽  
Vegetation Analysis ◽  
High Level ◽  
Piper Aduncum ◽  
Important Value Index ◽  
Pinus Merkusii

Pinus Jantho Forest (PJF) Nature Reserve has unique characteristics and distinctive ecosystem that plays an important role in the preservation of germplasm and the protection of natural resources. The sustainability of the PJF Nature Reserve is strongly determined by vegetation of its constituents. Therefore, an effort is needed to help its management properly, one of which is by knowing the diversity of plants that make up the community in PJF Nature Reserve. The purpose of this research is to analyze the composition and diversity of plant species in PJF Nature Reserve. Data collection and sampling were done using multiple square method. The plots were laid out by systematic sampling. PJF Nature Reserve composed of 111 species from 46 family. The seedling and understorey have the highest number individuals (1028 in total). Then there are 240 individuals at sapling level, 108 individuals at pole, and 72 individuals for tree.  The Euphorbiaceae family has the largest number of species (11 species). The highest Important Value Index (IVI) for seedlings and understorey, sapling and pole, and tree respectively were Chloranthus elatior (11.09%), Piper aduncum (21.90% and 19.32%), and Pinus merkusii (25.52%). The Diversity Index indicates a high level of plant species diversity (3.25-3.63).

scholarly journals Kajian Hutan Kota Malabar terhadap Kenyamanan Termal

2020 ◽  
Vol 3 (1) ◽  
pp. 21
Author(s):  
Eduardo Hilario Bado Towary ◽  
Roedy Sulistyono ◽  
Sama’ Iradat Tito ◽  
Muh. Agus Ferdian
Keyword(s):  
Thermal Comfort ◽  
Thermal Condition ◽  
Open Space ◽  
Green Space ◽  
Tree Level ◽  
Vegetation Types ◽  
Vegetation Analysis ◽  
Humidity Index ◽  
Important Value Index ◽  
The City

<pre>Comfort is something that humans need without exception when in a Green Open Space (RTH). Thermal comfort is a thermal condition felt by humans that is influenced by the environment. The existence of green space such as the City Forest of Malabar needs to be measured about it which can define its feasibility. (1) To examine the effect of thermal comfort in the Malabar forest on the community. (2) Analyzing vegetation in the Malabar city forest related to comfort. The results obtained in this study are the Temperature humidity index (THI) of respondents in the Malabar city forest known to average values of 22.42. It can be categorized that the Malabar city forest has a comfortable condition because in the index range 21 to 24. The analysis of the vegetation analysis in the Malabar city forest is concluded for the predominant vegetation sapling level, ie the pole glodokan plant with an important value index of 6.69. Whereas the pole level that dominates is mahogany with an important value index of 6.66. As for the tree level, the dominant vegetation types are plants with an important value index of 127.91</pre>

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