Monitoring the vegetation structure of south-central Etosha National Park using terrestrial photographs

In 1984, a ground-based, photographic library was initiated for monitoring the vegetation dynamics in Etosha National Park. Over 400 photographic points were selected. At these points, panchromatic photographs were taken at intervals of six years. This study was undertaken to assess the applicability of this terrestrial photographic library in characterising the dynamics of the vegetation structure in south-central Etosha National Park. The methods employed include field validation, visual photograph interpretations, spatial analysis, and aggregated two-dimensional tables. Results, though patchy in nature, show that the vegetation structure at 63 % of the sites covered remained either unchanged or increased over the 15-year study period. The patchiness of the photo points can be exploited and be treated as training sites for corresponding satellite image classifications to provide continuous ground coverage results.

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The Vegetation Structure of Evergreen Coniferous Forests of Daehuksan Island in the Dadohaehaesang National Park

The Journal of Korean Island ◽

10.26840/jki.30.1.173 ◽

2018 ◽

Vol 30 (1) ◽

pp. 173-193 ◽

Cited By ~ 2

Author(s):

Yeongjun Cho ◽

Hasong Kim ◽

Hyeonho Myeong ◽

Jungwon Park ◽

Janggeun Oh

Keyword(s):

Vegetation Structure ◽

National Park ◽

Coniferous Forests

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Composition of Vegetation Types and Structures in Gunung Ciremai National Park Forest

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/748/1/012009 ◽

2021 ◽

Vol 748 (1) ◽

pp. 012009

Author(s):

Agusyadi Ismail ◽

Yayan Hendrayana ◽

Dadan Ramadani ◽

Sri Umiyati

Keyword(s):

Plant Species ◽

Vegetation Structure ◽

National Park ◽

Stand Structure ◽

Complex Structure ◽

Forest Vegetation ◽

Intensity Data ◽

Vegetation Types ◽

Growth Phases ◽

High Level

Abstract Mount Ciremai National Park forest that area had been encroached. Because of that condition, stand structure especially the species composition and vegetation structure need to be researched. The aim of this research was to identify plant species and analyze forest vegetation structure. This research was conducted between March–April 2018 in the 15.500 ha area with 0.02% sampling intensity. Data was collected using grid line method that consisted of 34 sample plots with the 10 m distance between the plots and 20 m between the lines. The numbers of identified plant species at the research location were 43 species, classified by 10 families and 24 genera. Cinnamomum sintoc has a high level of dominance species. The forest vegetation was consisting by the different growth phases. The tree phase has the highest density of 3672 species/ha, while the seedling phase was lowest density of 1060 species/ha. The forest crown stratification were consisting of A, B, C, D and E stratum. The highest number of plants were from C strata for 4651 trees and the least from A strata with 25 trees with the highest tree was 42 m. Could be concluded that the composition of Mount Ciremai National Park forest have so many number of species and complex structure vegetation forest.

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Vegetation structure and floristic composition of tree species in the habitat of Scaphium macropodum in Gunung Leuser National Park, Sumatra, Indonesia

Biodiversitas Journal of Biological Diversity ◽

10.13057/biodiv/d210720 ◽

2020 ◽

Vol 21 (7) ◽

Author(s):

ARIDA SUSILOWATI ◽

DENI ELFIATI ◽

HENTI HENDALSTUTI RACHMAT ◽

KUSUMADEWI SRI YULITA ◽

ADI NURUL HADI ◽

...

Keyword(s):

Tree Species ◽

Vegetation Structure ◽

National Park ◽

Diversity Index ◽

Good Condition ◽

Floristic Composition ◽

Line Transect ◽

Growth Stages ◽

Limited Information ◽

Wiener Diversity Index

Abstract. Susilowati A, Elfiati D, Rachmat HH, Yulita KS, Hadi AN, Kusuma YS, Batu SAL. 2020. Vegetation structure and floristic composition of tree species in the habitat of Scaphium macropodum in Gunung Leuser National Park, Sumatra, Indonesia. Biodiversitas 21: 3025-3033. Scaphium macropodum (Miq.) Beumee Ex K Heyne is a member of Malvaceae tree species and globally recognized as malva nut and locally known as ‘kembang semangkok’, ‘tempayang’, ‘merpayang’ or ‘kepayang’. The nut of S. macropodum has many benefits for medicinal purposes, yet destructive extraction of this tree species has led them to extinction. Among its natural distribution in Indonesia, North Sumatra Province, Indonesia is known as its original range, but there is limited information about the existence of this species. This study aimed to determine the vegetation structure of some tree species in the habitat of S. macropodum in Sikundur, Gunung Leuser National Park, Sumatra, Indonesia. Purposive sampling technique was employed by creating line transect at some forest areas where the population of S. macropodum is known to grow naturally. Four line transects with each transect consisting of five plots with nested plots within were established to record data at four growth stages, resulting in 80 plots in total. The results showed that the Important Value Index (IVI) of S. macropodum within the floristic community at the studied area was 21.98, 13.85, 27.30, and 39.60 for tree, pole, sapling, and seedlings stages, respectively. The Shannon-Wiener Diversity Index (H) were 3.80, 3.70, 3.06 and 2.45, Index of evenness (E) are 0.94, 0.92, 0.86, 0.77 and the Index of Richness (R) are 11.76, 10.73, 6.59, 4.10 for tree, pole, sapling, and seedlings stages. This result suggests that the natural population of S. macropodum in Sikundur forest was still in good condition at all stages from tree to seedling.

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Upscaling with the dynamic two-layer classification concept (D2C): TreeMig-2L, an efficient implementation of the forest-landscape model TreeMig

Geoscientific Model Development Discussions ◽

10.5194/gmdd-8-5535-2015 ◽

2015 ◽

Vol 8 (7) ◽

pp. 5535-5575

Author(s):

J. E. M. S. Nabel

Keyword(s):

Vegetation Dynamics ◽

Climatic Changes ◽

Discrete Models ◽

Similarity Criteria ◽

Forest Landscape ◽

Two Dimensional ◽

Landscape Model ◽

Trade Off ◽

Forest Landscape Model ◽

Spatio Temporal

Abstract. Models used to investigate impacts of climatic changes on spatio-temporal vegetation dynamics need to balance required accuracy with computational feasibility. To enhance the computational efficiency of these models, upscaling methods are required that maintain key fine-scale processes influencing vegetation dynamics. In this paper, an adjustable method – the dynamic two-layer classification concept (D2C) – for the upscaling of time- and space-discrete models is presented. D2C aims to separate potentially repetitive calculations from those specific to single grid cells. The underlying idea is to extract processes that do not require information about a grid cell's neighbourhood to a reduced-size non-spatial layer, which is dynamically coupled to the original two-dimensional layer. The size of the non-spatial layer is thereby adaptive and depends on dynamic classifications according to pre-specified similarity criteria. I present how D2C can be used in a model implementation on the example of TreeMig-2L, a new, efficient version of the intermediate-complexity forest-landscape model TreeMig. To discuss the trade-off between computational expenses and accuracy, as well as the applicability of D2C, I compare different model stages of TreeMig-2L via simulations of two different application scenarios. This comparison of different model stages demonstrates that applying D2C can strongly reduce computational expenses of processes calculated on the new non-spatial layer. D2C is thus a valuable upscaling method for models and applications in which processes requiring information about the neighbourhood constitute the minor share of the overall computational expenses.

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Common Birds of Chitwan National Park, Nepal

Journal of Advanced Academic Research ◽

10.3126/jaar.v1i2.16585 ◽

2017 ◽

Vol 1 (2) ◽

pp. 19-26

Author(s):

Parveen Kumar Jha

Keyword(s):

Protected Area ◽

National Park ◽

Bird Species ◽

Point Of View ◽

Central Nepal ◽

South Central ◽

Tropical Vegetation ◽

Chitwan National Park ◽

Common Birds ◽

Very High

This research paper gives checklist of common birds of Chitwan National Park, which is a wild-life protected area in south-central Nepal. It covers tropical and sub-tropical vegetation. It is first protected area and includes 932 sq. km. Common birds observed are about 170 belonging to 48 Avian families during 2013-2014. Present investigator has very minutely observed birds in habitat conditions. Bird species were recognized by very high binocular. Birds were thoroughly studied from point of view of Taxonomy. Machans were also erected for observing birds.

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Bayesian model and spatial analysis of oral and oropharynx cancer mortality in Minas Gerais, Brazil

Ciência & Saúde Coletiva ◽

10.1590/1413-81232018231.17022015 ◽

2018 ◽

Vol 23 (1) ◽

pp. 153-160 ◽

Cited By ~ 1

Author(s):

Emílio Prado da Fonseca ◽

Cláudia Di Lorenzo Oliveira ◽

Francisco Chiaravalloti Neto ◽

Antonio Carlos Pereira ◽

Silvia Amélia Scudeler Vedovello ◽

...

Keyword(s):

Spatial Analysis ◽

Mortality Rate ◽

Cancer Mortality ◽

Bayesian Model ◽

Spatial Epidemiology ◽

Minas Gerais ◽

Bayesian Estimator ◽

Empirical Bayesian ◽

Oropharynx Cancer ◽

South Central

Abstract The objective of this study was to determine of oral and oropharynx cancer mortality rate and the results were analyzed by applying the Spatial Analysis of Empirical Bayesian Model. To this end, we used the information contained in the International Classification of Diseases (ICD-10), Chapter II, Category C00 to C14 and Brazilian Mortality Information System (SIM) of Minas Gerais State. Descriptive statistics were observed and the gross rate of mortality was calculated for each municipality. Then Empirical Bayesian estimators were applied. The results showed that, in 2012, in the state of Minas Gerais, were registered 769 deaths of patients with cancer of oral and oropharynx, with 607 (78.96%) men and 162 (21.04%) women. There was a wide variation in spatial distribution of crude mortality rate and were identified agglomeration in the South, Central and North more accurately by Bayesian Estimator Global and Local Model. Through Bayesian models was possible to map the spatial clustering of deaths from oral cancer more accurately, and with the application of the method of spatial epidemiology, it was possible to obtain more accurate results and provide subsidies to reduce the number of deaths from this type of cancer.

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Changes in Vegetation Cover and Productivity in Yosemite National Park (California) Detected Using Landsat Satellite Image Analysis

Journal of Biodiversity Management & Forestry ◽

10.4172/2327-4417.1000148 ◽

2015 ◽

Vol 04 (04) ◽

Author(s):

Christopher Potter

Keyword(s):

Image Analysis ◽

Vegetation Cover ◽

National Park ◽

Satellite Image ◽

Yosemite National Park ◽

Landsat Satellite ◽

Satellite Image Analysis

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Eco-epidemiological and pathological features of wildlife mortality events related to cyanobacterial bio-intoxication in the Kruger National Park, South Africa

Journal of the South African Veterinary Association ◽

10.4102/jsava.v87i1.1391 ◽

2016 ◽

Vol 87 (1) ◽

Cited By ~ 7

Author(s):

Roy Bengis ◽

Danny Govender ◽

Emily Lane ◽

Jan Myburgh ◽

Paul Oberholster ◽

...

Keyword(s):

South Africa ◽

National Park ◽

Field Investigation ◽

Water Levels ◽

Kruger National Park ◽

Cyanobacterial Blooms ◽

Toxicity Tests ◽

Management Options ◽

South Central ◽

Wildlife Mortality

Over the past decade, several clustered, multispecies, wildlife mortality events occurred in the vicinity of two man-made earthen dams in the southern and south central regions of the Kruger National Park, South Africa. On field investigation, heavy cyanobacterial blooms were visible in these impoundments and analysis of water samples showed the dominance of Microcystis spp. (probably Microcystis aeruginosa). Macroscopic lesions seen at necropsy and histopathological lesions were compatible with a diagnosis of cyanobacterial intoxication. Laboratory toxicity tests and assays also confirmed the presence of significant levels of microcystins in water from the two dams. These outbreaks occurred during the dry autumn and early winter seasons when water levels in these dams were dropping, and a common feature was that all the affected dams were supporting a large number of hippopotamuses (Hippopotamus amphibius). It is hypothesised that hippopotamus’ urine and faeces, together with agitation of the sediments, significantly contributed to internal loading of phosphates and nitrogen – leading to eutrophication of the water in these impoundments and subsequent cyanobacterial blooms. A major cause for concern was that a number of white rhinoceros (Ceratotherium simum) were amongst the victims of these bio-intoxication events. This publication discusses the eco-epidemiology and pathology of these clustered mortalities, as well as the management options considered and eventually used to address the problem.

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Technical Note: Development of a Landsat Time Series for Application in Forest Status Assessment in the Inland Northwest United States

Western Journal of Applied Forestry ◽

10.1093/wjaf/23.1.53 ◽

2008 ◽

Vol 23 (1) ◽

pp. 53-62 ◽

Cited By ~ 6

Author(s):

Russell N. Beck ◽

Paul E. Gessler

Keyword(s):

United States ◽

Time Series ◽

Vegetation Dynamics ◽

Vegetation Index ◽

Landsat Imagery ◽

Satellite Image ◽

Temporal Trends ◽

Monitoring Cost ◽

Small Pilot Study ◽

Inland Northwest

Abstract The Inland Northwest United States contains extensive areas of complex, inaccessible terrain requiring significant resource expenditure for forest inventory, assessment, and monitoring. Cost-effective methods are necessary for annual broad-scale assessment of forest condition over complex terrain. Proficiency in the use of timely satellite image products along with spatial analysis tools such as geographic information systems can assist natural resource managers to understand regional dynamics and change within these landscapes. Satellite-derived vegetation indices such as the normalized difference vegetation index (NDVI) can effectively assess and monitor vegetation dynamics of large remote areas. This article presents a newly developed archive and example methods for monitoring forest dynamics through the creation of NDVI departure maps. The NDVI products were generated from a time series of Landsat imagery (1989–2004) to derive both density distributions and a long-term departure from average map for any year or series of years within the time series archive. A preliminary application of the data is demonstrated showing temporal trends of vegetation dynamics relating to harvesting and management within two small pilot study areas in north Idaho.

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