Conservation of rare and inquisitive wild fruit speceis of Haldwani forest area through rare tree Species conservation centre

2017 ◽  
Vol 49 (2) ◽  
pp. 207
Author(s):  
Chandra Shekhar Sanwal ◽  
Anup Raj ◽  
H.B. Naithani
Keyword(s):  
Tree Species ◽  
Species Conservation ◽  
Forest Area ◽  
Wild Fruit

scholarly journals Abundance, frequency and distribution pattern of tree species in recorded forest area of Western Himalaya

2020 ◽  
Vol 12 (2) ◽  
pp. 341-355
Author(s):  
Arun K. THAKUR ◽  
Rajesh KUMAR ◽  
Raj K. VERMA
Keyword(s):  
Forest Management ◽  
Distribution Pattern ◽  
Tree Species ◽  
Western Himalaya ◽  
National Forest Inventory ◽  
Forest Area ◽  
Wild Fruit ◽  
Intensive Forest Management ◽  
Morisita Index ◽  
Myrica Esculenta

The forest in India have a long history of human induced modifications through intensive forest management that began in the colonial period but continued afterwards to meet the wood-based demand until the forestry goals shifted towards conservation efforts. All this greatly influenced the plant community structure. We attempt to describe the abundance and distribution pattern of trees in recorded forestland of Western Himalaya using the National Forest Inventory database. A total of 3549 sample plots laid across different forest types were analyzed to reveal the abundance, frequency and distribution pattern of 226 tree species/genus using various indices i.e. abundance by frequency ratio, Morisita index and variance mean ratio. Twelve tree species and Eucalyptus genus were found to be most abundantly found tree species in recorded forest area of Western Himalaya. Ten tree species were found to have regular distribution pattern, one hundred ninety-two were contagiously distributed while twenty-five were randomly distributed. Results derived from huge datasets helps in establishing firm statements with quoted significance value. Myrica esculenta and Aegle marmelos were found among the most abundantly occurring tree species whereas Myrica esculenta, Syzygium cumini and Pyrus pashia, were among the most relatively frequently occurring wild fruit yielding tree species. These species (apart from fodder tree species) can be considered in social forest and joint forest management programs in forest fringe villages/areas to enhance and sustain the provisional ecosystem services in Western Himalaya.

Cabruca agroforests in southern Bahia, Brazil: tree component, management practices and tree species conservation

2012 ◽  
Vol 21 (4) ◽  
pp. 1055-1077 ◽  
Author(s):  
Regina H. R. Sambuichi ◽  
Daniela B. Vidal ◽  
Flora B. Piasentin ◽  
Jomar G. Jardim ◽  
Thiago G. Viana ◽  
...  
Keyword(s):  
Tree Species ◽  
Management Practices ◽  
Species Conservation ◽  
Southern Bahia ◽  
Tree Component

scholarly journals KEANEKARAGAMAN JENIS POHON SEBAGAI SALAH SATU INDIKATOR KESEHATAN HUTAN LINDUNG (Studi Kasus di Kawasan Hutan Lindung yang Dikelola oleh HKm Beringin Jaya)

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Rahmat Safei ◽  
Hari Kaskoyo ◽  
Arief Darmawan ◽  
Fansuri Fikri Haikal
Keyword(s):  
Tree Species ◽  
Life Support ◽  
Great Influence ◽  
Forest Health ◽  
Stable Condition ◽  
Health Condition ◽  
Forest Area ◽  
Main Function ◽  
Biodiversity Indicators ◽  
Protected Forests

Protection forest becomes a forest area with the main function as protection of life support systems. The health condition of protected forests has a great influence on the environment of the ecosystem. It is important to assess the health of protected forests in view of their main function. Thus to determine the health condition of the forest, one indicator that can be used is tree biodiversity. Biodiversity is the richness of life found on earth. Assessment of biodiversity indicators is very necessary to do because it is sensitive to changes, ecological system indicators, spatial heterogeneity, temporal, and and the order in the food chain. This study aims to determine the diversity of tree species in protected forest areas managed by HKm Beringin Jaya as an indicator of forest health assessment. The study was conducted using the Forest Health Monitoring (FHM) method. The results showed that the final value of forest health status with indicators of biodiversity (tree species diversity) in the protected forest area managed by HKm Beringin Jaya was in the good category of 50% in cluster plots (2, 5 and 6) and bad by 50% on cluster plots (1, 3 and 4), thus showing that the protected forest area managed by HKm Beringin Jaya has a fairly healthy (stable) condition with a moderate category.

scholarly journals Plântulas de espécies arbóreas na floresta ciliar do rio Mogi Guaçu, Pirassununga, SP, Brasil

Hoehnea ◽  
2021 ◽  
Vol 48 ◽  
Author(s):  
Israel Henrique Buttner Queiroz ◽  
Ricardo Augusto Gorne Viani ◽  
Renata Sebastiani
Keyword(s):  
River Basin ◽  
Plant Species ◽  
Tree Species ◽  
Riparian Forest ◽  
The State ◽  
Forest Area ◽  
Forest Community ◽  
Adult Individual ◽  
Morphological Aspects ◽  
Forest Remnant

RESUMO The permanence of a plant species in a forest community depends on its number of specimens and its distribution in the various sizes of individuals, including seedlings. Seedlings and seeds from a forest remnant in Pirassununga were collected and analyzed for the degree of threat, possible height of the adult individual, occurrence in phytophysiognomies and region and morphological aspects. 116 seedlings available in 39 morphospecies were collected, and the germination of collected seeds provided 40 species. The present study brought news regarding the morphological aspects, the identification and the distribution of seedlings of tree species in a riparian forest area in the Mogi Guaçu River Basin and in the State of São Paulo.

scholarly journals National mapping and estimation of forest area by dominant tree species using Sentinel-2 data

2020 ◽  
Author(s):  
Johannes Breidenbach ◽  
Lars T. Waser ◽  
Misganu Debella-Gilo ◽  
Johannes Schumacher ◽  
Johannes Rahlf ◽  
...  
Keyword(s):  
Tree Species ◽  
Deciduous Forest ◽  
National Level ◽  
National Forest Inventory ◽  
Forest Area ◽  
Forest Resource ◽  
Species Specific ◽  
Minimum Numbers ◽  
Generate Model ◽  
Sentinel 2

Nation-wide Sentinel-2 mosaics were used with National Forest Inventory (NFI) plot data for modelling and subsequent mapping of spruce-, pine- and deciduous-dominated forest in Norway at a 16m×16m resolution. The accuracies of the best model ranged between 74% for spruce and 87% for deciduous forest. An overall accuracy of 90% was found on stand level using independent data from more than 42,000 stands. Errors mostly resulting from a forest mask reduced the model accuracies by approximately 10%. The produced map was subsequently used to generate model-assisted (MA) and post stratified (PS) estimates of species-specific forest area. At the national level, efficiencies of the estimates increased by 20% to 50% for MA and up to 90% for PS. Greater minimum numbers of observations constrained the use of PS. For MA estimates of municipalities, efficiencies improved by up to a factor of 8 but were sometimes also less than 1. PS estimates were always equally as or more precise than direct and MA estimates but were applicable in fewer municipalities. The tree species prediction map is part of the Norwegian forest resource map and is used, among others, to improve maps of other variables of interest such as timber volume and biomass.

scholarly journals Machine Learning for Tree Species Classification Using Sentinel-2 Spectral Information, Crown Texture, and Environmental Variables

2020 ◽  
Vol 12 (12) ◽  
pp. 2049
Author(s):  
Joongbin Lim ◽  
Kyoung-Min Kim ◽  
Eun-Hee Kim ◽  
Ri Jin
Keyword(s):  
Machine Learning ◽  
South Korea ◽  
Tree Species ◽  
North Korea ◽  
Forest Type ◽  
Forest Area ◽  
Training Data ◽  
Machine Learning Techniques ◽  
Forest Types

The most recent forest-type map of the Korean Peninsula was produced in 1910. That of South Korea alone was produced since 1972; however, the forest type information of North Korea, which is an inaccessible region, is not known due to the separation after the Korean War. In this study, we developed a model to classify the five dominant tree species in North Korea (Korean red pine, Korean pine, Japanese larch, needle fir, and Oak) using satellite data and machine-learning techniques. The model was applied to the Gwangneung Forest area in South Korea; the Mt. Baekdu area of China, which borders North Korea; and to Goseong-gun, at the border of South Korea and North Korea, to evaluate the model’s applicability to North Korea. Eighty-three percent accuracy was achieved in the classification of the Gwangneung Forest area. In classifying forest types in the Mt. Baekdu area and Goseong-gun, even higher accuracies of 91% and 90% were achieved, respectively. These results confirm the model’s regional applicability. To expand the model for application to North Korea, a new model was developed by integrating training data from the three study areas. The integrated model’s classification of forest types in Goseong-gun (South Korea) was relatively accurate (80%); thus, the model was utilized to produce a map of the predicted dominant tree species in Goseong-gun (North Korea).

scholarly journals Baumplantagen weltweit – eine Übersicht | Tree plantations worldwide – an overview

2008 ◽  
Vol 159 (6) ◽  
pp. 124-132 ◽  
Author(s):  
Albrecht Bemmann ◽  
Jürgen Pretzsch ◽  
Andreas Schulte
Keyword(s):  
Tree Species ◽  
Ecological Factors ◽  
Forest Area ◽  
National Standards ◽  
Tree Plantations ◽  
Deciduous Trees ◽  
Economic Factors ◽  
Secondary Forests ◽  
Material Recovery ◽  
Dominating Tree

With increasing population density and industrialization, plantations with various, fast growing tree species have been established in countries where timber resources of primary and secondary forests did not cover the needed supply for the timber industry. Today, tree plantations cover an area of approximately 137 m ha, which equals 3.5% of the worldwide forest area. Dominating tree species are conifers of the genera Pinus (28%), Cunning-hamia (9%), Larix (5%) and Picea (4%) as well as deciduous trees of the genera Eucalyptus (6%), Populus (5%) and Acacia (5%). Since the demand for wood is increasing, many countries such as China, India, Thailand and |apan aim to increase their forest area by the use of plantations. This will lead to an increased competition between the cultivation of crops and the cultivation of biomass for energy and material recovery. In Europe, economic factors such as the price for land will decide how agriculture and forest areas will be managed in the future. Based on ecological factors such as biodiversity, soil erosion and C-sequestering, national standards will also influence this management. In the 1970s, the first boom of plantations was coined by numerous problems and undesirable developments. Since then however, new knowledge has been gained. As a benefit, the current multi-disciplinary management methods allow plantations to be ecological and socially acceptable.

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