Ecological Attributes by Forest Types in the Natural Forest of Mt. Odae

Abstract This study was carried out in Tarmaber district north shewa zone Ethiopia to determine the effect of plantation forest with management intervention on woody plant species diversity, regeneration and soil seed bank species composition in five different forest types, which are adjacent natural forest, managed Cupressus lusitanica, unmanaged C. lusitanica, managed Eucalyptus globules and not managed E. globules plantation forests. A total of 75 circular sample plots of 314 m2 were established along a transect lines. Soil seed bank analysis was done from soil samples collected in each of the plots (225 samples) to examine the similarity between the soil seed bank and aboveground flora. Different diversity index and ANOVA was used in SPSS software for analysis. The result showed that a total of 51 woody plant species was recorded in adjacent natural forest (41), managed C. lusitanica (27), not managed C. lusitanica (9), managed E. globules (22) and not managed E. globules (13) species. Regeneration of seedlings were 3538, 5567, 707, 1462 and 2524 mean stems ha− 1 for natural forest, managed C. lusitanica, not managed C. lusitanica, managed E. globules and not managed E. globules respectively. Unmanaged C. lusitanica plantations had significantly lower densities of mature tree stems ha− 1 as compared to managed C. lusitanica, managed E. globules and adjacent natural forest (F = 14.03, p < 0.05).Similarly in terms of sapling density ha− 1 unmanaged C. lusitanica was significantly lower from other forest types (F = 7.37, p < 0.05). However managed C. lusitanica had significantly higher seedling regeneration (stem density ha− 1) than other plantation and adjacent natural forests (F = 16.11, p < 0.05). Generally mean stem densities including tree, sapling and seedling of woody species among different forest types managed C. lusitanica was significantly higher among different forest types (F = 13.01, p < 0.05). From the soil seed bank a total of 22 plant species (20 native and 2 exotic) species were recovered. In different forest types the number of species recorded was in adjacent natural forest (19), managed C. lusitanica (11), unmanaged C. lusitanica (4), managed E. globules (7) and unmanaged E. globules (5). The similarity of the oil seed bank was more or less similar to the above ground flora with maximum Sorenson’s similarity values of 0.633. Generally with appropriate management intervention undergrowth vegetation and soil seed bank status in plantation forest had good species composition and diversity.

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Assessment of the impact of the urbanized territory of Yekaterinburg city on the formation of undergrowth in the forest park zone

BIO Web of Conferences ◽

10.1051/bioconf/20213800130 ◽

2021 ◽

Vol 38 ◽

pp. 00130

Author(s):

Olga Tolkach ◽

Olga Dobrotvorskaya

Keyword(s):

Natural Forest ◽

Forest Types ◽

Floristic Similarity ◽

Adventive Species ◽

Forest Park ◽

Urbanized Territory ◽

Growing Conditions ◽

Forest Parks ◽

A Site ◽

The Impact

The parameters of the undergrowth in the forbs and berry groups of pine forest types in 9 parks in Yekaterinburg and areas of natural forest have been investigated. Data on the species composition, density, and distribution by groups of heights of plants that make up the undergrowth collected. It has been established that the transformation of the undergrowth by an urbanized environment neutralizes the influence of the growing conditions of the considered forest types on it. In the forest-park zone, an increase in the density of the undergrowth is observed in comparison with the natural forest. The specificity of the forest park undergrowth is the floristic contamination with adventive species, the number of which is close to 50% of the total number of undergrowth species. The coefficient of floristic similarity of the undergrowth, according to the Sorensen coefficient between forest parks and a site of natural forest, was 0.26-0.46. In quantitative terms, the self-seeding of adventive species in the undergrowth is less than that of native plants. The invasive activity of ash-leaved maple in city parks and its dynamics over a 10-year period are considered, using the example of one of the parks.

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Semi-Supervised Classification and Landscape Metrics for Mapping and Spatial Pattern Change Analysis of Tropical Forest Types in Thua Thien Hue Province, Vietnam

Forests ◽

10.3390/f10080673 ◽

2019 ◽

Vol 10 (8) ◽

pp. 673

Author(s):

Tuong ◽

Tani ◽

Wang ◽

Thang

Keyword(s):

Spatial Pattern ◽

Landscape Metrics ◽

Remotely Sensed ◽

Natural Forest ◽

Least Square ◽

Future Research ◽

Forest Transition ◽

Forest Types ◽

Remotely Sensed Data ◽

Forest Classification

Research Highlights: In this study, we classified natural forest into four forest types using time-series multi-source remotely sensed data through a proposed semi-supervised model developed and validated for mapping forest types and assessing forest transition in Vietnam. Background and Objectives: Data on current forest state and changes detection are always essential for forest management and planning. There is, therefore, a need for improved tools to classify and evaluate forest dynamics more accurately and effectively. Our objective is to develop such tools using a semi-supervised model and landscape metrics to classify and map changes in natural forest types by using multi-source remotely sensed data. Materials and Methods: A combination of Landsat data with PALSAR and PALSAR-2 was used for forest classification through the proposed semi-supervised model. This model turned a kernel least square into a self-learning algorithm, trained by a small number of samples with given labels, and then used this classifier to assign labels to the unlabeled data. The overall accuracy, kappa, user’s accuracy, and producer’s accuracy were used to evaluate the classification accuracy by comparing the classified image with the results of ground truth interpretation. Based on the classified images, forest transition was evaluated using certain landscape metrics at the class and landscape levels. Results: The multi-source data approach achieved improved discrimination of forest types compared to only using single data (optical or radar data). Good classification accuracies were obtained, with kappas of 0.81, 0.76, and 0.74 for the years 2007, 2010, and 2016, respectively. The analysis of landscape metrics indicated that there were different behaviors in the four forest types, as well as provided much information about the trends in spatial pattern changes. Conclusions: This study highlights the utilization of a semi-supervised model in forest classification, and the analysis of forest transition using landscape metrics. However, future research should include a comparison of different models to estimate the improvement of the proposed model. Another important study that should be conducted is to test the proposed method on larger areas.

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Estimating the productive potential of five natural forest types in northeastern China

Forest Ecosystems ◽

10.1186/s40663-019-0204-0 ◽

2019 ◽

Vol 6 (1) ◽

Cited By ~ 3

Author(s):

Zhaofei Wu ◽

Zhonghui Zhang ◽

Juan Wang

Keyword(s):

Sustainable Forest Management ◽

Northeastern China ◽

Natural Forest ◽

Seemingly Unrelated Regression ◽

Climate Factors ◽

Natural Forests ◽

Forest Types ◽

Forest Production ◽

Dominant Height ◽

Productive Potential

Abstract Background There is a serious lack of experience regarding the productive potential of the natural forests in northeastern China, which severely limits the development of sustainable forest management strategies for this most important forest region in China. Accordingly, the objective of this study is to develop a first comprehensive system for estimating the wood production for the five dominant forest types. Methods Based on a network of 384 field plots and using the state-space approach, we develop a system of dynamic stand models, for each of the five main forest types. Four models were developed and evaluated, including a base model and three extended models which include the effects of dominant height and climate variables. The four models were fitted, and their predictive strengths were tested, using the “seemingly unrelated regression” (SUR) technique. Results All three of the extended models increased the accuracy of the predictions at varying degrees for the five major natural forest types of northeastern China. The inclusion of dominant height and two climate factors (precipitation and temperature) in the base model resulted in the best performance for all the forest types. On average, the root mean square values were reduced by 13.0% when compared with the base model. Conclusion Both dominant height and climate factors were important variables in estimating forest production. This study not only presents a new method for estimating forest production for a large region, but also explains regional differences in the effect of site productivity and climate.

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Classification of Natural Forest Types for Forest Resource Monitorin Survey Data(FORCOM 2011)

Journal of Forest Planning ◽

10.20659/jfp.18.2_111 ◽

2013 ◽

Vol 18 (2) ◽

pp. 111-116

Author(s):

Fumiaki Kitahara ◽

Yasushi Mitsuda ◽

Akio Inoue ◽

Tsuyoshi Kajisa

Keyword(s):

Survey Data ◽

Natural Forest ◽

Forest Resource ◽

Forest Types ◽

Special Issue

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Diversity and abundance of longhorn beetles (Coleoptera: Cerambycidae) in Gunung Walat Educational Forest, West Java, Indonesia

Journal of Insect Biodiversity ◽

10.12976/jib/2015.3.17 ◽

2015 ◽

Vol 3 (17) ◽

pp. 1 ◽

Cited By ~ 2

Author(s):

Mihwan Sataral ◽

Tri Atmowidi ◽

Woro A. Noerdjito

Keyword(s):

Similarity Index ◽

Pine Forest ◽

Natural Forest ◽

Forest Types ◽

Plantation Forest ◽

West Java ◽

Longhorn Beetles ◽

Longhorn Beetle

Gunung Walat Educational Forest is located at an altitude of 500-700 m asl and has a variety of forest types. This research investigated the diversity and abundance of longhorn beetles found in several types of plantation forest. The beetles were collected using Artocarpus traps in September and October 2014. Sixteen species of longhorn beetle were found; these belonged to 7 tribes and 12 genera. The highest diversity and evenness of longhorn beetles were found in the natural forest (H=1.80, E=0.75) and the lowest of both measures in the Agathis forest (H=0.556, E=0.232). The highest similarity index (0.75) was found between the natural forest and the pine forest. Five of the species found, i.e. Sybra binotata, Sybra fuscotriangularis, Ropica strandi, Acalolepta rusticatrix, and Pterolophia melanura were highly abundant. Two of these, R. strandi and S. fuscotriangularis, as well as 4 other species found, Cleptometopus montanus, Myagrus javanicus, Notomulciber notatus, and Exocentrus artocarpi, are only found in Java. Finding Ropica marmorata was the first such record of this species on the island of Java.

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Wie gross sollen Altholzinseln sein?

Schweizerische Zeitschrift fur Forstwesen ◽

10.3188/szf.2012.0049 ◽

2012 ◽

Vol 163 (2) ◽

pp. 49-56 ◽

Cited By ~ 1

Author(s):

Markus Müller ◽

Thibault Lachat ◽

Rita Bütler

Keyword(s):

Natural Forest ◽

Floodplain Forests ◽

Minimal Size ◽

Forest Types ◽

Beech Forests ◽

Old Growth ◽

Forest Reserves ◽

Saproxylic Species ◽

Ecological Potential

How large should old-growth islands be? About 5% of the Swiss forest surface should be protected as natural forest reserves or as old-growth islands until 2030. This goal, which has been formulated by the Federal Office for the Environment and by the cantons, aims to promote the natural development of the forest and to conserve saproxylic species. Beside large-sized natural forest reserves, smaller old-growth islands may also play an important role. A bootstrapping method has been developed to define the minimal size of old-growth islands based on a field inventory in high forests without logging since at least 30 years. Three different indicators for habitat structures have been used to establish the ecological potential of old-growth islands: the total number of habitat structures, the amount of deadwood and the number of woodpecker trees. The threshold has been defined as the average of each indicator minus the standard error for different forest types. The surface of an island is determined at the point where 75% of the modeled surfaces are above the threshold, which guarantees a certain ecological potential. This surface reaches 0.7 ha for floodplain forests, 0.9 ha for beech and fir-beech forests and 1.2 ha for silver spruce-fir forests. The computed values are minimal rather than optimal surfaces for old-growth islands. With an increase of the surface, sustainability, quantity and quality of the habitats will be improved. Therefore, the size of old-growth islands should be larger whenever the local circumstances are favorable.

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