Approaches to quantifying forest structures

Pommerening, Arne

doi:10.1093/forestry/75.3.305

Cited by 404 publications

(381 citation statements)

References 33 publications

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“…Bilek et al 2011, Gadow, Hui 2007. Pommerening (2002) confirmed the same patterns in the old-growth oak-beech forests, where oaks were surrounded by at least 3 beech individuals.…”

Section: Fig 4: Distribution Of Mingling Index (Dmi) Values (Left) Asupporting

confidence: 69%

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Spatio-temporal structure of natural forest: A structural index approach

Balanda

2012

Beskydy

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Balanda, M. 2012: Spatio-temporal structure of natural forest: A structural index approach. -Beskydy, 5 (2): 163-172The submitted paper deals with the analysis of stand structure of mixed species natural forest located in the Carpathians, Middle Europe. In order to evaluation of structural diversity we chose the combination of distance independent and nearestneighbor indices. Following structural indices were calculated: Shanon-Weaver index (S-W), diameter differentiation index (Td), Gigi coefficient (G), mingling index (DMi) and Clark Evans index (CEd). The permanent research plot with area of 2.5ha was established in National Naure Reserve Hrončecký grúň and subdivided into 25×25m subplots. The combination of mentioned indices was calculated for each subplot separately. Regarding the diameter heterogeneity, the most part of analyzed structures showed the moderate level of tree size differentiation (S-W value 0.393±0.074). The presence of high number of juvenile individuals which already reached the diameter category "above 2cm" did not significantly affect the diameter variation of investigated stand. On the other hand, a massive establishment of subsequent generation led to creation of spatial structure characteristic by high level of vertical differentiation (Gini coefficient 0.47 in the structure characterized as the breakdown with successive generation). High climax species richness was confirmed by calculated values of DMi index (maximum relative presence in the category from 0.3 to 0.4). Each tree was surrounded by two and more different species individuals. Analysis discovers the negative developmental shift in the DMi values towards to less differentiated structures. Regarding the horizontal distribution the analysis of CEd values indicated that investigated natural forest can reveal a random distribution of individuals regardless of developmental stage.

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“…Bilek et al 2011, Gadow, Hui 2007. Pommerening (2002) confirmed the same patterns in the old-growth oak-beech forests, where oaks were surrounded by at least 3 beech individuals.…”

Section: Fig 4: Distribution Of Mingling Index (Dmi) Values (Left) Asupporting

confidence: 69%

“…Spatial structure plays a crucial role in determination of the ecological diversity. The increasing structural heterogeneity, as a rule, is directly linked to a higher number of species as well as it results in a greater static stability (Pommerening 2002).…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal structure of natural forest: A structural index approach

Balanda

2012

Beskydy

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“…The index ranges from 0 to 1, with TD = 0 indicating a lack of differentiation of the measured feature of nearest neighbours and TD = 1 indicating very large differences of the measured feature (Pretzsch 2010;szmyt, ceitel 2011;szmyt 2012). the proportion of pairs of trees of varying DBH can be determined based on the distribution of TD amongst classes of diversity: 0.00-0.30, little variation; 0.30-0.50, average variation; 0.50-0.70, large variation; and 0.70-1.00, very large diversity of features between nearest neighbours (Pommerening 2002).…”

Section: Methodsmentioning

confidence: 99%

“…Forest structure is the result of different natural processes relating to its development, but, simultaneously, the forest structure itself also affects these processes (Spies 1998;Naumann, Starlinger 2001;Pommerening 2002;Pretzsch 2010;Gadow et al 2012). These ecological and biological processes occur in various spatial scales and may also overlap, whilst their intensity varies, depending on the stage of the forest development.…”

Section: Introductionmentioning

confidence: 99%

Structural diversity of selected oak stands (Quercus roburL.) on the Krotoszyn Plateau in Poland

Szmyt

2017

Forest Research Papers

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Abstract. The oak forests growing on the Krotoszyn Plateau are the biggest and most valuable oak forest complexes in Poland. The purpose of this study was to analyze the structural diversity of oak (Q. robur l.) stands older than 140 years. two natural stands located within the forest reserve as well as two managed stands were chosen for investigation. Species and tree size diversity were analyzed using different measures and spatially explicit and inexplicit indices. The results indicate that the structural diversity of the protected oak forests did not differ significantly from that of managed stands. On the contrary, undisturbed natural processes in protected forests can result in a low diversity of some structural attributes in such stands. Although most indices pointed towards a higher structural diversity in protected forests, the differences were not large, especially in the case of spatially explicit indices. The spatial arrangement of live trees was either random, aggregated or regular, with the latter clearly dominating managed, poorly mixed oak stands. Furthermore, a lack of natural disturbances strong hornbeam expansion, in which case strict protection is not favorable for oak sustainability as it creates unsuitable conditions for oak regeneration beneath the hornbeam canopy.

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“…On the other hand, the point-to-plant method proposed by Pielou (1959) requires firstly estimating the tree density. Many other methods can be found in the literature (Nishikawa, 1996;Pommerening, 2002;Liu, 2001) but the mean-of-angles method (Assunção, 1994) is one of the most-practical choices since the sample of angles can be easily obtained in the field and its ability to distinguish between regular and clustered populations or to assign a degree of regularity or clustering is also very straightforward (Trifković and Yamamoto, 2008).…”

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confidence: 99%

Spatial Distribution and Composition of Trees in an Aging Coppice Forest in Japan

Trifkovic

2013

FORMATH

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Abstract:The importance of studying the ecology of coppice forests in Japan has risen recently amid growing demands to reestablish utilization of their tangible resources. The objective of the paper is to assess whether the spatial distribution of trees at an undisturbed agingcoppice follows some common pattern and how its composition changes with time. Coppice forests in Japan usually grow on steep lands and conventionally used forest inventory methods and methods used in ecological studies are time-consuming. Therefore, a rapid sampling approach based on measurements of angles and distances was used to achieve the objectives of this study. The field survey was conducted at coppice stands harvested 48, 60 and 77 years ago. Results suggest that distribution of the trees at aging-coppices shifts toward a regular spatial pattern. However, the process toward this regularity is slow and the distributions of individual trees were still not significantly different from a random pattern. Use of the combined angle-distance methodology is rapid and the data collected can be useful for planning ecologically-friendly management of coppice forests.

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Approaches to quantifying forest structures

Cited by 404 publications

References 33 publications

Spatio-temporal structure of natural forest: A structural index approach

Spatio-temporal structure of natural forest: A structural index approach

Structural diversity of selected oak stands (Quercus roburL.) on the Krotoszyn Plateau in Poland

Spatial Distribution and Composition of Trees in an Aging Coppice Forest in Japan

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