2 edition of new index for describing the structural complexity of forests found in the catalog.
new index for describing the structural complexity of forests
Eric K. Zenner
Written in English
|Statement||by Eric K. Zenner.|
|The Physical Object|
|Pagination||177 leaves, bound :|
|Number of Pages||177|
Article Mapping Tree Density in Forests of the Southwestern USA Using Landsat 8 Data Kamal Humagain 1,*, Carlos Portillo-Quintero 1, Robert D. Cox 1 and James W. Cain III 2 ID 1 Department of Natural Resources Management, Goddard Building, Texas Tech University, Box , Lubbock, TX , USA; [email protected] (C.P.-Q.); @ (R.D.C.)Cited by: 5. of the forest state, these variables do not give information about the structural variety of the forest on a tree to tree basis. The aim of this study is to introduce and discuss a simple index that can be used to measure the dissimilarity in sizes between trees. The index, called the tree size.
Understanding how the physical structure of forest canopies influence light acquisition is a long-standing area of inquiry fundamental to advancing understanding of many areas of the physical sciences, including the modeling and interpretation of biogeochemical cycles. Conventional measures of forest canopy structure employed in earth system models are often limited to leaf area index . The new Structural Complexity Index (SCI) was used to relate the observed structure to residual trees and other structural components such as tree density, tree size variation, species composition, and environmental variables such as aspect, slope, and elevation.
Once upon a time, forest stand structure meant age structure. Areas of forests containing similar-aged trees were called even-aged stands, and areas with trees of multiple ages were considered uneven-aged stands. It was all quite straightforward. Stand structure was defined by how many trees were present in each age class within a given stand. The paper describes the diversity and structural complexity of mangrove forest along Puerto Princesa Bay, Palawan Island, Philippines. Occurrence of 28 mangrove species and 11 floral associates were found, which identifies the entire bay as one of the most diverse mangrove forests in the by: 2.
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A new index, the structural complexity index (SCI), was developed to characterize and compare the structural complexity of different forests. Point patterns of stem-mapped trees were converted into nearest neighbor triangles (with x, y, and z coordinates) by spatial tessellation, where x and y represent horizontal spatial location of points, and z represents a character of the point Cited by: 2.
Enhanced Structural Complexity Index (ESCI) can serve as a valuable tool for forest managers and ecolo- gists for describing the structural complexity of forest stands and is particularly valuable for natural for- ests with a high degree of structural complexity.
A new index, the structural complexity index (SCI), was developed to\ud characterize and compare the structural complexity of different forests. The highest mean values of the stand-structural complexity index were measured in plots that did not show any signs of anthropogenic disturbance, conversely, the lowest mean values of the stand.
Beckschäfer, Philip, Mundhenk, Philip, Kleinn, Christoph, Ji, Yinqiu, Yu, Douglas W and Harrison, Rhett D () Enhanced structural complexity index: an improved index for describing forest structural complexity.
Open Journal of Forestry, 03 (01). ISSN Full text not available from this repository. An index of structural complexity for Apennine beech forests Article (PDF Available) in iForest - Biogeosciences and Forestry September with. Abstract: A broad interest exists in developing structure-based indicators to use as proxies for other attributes that are difficult to assess, such as biological diversity.
Summary variables that account for stand-scale forest structural complexity could facilitate the comparison among stands and provide a means of ranking stands in terms of their potential contribution to Cited by: The most prominent of these indices are discussed in detail and the following guidelines suggested for the development of an index of structural complexity: (1) Start with a comprehensive set of.
velop a stand-scale index of structural he-terogeneity for Apennine beech forests. To identify the suite of attributes to include in this index of structural heterogeneity, we first explicitly defined the main sources of structural complexity commonly reported for beech natural forests in Italy and southern Europe.
We considered old-growth condi. Though structural complexity measures were the strongest predictors of site‐level NPP, a high degree of autocorrelation among canopy structural features and species diversity indices highlights the interrelatedness of canopy traits and species diversity (Appendix S1: Fig.
S3) Canopy structural complexity was greatest in temperate forests with high levels of vegetation area and tree species diversity, with VAI and Shannon's index Cited by: 3.
The Forest Structural Condition Index (SCI) quantifies canopy stature, cover and disturbance history across the humid tropics. The SCI is derived from canopy cover, canopy height, and time since Cited by: 1.
Measures to describe stand structural complexity efficiently and objectively are increasingly demanded to understand the relationship between forest management, stand structure, biodiversity and. Forests that were more structurally complex, had higher vegetation‐area indices, or were more diverse absorbed more light and used light more efficiently to power biomass production, but these relationships were most strongly tied to structural by: 3.
Enhanced Structural Complexity Index: An Improved Index for Describing Forest Structural Complexity. By Philip Beckschäfer, Philip stand density and the differentiation of tree dimensions are among the most important aspects of stand structure.
An increasing complexity of stand structure is often linked to a higher number of species and. Forests10, 85 7 of The term ‘damage heterogeneity index’ or DHI, is introduced as a measure of the diversity of damage categories; it is entirely analogous to typical measures of diversity of by: 2.
The new stand structural complexity index (SSCI) is based on a holistic approach to quantify the spatial arrangement of plant material in forests and proved to be able to differentiate stand by: This Special Issue of Forests is focused on the effect that complex forest structure has on the establishment and growth of tree regeneration.
Research articles should focus on the establishment and/or growth of tree seedlings in response to natural or anthropogenic disturbances that create forests with horizontal and vertical complexity.
They suggested an index of structural complexity based on four attributes, ground vegetation cover (Cited by: We found structural complexity can best be predicted from a combination of measures that relate to the horizontal and vertical, as well as the internal branching pattern of the trees (range of branch angles).
Forest structure is related to several ecosystem services and functions provided by forests. To support a management for structural complexity, which is Cited by: 3.
Several indices estimating structural diversity of forests have been described in the literature. Some focus on spe-cific structural elements such as deadwood (Larsson ) or have been developed to assess specific habitat attributes of different species or species groups (e.g.
‘Structural Complexity Index’ for small mammals (Barnett et by: 4. However, close-range remote sensing techniques are able to describe small-scale structural complexity of forests in increasing detail [4, . TreM inventories and RS techniques are.Despite the critical ecological roles of structural features in forests, ecologically relevant quantitative measures of structure that allow comparisons among forest stands are still limited.
A new index, the structural complexity index (SCI), was developed to characterize and compare the structural complexity of different forests.
Point patterns.Disturbances affect forest structure (Coomes et al., ), and therefore forest dynamics and development (Zenner, ). Simple indices can be used for describing changes in the structural complexity of forests in a concise manner. They can be used as a basis for classifying forest stands into generalized forest structural types (FSTs).Cited by: