The structural complexity index SCI is useful for quantifying structural diversity of Estonian hemiboreal forests

Põldveer, Eneli; Potapov, Aleksei; Korjus, Henn; Kiviste, Andres; Stanturf, John A.; Arumäe, Tauri; Kangur, Ahto; Laarmann, Diana

doi:10.1016/j.foreco.2021.119093

Cited by 13 publications

(11 citation statements)

References 34 publications

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“…Structural complexity index (SCI) is a key factor in ecology, often positively linked to biodiversity and the carrying capacity of habitats [24,25]. Our results clearly show that certain forest attributes, especially species richness of arbor, shrub and herb, species number of shrub and thw proportion of broadleaf tree species, had, on average, positive effects on SCI.…”

Section: Link Between Stand Structural Attributes and Forest Servicesmentioning

confidence: 75%

“…The three determined objective services-habitat conservation, timber production and soil water conservation-were assessed in a comparative way by stand type, using a set of service indicators. Structural complexity index (SCI) is a key factor in ecology, often positively linked to biodiversity and the carrying capacity of habitats [24,25]. It was selected as the evaluating indicator of habitat conservation in this study.…”

Section: Assessment Of Forest Services Based On Service Indicatorsmentioning

confidence: 99%

“…Structural Complexity Index: the structural complexity index was calculated by means of average on the basis of the leading variables that were indicated to be important for habitat diversity according to the results of PCA [25].…”

Section: Assessment Of Forest Services Based On Service Indicatorsmentioning

confidence: 99%

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Evaluation of Multiple Forest Service Based on the Integration of Stand Structural Attributes in Mixed Oak Forests

Guan

Liu

2022

Sustainability

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In order to understand forest services at stand level through the integration of structural attributes, forest structures in three main stand types were analyzed based on various structural attributes relating to the services of habitat conservation, timber production and soil water conservation in Loess Plateau, China. Forty sample plots with similar site and environment conditions were established in three types of oak stands. Twenty-two indexes such as stand density, mean DBH, mean height, etc., were selected to analyze the relationship between structural attributes and forest service. With a core set of structural attributes selected by principal component analysis, the link between the service and structural attributes and the compatibility between each service was analyzed using correlation analysis. The results show that the oak–broadleaf mixed forest has the highest structural complexity index (SCI), indicating the best habitat conservation among others, while the oak–pine mixed forest and pure oak forest have the highest timber value in different scenarios of timber price, indicating the largest potential for timber production. Little differences were found between stand types regarding the indicators for soil water conservation. The structural attributes that had a positive correlation with habitat conservation (e.g., number of shrub species, species richness of canopy layer, the proportion of broadleaves and snag density) were identified to be negative for timber production; while the attributes that had a positive correlation with timber production (e.g., stand density and proportion of pine and oaks) were found to be negative for habitat conservation. The results of the trade-off analysis showed that timber production tends to be conflicting with the other two non-timber forest services. In order to enhance the provisioning of multiple services, it was suggested to implement the interventions that could balance these services, such as structural retention and single-tree selective logging. This study could contribute to the theoretical base for the decision making in the multi-purpose sustainable management of oak forests in China.

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Section: Link Between Stand Structural Attributes and Forest Servicesmentioning

confidence: 75%

Section: Assessment Of Forest Services Based On Service Indicatorsmentioning

confidence: 99%

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Evaluation of Multiple Forest Service Based on the Integration of Stand Structural Attributes in Mixed Oak Forests

Guan

Liu

2022

Sustainability

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“…Puistu struktuuri terviklikuks kirjeldamiseks ja ruumilise olemuse arvestamiseks oleks tarvis kasutada meetodeid, mis iseloomustavad puistut tervikuna (Zenner & Hibbs, 2000). Selles artiklis tutvustame kahte uuringut, mis on publitseeritud osana doktoritööst (Põldveer, 2022) ning mille käigus antakse puistu ruumilisele struktuurile erinevate indeksite abil arvulisi hinnanguiderineva looduslikkuse tasemega puistute struktuuri uuring (Põldveer et al, 2020) ja puistu struktuuri mitmekesisuse uuring (Põldveer et al, 2021).…”

Section: Sissejuhatusunclassified

“…Puistu struktuuri mitmekesisuse uuring (Põldveer et al, 2021) põhineb 852 püsiproovitükil, mis jaotati vastavalt kehtivale majandusrežiimile kolme gruppi: kaitsealused metsad, majandatavad metsad ning väga tugevate inimmõjudega karjäärimetsad, mis asuvad endises Aidu põlevkivikarjääri taasmetsastatud aladel. Igale proovitükile arvutati puistu struktuuri mitmekesisuse indeks SCI (tabel 1), mis põhineb puu asukohal ja puu suurusel puistus ning võimaldab muuhulgas hinnata metsamajandamise otsest mõju puistu struktuuri mitmekesisusele ja analüüsida, kuidas struktuuri mitmekesisus muutub sõltuvalt metsamajandamise režiimist ja kasvukohast.…”

Section: Materjal Ja Metoodikaunclassified

Puistu ruumilise struktuuri arvutuslik kirjeldamine

2022

Self Cite

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As the focus in forestry is moving from timber production to prioritized economic benefits and better integration of ecological-social functions, practical forest management is shifting towards promoting diverse stand structures. Promoting stand structural heterogeneity requires accurate and profound evaluations of spatial stand structure that are generally not provided during conventional forest inventories. In this paper, different indices describing the heterogeneity of the stand and the spatial arrangement of trees, including their size, condition and species were assessed. Indices were applied to the inventory data collected from the Estonian Network of Forest Research Plots. The results show that the studied structural indices are useful in assessment of Estonian forest stands. The practical importance of structural indices will increase in future as there will be a need for methods for characterizing forest stand structural diversity at a large scale, for example, derived from high-resolution remote sensing data.

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