Spatial patterns in different forest development stages of an intact old-growth Oriental beech forest in the Caspian region of Iran

Akhavan, R; Sagheb-Talebi, Khosro; Zenner, Eric K.; Safavimanesh, Farzaneh

doi:10.1007/s10342-012-0603-z

Cited by 39 publications

(43 citation statements)

References 46 publications

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“…As such, identification or detection of significant point patterns depends on the sampling-area size (as a scale subject). In our study, we used a plot surface area of one hectare, considered adequate to reveal the scale, extent, and dynamics of dead-tree patterns and allow the testing of potential hypotheses related to Caspian beech stand dynamics [21]. However, it should be noted that a higher number of mapped living and dead trees, within a vaster sampling area, would render more robust support for our conclusion [11].…”

Section: Discussionmentioning

confidence: 98%

“…Nevertheless, investigating these dynamics is difficult because temperate hardwood forest succession can span centuries, making data collection unrealistic [15]. Both the spatial pattern and amount of dead wood changed among our study plots, suggesting the presence of contrasting stand-development stages [21]. Many spatial statistical methods have been developed to quantify and model forest-stand dynamics, such as investigating tree mortality over succession by comparing the spatial patterns of dominant tree species in subsequent stages of a chronosequence [30][31][32].…”

Section: Discussionmentioning

confidence: 99%

“…No silvicultural practice has been applied in this reserve area [21]. We performed an extensive field survey to select natural Caspian beech stands belonging to contrasting developmental stages.…”

Section: Study Site and Field Samplingmentioning

confidence: 99%

“…In Caspian beech forests, in the absence of major disturbances such as fire, windthrow often opens gaps in the canopy where regeneration can proceed [20]. Thereafter, density-dependent competition drives species turnover as well as succession and is responsible for shaping the stand-level structure [21]. Therefore, understanding spatial distribution and the volume of dead wood in unmanaged Caspian beech forests provides a basis for characterizing forest structure and succession [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

“…Remnants of temperate Caspian beech forests (Fagus orientalis Lispsky) provide a view of forest-ecosystem not influenced by humans, offering a better understanding of tree-mortality patterns within natural forest dynamics [20,21]. In Caspian beech forests, in the absence of major disturbances such as fire, windthrow often opens gaps in the canopy where regeneration can proceed [20].…”

Section: Introductionmentioning

confidence: 99%

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Spatial Distribution and Volume of Dead Wood in Unmanaged Caspian Beech (Fagus orientalis) Forests from Northern Iran

Amanzadeh¹,

Sagheb-Talebi²,

Foumani³

et al. 2013

Forests

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Unmanaged forests are remnants of natural ecosystems that provide a basis for close-to-nature silvicultural research and applications. These forests have high amounts of dead wood, and although this material is being increasingly studied, the diversity of dead wood in terms of different diameters, decay stages, and spatial distribution patterns is as important as its volume for understanding forest dynamics. Here, we study natural forests in northern Iran to investigate the spatial distribution, decay stages, and volume of dead wood in unmanaged temperate forests at different developmental stages. Three stem-mapped sampling plots (100 m × 100 m) were established in uneven-aged stands dominated by Caspian beech (Fagus orientalis Lispsky). The total dead wood ranged from 37 to 119 m 2 ha −1 . Our results imply a spatial distribution shift from aggregation to OPEN ACCESSForests 2013, 4 752 randomness for dead trees in Caspian beech forest succession. We detected significant spatial interactions (attraction) between living and dead trees at short to medium spatial scales (1-20 m) in the plot with the earlier successional stage, suggesting that intra-specific competition is a prevailing force causing tree mortality at the stem-exclusion phase. By contrast, as trees become dominant with the mortality of other trees, the random tree-mortality pattern prevails. The spatial distribution and volume of dead wood may serve as a management target in near-to-natural Caspian beech forest. On the basis of our results, conservation-oriented management strategies should take into account the increasing amount of dead wood, particularly of large diameter in a late stage of decay.

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Section: Discussionmentioning

confidence: 98%

Section: Discussionmentioning

confidence: 99%

Section: Study Site and Field Samplingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Spatial Distribution and Volume of Dead Wood in Unmanaged Caspian Beech (Fagus orientalis) Forests from Northern Iran

Amanzadeh¹,

Sagheb-Talebi²,

Foumani³

et al. 2013

Forests

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Seeing the data for the trees: Assessing the data maturity and readiness of a UK forestry company

Martí‐Rosselló,

Duncan,

Bowditch

2023

Bus Strat Env

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A large UK forestry company has been used as the case study to assess the organisational aspects that hinder forestry organisations from reaching data maturity and becoming data driven. This study focuses on the organisational aspects of dealing with data, as they are often disregarded in favour of dealing only with the technical aspects. The barriers to reaching data maturity have been assessed by means of an online survey distributed across the company. Additionally, the study explores how willing the company is to make changes towards becoming more data driven, assess the data capabilities of the company, identify which benefits of harnessing data are viewed more positively and to estimate the data maturity level of the organisation. The results showed that the company case study was in the early‐mid stages of data maturity with significant opportunity for improvement. The main barriers identified were cultural, along with some other organisational barriers related to data roles and data strategy. Improving the data maturity of the organisation case study consisted of increasing data‐skills, prioritising data‐driven decision making at management level and finally elaborating an organisation‐wide data strategy.

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Species-specific spatial structure, species coexistence and mortality pattern in natural, uneven-aged Scots pine (Pinus sylvestris L.)-dominated forest

Szmyt

Tarasiuk

2017

Eur J Forest Res

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alder and common birch, the initial aggregated pattern was maintained over the examined 14-year period of the forest succession. Bivariate analysis showed that the most common interspecific association between pairs of tree species was spatial segregation (pine vs. alder, alder vs. birch and oak vs. birch) followed by spatial independence (pine vs. oak and oak vs. alder). The positive association was stated only for pine and birch and only for certain spatial scales (> 5 m). Simultaneously, at small distances they showed reciprocal repulsion. Changes in spatial relationships between tree species were negligible over 14-year period of forest succession. Our results confirmed the density-dependent mortality process in the uneven-aged Scots pine-dominated forest over 14-year period of forest development. Our study showed that spatial interactions between individuals along with speciesspecific ecological requirements should be incorporated into realistic models of forest development, helping to manage the forest ecosystems toward their greater structural complexity.

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Spatial patterns in different forest development stages of an intact old-growth Oriental beech forest in the Caspian region of Iran

Cited by 39 publications

References 46 publications

Spatial Distribution and Volume of Dead Wood in Unmanaged Caspian Beech (Fagus orientalis) Forests from Northern Iran

Spatial Distribution and Volume of Dead Wood in Unmanaged Caspian Beech (Fagus orientalis) Forests from Northern Iran

Seeing the data for the trees: Assessing the data maturity and readiness of a UK forestry company

Species-specific spatial structure, species coexistence and mortality pattern in natural, uneven-aged Scots pine (Pinus sylvestris L.)-dominated forest

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