Predicting constant decay rates of coarse woody debris—A meta-analysis approach with a mixed model

Zell, Jürgen; Kändler, Gerald; Hanewinkel, Marc

doi:10.1016/j.ecolmodel.2009.01.020

Cited by 92 publications

(91 citation statements)

References 39 publications

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“…These factors form the basis for most predictive forest wood decay models (Müller-Using and Bartsch 2009; Radtke et al 2009;Yin 1999;Zell et al 2009). These large-scale models do not account for the variation in wood decay rates at smaller temporal and spatial scales (Onega and Eickmeier 1991;Palviainen et al 2010;Van der Wal et al 2007;Woodall 2010).…”

Section: Future Samplingmentioning

confidence: 99%

Controls on Coarse Wood Decay in Temperate Tree Species: Birth of the LOGLIFE Experiment

Cornelissen¹,

Sass‐Klaassen

Poorter

et al. 2012

AMBIO

121

150

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Dead wood provides a huge terrestrial carbon stock and a habitat to wide-ranging organisms during its decay. Our brief review highlights that, in order to understand environmental change impacts on these functions, we need to quantify the contributions of different interacting biotic and abiotic drivers to wood decomposition. LOG-LIFE is a new long-term 'common-garden' experiment to disentangle the effects of species' wood traits and siterelated environmental drivers on wood decomposition dynamics and its associated diversity of microbial and invertebrate communities. This experiment is firmly rooted in pioneering experiments under the directorship of Terry Callaghan at Abisko Research Station, Sweden. LOGLIFE features two contrasting forest sites in the Netherlands, each hosting a similar set of coarse logs and branches of 10 tree species. LOGLIFE welcomes other researchers to test further questions concerning coarse wood decay that will also help to optimise forest management in view of carbon sequestration and biodiversity conservation.

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Section: Future Samplingmentioning

confidence: 99%

Controls on Coarse Wood Decay in Temperate Tree Species: Birth of the LOGLIFE Experiment

Cornelissen¹,

Sass‐Klaassen

Poorter

et al. 2012

AMBIO

121

150

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“…Nevertheless, further determinants of the amount of deadwood that could be found in a forest are: (i) climate, especially temperature, that was reported as the main driver of deadwood decay rates in a global analysis (Mackensen et al 2003); (ii) tree species composition, since wood decomposition rates are species-specific and strongly depend on species traits (Cornwell et al 2009, Zell et al 2009). Therefore a thorough knowledge of the vegetation composition and its relations to climate would effectively integrate quantitative analysis on deadwood.…”

Section: Deadwoodmentioning

confidence: 99%

The role of plant sociology in the study and management of European forest ecosystems

Blasi¹,

Burrascano²

2013

iForest

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Forest composition is a faithful indicator of the stressors and disturbances that influence forest ecosystems, and it should be accounted for in Sustainable Forest Management policies. Indeed, the classification of forest ecosystems in forest types is considered as a key tool to improve the assessment and monitoring of forest biological diversity, and for the definition of management guidelines. Accordingly, the Ministerial Conference on the Protection of Forests in Europe has recognized the need of developing a pan-European forest classification in forest types, and has identified indicators of Sustainable Forest Management that should be applied by forest types. The classification of vegetation has always been among the main aims of the plant sociology. The quantitative and qualitative analysis of plant species composition, performed through the plant sociological approach, condenses compositional and structural information within a hierarchical system, and expresses all historical, sociological and habitat factors that influence the actual and potential vegetation. In a modern perspective the integration of plant sociology and ecological analysis represents a key to a hierarchical land classification and to the understanding of vegetation dynamics; furthermore the long history of plant sociology determined the availability of large datasets of vegetation data throughout Europe. Starting from these considerations, in this paper we briefly describe how plant sociology could represent a tool for the assessment of the indicators of SFM that should be applied by forest types, giving insights on how this discipline could contribute to the assessment of each of these indicators

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“…7A, E, F) and OI are asymptotic. It is recognized that quantity and quality (e.g., piece size) of deadwood is directly affected by climate through its influence on decomposition rates (Zell et al 2009). Moisture and temperature regimes of the substrate greatly influence decomposition rate (Dunn and Bailey 2012) with decomposition rates expected to increase with greater moisture availability and decrease at low temperatures (Harmon et al 1986).…”

Section: Influence Of Environmental Factorsmentioning

confidence: 99%

Environmental drivers of deadwood dynamics in woodlands and forests

et al. 2015

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Abstract. Deadwood dynamics play a key role in many forest ecosystems. Understanding the mechanisms involved in the accumulation and depletion of deadwood can enhance our understanding of fundamental processes such as carbon sequestration and disturbance regimes, allowing better predictions of future changes related to alternative management and climate scenarios. A conceptual framework for deadwood dynamics has been generally accepted but has not been broadly tested with empirical data. We used a large (n ¼ 6191) data set containing measurements of live and standing dead trees, and downed woody material, representing numerous woodland and forest types from throughout the Interior Western USA, to assess relationships between environmental factors and basic elements of forest structure, with particular focus on the various components of deadwood (i.e., fine woody debris, litter, duff and large deadwood, both standing and downed). Environmental gradients emerged as the most influential factors determining structure and deadwood dynamics of these diverse vegetation types. We found that dead components are approximately proportional to the live component and that all of the various components of structure can be ordered as a function of climatic gradients representing temperature and moisture. The postulate that maximum accumulation of biomass is associated with intermediate values of temperature and moisture was only partially supported by our results, indicating that conceptualizations of deadwood dynamics must be considered in the context of the particular disturbance regimes (e.g., fire, insect outbreaks, wind) most commonly associated with particular woodland and forest types. These findings are relevant to a wide range of applications, from ecosystem modeling to development of resource management plans under alternative future climates.

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Predicting constant decay rates of coarse woody debris—A meta-analysis approach with a mixed model

Cited by 92 publications

References 39 publications

Controls on Coarse Wood Decay in Temperate Tree Species: Birth of the LOGLIFE Experiment

Controls on Coarse Wood Decay in Temperate Tree Species: Birth of the LOGLIFE Experiment

The role of plant sociology in the study and management of European forest ecosystems

Environmental drivers of deadwood dynamics in woodlands and forests

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