Sustaining Oak Forests in Eastern North America: Regeneration and Recruitment, the Pillars of Sustainability

Dey, Daniel C.

doi:10.5849/forsci.13-114

Cited by 158 publications

(111 citation statements)

References 127 publications

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“…With respect to deciduous forests in North America, oak-dominated ecosystems are an important resource within the broad landscape, and concerns regarding the sustainability of the resource, prompted in part by the exclusion of fire and the employment of disturbance processes that promote the development of other tree species, have been noted [35]. Silviculture decisions associated with uneven-aged deciduous forest regeneration in the southern United States can be complex and can be influenced by the level of residual basal area desired, the type of residual structure desired and the composition of residual tree species desired [36].…”

Section: Discussionmentioning

confidence: 99%

Tree-Level Harvest Optimization for Structure-Based Forest Management Based on the Species Mingling Index

Bettinger

Mengping

2015

Forests

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Abstract:This novel research investigated the use of a heuristic process to inform tree-level harvest decisions guided by the need to maximize the interspersion of tree species across a forest. In the heuristic process, a species mingling value for each tree was computed using both (1) neighbors that were simply of a different species than the reference tree and (2) neighbors that were uniquely different species from both the reference tree and other neighbors of the reference tree. The tree-level species mingling value was averaged for the stand, which was then subject to a maximization process. Constraints included residual tree density levels and minimum tree volume harvest levels. In two case studies, results suggest that the species mingling index at the stand level can be significantly increased over randomly allocated harvest decisions using the heuristic process described. In the case studies, we illustrate how this type of process can inform management decisions by suggesting the distance between residual trees of similar species given the initial stand structure and the objectives and constraints. The work represents a unique tree-level optimization approach that one day may be of value as new technologies are developed to map the location of individual trees in a timely and efficient manner. OPEN ACCESSForests 2015, 6 1122

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Section: Discussionmentioning

confidence: 99%

Tree-Level Harvest Optimization for Structure-Based Forest Management Based on the Species Mingling Index

Bettinger

Mengping

2015

Forests

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“…The absence of such disturbance, in addition to an increase in deer browse, has allowed shade-tolerant and moderate moisture requiring species to outcompete understory oaks. Ultimately, the long-term future of oak-dominated forests will depend on management strategies that establish oak seedlings and foster development of saplings (Abrams 1992, Dey 2014). …”

Section: What This Meansmentioning

confidence: 99%

Illinois Forests 2015

Crocker¹,

Butler²,

Kurtz³

et al. 2017

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The third full annual inventory of Illinois' forests reports more than 4.9 million acres of forest land and 99 tree species. Forest land is dominated by oak/hickory and elm/ash/cottonwood forest types, which make up 92 percent of total forest area. The volume of growing stock on timberland has been rising since 1948 and currently totals 7.0 billion cubic feet. Average annual net growth of growing stock from 2010 to 2015 was about 146.1 million cubic feet per year. This report includes additional information on forest attributes, land-use change, carbon, timber products, and forest health. The following information is available online at https://doi.org/10.2737/NRS-RB-113: 1) detailed information on forest inventory methods, statistics, and quality assurance of data collection; 2) tables that summarize quality assurance; 3) a core set of tabular estimates for a variety of forest resources; and 4) a Microsoft® Access database that represents an archive of data used in this report, with tools that allow users to produce customized estimates. AcknowledgmentsThe authors would like to thank the many individuals who contributed to both the inventory and the analysis of Illinois' forest resources. Primary field crew and quality assurance staff over the [2010][2011][2012][2013][2014][2015]

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“…This classification is useful in the implementation of the various silvicultural treatments (SMITH et al 1997, RENTCH et al 2009, DEY, 2014 as well as in the understanding of stands structures and development patterns. Adesoye (2014) reported that the usage of canopy layers (crown classes) improved volume predictions in pure stands of Pinus caribaea Moleret in South West Nigeria.…”

Section: Introductionmentioning

confidence: 99%

Does Crown Class Classification Improve the Initiation and Development Analysis of Post-Fire Pinus Brutia Stands?

Bountis

Milios

2017

CERNE

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The present study was conducted in Pinus brutia Ten. stands which were created after the forest fire of 1989, in the island of Thassos. In 2008, 45 plots of 5 x 5 m were randomly established in three site types. In each plot, the trees were counted, while the breast height diameter of trees was measured. All trees were classified as dominant, codominant, intermediate or suppressed. In each plot, one tree from each crown class was selected (a total of 160 trees) and were cut down. From each tree a cross-sectional disc was cut from the ground level and the number of annual growth rings was counted. A few years of age difference between trees in post fire establishment determined the crown class of a tree. The age difference and the number of trees were reduced from the less productive site type to the more productive site type. Codominant trees were (or will become) the crown class with the most numerous trees in the main canopy. Dominant trees were one of the most, if not the most, significant elements of stand structure and production regarding basal area. This was not the case in low productivity site type as a result of delayed dimension differentiation. Analysis of young P. brutia stands, through the classification of trees into crown classes, increased the amount of attained information, since it provided an improved insight in the competition regime. A CLASSIFICAÇÃO DA CLASSE DE COPA MELHORA A ANÁLISE DA INICIAÇÃO E DESENVOLVIMENTO DE TALHÕES DE PINUS BRUTIA APÓS OCORRENCIA DE FOGO?RESUMO: O presente estudo foi conduzido em talhões de Pinus brutia Ten. que foram criados após o incêndio florestal de 1989, na ilha de Thassos. Em 2008, 45 parcelas de 5 x 5 m foram estabelecidas aleatoriamente em três tipos de sítos. Em cada parcela, as árvores foram contadas e o diâmetro a altura do peito das árvores foi medido. Todas as árvores foram classificadas como dominantes, codominantes, intermediárias ou suprimidas. Em cada parcela, uma árvore de cada classe de copa foi selecionada (um total de 160 árvores) e cortada. De cada árvore foi cortado um disco transversal no nível do solo e contado o número de anéis de crescimento. Uma diferença de alguns anos de idade entre as árvores após o estabelecimento pós-fogo determinou a classe de copa da árvore. A diferença de idade e o número de árvores foram reduzidos do sítio menos produtivo para o mais produtivo. As árvores codominantes foram (ou se tornarão) a classe de copa com mais árvores no dossel principal. As árvores dominantes foram um dos elementos mais significativos, se não o mais significativo, da estrutura e produção do talhão em relação à área basal. Este não foi o caso no sítio de baixa produtividade devido ao atrazo da diferenciação do tamanho das árvores. A análise dos povoamentos jovens de P. brutia, através da classificação das árvores em classes de copa, aumentou a quantidade de informação obtida, uma vez que proporcionou uma melhor percepção do regime de competição.

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Sustaining Oak Forests in Eastern North America: Regeneration and Recruitment, the Pillars of Sustainability

Cited by 158 publications

References 127 publications

Tree-Level Harvest Optimization for Structure-Based Forest Management Based on the Species Mingling Index

Tree-Level Harvest Optimization for Structure-Based Forest Management Based on the Species Mingling Index

Illinois Forests 2015

Does Crown Class Classification Improve the Initiation and Development Analysis of Post-Fire Pinus Brutia Stands?

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