Does tree diversity increase wood production in pine forests?

Vilà, Montserrat; Vayreda, Jordi; Gràcia, Carles; Ibáñez, Joan Josep Peraire

doi:10.1007/s00442-003-1182-y

Cited by 135 publications

(87 citation statements)

References 26 publications

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“…Of studies that have been done, most find a positive relationship between diversity and function (Vilà et al 2007, Lei et al 2009, Paquette and Messier 2011, but see Vilà et al 2003), although few extend this relationship explicitly to services (e.g., Schwenk et al 2012, Gamfeldt et al 2013. Among studies that explicitly address C stocks, or storage, there is disagreement as to the nature of the correlation between C and forest biodiversity, with studies reaching different conclusions with respect to both the direction and magnitude of the relationship.…”

Section: Introductionmentioning

confidence: 99%

Functional diversity and management mediate aboveground carbon stocks in small forest fragments

2013

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Citation: Ziter, C., E. M. Bennett, and A. Gonzalez. 2013. Functional diversity and management mediate aboveground carbon stocks in small forest fragments. Ecosphere 4(7):85. http://dx.doi.org/10.1890/ES13-00135.1Abstract. Improved landscape connectivity is increasingly considered a viable management strategy to maintain biodiversity, ecosystem functions, and services. How landscape structure affects biodiversity, ecosystem services, and their relationship, however, is still unclear in many cases, including the service of climate regulation. The effects of forest fragmentation on carbon storage remain largely unknown, compounded by uncertainty in both the direction and magnitude of the relationship between carbon storage and biodiversity. We investigated the effects of forest fragmentation and management on carbon stocks and biodiversity in the Montérégie, QC. We quantified total aboveground carbon stocks in 24 small forest fragments of two sizes (;10 ha, ;100 ha), and two levels of connectivity, using a combination of satellite data, field-based methods, and allometry. We correlated this data with both woody plant species richness and functional dispersion to determine the relationship between biodiversity and carbon stocks in these forest fragments. We found functional dispersion was a significant predictor of aboveground carbon stocks, interacting with forest management and connectivity in this fragmented forest system. Both synergies and tradeoffs between biodiversity and carbon stocks were observed. Unmanaged forest stands stored less carbon on average than managed, but demonstrated a significant positive relationship between functional dispersion and aboveground carbon stocks, corroborating the results of biodiversity-ecosystem function experiments. The slope of the relationship was significantly greater in connected fragments than isolated, suggesting improved forest connectivity may strengthen the relationship between biodiversity and aboveground carbon stocks in this region. Managed stands exhibited a significant negative relationship, demonstrating that anthropogenic influence can alter the link between biodiversity and carbon stocks in natural systems. Our results suggest that considering management, connectivity, and functional diversity may increase accuracy in estimating landscape level carbon stocks. Additionally, the significant contributions of small forest fragments to regional diversity and service provision emphasizes the important role these fragments can play in conservation efforts.

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Section: Introductionmentioning

confidence: 99%

Functional diversity and management mediate aboveground carbon stocks in small forest fragments

2013

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“…Other studies (Vilà et al, 2007) found that the dominant tree species is an important determinant for wood production in Spain. There are several factors that influence the relationships between species diversity and aboveground biomass productivity, such as environment (Hooper et al, 2005;Vilà et al, 2005;Ma et al, 2010;Paquette & Messier, 2011), spatial scale (Chase & Leibold, 2002), plant density (He et al, 2005;Potter & Woodall, 2014), successional status (Caspersen & Pacala, 2001;Vilà et al, 2003), site productivity (Paquette & Messier, 2011;Potter & Woodall, 2014), soil fertility (Rodríguez-Loinaz et al, 2008;Thoms et al, 2010), evolutionary history and latitude , and seed dispersal limitation .…”

Section: Discussionmentioning

confidence: 99%

Linking hypothesized causal factors to aboveground biomass growth in forests of Alabama and the eastern United States

Ojha

Dimov

2018

For. syst.

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Aim of study: We analyzed the hypothesized causal effects of relative density, density, height, species richness, species diversity, temperature, precipitation, and slope on above ground biomass growth (AGBG).Area of study: Eastern region of the USA. Materials and methods:We used the USDA Forest Service's Forest Inventory and Analysis (FIA) database. A total of 2554 plots from all stand ages, regardless of disturbance history, were selected from the state of Alabama and 967 plots of stand age under 30 years and no prior disturbance were selected from the eastern US. We analyzed the data using descriptive statistics and structural equation modeling.Main results: Relative stand density exhibited a strong positive direct effect on AGBG, especially in the young forests (path coefficient 0.79), but a weaker indirect effect through species richness/diversity. Tree height influenced positively AGBG directly and indirectly through relative density and species richness. The effect of temperature and slope was greater than the effect of species richness/diversity on AGBG in the young forests of the eastern US.Research highlights: For the forests of the eastern US, greater tree species diversity did not appear to result in neither greater nor lower productivity. The diversity-productivity relationship was negative in forests of Alabama, however, where prior management likely resulted in removal of select dominant trees from valuable species (i.e., high-grading).Additional keywords: FIA; productivity; path analysis; relative stand density; species richness; Shannon's diversity index; temperature.Abbreviations used: AGB (above ground biomass); AGBG (above ground biomass growth); CCR (compacted crown ratio); DBH (diameter at breast height); IVP (importance value percent); FIA (Forest Inventory and Analysis); SDI (stand density index); SEM (structural equation modeling).Authors´ contributions: LDD and SKO conceived and designed the research. Both authors read and approved the final manuscript. SKO acquired national forest inventory data from the USDA, Forest Service, Forest Inventory and Analysis (FIA), Knoxville Tennessee for the study. SKO extracted climatic variables from spatial data sources; he conducted statistical analysis and made figures and tables and prepared the first draft of the manuscript. LDD contributed to all parts and drafts of the manuscript.Data acquisition and accuracy of analysis: The national forest inventory dataset was obtained with the help of the USDA Forest Service, Forest Inventory and Analysis (FIA) personnel. FIA data is publicly available at FIA DataMart (https://apps.fs.usda.gov/fia/ datamart/CSV/datamart_csv.html).

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“…Furthermore, Vennetier et al (2008) proved that P. halepensis was well adapted to the studied climatic zones and the obtained signif icant differences were supporting studies carried out in Tunisia (Khouja et al, 2000), Algeria (Harfouche et al, 2003;Bentouati and Bariteau, 2005) and Morocco (Belghazi et al 2000). Finally, the complexity of climatic influences on pine tree density resides in the structural and spatial distribution of pine trees (Vilà et al, 2003;Condés and Sterba 2008). It would be necessary to perform a general study on climate change and its impacts on natural forests in order to develop and apply silvicultural management tools adapted to the new scenarios and problems (Sabate et al, 2002), focusing on new objectives in sustainable forest management.…”

Section: Discussionmentioning

confidence: 99%

Alternative sampling methods to estimate structure

Ayari

Moya²,

Rejeb

et al. 2011

For. syst.

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Aleppo pine had a large forest cover in North Africa and along the Mediterranean basin which management is not fully developed and new forest tools are required. In this research, the forest structure, epidometric characteristics and allometric relationships were studied in 79 plots covering four bioclimatic zones from natural even aged forests of Aleppo pine located between eastern Algeria to the western coastal part of Tunisia. To characterize the forest structure three sampling methods were carried out: classical inventories (recording all pine trees), and two simplified approach using one average size or five dominant pine tree per plot. Annual growth increment and cone production were only calculated for the average size tree. Furthermore, the analysis of variance showed non-significant differences recorded between bioclimatic zones in trunk or crown diameter using the two simplified approach. Moreover, a significant decrease from wetter to drier areas in total height, crown height, cone seed production was observed only for average size tree method. However, the analysis of covariance showed significant differences between both approaches in total height, trunk diameter and crown coverage which were largely influenced by the pine tree density. In future investigations, we confirmed previous research that the dominant tree is a good sampling method to examine the site fertility, whereas the average size tree constitutes a valuable approach to study the population growth and reproduction.Key words: Pinus halepensis Mill.; bioclimatic zones; forest structure; sampling approach; increment; reproductive characteristics. ResumenMétodos alternativos de muestreo para estimar la estructura y caracteres reproductivos de bosques de pino carrasco en Túnez El pino carrasco muestra una gran cobertura forestal, tanto en el norte de África como en toda la Cuenca Mediterránea, cuyo manejo no está totalmente desarrollado lo que requiere nuevas herramientas de manejo. En esta investigación, se estudiaron la estructura forestal, las características epidométricas y las relaciones alométricas de 79 parcelas distribuidas a lo largo de cuatro zonas bioclimáticas en bosques regulares de pino carrasco situados entre el este de Argelia y la costa este de Túnez. Para caracterizar la estructura forestal se aplicaron tres métodos de muestreo: inventario clásico (midiendo todos los pies) y dos propuestas más sencillas, usando un árbol medio o cinco pies dominantes por parcela. El análisis de varianza no mostraba diferencias significativas de las mediciones de diámetro de tronco y de copa realizadas entre las distintas zonas bioclimáticas usando ambos métodos. Por otra parte, se observó una disminución significativa de las zonas más húmedas a las más secas en altura toral, altura de copa y producción de semillas fue observada aplicando el método de árbol medio. Además, el análisis de covarianzas mostraba diferencias significativas, usando ambas metodologías, en los valores medios de altura total, diámetro de tronco y cobertura de...

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Does tree diversity increase wood production in pine forests?

Cited by 135 publications

References 26 publications

Functional diversity and management mediate aboveground carbon stocks in small forest fragments

Functional diversity and management mediate aboveground carbon stocks in small forest fragments

Linking hypothesized causal factors to aboveground biomass growth in forests of Alabama and the eastern United States

Alternative sampling methods to estimate structure

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