Relationship between biomass and percentage cover in understorey vegetation of boreal coniferous forests

Muukkonen, Petteri; Mäkipää, Raisa; Laiho, Raija; Minkkinen, Kari; Vasander, Harri; Finér, Leena

doi:10.14214/sf.340

Cited by 83 publications

(74 citation statements)

References 31 publications

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“…66 (2009) 307 hand, biomass of herbaceous species and mosses were often estimated using regressions with ecological cover notations (Alaback, 1986;Andariese and Covington, 1986;Muukkonen et al, 2006;Yarie and Mead, 1988). We combined both approaches using vegetation cover notations and species-specific heights; our aim at testing such a method was to establish accurate biomass models that also presented the convenient advantage of permitting quicker field sampling than individual biomass measurements.…”

Section: Discussionmentioning

confidence: 99%

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Using cover measurements to estimate aboveground understorey biomass in Maritime pine stands

Porté¹,

Samalens

Dulhoste

et al. 2009

Ann. For. Sci.

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Abstract• Understorey plays a major role in forest fluxes and stocks balances, however this compartment is generally poorly quantified. Our objectives were to establish models to estimate understorey biomass using vegetation cover measurements and to investigate upscaling methodologies from stand to regional level.• Understorey aboveground biomass measurements were undertaken in Maritime pine stands of mesohygric, mesic and dry moorlands in South West France.• Average biomass stock in this compartment was estimated to 3.50 t DM ha −1 . The more abundant species groups varied with moorland types, with a higher relative contribution of herbaceous species (23.3%), bracken (59.2%) and mosses (31.6%) for mesohygric, mesic and dry moorlands, respectively. For each species group, we established significant relationships to estimate biomass using a volumetric index, based on cover and height measurements. No relationship between stand characteristics and understorey biomass was founded. We investigated the upscaling of these estimations to a several thousands hectare area using understorey cover measurements done along a regular spatial grid. The only significant correlation linked one satellite vegetation index to understorey biomass.• We successfully developed empirical relationships to estimate the understorey biomass at the stand level. Further investigations could focus on the analysis of understorey variability over a finer space grid and the potential use of satellite vegetation indexes. Mots-clés :biomasse / sous-bois / modèle allométrique / Pinus pinaster / changement d'échelle Résumé -Estimation de la biomasse aérienne du sous-bois de peuplements de pin maritime à l'aide de mesures de recouvrement.• Le sous-bois est un compartiment non négligeable dans les études de stocks et de flux des forêts ; cependant il est encore mal quantifié. Les objectifs de notre étude étaient d'établir des relations permettant d'estimer la biomasse du sous-bois de peuplements et d'analyser les possibilités d'extrapolation à l'échelle du massif.• Des mesures de biomasse aérienne de sous-bois ont été réalisées sur une série de peuplements de pin maritime en Landes mésohygrophile, mésophile et sèche dans le Sud-Ouest de la France.• Nous avons estimé le stock moyen de biomasse dans ce compartiment à 3.50 t MS ha −1 . Le groupe d'espèces le plus abondant diffère selon le type de landes : herbacées (23.3 %), fougères (59.2 %) et mousses (31.6 %) en landes mésohygrophile, mésophile et sèche, respectivement. Pour chaque groupe d'espèces, des relations significatives ont été mises en évidence entre un indice volumique et la biomasse de sous-bois. Aucune relation n'a été mise en évidence entre les caractéristiques du peuplement et la biomasse du sous-bois. Nous avons envisagé le calcul à l'échelle d'une zone atelier de plusieurs milliers d'hectares en utilisant une grille spatialisée de relevés de recouvrements. Seul un indice satellite de végétation a présenté une corrélation positive avec la biomasse du sous-bois.• Les relations que nous a...

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Section: Discussionmentioning

confidence: 99%

“…Understorey biomass was linked to stand characteristics such as canopy cover (Ford and Newbould, 1977;Muukkonen et al, 2006;Pieper, 1990;Pyke and Zamora, 1982). In maritime Pine stands, cover didn't vary along a large range of values impeding such a clear relationship.…”

Section: Discussionmentioning

confidence: 99%

Using cover measurements to estimate aboveground understorey biomass in Maritime pine stands

Porté¹,

Samalens

Dulhoste

et al. 2009

Ann. For. Sci.

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“…Furthermore, this approach cannot be used in protected areas and is not repeatable on the same plot, making such methods unfeasible for biomonitoring and permanent plot studies. Non-destructive estimation methods that use relationships between biomass and vegetation cover have been devised for several vegetation types (Siccama et al 1970;Röttgermann et al 2000;Muukkonen et al 2006), but do not regard nutrient pools. Thus, intensive monitoring programs such as the European Level-II-network (Schulze et al 2000;De Vries et al 2003;Seidling 2005) have so far considered understorey vegetation only in terms of its indicator quality and contribution to forest biodiversity.…”

Section: Introductionmentioning

confidence: 99%

The estimation of aboveground biomass and nutrient pools of understorey plants in closed Norway spruce forests and on clearcuts

2010

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The estimation model PhytoCalc allows a nondestructive quantification of dry weight and nutrient pools of understorey plants in forests by using the relationship between species biomass, cover and mean shoot length. The model has been validated with independent samples in several German forest types and can be a useful tool in forest monitoring. However, in open areas within forests (e.g. clearcuts), the current model version underestimates biomass and produces unreliable nutrient pool estimations. Thus, tissue density, as approximated by leaf dry matter content (LDMC), is systematically higher under high light compared to low light conditions. We demonstrate that the ratio of LDMC under clearcut conditions to LDMC under forest conditions can be used to adjust the PhytoCalc model to clearcut conditions. We investigated the LDMC ratio of five exemplary species commonly occurring on clearcuts. Integrating the square of the ratio as a correction factor improved estimates of biomass to more than 70% fit between observations and predictions. Results also suggest this ratio can be used to correct nutrient concentrations modelled in PhytoCalc, which tend to be overestimated in clearcuts. As morphological groups of plant species exhibit significantly different ratios, we advise using group-specific correction factors for clearcut adjustments in the future.

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“…Tree biomass is the main component of the carbon stock of vegetation, but the understory vegetation especially litter may play an important role (Muukkonen et al 2006).…”

Section: Introductionmentioning

confidence: 99%

Estimation of Carbon Stock for some Tree Species and Soil in Serabioum Plantation

2017

Alexandria Science Exchange Journal: An International Quarterly

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Field experiment was carried out at Serapium plantation that irrigated with treated sewage water, to study the productivity and carbon stock of three of the most wide planted tree species in Egypt, Corymbia citriodora, Khaya senegalensis and Casuarina equisetifolia aged 5,11 and 7 years old, within a close range of total height and dbh in 2013. Results showed that one feddan of Khaya senegalensis or Casuarina equisetifolia gave the same amount of total stored carbon (tree biomass, litter layer and soil organic carbon) 34.7 and 34.4 Ton C/feddan. While, one feddan of Corymbia citriodora gave 15.8 ton C. the highest annual increment of growing volume, biomass and stored carbon were recorded in Casuarina equisetifolia followed by Corymbia citriodora While, Khaya senegalensis had the lowest value. Main stem volume can be used to predict stored carbon in tree biomass with a high correlation coefficient (R 2 ). Also, both of root/shoot ratio (R) and biomass expansion factor (BEF) were calculated to estimate standing trees biomass.

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Relationship between biomass and percentage cover in understorey vegetation of boreal coniferous forests

Cited by 83 publications

References 31 publications

Using cover measurements to estimate aboveground understorey biomass in Maritime pine stands

Using cover measurements to estimate aboveground understorey biomass in Maritime pine stands

The estimation of aboveground biomass and nutrient pools of understorey plants in closed Norway spruce forests and on clearcuts

Estimation of Carbon Stock for some Tree Species and Soil in Serabioum Plantation

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