Recent changes in forest productivity: An analysis of national forest inventory data for common beech (Fagus sylvatica L.) in north-eastern France

Charru, Marie; Seynave, Ingrid; Morneau, François; Bontemps, Jean‐Daniel

doi:10.1016/j.foreco.2010.06.005

Cited by 128 publications

(75 citation statements)

References 38 publications

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“…Using dominant height as a measure of site productivity, Bontemps et al (2009) reported an increase of more than 50% in common beech at the end of the 20 th century in north-eastern France, whereas Badeau et al (1995) found an increase of 27%. Charru et al (2010) found an increase of 27.8% in stand basal area increment between 1977 and 1987, and a decrease of approximately 5% between 1987 and 2004. Both positive and negative estimated impacts on forest growth have been reported depending on the climate scenarios employed (Lutz et al 2013).…”

Section: Introductionmentioning

confidence: 90%

Potential impacts of regional climate change on site productivity of Larix olgensis plantations in northeast China

Shen¹,

Lei²,

Liu³

et al. 2015

iForest

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© iForest -Biogeosciences and Forestry IntroductionUnderstanding how climate change affects forest site productivity is of great importance for adaptive forest management under climate change conditions. Forest site productivity, as a quantitative estimate of the potential for producing plant biomass at a site, is a significant indicator of forest quality, as well as an important variable of forest growth models in forest management (Skovsgaard & Vanclay 2008). However, site productivity presents great spatial and temporal variability (Skovsgaard & Vanclay 2013). Climate change directly or indirectly affects forest productivity due to rising atmospheric CO2 concentration and temperatures, changes in the amount and timing of precipitation and the interactions of forest ecosystems (Kirilenko & Sedjo 2007, Medlyn et al. 2011. Experiments, observations and models indicate that the forest productivity changes with climate change, but the direction and magnitude of the effects are still uncertain (Medlyn et al. 2011). Using dominant height as a measure of site productivity, Bontemps et al. (2009) reported an increase of more than 50% in common beech at the end of the 20 th century in north-eastern France, whereas Badeau et al. (1995) found an increase of 27%. Charru et al. (2010) found an increase of 27.8% in stand basal area increment between 1977 and 1987, and a decrease of approximately 5% between 1987 and 2004. Both positive and negative estimated impacts on forest growth have been reported depending on the climate scenarios employed (Lutz et al. 2013).One of the most widely used indicators of forest site productivity in forest management is the site index (SI), which is the mean height of the dominant trees growing on a site at a reference age (Carmean 1975, Skovsgaard & Vanclay 2008. The site index is assumed to be constant over time, and thus included as a driving variable in forest growth and yield models. In reality, the site index often varies greatly due to changes in the genetic make-up of stands, climatic conditions and management practices (Monserud & Rehfeldt 1990, Valentine 1997, Weiskittel et al. 2011). Empirical models have been developed to estimate the site index from climate, soil and vegetation information, thus allowing the possibility of predicting changes in the site index, forest growth and forest yield under climate change (McKenney & Pedlar 2003, Nigh et al. 2004, Monserud et al. 2006, 2008, Albert & Schmidt 2009, Aertsen et al. 2011, Nothdurft et al. 2012. The climate variables that influence the site index vary with species and sites, as do the magnitude of these variables (Messaoud & Chen 2011). Nigh et al. (2004 developed climate-sensitive site index models of three species (spruce, lodgepole pine and Douglas fir) in the interior of British Columbia, Canada. They found that the site index for all species increased as the temperature rose, and that site index increased with precipitation for the two latter species. Monserud et al. (2006) found that the strongest linear predictors of site...

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Section: Introductionmentioning

confidence: 90%

Potential impacts of regional climate change on site productivity of Larix olgensis plantations in northeast China

Shen¹,

Lei²,

Liu³

et al. 2015

iForest

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“…Despite the fact that the greatest damages caused by drought occur mainly in the agricultural sector (Eitzinger et al, 2013;Trnka et al, 2014), forestry has also been significantly affected (Charru et al, 2010;Hlásny et al, 2014). In forest ecosystems, drought causes direct losses in wood production, affects the utilisation of non-productive forest functions, disrupts ecological bonds and trophic structures, increases the risk of forest fires, and acts as a significant predisposing factor of the stand attack by harmful insects and pathogens (Allen et al, 2010;Granier et al, 2007;Zhang et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Identifying the relationships of climate and physiological responses of a beech forest using the Standardised Precipitation Index: a case study for Slovakia

Vido

Střelcová

Nalevanková

et al. 2016

Journal of Hydrology and Hydromechanics

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The paper presents relationship between the Standardised Precipitation Index (SPI) and physiological responses of individual trees in a beech stand using an example of an experimental plot in Bienska valley (Zvolen, Slovakia). SPI is a widely used tool for monitoring both short-term and long-term droughts, and for the assessments of drought impacts on agriculture. Due to the complex ecosystem bonds, monitoring of drought in forests often requires a sophisticated technological approach. The aim of the paper was to correlate the SPI on the physiological responses of trees that were recorded during the performed physiological research (sap flow, and stem circumference increment) at the site in the growing seasons (May to September) of the years 2012-2014. The results revealed a relationship between the index and the physiological responses, although the problem with the impact of other environmental factors has also come up. The secondary correlation, in which soil water potential that significantly affects physiological responses of forest tree species was used as a dependent variable, showed a tighter relationship with the SPI. We found the highest correlation between the soil water potential and the values of SPI aggregated for five weeks. This indicates that the beech forest has a five week resistance to drought stress. The results also enable simple monitoring of the initiation of the drought stress by applying SPI for five weeks.

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“…Friedrichs et al 2009;Scharnweber et al 2011) and precipitation might have increased at site SW: in contrast to the former statement about the sites that no significant differences appear across the valley (Geßler et al 2001), measured precipitation at site SW-C from 2001 to 2007 was higher than at NE-C (1,027 compared to 865 mm annual average). During the simulation period, the driest year was 2003 that has been shown to decrease carbon assimilation in Europe in general (Ciais et al 2005) and for beech in particular (Charru et al 2010). However, no growth depression in that year became obvious from the average year ring width of both plots.…”

Section: Discussionmentioning

confidence: 97%

Extending a physiological forest growth model by an observation-based tree competition module improves spatial representation of diameter growth

2013

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One of the pivotal objectives in forestry research is to estimate the response of silvicultural target variables to climate change scenarios at high temporal resolution in order to consider within-year feedbacks between growth and environmental conditions. To meet this challenge, models are needed which support and complement the widely used observation-based decision systems in forest management and consulting. Physiological models in particular provide the fundamental prerequisites to reflect the impact of various simultaneously changing environmental conditions. However, a physiological representation at the individual tree level is computationally very expensive and sensitive to uncertain initializations. We thus propose an approach that combines a modern representative of the physiological cohort model type, MoBiLE-PSIM, with the individual tree competition concept of a distance-dependent empirical growth simulator (SILVA). The resulting hybrid provides a key feature for the consideration of forest management in long-term simulations at high computational efficiency. The extended model was evaluated with growth-diameter distributions obtained from core-boring at two beech (Fagus sylvatica L.) forest sites in south-west Germany that differ in exposure and soil conditions. The mean bias of annual standscale growth from 2001 to 2007 decreased from -0.59 to -0.41 mm at one evaluation plot and from -0.55 to -0.24 mm at the other when the competition module was coupled in. Inclusion of the SILVA-based individual tree module into MoBiLE-PSIM improved the size-dependent representation of competition and growth on five-year and even annual timescale. This was particularly the case where the spatial distribution of dominant trees was clustered.

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Recent changes in forest productivity: An analysis of national forest inventory data for common beech (Fagus sylvatica L.) in north-eastern France

Cited by 128 publications

References 38 publications

Potential impacts of regional climate change on site productivity of Larix olgensis plantations in northeast China

Potential impacts of regional climate change on site productivity of Larix olgensis plantations in northeast China

Identifying the relationships of climate and physiological responses of a beech forest using the Standardised Precipitation Index: a case study for Slovakia

Extending a physiological forest growth model by an observation-based tree competition module improves spatial representation of diameter growth

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