Forest Mensuration

Laar, A. van; Akça, Alparslan

doi:10.1007/978-1-4020-5991-9

Cited by 242 publications

(101 citation statements)

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“…Although the period of time (1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004) is considered sufficient to represent the natural mortality process of pyrenean oak, the mortality rate may have been affected by irregular climatic conditions during this period. The rate might have varied if the phenomenon had been studied over a longer period (Laard and Akça, 1997). Furthermore, the most questionable part of the sampling method concerns the determination of time of death.…”

Section: Discussionmentioning

confidence: 99%

Modeling individual-tree mortality in Pyrenean oak (Quercus pyrenaica Willd.) stands

Adame¹,

Rı́o²,

Cañellas³

2010

Ann. For. Sci.

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Keywords:individual-tree mortality model / logistic regression / mixed model / rebollo oak / Mediteranean oak Abstract • Tree mortality is an important process in forest ecosystem dynamics and is one of the least understood phenomena, because of the complex interactions between different environmental stresses, minimal understanding of whole-plant mortality processes, and a chronic shortage of data.• A multilevel logistic regression model was developed for predicting the probability of mortality in individual trees with the objective of improving long-term planning in Spanish pyrenean oak forests. The data came from one 10-year re-measurement of the permanent plot network belonging to the Spanish National Forest Inventory distributed throughout north-west Spain.• The probability of mortality decreased with increasing individual diameter at breast height and increasing ratio of the height of subject tree to the dominant height of the sample plot. The resulting mortality model was evaluated using an independent data set from a region close to the study area.• The regeneration of pyrenean oak generally takes place through stump and/or root sprouting; so stand dynamics differ from those of others species. The model developed is expected to improve the accuracy of stand forecasts in northwest Spain.

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Section: Discussionmentioning

confidence: 99%

Modeling individual-tree mortality in Pyrenean oak (Quercus pyrenaica Willd.) stands

Adame¹,

Rı́o²,

Cañellas³

2010

Ann. For. Sci.

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“…There are a number of instruments and methods for estimating the height of standing trees. In addition to the classical fi eld methods, tree and stand heights may also be estimated by remote sensing methods (van Laar & Akça 2007). Widely used remote sensing methods for estimating tree heights include photogrammetric measurements of aerial images and more recently LiDAR (light detection and ranging) technology.…”

Section: Introductionmentioning

confidence: 99%

“…Due to above-mentioned reasons it has been generally accepted that the extraction of forest and tree data from classical analogue aerial photographs has certain limitations, especially in the densely canopied forests. Therefore, except for the above-mentioned countries the usefulness of photogrammetric method for forest inventories remains a controversial issue (van Laar & Akça 2007).…”

Section: Introductionmentioning

confidence: 99%

Estimation of the mean tree height of forest stands by photogrammetric measurement using digital aerial images of high spatial resolution

et al. 2015

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. Estimation of the mean tree height of forest stands by photogrammetric measurement using digital aerial images of high spatial resolution. Ann. For. Res. 58(1): 125-143.Abstract. Tree height is one of the more fundamental measurements in forest inventories. In addition to classical field measurements, tree height may be estimated by remote sensing methods, such as by photogrammetric measurements of aerial images. Since it has been found and generally accepted that the extraction of forest and tree data from classical analogue aerial photographs has certain limitations, especially in the densely canopied forests, the usefulness of photogrammetric-based forest inventory in many countries remains a controversial issue. Therefore, this paper focuses on investigating the possibility of applying digital photogrammetric method to estimate mean stand height. Photogrammetric stereo-measurements of tree height were conducted on colour infrared images of high spatial resolution (ground sample distance -GSD -of 30 cm and 10 cm) using a digital photogrammetric workstation. The height of each tree within 183 sample plots (14 subcompartments) were calculated as the difference between the tree top elevations determined with the aerial images and the corresponding tree bottom elevations determined from the digital terrain model. To compare the photogrammetric-and field-estimated mean stand heights, the mean plot heights were calculated for both photogrammetric and field estimates of tree heights. Repeated measurements using ANOVA testing did not reveal a statistically significant difference (p > 0.05) between the field-estimated and photogrammetric-estimated mean stand heights using the 30 cm and 10 cm GSD digital aerial images. Deviations of the mean stand heights estimated using the images of both spatial resolutions were similar to the field-estimated heights. Using the 30 cm images the deviations of the photogrammetrically estimated mean stand height amounted to 0.35 m (1.59%) on average, whereas using the 10 cm images the deviations amounted to 0.31 m (1.41%) compared to the field estimation. Therefore, it can be concluded that the 30 cm GSD aerial images allow for the photogrammetric measurement of mean stand heights with accuracy similar to 10 cm GSD aerial images. In addition, 30 cm GSD aerial images are more favourable financially since the same area of interest could be covered with a considerably smaller number of images than of the 10 cm GSD aerial images.

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“…Finally, diameter growth of the individual trees was calculated using diameter at 1 meter above the surface (DH), as the difference between the DH measured at the beginning and the end of a given time period (Laar & van Akça 2007).…”

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confidence: 99%

Assessing urban tree carbon storage and sequestration in Bolzano, Italy

Russo

Escobedo

Timilsina

et al. 2014

International Journal of Biodiversity Science, Ecosystem Servic

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Recent climate change, environmental design, and ecological conservation policies require new and existing urban developments to mitigate and offset carbon dioxide emissions and for cities to become carbon neutral. Some North American models and tools are available and can be used to quantify the carbon offset function of urban trees. But, little information on urban tree carbon storage and sequestration exists from the European Southern Alps. Also, the use of these North American models in Europe has never been assessed. This study developed a protocol to quantify aboveground carbon (C) storage and sequestration using a subsample of urban trees in Bolzano, Italy, and assessed two existing and available C estimation models. Carbon storage and sequestration were estimated using city-specific dendrometrics and allometric biomass equations primarily from Europe and two other United States models; the UFORE (Urban Forest Effects Model) and the CUFR Tree Carbon Calculator (CTCC). The UFORE model carbon storage estimates were the lowest while the CUFR Tree Carbon Calculator (CTCC) C sequestration estimates were the highest. Results from this study can be used to plan, design, and manage urban forests in northern Italy to maximize C offset potential, provide ecosystem services, and for developing carbon neutral policies. Findings can also be used to predict greenhouse gas emissions from tree maintenance operations as well as estimating green waste yield from landscape maintenance activities and its use as biofuel and compost. Managers need to be aware that available models and methods can produce statistically different C storage and sequestration estimates.Keywords: i-Tree Eco; growth rates; allometric equations; ecosystem services; CTCC model Introduction Climate change is one of the most important and pressing environmental, economic, and security issues our world faces today (Barnett 2003;IPCC 2007;Karagiannis & Soldatos 2010). Urban areas are steadily growing throughout the world (Grimm et al. 2008) and by 2030 it is expected that 60% of the world's population will be living in cities (Rydin et al. 2012). Thus, as urban environments become more important as living space for humans, they are an increasing source of carbon emissions.Several studies in North America, China, and Australia (Brack 2002;Zhao et al. 2010;Dobbs et al. 2011;Martin et al. 2012;Roy et al. 2012), and more recently in the United Kingdom and Germany (Davies et al. 2011;Strohbach & Haase 2012;Strohbach et al. 2012), have shown that trees in urban environments remove carbon dioxide from the atmosphere through growth and photosynthesis, and store excess carbon as biomass in roots, stems, and branches. Indirectly, urban trees also reduce building energy used for cooling through their shade and climate amelioration effects, thereby reducing CO 2 emissions from decreased energy production (Akbari et al. 2001).The estimation of tree carbon sequestration depends on species types and their mortality and growth characteristics as well as their overall con...

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Forest Mensuration

Cited by 242 publications

References 0 publications

Modeling individual-tree mortality in Pyrenean oak (Quercus pyrenaica Willd.) stands

Modeling individual-tree mortality in Pyrenean oak (Quercus pyrenaica Willd.) stands

Estimation of the mean tree height of forest stands by photogrammetric measurement using digital aerial images of high spatial resolution

Assessing urban tree carbon storage and sequestration in Bolzano, Italy

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