Plant physiology concentrates on the study of plant internal processes, such as growth, nutrient uptake and photosynthesis. The quantification of photosynthesis regulation is significant in understanding how plants react to the changing climate. Spectral remote sensing methods, using both reflected light in the visible and near infrared wavelengths, as well as chlorophyll fluorescence, are used to gather information about plant physiological variables. These methods have developed rapidly, prompted by the advances in remote sensing platforms and sensors.
However, interpretation of remote sensing signals can be challenging. Due to canopy heterogeneity, the signal is affected by various elements, such as scattering, soil background and canopy structural effects. Additionally, open questions remain linked to the underlying mechanistic processes in the leaf modulating the optical signal, such as nutrient contents and leaf photochemistry, and how these processes and the optical signals diverge in response to temporal variation. Through multi-scale measurements, this thesis aims to advance the interpretation of optical remote sensing signals as they are affected by spatial and temporal variation, while promoting the use of novel methods and devices.
Results indicate that diurnal and long-term variation of solar induced fluorescence (SIF) is driven by photosynthetic and structural factors, causing possible misinterpretations in SIF data. Additionally, depending on the scale of observation, results show that the capacity of remote sensing to detect changes in foliar nutrients depends on the covariation of nutrients, pigments and canopy structure, underlining the need for both leaf and canopy level measurements. Finally, we advocate for the implementation of a novel miniaturized fluorometer, demonstrating the ability to track the seasonal regulation of photosynthesis using integrated measurements of chlorophyll fluorescence and gas exchange. The results from this thesis underline the need for simultaneous multi-scale measurements of leaf and canopy physiological factors to further our understanding of photosynthesis regulation.
Accurate forest structural type (FST) assessment provides a valuable support tool to distinguish the different structures in forest stands, achieve sustainable forest management and formulate effective decisions. Data from four research sites within three biogeographical regions – Boreal, Mediterranean and Atlantic – were used in this study, and reliable methodologies were developed for FST assessment. First, the Gini coefficient (GC) of tree size inequality was used for the structural characterisation, and the effects of plot size, stand density and point density of airborne laser scanning (ALS) on the ALS-assisted GC estimations were evaluated for the Boreal region. Second, four forest structural attributes – quadratic mean diameter (QMD), GC , basal area larger than the mean (BALM) and stand density (N) – from the three biogeographical regions were used to develop region-independent methods for FST assessment. Lastly, a threshold value to represent maximum entropy was determined and was used to classify the various FST directly from ALS data using L-coefficient of variation and L-skewness of ALS echo heights. Aboveground biomass (AGB) was predicted for each FST and was compared with the AGB predictions without pre-stratification. The results showed that (a) plot size had a greater effect on the ALS-assisted estimation compared to stand size and point density, and that 250–450 m2 plot size (radius 9–12 m for circular plots) is the optimal plot size for reliable ALS-assisted GC estimations, (b) GC and BALM are the most reliable bivariate descriptors for FST assessment, and single storey, multi-storey and reversed-J type forest structures can be separated by lower, medium and upper GC and BALM values, respectively, while QMD and N are relevant for the separation of young/mature and sparse/dense subtypes, and (c) based on the mathematical proofs, the threshold values calculated from ALS echo heights and tree basal areas to represent maximum entropy should be 0.33 and 0.5, respectively. Moderate improvements were observed in the AGB predictions from FST classified directly from ALS data compared to the full dataset but critical differences were identified in the selection of ALS metrics by the prediction models. For example, higher percentiles were more relevant in uneven-sized structures and open canopy areas, while cover metrics and average percentiles were important in the even-sized structures and closed canopy areas. Thus, these results are very useful in improving our understanding of the relationships that underpin the choice of ALS predictors in structurally complex forests.
Emissions of biogenic volatile organic compounds (BVOCs) cool down the global climate via their impacts on aerosol and cloud formation. Climate change will likely have a major impact on BVOC fluxes from the biosphere, including soils, due to temperature-driven plant biosynthesis of volatile organic compounds (VOCs), compound volatility and microbial activity. Soils are a poorly quantified source of VOCs, where the diversity of driving factors creates high spatial and temporal variability in soil VOC fluxes.
The aim of this study was to analyse the magnitude and variability of forest floor VOC fluxes, to determine the role of the boreal forest floor in the forest stand BVOC exchange and to estimate plant ecophysiological and microbiological processes, which drive forest floor VOC exchange. Forest floor VOC exchange was determined using a steady-state flow-through chamber technique coupled with mass spectrometry in the boreal and hemiboreal climates.
We revealed that the boreal forest floor contributes significantly to forest stand fluxes, but its importance varies between seasons. The forest floor accounted only a few per cent of the total forest stand fluxes of monoterpenes in summer, while in spring and autumn it could be up to 90%. The forest floor VOC exchange was stable between years, while fluxes had clear seasonal dynamic. Monoterpenes and oxygenated VOCs originated from fresh litter, microbial activity, and ground vegetation VOC biosynthesis. Air inside soil layers was found to contain diverse compounds. Forest floor VOC fluxes varied strongly depending on climate and tree species.
Atmospheric chemistry may be strongly affected by soils during periods when plant-related BVOC biosynthesis and fluxes are low. In the future, we need continuous and simultaneous VOC exchange measurements from forest floors and forest stands in various ecosystems and climate zones. The global budget for soil VOC emissions should also be defined based on existing studies.