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Individual white spruce (Picea glauca (Moench) Voss) growth limitations at treelines in Alaska
(2018)
White spruce (Picea glauca (Moench) Voss) is one of the most common conifers in Alaska and various treelines mark the species distribution range. Because treelines positions are driven by climate and because climate change is estimated to be strongest in northern latitudes, treeline shifts appear likely. However, species range shifts depend on various species parameters, probably most importantly on phenotypic plasticity, genetic adaptation
and dispersal. Due to their long generation cycles and their immobility, trees evolved to endure a wide variety of climatic conditions. In most locations, interannual climate variability is larger than the expected climate change until 2100. Thus treeline position is typically thought of as the integrated effect of multiple years and to lag behind gradual climate change by several decades. Past dendrochronological studies revealed that growth of white spruce in Alaska can be limited by several climatic variables, in particular water stress and low temperatures. Depending on how the intensity of climate warming, this could result in a leading range edge at treelines limited by low temperatures and trailing treelines where soil moisture is or becomes most limiting. Climate-growth correlations are the dendrochronological version of reaction norms and describe the relationship between an environmental variable and traits like tree-ring parameters (e.g. ring width, wood density, wood anatomy). These correlations can be used to explore potential effects of climate change on a target species. However, it is known that individuals differ with respect to multiple variables like size, age, microsite conditions, competition status or their genome. Such individual differences could be important because they can modulate climate-growth relationships and consequently also range shifts and growth trends. Removing individual differences by averaging tree-ring parameters of many individuals into site chronologies could be an oversimplification that might bias estimates of future white spruce performance. Population dynamics that emerge from the interactions of individuals (e.g. competition) and the range of reactions to the same environmental drivers can only be studied via individual tree analyses. Consequently, this thesis focuses on factors that might alter individual white spruce’ climate sensitivity and methods to assess such effects. In particular, the research articles included explore three topics:
1. First, clones were identified via microsatellites and high-frequency climate signals of clones were compared to that of non-clonal individuals. Clonal and non-clonal individuals showed similar high-frequency climate signals which allows to use clonal and non-clonal individuals to construct mean site chronologies. However, clones were more frequently found under the harsher environmental conditions at the treelines which could be of interest for the species survival strategy at alpine treelines and is further explored in the associated RESPONSE project A5 by David Würth.
2. In the second article, methods for the exploration and visualization of individual-tree differences in climate sensitivity are described. These methods represent a toolbox to explore causes for the variety of different climate sensitivities found in individual
trees at the same site. Though, overlaying gradients of multiple factors like temperature, tree density and/or tree height can make it difficult to attribute a single cause to the range of reaction norms (climate growth correlations).
3. Lastly, the third article attempts to disentangle the effect of age and size on climate-growth correlations. Multiple past studies found that trees of different Ages responded differently to climatic drivers. In contrast, other studies found that trees do not age like many other organisms. Age and size of a trees are roughly correlated, though there are large differences in the growth rate of trees, which can lead to smaller trees that are older than taller trees. Consequently, age is an imperfect Proxy for size and in contrast to age, size has been shown to affect wood anatomy and thus tree physiology. The article compares two tree-age methods and one tree-size method based on cumulative ring width. In line with previous research on aging and Wood anatomy, tree size appeared to be the best predictor to explain ontogenetic changes in white spruce’ climate sensitivity. In particular, tallest trees exhibited strongest correlations with water stress in previous year July. In conclusion, this thesis is about factors that can alter climate-growth relationships (reaction norms) of white spruce. The results emphasize that interactions between climate variables and other factors like tree size or competition status are important for estimates of future tree growth and potential treeline shifts. In line with previous studies on white spruce in Alaska, the results of this thesis underline the importance of water stress for white spruce.
Individuals that are taller and that have more competitors for water appear to be most susceptible to the potentially drier future climate in Alaska. While tree ring based growth trends estimates of white spruce are difficult to derive due to multiple overlaying low frequency (>10 years) signals, all investigated treeline sites showed highest growth at the treeline edge. This could indicate expanding range edges. However, a potential bottleneck for treeline advances and retreats could be seedling establishment, which should be explored in more detail in the future.
Global change, amongst others characterized by increasing temperatures, altered precipitation patterns, an increase of extreme climatic events and continued atmospheric depositions of pollutants, is expected to severely impact forest ecosystems worldwide. The complex interplay between different factors acting upon tree growth, combined with regional patterns in climatic change calls for a region specific evaluation of the possible consequences on forest ecosystems. For northeastern Germany regional climate models identify a rise in temperatures and a change in precipitation patterns. Drier summers and wetter winters together with an increase in extreme weather events are seen as the most pronounced changes that will occur during the 21st century. In this thesis I analysed past growth rates and climate-growth relationships in different stands of beech (Fagus sylvatica L.) and oak (Quercus robur L.) along a gradient of decreasing precipitation in a space for time approach. Special attention was paid to the influence of summer drought, soil waterlogging and the importance of site conditions in modulating the reactions to these climatic stressors. Departing from these retrospective analyses, future growth trends are modelled for beech, oak and Scots pine (Pinus sylvestris L.), based on projections of a regional climate model until the year 2100. Furthermore, I studied the influence of sudden and extreme shifts in hydrological conditions on the growth of oaks in a drained peatland that was subject to catastrophic rewetting. All analyses of this thesis are based on ring-width and wood anatomical features applying a variety of dendrochronological methods. The gradient approach revealed similar climate-growth relationships for beech and oak on drought exposed, sandy sites, where water availability during early summer was the main growth-limiting factor for both species. Decreasing precipitation rates towards the East are associated with higher drought susceptibility, especially for beech. As a result, competitive superiority of beech over oak decreases. In a drier future the competitive balance between the two species may shift (rank reversal). During the past decades beech has shown larger interannual growth variability and a higher number of growth depressions. These changes might indicate that increasing temperatures and climatic variability are already affecting its growth patterns and climate sensitivity. This is in line with the prospective modelling approach. According to our models, growth trends will turn negative for beech and oak towards the end of the 21st century, with beech showing the highest growth reduction (23% compared to the reference period 1971-2000). For pine, modelled growth rates show only minor changes. Whereas beech and oak shared a high common signal on the dry sites, the two species differed in high frequency ring patterns on the wet sites. On poorly drained, loamy soils beech, with its superficial root system, suffered from summer droughts. In contrast, on these sites ring-width of pedunculate oak was not correlated to summer moisture conditions resulting in differing interannual ring patterns between dry and wet sites. Wet periods with high soil water saturation did not have a negative influence on the growth of either species. Such a lack of response is not surprising for oak, which is generally known as rather tolerant to soil waterlogging, but it indicates an unexpectedly high tolerance of beech to stagnating wetness. Using the natural laboratory of an oak forest that suffered a catastrophic flooding I could show that slower grown trees that had likely been suppressed displayed a higher adaptive capacity compared with bigger, dominant trees. Many of the previously dominant individuals died within 18 years after the event. Trees that survived the groundwater rise displayed a typical ring pattern: growth was suppressed for a few years, but afterwards recovered and even surpassed previous growth rates, most likely as a result of competition release. The sudden hydrological change left a clear imprint in ring patterns and wood anatomical features in both the dying and the surviving trees. This differentiated imprint may be helpful for a better interpretation of growth patterns found in subfossil bog oaks, an important climate proxy of the Holocene. The insights gained from this thesis support existing concerns about drought induced growth decline for oak, but especially for beech. Changes in precipitation patterns might lead to wetter conditions during winter, but these will likely have only little effect on growth. Both s show rather high resilience to stagnating wetness. More likely, it are extreme events like prolonged droughts or heavy rainfalls that might breach thresholds in the ability of the two species to cope with too much or too little water. Such extreme events thus pose a strong risk to the future growth performance of both oak and beech.
In terms of climate change and climate change mitigation, the quantitative knowledge of global carbon pools is important information. On the one hand, knowledge on the amount of carbon cycling among – and stored in – global pools (i.e. Atmosphere, Biosphere, Cryosphere, Hydrosphere, and Lithosphere) may improve the reliability of models predicting atmospheric CO2 concentrations in terms of fossil fuel combustion. On the other hand, the carbon sequestration potential of specific ecosystems allows for estimating their feasibility regarding carbon trade mechanisms such as the Clean Development Mechanism or the Reducing Emissions from Deforestation and Degradation Program (REDD+). However, up to date, the majority of terrestrial carbon assessments have focused on forests and peatlands, leaving a data gap open regarding the remaining ecosystems. This data gap is likely to be explained by the relatively high carbon densities and/or productivities of forests and peatlands. Nevertheless, to get a precise as possible global picture, information on carbon pools and sequestration of other ecosystems is needed. Although desert ecosystems generally express low carbon densities, they may absolutely store a remarkable amount of carbon due to their large areal extent. In this context, Central Asian Deserts (in particular within the Turanian Deserts, i.e. Karakum, Kysylkum, Muyunkum) likely inhibit comparably high carbon pools as they express a sparse vegetation cover due to an exceptionally high annual precipitation if compared to the World’s deserts. In this dissertation, three important woody plant species – Populus euphratica and Haloxylon aphyllum and Haloxylon persicum – of Central Asian Deserts were investigated for their carbon pools and carbon sequestration potential. These species were chosen as they I) locally express high carbon densities, II) are dominant species, III) have a rather large spatial distribution, and IV) have experienced a strong degradation throughout the 20th century. Thus, they likely show a remarkable potential for carbon re-sequestration through restoration and thus for an application of carbon trade mechanisms (CHAPTER I). P. euphratica was investigated in the nature reserve Kabakly at the Amu Darya, Turkmenistan and in Iminqak at the Tarim He, Xinjiang, China. The assessment of Haloxylon species was restricted to the Turanian deserts west of the Tain Shan. To achieve a first scientific basis for large scale estimates, different methodologies, ranging from allometric formulas, over dendrochronology to remote sensing were combined (CHAPTERS II-V). In CHAPTER II allometric formulas were successfully developed for Haloxylon aphyllum and Haloxylon persicum and applied to six study sites distributed over the Turanian Deserts to represent the allometric variability of Haloxylon species in Central Asia. CHAPTER III derives another allometric formula (only based on canopy area) for H. aphyllum and combines it with a remote sensing analysis from the nature reserve Repetek. Thereby, a first large scale estimate covering the Northeastern Karakum Desert of carbon pools related to mono specific H. aphyllum stands is achieved. CHAPTER IV describes the wood structure of Populus euphratica forests in the nature reserve Kabakly (Turkmenistan) and in Iminqak (Xinjiang, China). In CHAPTER V a dendrochronological approach derives models for predicting the Net Primary Productivity (NPP) and the age of P. euphratica in the nature reserve Kabakly. Thereby, a first feasibility assessment regarding remote sensing analyses and the upscaling of the obtained NPP results is carried out. First estimates based on these local studies (CHAPTER VI), reveal carbon densities ranging from 0.1 – 26.3 t C ha 1 for the three investigated species. Highest maximum and median carbon densities were found for P. euphratica, but Haloxylon aphyllum expressed remarkable maximum carbon densities (13.1 t C ha-1), too. The total carbon pools were estimated at 6480 kt C for P. euphratica, 520 kt C for H. aphyllum stands and 6900 kt C for Haloxylon persicum shrubland. Accounting for the extent of degraded areas, the total re-sequestration potentials of the respective species were estimated at 4320 kt C, 1620 kt C and 21900 kt C, this highlighting the remarkable absolute re-sequestration potential of H. persicum shrubland despite its low average carbon densities. In the end, the main results were put into a broader context (CHAPTER VI), discussing the general feasibility of reforestations both in ecological terms as well as in terms of carbon trade mechanisms. A short example highlights the strong connection between the feasibility of reforestations and the global carbon market. Finally, open research questions are brought forth revealing the yet large research potential of Central Asian Desert ecosystems in general and in terms of carbon sequestration.