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This thesis aims at improving the current representation of adaptation in economic frameworks of climate change by a) accounting for the time-dependent evolution of the adaptive capacities of countries and b) quantifying unwelcome feedbacks of the adaptation process. In this context, it is proposed that economic assessments of climate change incorporate adaptation as a cyclic and phase-dependent process while devising their cost methodologies. A phase-dependent process acknowledges the existence of adaptation barriers while a cyclic process accounts for potential unwanted feedbacks of adaptation. By analyzing economic assessments against this framework, it is shown that dependencies between phases of adaptation and phases altogether are often disregarded. Furthermore, potential negative consequences associated with adaptation are rarely considered and adaptation is generally assumed to be unconstrained. The assumption of unconstrained adaptation is only acceptable in the context of high adaptive capacity. This concept was further investigated through a review of vulnerability assessments regarding their operation of the adaptive capacity component. It was found that adaptive capacity is mostly equated to proxies that reflect the knowledge, financial and livelihood capacities of the system under analysis. With this theoretical considerations in mind, a dynamic representation of adaptive capacity was elaborated at a country-level. The Human Development Index (HDI) was used as a proxy of the adaptive capacity of countries and its evolution in time extrapolated. The time required for countries to achieve developed world standards of human development was then estimated. The results indicate that between 2005 and 2020, half of the world population will live in countries with low adaptive capacity. This percentage is then progressively reduced to 15% in the year 2050, with marked regional differences. The time required for a country to achieve an appropriate level of development sets a clear constraint on when, and to what extent, the country can engage on climate change adaptation. This does not imply that adaptation will not take place before development occurs. Rather, it calls for adaptation options to be tailored in order to t the current and future adaptive capacities of countries. Obtaining higher levels of adaptive capacity is likely to be associated with negative consequences for the climatic system. The statistical relation between HDI and per-capita emissions of countries was established and future projections made. Between 2010 and 2050 approx. 300 Gt of CO2 are estimated to be associated with the increase of adaptive capacities of current developing countries. This value represents about 30% of the allowed CO2-budgets to restrict global temperatures to an increase of 2 degrees by 2100 compared to pre-industrial times - conditional to a 25% risk of failing to meet the target. For the case of sea-level rise, the modelling framework DIVA (Dynamic Interactive Vulnerability Assessment) was used in order to illustrate the drawbacks of a simplistic representation of adaptation. The results show that adaptation via the construction of protective infrastructure might be economically feasible for particular countries. For others, modeled results fail to provide a clear choice between adaptation or inaction. The assumption of unconstrained adaptation resulted in the valuation of costly protection options whose financial and knowledge requirements can be at odds with the capacities of some coastal countries - namely developing countries. Further, infrastructural protection as adaptive measure to prevent coastal damages can have the counter-productive effect of raising the amount and value of assets at risk. This is a direct result of DIVA disregarding the potential unwelcome feedbacks of adaptation itself. In conclusion, the full potential of economic assessments of climate adaptation is likely to remain unlocked as long as adaptation continues to be misrepresented. The methodologies discussed in this work provide a way forward to alleviate this deficiency in forthcoming assessments. For the case of sea-level rise, the modeling framework DIVA (Dynamic Interactive Vulnerability Assessment) was used in order to illustrate the drawbacks of a simplistic representation of adaptation. The results show that adaptation via the construction of protective infrastructure might be economically feasible for particular countries. For others, modeled results fail to provide a clear choice between adaptation or inaction. The assumption of unconstrained adaptation resulted in the valuation of costly protection options whose financial and knowledge requirements can be at odds with the capacities of some coastal countries - namely developing countries. Further, infrastructural protection as adaptive measure to prevent coastal damages can have the counter-productive effect of raising the amount and value of assets at risk. This is a direct result of DIVA disregarding the potential unwelcome feedbacks of adaptation itself. In conclusion, the full potential of economic assessments of climate adaptation is likely to remain unlocked as long as adaptation continues to be misrepresented. The methodologies discussed in this work provide a way forward to alleviate this deficiency in forthcoming assessments.
Dendrochronology, the science of tree-rings is a tool which has been widely used for many years for understanding changes in the environment, as trees react to environmental changes over time. In the contemporary situation, where climate warming in the Arctic is unequivocal and its effects on the Alpine and tundra ecosystems are seen pronouncedly in the past decade, the role of dendro-studies and the use of trees and shrubs alike as proxies of change has become critical. Studies clearly indicate that warming in the Arctic and Alpine tundra has resulted in increased vegetation in recent years. Shrubs, in these sensitive ecosystems, have proven to be highly instrumental as they likely benefit from this warming and hence are good indicators and auditees of this change. Therefore, in this study, we investigate the potential of shrubs in the evolving field of dendro-ecology/climatology.
Studies from classical dendrochronology used annual rings from trees. Further, because of shrub sensitivity to contemporary change, shrub-based dendrochronological research has increased at a notable scale in the last decade and will likely continue. This is because shrubs grow even beyond the tree line and promise environmental records from areas where tree growth is very limited or absent. However, a common limitation noted by most shrub studies is the very hard cross-dating due to asynchronous growth patterns. This limitation poses a major hurdle in shrub-based dendrochronological studies, as it renders weak detection of common signals in growth patterns in population stands. This common signal is traced by using a ‘site-chronology’.
In this dissertation, I studied shrub growth through various resolutions, starting from understanding radial growth within individuals along the length of the stem, to comparison of radial growth responses among male and female shrubs, to comparing growth responses among trees and shrubs to investigation of biome-wide functional trait responses to current warming. Apart from Chapter 4 and Chapter 6, I largely used Juniperus communis sp. for investigations as it is the most widely distributed woody dioecious species often used in dendro-ecological investigations in the Northern Hemisphere.
Primarily, we investigated radial growth patterns within shrubs to better understand growth within individuals by comparing different stem-disks from different stem heights within individuals. We found significant differences in radial growth from different stem-disks with respect to stem heights from same individuals. Furthermore, we found that these differences depending on the choice of the stem-disk affect the resulting site-chronology and hence climate-sensitivity to a substantial extent and that the choice of a stem-disk is a crucial precursor which affects climate-growth relationships.
Secondly, we investigated if gender difference – often reported causing differential radial growth in dioecious trees – is an influential factor for heterogeneous growth. We found that at least in case of Juniperus communis. L and Juniperus communis ssp nana. WILLD there is no substantial gender biased difference in radial growth which might affect the site-chronology. We did find moderate differences between sexes in an overall analysis and attribute this to reproductive effort in females.
In our study to test the potential of shrubs for reconstruction, we used a test case of Alnus viridis ssp crispa. We found a strong correlation between ring-width indices and summer temperature. Initially, the model failed the stability tests when we tested the stability of this relation using a response function model. However, using wood-anatomical analysis we discovered that this was because of abnormal cell-wall formation resulting in very thin rings in the year 2004. Pointer year analysis revealed that the thin rings were caused because of a moth larval outbreak and when corrected for these rings the model passed all stability tests.
Furthermore, to see if trees and shrubs growing in same biomes react to environmental changes similarly, a network analysis with sites ranging from the Mediterranean biome to the Ural Mountains in Russia was carried out. We found that shrubs react better to the current climate warming and have a decoupled divergent temperature response as compared to coexisting trees. This outcome reiterated the importance of shrub studies in relation to contemporary climate change. Even though trees and shrubs are woody forms producing annual rings, they have very different growth patterns and need different methods for analysis and data treatment.
Finally, in a domain-wide network analysis from plant-community vegetation survey, we investigated functional relationships between plant traits (leaf area, plant height, leaf nitrogen content, specific leaf area (SLA), and leaf dry matter content (LDMC)) and abiotic factors viz. temperature and soil moisture. We found a strong relation between summer temperature and community height, SLA and LDMC on a spatial scale. Contrarily, the temporal-analysis revealed SLA and LDMC lagged and did not respond to temperature over the last decade. We realized that there are complex interactions between intra-specific and inter-specific plant traits which differ spatially and temporally impacting Arctic ecosystems in terms of carbon turn over, surface albedo, water balance and heat-energy fluxes. We found that ecosystem functions in the Arctic are closely linked with plant height and will be indicative of warming in the short term future becoming key factors in modelling ecosystem projections.
Animal species differ considerably in longevity. Among mammals, short-lived species such as shrews have a maximum lifespan of about a year, whereas long-lived species such as whales can live for more than two centuries. Because of their slow pace of life, long-lived species are typically of high conservation concern and of special scientific interest. This applies not only to large mammals such as whales, but also to small-sized bats and mole-rats. To understand the typically complex social behavior of long-lived mammals and protect their threatened populations, field studies that cover substantial parts of a species’ maximum lifespan are required. However, long-term field studies on mammals are an exception because the collection of individualized data requires considerable resources over long time periods in species where individuals can live for decades. Field studies that span decades do not fit well in the current career and funding regime in science. This is unfortunate, as the existing long-term studies on mammals yielded exciting insights into animal behavior and contributed data important for protecting their populations. Here, I present results of long-term field studies on the behavior, demography, and life history of bats, with a particular focus on my long-term studies on wild Bechstein’s bats. I show that long-term studies on individually marked populations are invaluable to understand the social system of bats, investigate the causes and consequences of their extraordinary longevity, and assess their responses to changing environments with the aim to efficiently protect these unique mammals in the face of anthropogenic global change.