Les politiques de développement durable ont fait émerger de nombreux outils qui visent à concilier les enjeux de développement économique et ceux de préservation des intérêts sociaux et environnementaux. Parmi eux, la compensation territoriale se matérialise par l’attribution, à un territoire subissant les impacts négatifs d’un aménagement déclaré d’utilité publique, d’un ensemble de mesures visant à maintenir à niveau acceptable le bien-être des individus et l’état écologique du milieu. Elle permet ainsi de rétablir un équilibre entre la dimension globale du projet, qui ne considère que ses effets positifs, et la dimension locale, dans laquelle les externalités positives et négatives du projet rentrent en jeu. Initié par un questionnement sur la mise en oeuvre d’un tel outil de politique publique au sein de territoires spécifiques, l’objectif principal de ce travail est de caractériser la demande de compensation par les acteurs du territoire au regard des impacts perçus dans un contexte de projet d’aménagement. Ce travail explore les perceptions des acteurs du territoire de la baie de Saint-Brieuc directement concernés par un projet de parc éolien en mer vis-à-vis de ce principe de compensation. Pour ce faire, des approches qualitatives et quantitatives ont été utilisées de manière complémentaire et font appel à des outils spécifiques tels que la cartographie cognitive floue et la méthode des choix expérimentaux. Cette démarche nous a permis de produire de nombreux éléments de compréhension quant à la manière dont ces acteurs perçoivent les impacts d’un tel projet d’aménagement, acceptent ou non le principe de compensation comme outil de réponse aux impacts négatifs du projet et envisagent la mise en oeuvre de la compensation à travers leurs préférences vis-à-vis de différentes types d’actions – indemnisations financières, investissements dans des biens communs, restauration écologique. Les résultats de ce travail montrent que les perceptions, très hétérogènes au sein des acteurs du territoire, s’expliquent en grande partie à travers le concept de Communautés de Pratiques. Finalement, lorsque le principe de compensation est accepté par les acteurs du territoire, la logique d’équivalence qui conditionne la demande de compensation peut s’expliquer de trois manières différentes : une équivalence territoriale dans laquelle les bénéfices issus de la compensation doivent profiter à l’ensemble de la population du territoire impacté ; une équivalence écologique dans laquelle le niveau de fonctions écologiques et de services écosystémiques est maintenu constant, une équivalence basée sur des valeurs économiques pour pallier le manque à gagner de certaines activités professionnelles. / In the context of a territory suffering from the negative impacts of an infrastructure declared of public utility, territorial compensation consists of a set of measure that aims to help maintaining the level of well-being of each and every individual as well as a desirable ecological state. This way, territorial compensation allows to balance between the global scale of the project, in which only the positive impacts are taken into account, and the local scale where both positive and negative externalities of the project are running. Initiated by a questioning on how such a public policy tool can be deployed at the heart of specific territories, the main objective of this PhD work is to characterize the expectation of local stakeholders towards the perceived impacts awaited from the instatement of a development project. More specifically, this work relies on an analytical approach centered on the study of the perception of the stakeholders of the Bay of St-Brieuc territory (Western Brittany, France), who are directly concerned by an offshore wind farm project. To reach suchaims, complementary qualitative and quantitative methods are used such as fuzzy cognitive mapping and choice experiment method. Using this kind of approaches allowed us to better define several keys for understanding how local stakeholders perceive the impacts of such a project and agree or not with compensation being an appropriate answer regarding the negative impacts of the project and consider the implementation of compensation in reference to their preferences towards different types of action – monetary incentives, public goods investments, ecological restoration. Our results show very heterogeneous perceptions in between the different stakeholders that can in a large part beexplained using the concept of Communities of Practice. Finally, when the principle of compensation is accepted by allthe stakeholders of a territory, the equivalency logical that determines the compensation expectations can be of three types: a territorial equivalency, in which the benefits of compensation must be shared by all inhabitants of the impacted territory; an ecological equivalency, in which the level of ecological functions or ecosystem services is maintained constant; and an equivalency based on economic values that must balance the loss of benefits underwent by some professional activities.

Neoliberal economists argue that the market provides the most efficient mechanism to address externalities. Theoretically then, the market value of a commodity should show a correlation with any changes in social and ecological performance. Alternatively, if the social and ecological costs of production are being externalized (not addressed by the market) then it is expected that the social and ecological costs of production would not be reflected in the market price. This study examined the extent to which social and environmental costs are externalized by the salmon farming industry and, by extension, to what level social and ecological impacts are reflected in the market, if at all. The salmon farming industry represents a classic example of how a relatively new industry functions within the confines of the current economic climate and was assessed to examine whether social and ecological impacts are reflected in the market. A novel tool called the Global Aquaculture Performance Index (GAPI) has been developed that addresses both the need for a quantitative measure of social and ecological performance and a tool that informs where policy is best directed to alleviate the impact of externalities. In applying the GAPI method, the market price for farmed salmon was not found to be correlated with changes in social and ecological performance and it may be assumed that these costs are externalized. GAPI provides a quantitative, performance based assessment of the salmon farming industry while the indicators of social and ecological performance provide clear starting points to improve salmon farming through a policy based context.

<p>Climate change has dramatically altered the ecological landscape of the eastern U.S., leading to shifts in phenological events and redistribution of tree species. However, shifts in phenology and species distributions have implications for the productivity of different populations and <a></a>the communities these species are a part of. Here, I utilized two studies to quantify the effects of climate change on forests of the eastern U.S. First, I used phenology observations at a common garden of 28 populations of northern red oak (<i>Quercus rubra</i>) across seven years to assess shifts in phenology in response to warming, identify population differences in sensitivity to warming, and correlate sensitivity to the productivity of the populations. Second, I utilized data from the USDA Forest Service’s Forest Inventory and Analysis Program to identify forest communities of the eastern U.S., assess shifts in their species compositions and spatial distributions, and determine which climate-related variables are most associated with changes at the community level. In the first study, I found that populations were shifting their spring phenology in response to warming, with the greatest sensitivity in populations from warmer, wetter climates. However, these populations with higher sensitivity did not have the highest productivity; rather, populations closer to the common garden with intermediate levels of sensitivity had the highest productivity. In the second study, I found that there were 12 regional forest communities of the eastern U.S., which varied in the amount their species composition shifted over the last three decades. Additionally, all 12 communities shifted their spatial distributions, but their shifts were not correlated with the distance and direction that climate change predicted them to shift. Finally, areas with the highest changes across all 12 communities were associated with warmer, wetter, lower temperature-variable climates generally in the southeastern U.S. Taken together, these studies provide insight into the ways in which forests are responding to climate change and have implications for the management and sustainability of forests in a continuously changing global environment.</p>

<p>This thesis is a collection of three research articles to quantify carbon fluxes and isotopic signature changes across global terrestrial ecosystems. Chapter 2, the first article of this thesis, focuses on the importance of an under-estimated methane soil sink for contemporary and future methane budgets in the pan-Arctic region. Methane emissions from organic-rich soils in the Arctic have been extensively studied due to their potential to increase the atmospheric methane burden as permafrost thaws. However, this methane source might have been overestimated without considering high affinity methanotrophs (HAM, methane oxidizing bacteria) recently identified in Arctic mineral soils. From this study, we find that HAM dynamics double the upland methane sink (~5.5 TgCH₄yr^-1) north of 50°N in simulations from 2000 to 2016 by integrating the dynamics of HAM and methanogens into a biogeochemistry model that includes permafrost soil organic carbon (SOC) dynamics. The increase is equivalent to at least half of the difference in net methane emissions estimated between process-based models and observation-based inversions, and the revised estimates better match site-level and regional observations. The new model projects double wetland methane emissions between 2017-2100 due to more accessible permafrost carbon. However, most of the increase in wetland emissions is offset by a concordant increase in the upland sink, leading to only an 18% increase in net methane emission (from 29 to 35 TgCH₄yr^-1). The projected net methane emissions may decrease further due to different physiological responses between HAM and methanogens in response to increasing temperature. This article was published in <i>Nature Climate Change</i> in March 2020.</p> <p>In Chapter 3, the second article of this thesis, I develop and validate the first biogeochemistry model to simulate carbon isotopic signatures (δ¹³C) of methane emitted from global wetlands, and examined the importance of the wetland carbon isotope map for studying the global methane cycle. I incorporated a carbon isotope-enabled module into an extant biogeochemistry model to mechanistically simulate the spatial and temporal variability of global wetland δ¹³C-CH₄. The new model explicitly considers isotopic fractionation during methane production, oxidation, and transport processes. I estimate a mean global wetland δ¹³C-CH₄ of -60.78‰ with its seasonal and inter-annual variability. I find that the new model matches field chamber observations 35% better in terms of root mean square estimates compared to an empirical static wetland δ¹³C-CH₄ map. The model also reasonably reproduces the regional heterogeneity of wetland δ¹³C-CH₄ in Alaska, consistent with vertical profiles of δ¹³C-CH₄ from NOAA aircraft measurements. Furthermore, I show that the latitudinal gradient of atmospheric δ¹³C-CH₄ simulated by a chemical transport model using the new wetland δ¹³C-CH₄ map reproduces the observed latitudinal gradient based on NOAA/INSTAAR global flask-air measurements. I believe this study is the first process-based biogeochemistry model to map the global distribution of wetland δ¹³C-CH₄, which will significantly help atmospheric chemistry transport models partition global methane emissions. This article is in preparation for submission to <i>Nature Geoscience</i>.</p> <p>Chapter 4 of this thesis, the third article, investigates the importance of leaf carbon allocation for seasonal leaf carbon isotopic signature changes and water use efficiency in temperate forests. Temperate deciduous trees remobilize stored carbon early in the growing season to produce new leaves and xylem vessels. The use of remobilized carbon for building leaf tissue dampens the link between environmental stomatal response and inferred intrinsic water use efficiency (iWUE) using leaf carbon isotopic signatures (δ¹³C). So far, few studies consider carbon allocation processes in interpreting leaf δ¹³C signals. To understand effects of carbon allocation on δ¹³C and iWUE estimates, we analyzed and modeled the seasonal leaf δ¹³C of four temperate deciduous species (<i>Acer saccharum, Liriodendron tulipifera, Sassafras albidum, </i>and <i>Quercus alba</i>) and compared the iWUE estimates from different methods, species, and drought conditions. At the start of the growing season, leaf δ¹³C values were more enriched, due to remobilized carbon during leaf-out. The bias towards enriched leaf δ¹³C values explains the higher iWUE from leaf isotopic methods compared with iWUE from leaf gas exchange measurements. I further showed that the discrepancy of iWUE estimates between methods may be species-specific and drought sensitive. The use of δ¹³C of plant tissues as a proxy for stomatal response to environmental processes, through iWUE, is complicated due to carbon allocation and care must be taken when interpreting estimates to avoid proxy bias. This article is in review for publication in <i>New Phytologist</i>.</p> <p> </p>

This study aimed to evaluate the ecological impacts of sand mining on the Mokolo River, in Lephalale. The study focused on the water quality, macroinvertebrates and physical disturbances as indicators in order to determine the ecological im-pacts of sand mining on the Mokolo River. The water quality variables, which this study entailed, were related to sand mining and other sources of pollution such as coal mining, power station industries, agriculture and wastewater treatment works on the Mokolo River. The water quality results for pH, electrical conductivity (EC), total alkalinity (CaCO3), sodium (Na), calcium (Ca), magnesium (Mg), potassium (K), chloride (Cl), fluoride (F), sulphate (SO4) and nitrate (NO3-N) were not over the limits, however turbidity, total coliforms and E. coli were over the limits as per the Target Water Quality Guideline (TWQG). The River Health Programme (RHP) was done at upstream, sand mining and downstream areas in the Mokolo River using the South African Scoring System Version 5 (SASS5). The ecological status at the upstream and downstream areas changed from class C (March 2018) to class B (November 2018), indicating that the ecological status improved in those areas of the Mokolo River. However, at the sand mining area the ecological status has not improved and it was seriously modified due to the physical disturbance as a result of sand mining. Ecological impacts, such as the removal of marginal and riparian vegetation, erosion, disturbed riverbed, undercutting and collapse of riverbanks, loss of adjacent land, river deepened, river widened, water pools, in stream sand stockpiles and river diversions, were determined at the sand mining area. No physical disturbances at the upstream and downstream areas were determined. The findings of this study indicate that the ecological impacts of change in water quality at the upstream and downstream areas was due to high turbidity, Total coli-forms and E. coli. The absence of sensitive macroinvertebrates and loss of ma-croinvertebrates and the physical disturbances within the Mokolo River was be-cause of sand mining. The study indicates that sand mining has negative impacts on the water quality, water quantity, macroinvertebrates and physical characteris-tics of the Mokolo River. / Environmental Sciences / M. Sc. (Environmental Science)

<p dir="ltr">Global forest ecosystems provide essential ecosystem services that contribute to water and climate regulation, food production, recreation, and raw materials. They also serve as crucial habitats for numerous terrestrial species of amphibians, birds, and mammals worldwide. However, recent decades have witnessed unprecedented changes in forest ecosystems due to climate change, shifts in species distribution patterns, increased planted forest areas, and various disturbances such as forest fires, insect infestations, and urbanization. These changes can have far-reaching impacts on ecological networks, human well-being, and the well-being of global forest ecosystems. To address these challenges, I present four studies to quantify forest dynamics through mapping, classification, and projection, using artificial intelligence tools in combination with a vast amount of training data. (I) I present a spatially continuous map of planted forest distribution across East Asia, produced by integrating multiple sources of planted and natural forest data. I found that China contributed 87% of the total planted forest areas in East Asia, most of which are located in the lowland tropical/subtropical regions and Sichuan Basin. I also estimated the dominant genus in each planted forest location. (II) I used continent-wide forest inventory data to compare the range shifts of forest types and their constituent tree species in North America in the past 50 years. I found that forest types shifted more than three times as fast as the average of their constituent tree species. This marked difference was attributable to a predominant positive covariance between tree species ranges and the change of species relative abundance. (III) Based on individual-level field surveys of trees and breeding birds across North America, I characterized New World wood-warbler (<i>Parulidae</i>) species richness and its potential drivers. I identified forest type as the most powerful predictor of New World wood-warbler species richness, which adds valuable evidence to the ongoing physiognomy versus composition debate among ornithologists. (IV) In the appendix, I utilized continent-wide forest inventory data from North America and South America and the combination of supervised and unsupervised machine learning algorithms to produce the first data-driven map of forest types in the Americas. I revealed the distribution of forest types, which are useful for cost-effective forest and biodiversity management and planning. Taken together, these studies provide insight into the dynamics of forest ecosystems at a large geographic scale and have implications for effective decision-making in conservation, management, and global restoration programs in the midst of ongoing global change.</p>