This body of work began as an exploration of the University of Manitoba’s Southwood Lands (a former eighteen-hole golf course), with the intention of proposing something new for the site. However, analysis and critical thinking led to the realization that there was a need to not only look at the Southwood Lands, but also the entire Fort Garry Campus. The work evolved through a process of discovery, using a variety of methods from walking the site, documentation through photography, visits to the archives to uncover history, and mapping from afar. One of the underlying objectives was to highlight the importance of taking additional time to understand a place prior to making decisions, revealing what makes a place unique, where the opportunities are, and what has been hidden over time. The idea of a site being a blank slate is dismissed, drawing on the importance of found conditions in decision making. Looking deeper into a place also leads to a greater respect for what is already there. It is what we already have that is so often discarded, and seen as having no value in decision making (the natural areas in a city or the trees on a former golf course for example). It is also the ecosystems that are seen as scrubby and unkept that are the most complex systems and richest spaces for life. Once complex, biologically rich systems are erased there is no going back to them. It is the existing conditions that are worth taking the extra time to investigate, a process that must occur prior to making design decisions that seek to remove or make new. It is only though looking, and looking carefully with un-objective eyes, and an open mind, that design can truly enhance what we already have. This practicum works under the premise that landscape has value in its own right. The landscape is not empty space, not just a place to put buildings, not a luxury that can easily be cut from budgets, and certainly not something that can be considered an afterthought. Instead, landscape is valued as something which is working and active, an essential part of life on this planet that is becoming increasingly important with a rapidly changing climate. The intellectual foundation for organizing ideas around approaching the site have been interpreted from Christophe Girot’s ‘Four Trace Concepts in Landscape Architecture’. They are in this order: landing, grounding, finding, and founding. While Girot’s four trace concepts organize ideas around approaching the site, there are three underlying principles that guide the entire body of work: 1. Landscape as infrastructure and organizing system; 2. Design as a process of discovery; 3. Investigation through multiple scales of inquiry. A strategy for the Fort Garry Campus is where this work concludes, followed by reflections on the importance of context in design and the lessons learned throughout the practicum process.

This body of work began as an exploration of the University of Manitoba’s Southwood Lands (a former eighteen-hole golf course), with the intention of proposing something new for the site. However, analysis and critical thinking led to the realization that there was a need to not only look at the Southwood Lands, but also the entire Fort Garry Campus. The work evolved through a process of discovery, using a variety of methods from walking the site, documentation through photography, visits to the archives to uncover history, and mapping from afar. One of the underlying objectives was to highlight the importance of taking additional time to understand a place prior to making decisions, revealing what makes a place unique, where the opportunities are, and what has been hidden over time. The idea of a site being a blank slate is dismissed, drawing on the importance of found conditions in decision making. Looking deeper into a place also leads to a greater respect for what is already there. It is what we already have that is so often discarded, and seen as having no value in decision making (the natural areas in a city or the trees on a former golf course for example). It is also the ecosystems that are seen as scrubby and unkept that are the most complex systems and richest spaces for life. Once complex, biologically rich systems are erased there is no going back to them. It is the existing conditions that are worth taking the extra time to investigate, a process that must occur prior to making design decisions that seek to remove or make new. It is only though looking, and looking carefully with un-objective eyes, and an open mind, that design can truly enhance what we already have. This practicum works under the premise that landscape has value in its own right. The landscape is not empty space, not just a place to put buildings, not a luxury that can easily be cut from budgets, and certainly not something that can be considered an afterthought. Instead, landscape is valued as something which is working and active, an essential part of life on this planet that is becoming increasingly important with a rapidly changing climate. The intellectual foundation for organizing ideas around approaching the site have been interpreted from Christophe Girot’s ‘Four Trace Concepts in Landscape Architecture’. They are in this order: landing, grounding, finding, and founding. While Girot’s four trace concepts organize ideas around approaching the site, there are three underlying principles that guide the entire body of work: 1. Landscape as infrastructure and organizing system; 2. Design as a process of discovery; 3. Investigation through multiple scales of inquiry. A strategy for the Fort Garry Campus is where this work concludes, followed by reflections on the importance of context in design and the lessons learned throughout the practicum process.

L’agroécologie implique la conception de systèmes agricoles intégrant autant que possible les services écosystémiques. Aux produits chimiques souvent employés contre les ravageurs de cultures peut être privilégié la régulation par leurs ennemis naturels. Des résultats en écologie indiquent que des paysages agricoles dont la composition est riche en habitats semi-naturels (bois, forets, prairies, etc) les favorisent en leur fournissant abris, sites de pontes et nourriture. Il serait donc possible de mettre en place une Gestion Paysagère des Ravageurs (GPR), c’est-à-dire de concevoir et d’aménager des paysages agricoles en faveur de ces habitats afin de favoriser les ennemis naturels et le contrôle biologique. Toutefois, l’implémentation d’une telle innovation potentielle par les acteurs de ces paysages reste largement à explorer. Dans cette thèse, dans un esprit de recherche-action, nous avons pris le parti d’explorer la conception de tels paysages régulateurs de ravageurs en s’impliquant avec des acteurs locaux et scientifiques. Nous avons initié une démarche de recherche participative avec des acteurs agricoles d’une région du Tarn-et-Garonne spécialisée dans l’arboriculture fruitière, intensive en traitements chimiques. A partir de leurs représentations et de leurs connaissances nous avons cherché à déterminer quels étaient les facteurs favorables ou non à la GPR. En particulier, nous avons qualifié les conditions dans lesquelles le paysage et les ennemis naturels étaient construit socialement par ces acteurs comme des ressources pourvoyeuses de services écosystémiques de régulation. Nous avons cherché également à identifier si ces acteurs étaient liés entre eux par des dépendances pouvant nécessiter une gestion coordonnée du paysage. Nous avons exploré la possibilité de la gestion paysagère par plusieurs cycles de modélisations participatives. La thèse a ainsi : mis à jour et qualifié la diversité des modèles mentaux des acteurs locaux sur leurs stratégies de gestion des ravageurs, co-construit des modèles Bayésien participatifs afin d’explorer via des scénarios les incertitudes autour de la question de la régulation biologique des ravageurs et, enfin, réalisé la coconstruction d’un modèle multi-agents autour de le la dynamique de population du ravageur invasif Drosophila suzukii et de sa potentielle gestion paysagère. Nous avons pu ainsi déterminer qu’en l’état actuel des représentations des acteurs, qu’ils soient scientifiques ou locaux, la composition du paysage en éléments semi-naturels leur apparaît comme faiblement reliée à un service écosystémique de régulation des ravageurs, quand bien même ce paysage est souvent favorable à la biodiversité fonctionnelle. Actuellement, faute de bénéfices agricoles clairement identifiés, les acteurs impliqués sont en conséquence peu dépendants entre eux et le besoin de se coordonner pour mettre en place une GPR est faible. La plupart des agriculteurs indiquent plutôt une nette préférence pour les solutions individuelles vis-à-vis des ravageurs, par l’utilisation de pesticides et de filets protecteurs entourant les cultures. Ce focus individuel suggère qu’innover dans l’intégration de l’activité des ennemis naturels pourrait être plus aisé au niveau de la végétation naturelle des exploitations individuelles, comme peut l’être l’inter-rang des vergers. Par ailleurs, ces résultats font apparaître le besoin d’études scientifiques liant écologie et économie qui chercheraient à mesurer explicitement les bénéfices obtenus par les acteurs agricoles par le biais de paysages favorables aux ennemis naturels. Des résultats positifs de telles études seraient mobilisateurs pour de futures recherches participatives dans ce domaine. Enfin, cette thèse participative et exploratoire nous a permis également d’identifier de nouveaux terrains et questions de recherches dans le domaine de la GPR qui pourront être poursuivis. / Agroecology requires the design of farming system integrating as much as possible ecosystem services. Biological control by natural enemies may substitute commonly used pesticides. Ecology findings demonstrate that farming landscapes with a high proportion of natural habitats (woods, forests meadows, etc) favor natural enemies by providing them shelter, nesting sites and food. Landscape Pest Control (LPC), i.e. the design of farming landscapes in favor of these habitats, may be implemented to foster natural enemies and biological pest control. However, how stakeholders may design such landscapes remains unexplored. In this PhD, we followed an action-research approach and explored the design of such pest regulating landscapes together with local and scientific stakeholders. We initiated a participatory approach with agricultural stakeholders in a part of the Tarn-et-Garonne region specialized in fruit production. Our research seeks to identify the factors in favor of a LPC according to stakeholders’ representations and knowledge. In particular, we qualified the conditions under which natural enemies and the landscape are socially constructed resources providing ecosystem services. We also seek to identify if these stakeholders were linked through dependencies which may necessitate a coordinated management of the landscape. We explored the possibility of a LPC through several cycle of participatory modelling. This PhD successively established mental models of local stakeholders about their pest control strategies, co-constructed participatory Bayesian models in order to explore uncertainties surrounding LPC, and finally we co-constructed an agent-based model about the population dynamic of the invasive pest Drosophila suzukii and its potential landscape management. Our results show that, according to scientific and local stakeholder’s actual representations, the composition of the landscape in natural habitats is weakly related with pest regulation ecosystem services, even though the landscape is related with higher functional biodiversity. Nowadays, as stakeholders see little benefit, they don’t consider to be dependent to benefit from an enhanced biological control through a LPC strategy. Farmers rather mention their preference towards individual solutions such as pesticides or exclusion nets surrounding their orchards. This individual focus suggests that designing innovation favorable to natural enemies might be more relevant within farms, like focusing on the vegetation between rows of fruit trees. Besides, these results show the need for scientific studies relating economics and ecology to explicitly measure the benefits farmers could obtain from a landscape favorable to natural enemies. Positive results of such study would enhance further participatory research around LPC strategies. Finally, this participatory and exploratory research identified new sites for investigation and raised questions about the LPC which could be further looked into.

Une alternative prometteuse à la lutte chimique pour la régulation des ravageurs de culture consiste à favoriser les populations de leurs prédateurs en jouant sur la structure du paysage agricole. L'identification de structures spatio-temporelles favorables aux ennemis naturels peut se faire par l'exploration de scénarios paysagers via une modélisation couplée de paysages et de dynamiques de population. Dans cette approche, les dynamiques de populations sont simulées sur des paysages virtuels aux propriétés structurales contrôlées, et l'observation des motifs de populations associés permet l'identification de structures favorables. La modélisation des dynamiques de populations repose cependant sur une connaissance fine des processus écologiques et de leur variabilité entre les différentes unités du paysage. L'état actuel des connaissances sur les mécanismes écologiques régissant les dynamiques des ennemis naturels de la famille des carabidés demeure l'obstacle majeur à la recherche in silico de scénarios paysagers favorables. La littérature sur les liens entre motifs de population de carabes et variables paysagères permet de formuler un ensemble d'hypothèses en compétition sur ces mécanismes. Réduire le nombre de ces hypothèses en analysant les convergences entre les motifs de population qui leur sont associés, et étudier la stabilité de ces convergences le long d'un gradient paysager apparaît comme une première étape nécessaire vers l'amélioration de la connaissance sur les processus écologiques. Dans une première partie, nous proposons une heuristique méthodologique basée sur la simulation de modèles de réaction-diffusion porteurs de ces hypothèses en compétition. L'étude des motifs de population a permis d'effectuer une typologie des modèles en fonction de leur réponse à une variable paysagère, via un algorithme de classification, réduisant ainsi le nombre d’hypothèses en compétition. La sélection de l'hypothèse la plus plausible parmi cet ensemble irréductible doit s'effectuer sur la base d'une observation des motifs de population sur le terrain. Cela implique que ces derniers soient caractérisés à des résolutions spatiales et temporelles suffisantes pour sélectionner une unique hypothèse parmi celles en compétition. Dans la deuxième partie, nous proposons une heuristique méthodologique permettant de déterminer a priori des stratégies d'échantillonnage maximisant la robustesse de la sélection d'hypothèses écologiques. Dans un premier temps, la simulation de modèles de réaction-diffusion représentatifs des hypothèses écologiques en compétition permet de générer des données biologiques virtuelles en tout point de l'espace et du temps. Ces données biologiques sont ensuite échantillonnées suivant des protocoles différant dans l'effort total d'échantillonnage, le nombre de dates, le nombre de points par unité d'espace et le nombre de réplicats de paysages. Les motifs des populations sont caractérisés à partir de ces échantillons. Le potentiel des stratégies d'échantillonnage est évalué via un algorithme de classification qui classe les modèles biologiques selon les motifs de population associés. L'analyse des performances de classification, i.e. la capacité de l'algorithme à discriminer les processus écologiques, permet de sélectionner un protocole d'échantillonnage optimal. Nous montrons également que la manière de distribuer l'effort d'échantillonnage entre ses composantes spatiales et temporelles est un levier majeur sur l'inférence des processus écologiques. La réduction du nombre d'hypothèses en compétition et l'aide à l'échantillonnage pour la sélection de modèles répondent à un besoin fort dans le processus d'acquisition de connaissances écologiques pour l'exploration in silico de scénarios paysagers favorisant des services écosystémiques. Nous discutons dans une dernière partie des implications de nos travaux et de leurs perspectives d'amélioration. / A promising alternative to the chemical control of pests consists in favoring their natural enemies populations by managing the agricultural landscape structure. Identifying favorable spatio-temporal structures can be performed through the exploration of landscape scenarios using coupled models of landscapes and population dynamics. In this approach, population dynamics are simulated on virtual landscapes with controlled properties, and the observation of population patterns allows for the identification of favorable structures. Population modeling however relies on a good knowledge about the ecological processes and their variability within the landscape elements. Current state of knowledge about the ecological mechanisms underlying natural enemies’ of the carabid family population dynamics remains a major obstacle to in silico investigation of favorable landscape scenarios. Literature about the relationship between carabid population and landscape properties allows the formulation of competing hypotheses about these processes. Reducing the number of these hypotheses by analyzing the convergence between their associated population patterns and investigating the stability of their convergence along a landscape gradient appears to be a necessary tep towards a better knowledge about ecological processes. In a first step, we propose a heuristic method based on the simulation of reaction-diffusion models carrying these competing hypotheses. Comparing the population patterns allowed to set a model typology according to their response to the landscape variable, through a classification algorithm, thus reducing the initial number of competing hypotheses. The selection of the most likely hypothesis from this irreducible set must rely on the observation of population patterns on the field. This implies that population patterns are described with spatial and temporal resolutions that are fine enough to select a unique hypothesis among the ones in competition. In the second part, we propose a heuristic method that allows determining a priori sampling strategies that maximize the robustness of ecological hypotheses selection. The simulation of reaction-diffusion models carrying the ecological hypotheses allows to generate virtual population data in space and time. These data are then sampled using strategies differing in the total effort, number of sampling locations, dates and landscape replicates. Population patterns are described from these samples. The sampling strategies are assessed through a classification algorithm that classifies the models according to the associated patterns. The analysis of classification performances, i.e. the ability of the algorithm to discriminate the ecological processes, allows the selection of optimal sampling designs. We also show that the way the sampling effort is distributed between its spatial and temporal components is strongly impacting the ecological processes inference. Reducing the number of competing ecological hypotheses, along with the selection of sampling strategies for optimal model inference both meet a strong need in the process of knowledge improvement about the ecological processes for the exploration of landscape scenarios favoring ecosystem services. In the last chapter, we discuss the implications and future prospects of our work.

Globally, ecosystems provide services of almost twice the value of global gross national product (Costanza et al., 2006). The Buffalo City Municipality (BCM), South Africa contains biodiversity of national and international importance (Pierce, 2003; Pierce et al., 2005). Despite this, the municipality continues to experience loss of both urban and rural biodiversity (Buffalo City Municipality, 2006a). This study sought to determine the status of biodiversity, and the potential for ecosystem services to contribute to conservation, within the BCM. Biodiversity features, including ecosystem type, species of special concern and biodiversity processes, were identified and mapped using a GIS to produce a biodiversity priority index for the BCM. Current transformation status was then mapped to determine the level of ecosystem degradation within the BCM. Priority biodiversity areas as well as individual biodiversity features were spatially overlain against current transformation status and protected areas and analysed using a GIS to determine the level of degradation and protection of BCM biodiversity. In total 3.5 % of total BCM biodiversity was protected. Of the 24 ecosystem types, 11 (45%) had less than 1% under protection, while 16 (67%) had less than five percent protected. Not restorable areas, thus completely lost to biodiversity conservation, comprised just less than a quarter of the total BCM area while un-impacted areas comprised just 12.3%. Twenty five ecosystem services were identified as being provided by intact natural ecosystems within the BCM. The natural capital providing these services was identified and mapped to produce an ecosystem service index (ESI) using a GIS. This ecosystem service index and the biodiversity priority index were overlain to determine their level of correlation. Overall ESI correlation with priority biodiversity was weak although several individual ecosystem services, including carbon sequestration, showed correlation. Using the above data layers an implementation plan and conservation framework was proposed to assist the coordination of local conservation action within the BCM. It is concluded that ecosystem services are a potentially useful tool for conservationists at the local level seeking to ensure that biodiversity has relevance to and receives protection from broader society.

Les changements environnementaux globaux (CEG) menacent les écosystèmes marins et les populations humaines qui en dépendent. Une recherche scientifique croissante tente d’évaluer les impacts des changements environnementaux sur les écosystèmes et les services écosystémiques, notamment pour guider les politiques publiques. Focalisée sur les systèmes socio-écologiques (SSE) des récifs coralliens, cette thèse analyse les approches proposées dans la littérature et conçoit de nouvelles méthodologies, évaluations et indicateurs pour guider la science et l’action publique. Nous montrons qu’une stratégie de recherche régionale doit prendre en compte la complexité et produire de meilleures projections des impacts des CEG sur les récifs coralliens et les services associés. Nous cartographions des indicateurs à l’échelle globale pour évaluer où la dépendance des sociétés aux récifs coralliens sera affectée par les menaces globales dues à un niveau de CO2 élevé. Nous analysons comment la science répond aux impacts des CEG sur les récifs coralliens et nous identifions des pistes pour la recherche. Enfin, nous opérationnalisons une facette de la vulnérabilité, la capacité d’adaptation écologique, pour servir d’outil pour évaluer l’effectivité des actions locales dans un contexte de CEG. Ce manuscrit contribue à des avancées théoriques et méthodologiques sur l’évaluation des impacts, de la vulnérabilité et de l’adaptation aux CEG. Il développe des approches interdisciplinaires pour l’étude des SSE et des services écosystémiques, ciblant les récifs coralliens comme étude de cas. Enfin, il analyse l’émergence d’un champ scientifique sur les solutions aux GEC pour les récifs coralliens. / Global environmental change (GEC) in the ocean threatens marine ecosystems and the people who depend on them. A growing scientific effort is attempting to evaluate the impacts of environmental changes on ecosystems and ecosystem services and guide policy-making to respond to this global issue. Focusing on social-ecological systems of coral reefs, this thesis critically reviews the approaches put forward in the literature to understand gaps and to design new methodologies, assessments, and indicators to guide science and policy. Our findings show that a regionally targeted strategy of research should address complexity and provide more realistic projections about the impacts of GEC on coral reefs ecosystems and ecosystem services. We map global-scale indicators to understand where human dependence on coral reef ecosystems will be affected by globally-driven threats expected in a high-CO2 world. We then analyze how science is responding to the challenge posed by GEC on coral reefs and to identify gaps in research.Finally, we attempt to operationalize an overlooked component of vulnerability assessments, ecological adaptive capacity, to serve as a tool to help assess where local actions can be effective in the context of climate change. This manuscript contributes to theoretical and methodological advances to evaluate impacts, vulnerability and adaptation to GEC. It develops interdisciplinary approaches for the study of social-ecological systems and ecosystem services, targeting coral reefs as a case study. Finally, it synthesizes critically the emergence of a scientific field on solutions to GEC for coral reef social-ecological systems.

Cette thèse porte sur la résolution de problèmes de décision séquentielle sous incertitude,modélisés sous forme de processus décisionnels de Markov (PDM) dont l’espace d’étatet d’action sont tous les deux de grande dimension. La résolution de ces problèmes avecun bon compromis entre qualité de l’approximation et passage à l’échelle est encore unchallenge. Les algorithmes de résolution dédiés à ce type de problèmes sont rares quandla dimension des deux espaces excède 30, et imposent certaines limites sur la nature desproblèmes représentables.Nous avons proposé un nouveau cadre, appelé PDMF3, ainsi que des algorithmesde résolution approchée associés. Un PDMF3 est un processus décisionnel de Markov àespace d’état et d’action factorisés (PDMF-AF) dont non seulement l’espace d’état etd’action sont factorisés mais aussi dont les politiques solutions sont contraintes à unecertaine forme factorisée, et peuvent être stochastiques. Les algorithmes que nous avonsproposés appartiennent à la famille des algorithmes de type itération de la politique etexploitent des techniques d’optimisation continue et des méthodes d’inférence dans lesmodèles graphiques. Ces algorithmes de type itération de la politique ont été validés sur un grand nombre d’expériences numériques. Pour de petits PDMF3, pour lesquels la politique globale optimale est disponible, ils fournissent des politiques solutions proches de la politique globale optimale. Pour des problèmes plus grands de la sous-classe des processus décisionnels de Markov sur graphe (PDMG), ils sont compétitifs avec des algorithmes de résolution de l’état de l’art en termes de qualité. Nous montrons aussi que nos algorithmes permettent de traiter des PDMF3 de très grande taille en dehors de la sous-classe des PDMG, sur des problèmes jouets inspirés de problèmes réels en agronomie ou écologie. L’espace d’état et d’action sont alors tous les deux de dimension 100, et de taille 2100. Dans ce cas, nous comparons la qualité des politiques retournées à celle de politiques expertes. Dans la seconde partie de la thèse, nous avons appliqué le cadre et les algorithmesproposés pour déterminer des stratégies de gestion des services écosystémiques dans unpaysage agricole. Les adventices, plantes sauvages des milieux agricoles, présentent desfonctions antagonistes, étant à la fois en compétition pour les ressources avec la cultureet à la base de réseaux trophiques dans les agroécosystèmes. Nous cherchons à explorerquelles organisations du paysage (ici composé de colza, blé et prairie) dans l’espace etdans le temps permettent de fournir en même temps des services de production (rendementen céréales, fourrage et miel), des services de régulation (régulation des populationsd’espèces adventices et de pollinisateurs sauvages) et des services culturels (conservationd’espèces adventices et de pollinisateurs sauvages). Pour cela, nous avons développé unmodèle de la dynamique des adventices et des pollinisateurs et de la fonction de récompense pour différents objectifs (production, maintien de la biodiversité ou compromisentre les services). L’espace d’état de ce PDMF3 est de taille 32100, et l’espace d’actionde taille 3100, ce qui en fait un problème de taille conséquente. La résolution de ce PDMF3 a conduit à identifier différentes organisations du paysage permettant d’atteindre différents bouquets de services écosystémiques, qui diffèrent dans la magnitude de chacune des trois classes de services écosystémiques. / This PhD thesis focuses on the resolution of problems of sequential decision makingunder uncertainty, modelled as Markov decision processes (MDP) whose state and actionspaces are both of high dimension. Resolution of these problems with a good compromisebetween quality of approximation and scaling is still a challenge. Algorithms for solvingthis type of problems are rare when the dimension of both spaces exceed 30, and imposecertain limits on the nature of the problems that can be represented.We proposed a new framework, called F3MDP, as well as associated approximateresolution algorithms. A F3MDP is a Markov decision process with factored state andaction spaces (FA-FMDP) whose solution policies are constrained to be in a certainfactored form, and can be stochastic. The algorithms we proposed belong to the familyof approximate policy iteration algorithms and make use of continuous optimisationtechniques, and inference methods for graphical models.These policy iteration algorithms have been validated on a large number of numericalexperiments. For small F3MDPs, for which the optimal global policy is available, theyprovide policy solutions that are close to the optimal global policy. For larger problemsfrom the graph-based Markov decision processes (GMDP) subclass, they are competitivewith state-of-the-art algorithms in terms of quality. We also show that our algorithmsallow to deal with F3MDPs of very large size outside the GMDP subclass, on toy problemsinspired by real problems in agronomy or ecology. The state and action spaces arethen both of dimension 100, and of size 2100. In this case, we compare the quality of thereturned policies with the one of expert policies. In the second part of the thesis, we applied the framework and the proposed algorithms to determine ecosystem services management strategies in an agricultural landscape.Weed species, ie wild plants of agricultural environments, have antagonistic functions,being at the same time in competition with the crop for resources and keystonespecies in trophic networks of agroecosystems. We seek to explore which organizationsof the landscape (here composed of oilseed rape, wheat and pasture) in space and timeallow to provide at the same time production services (production of cereals, fodder andhoney), regulation services (regulation of weed populations and wild pollinators) andcultural services (conservation of weed species and wild pollinators). We developed amodel for weeds and pollinators dynamics and for reward functions modelling differentobjectives (production, conservation of biodiversity or trade-off between services). Thestate space of this F3MDP is of size 32100, and the action space of size 3100, which meansthis F3MDP has substantial size. By solving this F3MDP, we identified various landscapeorganizations that allow to provide different sets of ecosystem services which differ inthe magnitude of each of the three classes of ecosystem services.

No description available.

Cities must go further and further away to find new, more costly sources of water for human consumption while industries and agriculture continue to compete for increasingly scarce water resources. This may already be seen occurring within the Nelson Mandela Bay Metro where the severe drought being experienced during the past 18 months has severely depleted water supply dams. One of the main supply dams to the Nelson Mandela Bay Municipality is situated within the Baviaanskloof Nature Reserve and World Heritage Site. The potential of funding the Baviaanskloof Nature Reserve and World Heritage Site with payments for ecosystem services (water) obtained for water services supplied to the Nelson Mandela Bay Municipalities and agriculture in the Gamtoos River Valley will ensure financial sustainable for the Baviaanskloof Nature Reserve and World Heritage Site in the long term. This ability to become financially independent and generate its own income will place the Baviaanskloof Nature Reserve and World Heritage Site in a unique position within the conservation community in South Africa as only a very few protected areas are self sustaining through payment for an ecosystem service.

On the frontier of biodiversity-rich tropical forests, how land is used has an important role in buffering the primary ecosystem. Unsustainable small-scale cattle farming endangers soil quality and degrades the landscape. Silvopasture is a type of agroforestry that provides both ecological and livelihood benefits. A number of projects have been implemented across the tropics to encourage silvopasture adoption, with varying success. This dissertation questions the reasons for variable outcomes among participants within these projects: what motivates smallholders to adopt innovative land-use practices, and what form of incentives may help to overcome obstacles and catalyse adoption. This dissertation contributes to the ongoing debate on payments for ecosystem services, specifically about their suitability and effectiveness. To understand what influences decisions to adopt sustainable land-use practices, I review systematically and quantitatively the literature on adoption predictors, and I empirically analyse participation and short-term adoption in a pilot project for planting fodder trees in the border of a protected forest in Chiapas, Mexico, using primary and secondary data. I focus on subjective perspectives and livelihood strategies of actual and potential participants as explanatory variables, which have received unduly scarce attention in past studies. This lack of attention is partially caused by the difficulties of operationalising internal variables. I address this challenge by developing an analytical approach that increases the precision of the resulting perspectives in Q methodology. I cluster livelihood strategies and model adoption. This in-depth case-study suggests the type of incentives that are adequate to encourage adoption of sustainable land-use practices. Results indicate that payments may not be the best incentive for pioneer adopters, and that the adoption process is composed of separate individual steps, which are influenced distinctly by identifiable predictors, such as livelihood diversity. Uncovering this heterogeneity of motivations towards adoption provides useful knowledge for designing more effective external policy interventions.