La gouvernance pour le développement durable comporte de nombreux défis. L'un de ces défis consiste à mieux comprendre les systèmes socio-écologiques gouvernés. Dans de tels systèmes, l'apprentissage par essais et erreurs implique le risque de conséquences inattendues, irréversibles et néfastes. De plus, en raison de la complexité des systèmes socio-écologiques, les leçons tirées d'expériences à petite échelle ne peuvent pas toujours être applicables à des problèmes à grande échelle. Un autre aspect difficile des problèmes de développement durable est que ces problèmes sont souvent multidisciplinaires et composés de composants qui sont chacun étudiés individuellement dans une discipline différente, mais il existe peu d'informations sur leur comportement ensemble. Un troisième défi de la gouvernance pour le développement durable est qu'il est souvent nécessaire d'impliquer les parties prenantes dans des actions de gestion et des mesures d'intervention coûteuses pour les individus qui y participent. De plus, dans de nombreuses situations de ce type, les incitations financières et l'application des réglementations se soldent par un échec et ne constituent donc pas des options de gouvernance. Dans cette thèse, les défis ci-dessus sont abordés dans un exemple de contrôle des perturbations forestières avec une approche intégrée. Pour éviter le problème des effets indésirables irréversibles et pour permettre des expériences répétées, une approche de simulation est utilisée. Pour relever le défi de la multidisciplinarité des problèmes des systèmes socio-écologiques, deux modèles sont développés indépendamment - portant sur les aspects sociaux et écologiques du système de l'étude - et ils sont ensuite couplés de telle sorte que la sortie de chaque modèle est utilisée comme entrée pour l'autre modèle. Pour résoudre le problème de l'engagement des parties prenantes, un plan est proposé pour la promotion d'un comportement respectueux de l'environnement. Ce plan est basé sur l'offre de reconnaissance à ceux qui adoptent volontairement le comportement responsable. Le modèle écologique de cette étude, qui simule la propagation d'une perturbation forestière, est construit à l'aide de l’apprentissage automatique supervisé. Le modèle social de cette étude, qui simule l'émergence d'une nouvelle norme de comportement, est construit à l'aide de l'apprentissage par renforcement. Les deux modèles sont testés et validés avant couplage. Le modèle couplé est ensuite utilisé comme un laboratoire virtuel, où plusieurs expériences sont réalisées dans un cadre hypothétique et selon différents scénarios. Chacune de ces expériences est une simulation. A travers ces simulations, cette étude montre qu'avec un algorithme de prise de décision approprié et avec suffisamment de temps pour l'interaction entre une entité gouvernante et la société, il est possible de créer une motivation pour un comportement responsable dans la société. En d'autres termes, il est possible d'encourager la participation volontaire des acteurs à l'action pour le développement durable, sans que l'entité gouvernante ait besoin d'utiliser des incitations financières ou d'imposer son autorité. Ces résultats peuvent être applicables à d'autres contextes où un comportement responsable des individus ou des entreprises est recherché afin d'atténuer l'impact d'une perturbation, de protéger une ressource écologique, ou de faciliter une transition sectorielle vers la durabilité. / Governance for sustainable development involves many challenges. One of those challenges is to gain insight about the social-ecological systems being governned. In such systems, learning by trial and error involve the risk of unexpected, irreversible and adverse consequences. Moreover, due to complexity of social-ecological systems, lessons learned from small scale experiments may not be applicable in large-scale problems. Another challenging aspect of problems of sustainable development is that these problems are often multidisciplinary and comprised of components that are each studied individually in a different discipline, but little information exists about their behavior together as a whole. A third challenge in governance for sustainable development is that often it is necessary to involve stakeholders in management actions and intervention measures that are costly for individuals who participate in them. Moreover, in many of these situations financial incentives or enforcement of regulations result in failure, and are thus not options for governance. In this thesis, the above challenges are addressed in an example case of forest disturbance control with an integrated approach. To avoid the problem of irreversible adverse effects and to allow repeated experiments, a simulation approach is used. To tackle the challenge of multidisciplinarity of problems of social-ecological systems, two models are independently developed – pertaining to social and ecological aspects of the system of the study – and they are subsequently coupled in such a way that the output of each model served as an input for the other. To address the problem of engagement of stakeholders, a scheme is proposed for promotion of environmentally responsible behavior. This scheme is based on offering recognition to those who voluntarily perform the responsible behavior. The ecological model of this study, which simulates the spread of a forest disturbance, is built using Supervised Machine Learning. The social model of this study, which simulates the emergence of a new norm of behavior, is built using Reinforcement Learning. Both models are tested and validated before coupling. The coupled model is then used as a virtual laboratory, where several experiments are performed in a hypothetical setting and under various scenarios. Each such experiment is a simulation. Through these simulations, this study shows that with an appropriate decision-making algorithm and with sufficient time for interaction between a governing entity and the society, it is possible to create motivation for responsible behavior in the society. In other words, it is possible to encourage voluntary participation of stakeholders in action for sustainable development, without the need for the governing entity to use financial incentives or impose its authority. These results may be applicable to other contexts where responsible behavior by individuals or enterprises is sought in order to mitigate the impact of a disturbance, protect an ecological resource, or facilitate a sectoral transition towards sustainability.

Temporary closures of octopus fishing areas constitute a promising co-management measure that aims to improve local governance, food security and incomes in coastal small-scale fishing communities. Although positive social and economic outcomes of temporary closures are increasingly reported, the underlying social-ecological and ecological interactions, and their impact on closure benefits are rarely studied. This lack of systemic understanding may lead to undesired outcomes. Here, I extend an existing agent-based model of temporary closures to explore the influence of individual octopus movements on ecological outcomes and fishers’ benefits in Zanzibar. First, I conceptualized the octopus closure system by analyzing empirical qualitative data and literature. Next, I iteratively developed and tested an individual-based model extension. This extension simulates between-den movements across a hypothetical seascape and formalizes intrinsic attributes of Octopus cyanea such as movement patterns and maturity stages. I analyzed the effects of varying closure size of fishing grounds temporarily closed to illustrate potential implications for outcomes of octopus closures. Simulation results show that individual octopus movements triggered by fishing activities have noticeable impacts on octopus sizes, their spatial and temporal distribution, and fishers’ catches, particularly when considering different social groups that depend on the fishery. Scenarios with closures in place show higher mean octopus weight in closed areas in contrast to open-access areas. Mean catches for women foot-fishers are lower compared to freedivers’ catches and even slightly lower when allowing octopuses to move in response to disturbance in all scenarios. Catch rates and distribution of mature octopuses are highly sensitive to closure size revealing a social-ecological trade-off when implementing larger closures. This study demonstrates an approach to integrating individual octopus movements and interactions between fishers and octopuses in a fishery management context, and suggests that reactive movement of octopus contributes to unequal distribution of the closure benefits between different social groups. / Octopus and People In Novel Transdisciplinary Simulations (OctoPINTS project)

The Rights of Nature is a relatively new approach to sustainable development, promoting that current environmental legislation is insufficient to protect Nature from human harm. The Rights of Nature movements emphases the importance of recognizing other living entities in our legal system. Ecuador was the first country in the world to incorporate the Rights of Nature into its Constitution in 2008. Based on semi-structured interviews, this study aims to investigate the awareness of the Rights of Nature among the inhabitants of the Equatorian small-town of Esperie and how they perceive and relate to the Rights of Nature in practice and whether the implementation has brought about any changes in their lives and community. The central findings of the study demonstrate that the majority of the respondents are aware of the Rights of Nature, also led to changes in society but also in respondents' lives and environment. The results also revealed various challenges that have arisen in the implementation of the Rights of Nature in practice and Due to stricter environmental laws and pressure from the people, the authorities have started to take measures to protect and respect Nature.

While adaptation to climate change is important, resilience thinking is the next step toward development of the adaptive capacity and transformability of structures in society in the face of ongoing climate related problems. Municipalities in Sweden have been struggling with adaptation in various degrees since this term has been used in practice since 2010. But there is more happening underneath the formal structures than we can imagine. Surprising developments have been detected through this project which was aimed at following up how municipalities are working with climate adaptation and resilience. Even though climate adaptation per se, is not implemented as such, as a program, plan or strategy. The internal bottom-up actions taken through terrific communication between departments, and through ambitious and well-educated staff and above that, informal transdisciplinary coordination of information. Are all components which indeed go above and beyond the term of climate adaptation. Thus, moving into the spheres of resilience thinking in social-ecological systems.

Amsterdam and Dhaka are two cities that represent the global north and the global south respectively. Both cities are, because of climate change, prone to heavy rain that can lead to flooding. Due to the fact that global north and global south are facing different challenges when it comes to implementing urban resilience, in combination with lack understanding of how policy of urban resilience is created, it leads to question if the global north and global south differ regarding their understanding of urban resilience. The purpose of this study was therefore to compare narratives of urban resilience in Amsterdam and Dhaka to explore if the understanding of urban resilience in various documents differ between the global north and global south. Therefore, the study aimed to provide an understanding of whether who describes urban resilience is important for how urban resilience is presented. This study applied socio-ecological theory to explain whether the strategies implemented can be characterized as transformative or adaptive approach to urban resilience. Further, the study was conducted using qualitative narrative analysis. Finally, this study shows that narrative of urban resilience differs between Amsterdam and Dhaka, which indicates that the narrator has an impact on the presentation of urban resilience. The study also shows that narrative of urban resilience has an impact on which strategies are employed. Finally, power also plays an important role in crisis management.

Plastics pollution is a global planetary threat to both humans and the environment, leading to injustice throughout its lifecycle and disproportionately affecting the most vulnerable. The United Nations Environmental Assembly adopted Resolution 5/14 to create a legally binding instrument to end plastics pollution, known colloquially as the Plastics Treaty. The treaty is currently under negotiation, and the implicit understandings of justice that will be incorporated will significantly impact the outcome of the treaty. This thesis employs critical discourse analysis and key stakeholder interviews to examine the various justice narratives and framings of actors in the treaty through an environmental justice lens. Additionally, the role of power in shaping these narratives is examined from a critical and decolonial perspective. My research demonstrates the value of a critical approach in addressing power dynamics and normative concepts such as justice in social-ecological and sustainability research. This study identifies three distinct discourses, each offering different problematizations of plastics and justice framings. The analysis reveals competing definitions of just transition, a disconnect between the recognition of Indigenous Knowledge and the rights of Indigenous People, and underdeveloped gender and intersectional considerations. Furthermore, this thesis highlights the enduring influence of colonial dynamics on plastics pollution, potentially reinforcing waste colonial relations in the Plastics Treaty. Finally, this thesis contends that problematizing plastics as a human rights issue offers a valuable approach to address these shortcomings, thereby enhancing the treaty's potential for promoting justice by ensuring that the voices of those most affected are heard.

Kollektives Handeln ist erforderlich um nachhaltige Entwicklungspfade in gekoppelten sozial-ökologischen Systemen zu erschließen, fernab von gefährlichen Kippelementen. Ohne anderen Modellierungsprinzipien ihren Nutzen abzuerkennen, schlägt diese Dissertation die Agent-Umwelt Schnittstelle als die mathematische Grundlage für das Modellieren sozial-ökologischer Systeme vor. Zuerst erweitert diese Arbeit eine Methode aus der Literatur der statistischen Physik über Lerndynamiken, um einen deterministischen Grenzübergang von etablierten Verstärkungslernalgorithmen aus der Forschung zu künstlicher Intelligenz herzuleiten. Die resultierenden Lerndynamiken zeigen eine große Bandbreite verschiedener dynamischer Regime wie z.B. Fixpunkte, Grenzzyklen oder deterministisches Chaos. Zweitens werden die hergeleiteten Lerngleichungen auf eine neu eingeführte Umwelt, das Ökologisches Öffentliches Gut, angewendet,. Sie modelliert ein gekoppeltes sozial-ökologisches Dilemma und erweitert damit etablierte soziale Dilemmaspiele um ein ökologisches Kippelement. Bekannte theoretische und empirische Ergebnisse werden reproduziert und neuartige, qualitativ verschiedene Parameterregime aufgezeigt, darunter eines, in dem diese belohnungsoptimierenden Lern-Agenten es vorziehen, gemeinsam unter einem Kollaps der Umwelt zu leiden, als in einer florierenden Umwelt zu kooperieren. Drittens stellt diese Arbeit das Optimierungsparadigma der Lern-Agenten in Frage. Die drei Entscheidungsparadimen ökonomischen Optimierung, Nachhaltigkeit und Sicherheit werden systematisch miteinander verglichen, während sie auf das Management eines umweltlichen Kippelements angewendet werden. Es wird gezeigt, dass kein Paradigma garantiert, Anforderungen anderer Paradigmen zu erfüllen, sowie dass das Fehlen eines Meisterparadigmas von besonderer Bedeutung für das Klimasystem ist, da dieses sich am Rand zwischen Parameterbereichen befinden kann, wo ökonomische Optimierung weder nachhaltig noch sicher wird. / Collective action is required to enter sustainable development pathways in coupled social-ecological systems, safely away from dangerous tipping elements. Without denying the usefulness of other model design principles, this thesis proposes the agent-environment interface as the mathematical foundation for the design of social-ecological system models. First, this work refines techniques from the statistical physics literature on learning dynamics to derive a deterministic limit of established reinforcement learning algorithms from artificial intelligence research. Illustrations of the resulting learning dynamics reveal a wide range of different dynamical regimes, such as fixed points, periodic orbits and deterministic chaos. Second, the derived multi-state learning equations are applied to a newly introduced environment, the Ecological Public Good. It models a coupled social-ecological dilemma, extending established repeated social dilemma games by an ecological tipping element. Known theoretical and empirical results are reproduced and novel qualitatively different parameter regimes are discovered, including one in which these reward-optimizing agents prefer to collectively suffer in environmental collapse rather than cooperating in a prosperous environment. Third, this thesis challenges the reward optimizing paradigm of the learning equations. It presents a novel formal comparison of the three decision paradigms of economic optimization, sustainability and safety for the governance of an environmental tipping element. It is shown that no paradigm guarantees fulfilling requirements imposed by another paradigm. Further, the absence of a master paradigm is shown to be of special relevance for governing the climate system, since the latter may reside at the edge between parameter regimes where economic welfare optimization becomes neither sustainable nor safe.

Die Doktorarbeit untersucht, wie sich Mensch-Umwelt-Interaktionen am Beispiel von Abholzung und Landnutzungsänderungen im Amazonas analysieren und modellieren lassen. Die Abholzung tropischer Wälder bedroht die Stabilität artenreicher Ökosysteme, lokaler Wettergeschehen und des globalen Klimas. Drei Hauptteile erforschen das Thema mit Konzepten der theoretischen Physik und Netzwerktheorie. Der erste Teil gibt einen kritischen Überblick über Modellansätze, die Entscheidungen und menschliches Verhalten beschreiben. Agentenbasierte Netzwerkmodelle ergeben sich als vielversprechender Ansatz um sozial-ökologische Systeme zu modellieren. Der zweite Teil identifiziert Muster in satellitengestützten Landbedeckungsdaten im brasilianischen Amazonas. Basierend auf der Theorie der Markov-Ketten werden Übergangsraten zwischen verschiedenen Typen von Landbedeckung berechnet und Übergangsmatrizen für Teilgebiete mit Clusteralgorithmen verglichen. Angrenzende Teilgebiete weisen ähnliche Übergänge auf. Die identifizierten Cluster decken sich mit Erkenntnissen aus Feldstudien. Auf Grundlage der geschätzten Übergangsrate ergeben sich Projektionen für die Entwicklung der Landbedeckungsanteile. Der dritte Teil entwickelt ein agentenbasiertes Modell um zu untersuchen, unter welchen Bedingungen die Intensivierung der Viehhaltung im Amazonas die Abholzung reduzieren kann. Das Modell kombiniert ökologische, ökonomische und soziale Prozesse und modelliert Landnutzungsstrategien mit Heuristiken. Die Modellanalyse zeigt, dass eine Intensivierung die Abholzung nur dann verringert, wenn der lokale Viehmarkt saturiert. Unter anderen ökonomischen Bedingungen kann Intensivierung die Abholzung erhöhen. Die Arbeit demonstriert, dass eine Kombination von Methoden aus der Theorie komplexer Systeme mit sozialwissenschaftlichen Theorien zu einem besseren Verständnis der emergenten Dynamik sozial-ökologischer Systeme führen kann – eine Grundvoraussetzung, um solche Systeme nachhaltig zu bewirtschaften. / This thesis investigates how to model and analyze human-nature interactions using the example of deforestation and land-use change in the Brazilian Amazon. Deforestation of tropical forests threatens the stability of species-rich ecosystems, local weather patterns, and global climate. The three main parts of the thesis study different aspects of this topic using concepts from theoretical physics and network theory. The first part reviews modeling approaches to human decision making and behavior. From the review, networked agent-based models emerge as promising tools to capture the dynamics of social-ecological systems such as the land system. The second part of the thesis combines Markov-chain and cluster analyses to detect patterns in satellite-derived land-cover maps of the Brazilian Amazon. I compute transition rates between different land-cover types and apply clustering algorithms to find spatial patterns. The analysis shows that neighboring subregions undergo similar transitions and identifies clusters corresponding to findings from field surveys. Markov-chain models, parameterized with the transition rates, are used to compute land-cover projections. In the third part, I develop an agent-based model to investigate under which conditions the intensification of cattle ranching can reduce deforestation in the Amazon. The model captures stylized environmental, economic, as well as social processes, and uses heuristic decision theory to represent different land management strategies. A detailed analysis reveals that fast intensification can only lower deforestation rates if local cattle markets saturate. Under other economic conditions intensification may increase deforestation. The contributions of this thesis demonstrate that combining modeling tools from complexity science with social-science theories allow better understanding the emergent dynamics of social-ecological systems, which is a prerequisite for their sustainable management.

Der Rückgang der Wildtiere kann Ökosysteme tiefgreifend verändern und das Risiko von Ernährungsunsicherheit und neu auftretenden Krankheiten erhöhen, die wiederum die globale Gesundheit, Gesellschaft und Wirtschaft bedrohen. Aufbauend auf dem theoretischen Überbau des Konzepts komplexer sozial-ökologischer Systeme untersuche ich in dieser Dissertation die Jagd und den Wildtierhandel in einem ganzheitlichen, differenzierten und skalensensitiven Ansatz. Dabei untersuche ich die Ursachen der Wildtiernutzung auf verschiedenen Ebenen (z.B. Nutzergruppen) und Skalen (lokal, global). Ich untersuchte ein lokales Umfeld durch eine Fallstudie um den Taï-Nationalpark in der Elfenbeinküste, indem ich 348 Jäger, 202 Buschfleischhändler, 190 Restaurantbesitzer und 985 Verbraucher in 47 städtischen und ländlichen Siedlungen befragte. Darüber hinaus untersuchte ich mithilfe von 114 persönlichen Interviews mit Nationalparkdirektoren in 25 afrikanischen und europäischen Ländern die Ausprägung der Jagd über den sozioökonomisch und ökologisch kontrastreichen globalen Süd-Nord-Gradienten. Die lokale Fallstudie zeigte die Heterogenität der Wildfleisch-Warenkette, in der mehrere Akteure Wildfleisch und verschiedene Taxa aus unterschiedlichen wirtschaftlichen, kulturellen oder ernährungsbedingten Beweggründen nutzen. Die globale Perspektive zeigte die sich verändernden Erscheinungsformen und Gründe für die Jagd entlang des globalen Süd-Nord-Gradienten. Im Süden überwog die illegale und kommerzielle Jagd auf Pflanzenfresser, während im Norden die legale, kulturell und sozial motivierte Jagd auf Huftiere und die illegale Jagd auf Raubtiere außerhalb von Parkgrenzen dominierte. Die Einbindung lokaler Gemeinschaften und die Berücksichtigung universeller Mechanismen menschlicher Kooperation könnte dem Naturschutz und der sozialen Gerechtigkeit zugutekommen. Nichtsdestotrotz verdeutlichen die Auswirkungen großräumiger Faktoren auf lokale Systeme die Notwendigkeit, gut umgesetzte lokale Maßnahmen mit einer angemessenen globalen Governance zu kombinieren, um den Raubbau an der Natur einzudämmen. / Declining wildlife can profoundly alter ecosystems and increase the risks of food insecurity and emerging diseases that threaten global health, societies, and economies. Building on the theoretical superstructure of complex social-ecological systems, I examine wildlife trade in a holistic, differentiated, and scale-sensitive approach, exploring the causes of wildlife use at different levels (e.g. user groups) and scales (local, global). I examined a local setting through a case study around Taï National Park in Côte d'Ivoire by interviewing 348 hunters, 202 bushmeat traders, 190 restaurant owners, and 985 consumers in 47 urban and rural settlements. Furthermore, I investigated the manifestation of hunting across the Global South-North gradient through 114 face-to-face interviews with national park directors in 25 African and European countries. The local case study revealed the heterogeneity of the wild meat commodity chain, in which multiple actors use wild meat and different taxa for varying economic, cultural, or nutritional motivations. The global perspective revealed the shifting manifestations and reasons for hunting along the Global South-North gradient. Illegal, commercial hunting of herbivores prevailed in the South, while legal, culturally-, and socially-motivated hunting of ungulates and the illegal pursuit of predators outside park boundaries were common in the North. Engaging local communities and incorporating universal mechanisms of human cooperation into conservation could benefit conservation and social justice. The impacts of large-scale drivers on local systems highlight the need for combining well-implemented local action and appropriate global governance to curb wildlife overexploitation

Angesichts der weltweit zunehmenden Zerstörung von Ökosystemen spielen ökologisch wirksame und sozial gerechte Umweltschutzinstrumente eine wichtige Rolle. Zahlungen für Ökosystemleistungen (Payments for Ecosystem Services, PES) finden zunehmend Anwendung. Sie dienen als freiwillige und konditionale Anreize für die Bereitstellung von Ökosystemleistungen. Einige dieser PES-Verträge werden mit lokalen Gemeinschaften abgeschlossen, die die Vertragsbedingungen gemeinsam erfüllen (Collective PES, C-PES). Während diese Programme einerseits als Chance für einen erfolgreichen Umweltschutz gesehen werden, wird zum anderen befürchtet, dass sich die Einführung von Marktprinzipien negativ auf lokale Gemeinschaften auswirkt. Vor diesem Hintergrund widmet sich die Dissertation der Frage, inwieweit C-PES-Programme die sozial-ökologische Transformation in Richtung Nachhaltigkeit fördern oder erschweren. Paper I gibt einen literaturgestützten Überblick über Definitionen und Systematisierungen von Kommodifizierungsprozessen und deren sozial-ökologische Auswirkungen. Basierend auf einem im ersten Paper entwickelten Framework werden in Paper II 29 C-PES-Programme weltweit hinsichtlich ihres ökosystemleistungsbezogenen Kommodifizierungsgrades untersucht. Paper III fokussiert auf Mensch-Wildtier-Konflikte im Zusammenhang mit einem Schutzprogramm für Vielfraße und Luchse im Kontext indigener Samen-Gemeinschaften in Schweden. Insgesamt zeigt sich, dass C-PES nicht per se eine Transformation in Richtung sozial-ökologischer Nachhaltigkeit unterstützen, sondern nur dann einen erfolgreichen Beitrag leisten können, wenn bei der Umsetzung die lokalen Gegebenheiten berücksichtigt und Entscheidungen über die Programmgestaltung inklusiv getroffen werden. Darüber hinaus ist es wichtig, dass C-PES Programme engere Mensch-Natur-Beziehungen ermöglichen und in einen umfassenden institutionellen Wandel eingebettet sind, der sich über verschiedene räumliche und politische Ebenen erstreckt. / As ecosystems around the world continue to degrade, the implementation of ecologically effective and socially just conservation instruments is critical. Payments for ecosystem services (PES) are an increasingly popular tool. PES are voluntary and conditional incentives for the provision of ecosystem services, rewarding landowners for their conservation efforts. Some PES programs target local communities that collectively meet contractual obligations (collective PES, C-PES). Proponents see C-PES as a promising tool for successful nature conservation, while critics argue that the introduction of market principles into areas not previously characterized by them can have negative effects, such as the erosion and replacement of well-functioning local community institutions and the crowding out of intrinsic conservation motivations. Against the background of these controversies, this dissertation aims to contribute to answering the question of how paying local communities for their conservation efforts supports or hinders the social-ecological transformation towards sustainability. Paper I reviews definitions and systematizations of program-related commodification processes and local land tenure structures, and their links to social-ecological program outcomes. Based on a framework developed in the first paper, Paper II examines 29 C-PES programs worldwide regarding their ES-related degree of commodification. Paper III focuses on human-environment conflicts in the context of conservation performance payments for wolverines and lynxes in Sweden, which are made to indigenous Sámi communities. Overall, the findings of the three papers suggest that C-PES programs do not in themselves address leverage points for a sustainability transformation, but can only be fully effective when implemented in a careful and inclusive manner, ensuring that they contribute to a larger institutional change across scales and when they support closer connections between people and nature.