Complex Social-ecological Systems Research Articles

The challenges of navigating different spaces and contexts in collaborative doctoral research in sport coaching

ABSTRACT In this paper, we analyse our experiences as both researchers and supervisors while collaborating with national governing bodies (NGBs) on jointly funded doctoral sport coaching research projects. We share our collective accounts of undertaking applied coaching research. Composite narratives reveal our ambitions for authentic collaboration; the vulnerabilities of the researcher; and the importance of empathy. Using Bronfenbrenner’s theory, we explore how researcher-practitioner PhDs involve movement between complex social-ecological systems. In doing so, we seek to support neophyte researchers and supervisors engaged in collaborative research partnerships. Contributions may also support NGBs and funders who are seeking high quality and contextually situated coaching research.

An integrated hierarchical classification and machine learning approach for mapping land use and land cover in complex social-ecological systems

Mapping land use and land cover (LULC) using remote sensing is fundamental to environmental monitoring, spatial planning and characterising drivers of change in landscapes. We develop a new, general and versatile approach for mapping LULC in landscapes with relatively gradual transition between LULC categories such as African savannas. The approach integrates a well-tested hierarchical classification system with the computationally efficient random forest (RF) classifier and produces detailed, accurate and consistent classification of structural vegetation heterogeneity and density and anthropogenic land use. We use Landsat 8 OLI imagery to illustrate this approach for the Extended Greater Masai Mara Ecosystem (EGMME) in southwestern Kenya. We stratified the landscape into eight relatively homogeneous zones, systematically inspected the imagery and randomly allocated 1,697 training sites, 556 of which were ground-truthed, proportionately to the area of each zone. We directly assessed the accuracy of the visually classified image. Accuracy was high and averaged 88.1% (80.5%–91.7%) across all the zones and 89.1% (50%–100%) across all the classes. We applied the RF classifier to randomly selected samples from the original training dataset, separately for each zone and the EGMME. We evaluated the overall and class-specific accuracy and computational efficiency using the Out-of-Bag (OOB) error. Overall accuracy (79.3%–97.4%) varied across zones but was higher whereas the class-specific accuracy (25.4%–98.1%) was lower than that for the EGMME (80.2%). The hierarchical classifier identified 35 LULC classes which we aggregated into 18 intermediate mosaics and further into five more general categories. The open grassed shrubland (21.8%), sparse shrubbed grassland (10.4%) and small-scale cultivation (13.3%) dominated at the detailed level, grassed shrubland (31.9%) and shrubbed grassland (28.9%) at the intermediate level, and grassland (35.7%), shrubland (35.3%) and woodland (12.5%) at the general level. Our granular LULC map for the EGMME is sufficiently accurate for important practical purposes such as land use spatial planning, habitat suitability assessment and temporal change detection. The extensive ground-truthing data, sample site photos and classified maps can contribute to wider validation efforts at regional to global scales.

Modeling post-Pleistocene megafauna extinctions as complex social-ecological systems

Abstract The role of human hunting behavior versus climate change in the mass extinction of megafauna during the Late Quaternary is much debated. To move beyond monocausal arguments, we treat human–megafauna–environment relationships as social–ecological systems from a complex adaptive systems perspective, to create an agent-based model that tests how human hunting may interact with environmental stress and animal life history to affect the probability of extinction. Using the extinction of Syncerus antiquus in South Africa at 12–10 ka as a loose inspirational case study, we parameterized a set of experiments to identify cross-feedbacks among environmental dynamics, prey life history, and human hunting pressure that affect extinction probability in a non-linear way. An important anthropogenic boundary condition emerges when hunting strategies interrupt prey animal breeding cycles. This effect is amplified in patchy, highly seasonal environments to increase the chances of extinction. This modeling approach to human behavior and biodiversity loss helps us understand how these types of cross-feedback effects and boundary conditions emerge as system components interact and change. We argue that this approach can help translate archaeological data and insight about past extinction for use in understanding and combating the current mass extinction crisis.

Towards reusable building blocks for agent-based modelling and theory development

Despite the increasing use of standards for documenting and testing agent-based models (ABMs) and sharing of open access code, most ABMs are still developed from scratch. This is not only inefficient, but also leads to ad hoc and often inconsistent implementations of the same theories in computational code and delays progress in the exploration of the functioning of complex social-ecological systems (SES). We argue that reusable building blocks (RBBs) known from professional software development can mitigate these issues. An RBB is a submodel that represents a particular mechanism or process that is relevant across many ABMs in an application domain, such as plant competition in vegetation models, or reinforcement learning in a behavioural model. RBBs need to be distinguished from modules, which represent entire subsystems and include more than one mechanism and process. While linking modules faces the same challenges as integrating different models in general, RBBs are “atomic” enough to be more easily re-used in different contexts. We describe and provide examples from different domains for how and why building blocks are used in software development, and the benefits of doing so for the ABM community and to individual modellers. We propose a template to guide the development and publication of RBBs and provide example RBBs that use this template. Most importantly, we propose and initiate a strategy for community-based development, sharing and use of RBBs. Individual modellers can have a much greater impact in their field with an RBB than with a single paper, while the community will benefit from increased coherence, facilitating the development of theory for both the behaviour of agents and the systems they form. We invite peers to upload and share their RBBs via our website - preferably referenced by a DOI (digital object identifier obtained e.g. via Zenodo). After a critical mass of candidate RBBs has accumulated, feedback and discussion can take place and both the template and the scope of the envisioned platform can be improved.

Disentangling the complexity of human–nature interactions

Abstract Human–nature interactions have been identified as an important leverage point for achieving sustainability. Processes to recognize, protect, improve and reimagine human–nature interactions will be central to shift the world to more sustainable and equitable pathways and futures. In the context of the interconnected and rapidly changing Anthropocene, work on human–nature interactions must move beyond dominant linear assumptions of a relatively simple and easily and predictably manipulated world to acknowledge and engage with the complex, dynamic, asymmetrical and unequal nature of the interactions connecting people and nature. Based on three key features highlighted by the study of complex social–ecological systems (SES)—that these systems are relational, open and dynamic—we propose three new directions for the study and management of human–nature interactions that can help to acknowledge and disentangle the globally intertwined and dynamic nature of these interactions. These features suggest new directions and foci for sustainability science: the inseparable and relational qualities of the interactions between people and nature; the cross‐scale nature of these relationships; and the continuously evolving and changing form of these relationships. To bridge the gap between the theory of complex, inseparable and unequal human–nature interactions and the reductionist tendencies in research and practice, SES research raises opportunities to connect local action and global learning; to mobilize and develop new cross‐scale and relational capacities to encourage synergies and avoid trade‐offs; and to explore, experiment and learn our way forward onto more sustainable and equitable pathways. Read the free Plain Language Summary for this article on the Journal blog.

Interrelated transformative process dynamics in the face of resource nexus challenges: an invitation towards cross case analysis

ABSTRACT The need for more attention to the social and human dimensions in global change sciences and natural resources management requires in-depth understandings of transformative approaches and processes. More inclusive and systemic approaches are needed that embrace complexity and support transformative learning, shifts in power relations, collective and relational agency and structural transformations for adaptive and innovative governance. Scientific understanding of how such change can be brought about is still limited. In this paper, which sets the scene for this Special Issue, we develop a conceptual framework for analyzing transformative processes across a range of diverse cases. Aspects of the conceptual framework are applied, tested and elaborated in three following papers in the Special Issue, deepening understanding of how transformative change in complex social-ecological systems may originate at nexus boundary zones such as that portrayed by the water-food-energy nexus. Specifically, the paper conceptually elaborates four iteratively related dynamics of transformative learning, transforming power relations, transformative agency and transforming structures which intersect in transformation processes. The perspectives offer tools for cross case analysis in the longer term, but also tools for supporting co-engaged, generative research processes.

Moving beyond fish: working towards integrating human dimensions into sustainable seafood guides from South African perspectives

Traditionally, seafood assessments and subsequent ratings have guided choice and responsible sourcing of sustainable seafood based primarily on environmental concerns, with limited to no consideration to multi-faceted human dimensions that form an integral part of these complex social-ecological systems. For wild-capture marine fisheries around the world, and particularly in developing countries, human dimensions remain underrepresented in sustainability ratings, where the focus has traditionally been on larger, data-rich commercial fishery components that report predominantly on ecological and management considerations. Yet, addressing the diverse and complex nature of marine social-ecological systems remains critical to achieve global sustainable seafood systems that balance ecological and societal needs to benefit both nature and people. This paper champions the integration of human elements into seafood sustainability guides, building on work reviewing how best to integrate human dimensions into traditional seafood assessments under the World Wide Fund for Nature (WWF) – drawing on examples from South Africa. While the paper does not prescribe a blueprint for implementation, this review highlights challenges and opportunities to include human rights violations and small-scale fisheries in existing sustainable seafood guides from a South African perspective. There is a need for sustainability considerations to move beyond fish to better represent how these social-ecological systems feed into oceanic cultural norms and nutrition. This translates to shifting from an ecological focus to include human dimensions to better represent complex marine social-ecological systems and drive equitable change within local and global seafood industries.

Tipping Points of Space Debris in Low Earth Orbit

Global services like navigation, communication, and Earth observation have increased dramatically in the 21st century due to advances in outer space industries. But as orbits become increasingly crowded with both satellites and inevitable space debris pollution, continued operations become endangered by the heightened risks of debris collisions in orbit. Kessler Syndrome is the term for when a critical threshold of orbiting debris triggers a runaway positive feedback loop of debris collisions, creating debris congestion that can render orbits unusable. As this potential tipping point becomes more widely recognized, there have been renewed calls for debris mitigation and removal. Here, we combine complex systems and social-ecological systems approaches to study how these efforts may affect space debris accumulation and the likelihood of reaching Kessler Syndrome. Specifically, we model how debris levels are affected by future launch rates, cleanup activities, and collisions between extant debris. We contextualize and interpret our dynamic model within a discussion of existing space debris governance and other social, economic, and geopolitical factors that may influence effective collective management of the orbital commons. In line with previous studies, our model finds that debris congestion may be reached in less than 200 years, though a holistic management strategy combining removal and mitigation actions can avoid such outcomes while continuing space activities. Moreover, although active debris removal may be particularly effective, the current lack of market and governance support may impede its implementation. Research into these critical dynamics and the multi-faceted variables that influence debris outcomes can support policymakers in curating impactful governance strategies and realistic transition pathways to sustaining debris-free orbits. Overall, our study is useful for communicating about space debris sustainability in policy and education settings by providing an exploration of policy portfolio options supported by a simple and clear social-ecological modeling approach.

Exploring transformative processes at the intersections of land, water and livelihoods: a case study from the Tsitsa Project, South Africa

ABSTRACT The Tsitsa River catchment is a complex social-ecological system (cSES) in a rural area of the Eastern Cape Province of South Africa and the site of the Tsitsa Project (TP); a multi-stakeholder, transdisciplinary landscape restoration project aiming to improve sustainable livelihoods and ecological infrastructure. We investigated transformation mechanisms in a framing of multidimensional linkages, including the recognition of differentiated scales and levels. Linkages were analysed through the development of two vignettes: 1) a citizen technician employed to monitor sediment loads in rivers to inform landscape restoration activities (local scale); and 2) a senior government official responsible for (regional scale) operational and on-the-ground restoration initiatives. Vignette data were generated during a workshop, from TP researcher reflexivity, and interviews with the TP Catchment Coordinator and vignette subjects. Data were analysed and presented: i) as a heuristic diagram, ii) through a narrative, and iii) as a matrix table. Each analysis incorporated a different conceptualisation of scale in relation to four social processes related to transformative change: learning, agency, power and structure. Transformation is demonstrated and leverage points and areas of intractability for promoting and constraining future transformation towards social-ecological sustainability, were identified respectively. Further, we suggest that an understanding of transformative processes was enriched and nuanced by combining a triad of complementary analytical exercises. These allowed a focus on unique stories and contexts, but also the identification of generalisable patterns and mechanisms.

Collaborative Modeling of the Tick-Borne Disease Social-Ecological System: A Conceptual Framework.

Hard-bodied ticks have become a major concern in temperate regions because they transmit a variety of pathogens of medical significance. Ticks and pathogens interact with hosts in a complex social-ecological system (SES) that influences human exposure to tick-borne diseases (TBD). We argue that addressing the urgent public health threat posed by TBD requires an understanding of the integrated processes in the forest ecosystem that influence tick density and infection prevalence, transmission among ticks, animal hosts, and ultimately disease prevalence in humans. We argue that collaborative modeling of the human-tick SES is required to understand the system dynamics as well as move science toward policy action. Recent studies in human health have shown the importance of stakeholder participation in understanding the factors that contribute to human exposure to zoonotic diseases. We discuss how collaborative modeling can be applied to understand the impacts of forest management practices on ticks and TBD. We discuss the potential of collaborative modeling for encouraging participation of diverse stakeholders in discussing the implications of managing forest ticks in the absence of large-scale control policy.

Beyond a ‘just add water’ perspective: environmental water management for vegetation outcomes

Practitioners of environmental water management (EWM) operate within complex social-ecological systems. We sought to better understand this complexity by investigating the management of environmental water for vegetation outcomes. We conducted an online survey to determine practitioners’ perspectives on EWM for non-woody vegetation (NWV) in the Murray-Darling Basin, Australia with regards to: i) desirable outcomes and benefits; ii) influencing factors and risks; iii) challenges of monitoring and evaluation, and iv) improving outcomes.Survey participants indicated that EWM aims to achieve outcomes by improving or maintaining vegetation attributes and the functions and values these provide. Our study reveals that EWM practitioners perceive NWV management in a holistic and highly interconnected way. Numerous influencing factors as well as risks and challenges to achieving outcomes were identified by participants, including many unrelated to water.Survey responses highlighted six areas to improve EWM for NWV outcomes: (1) flow regimes, (2) vegetation attributes, (3) non-flow drivers, (4) management-governance considerations, (5) functions and values, and (6) monitoring, evaluation and research. These suggest a need for more than ‘just water’ when it comes to the restoration and management of NWV. Our findings indicate more integrated land-water governance and management is urgently required to address the impacts of non-flow drivers such as pest species, land-use change and climate change. The results also indicate that inherent complexity in EWM for ecological outcomes has been poorly addressed, with a need to tackle social-ecological constraints to improve EWM outcomes.

ArchaeoSRP

AbstractFor much of its history, archaeological research has relied on site-specific projects, regional comparisons, and theory building from case studies. However, recent research themes concerning the emergence of complex social-ecological systems and long-term land-use legacies require a new approach to archaeological data. Large-scale syntheses of archaeological data provide an effective way forward to address these new research themes. In more concise terms, “big questions” require “big data” to help answer them. The archaeological information collected by the USDA Forest Service is one such “big dataset” and represents an incalculable investment in time, resources, and expertise. This article explores this concept and presents an R package (ArchaeoSRP) designed to extract archaeological information from USDA Forest Service site record files. We demonstrate the functionality of this R package through a case study examining the archaeological data for the Cle Elum Ranger District, within Central Washington's Okanogan-Wenatchee National Forest. Our results reveal the efficiency of using automated methods to extract, organize, and synthesize district-level archaeological data, which, in turn, reveal patterns of precontact and historic land use that were otherwise not distinguishable.

Public perception of an important urban estuary: Values, attitudes, and policy support in the Biscayne Bay-Miami Social Ecological System.

Understanding public perceptions, values, and preferences can be fundamental to effective conservation governance, management, and outreach. This is particularly true in socially and ecologically complex marine and coastal spaces, where many relevant questions remain. The social-ecological system of Biscayne Bay and Miami-Dade are on the frontier of problems that will soon engulf many coastal-urban systems. Despite the economic, ecological, and cultural importance of Biscayne Bay, research into the social components of this social-ecological system is distinctly lacking. In order to effectively address urgent coastal management issues, practitioners and policy-makers need a clear understanding of public perceptions, values, and priorities. In this paper I present the results of a large online survey (n = 1146) exploring public attitudes toward Biscayne Bay as a case study of management and opportunity in a complex coastal social-ecological system. Results describe a public that interacts with and utilizes Biscayne Bay in a variety of ways, from leisure and recreation, to subsistence. This public believes the Bay to be moderately healthy, though somewhat in decline, and has experienced a range of local environmental threats, about which they feel considerable concern. These interactions and concerns are in turn reflected in overwhelming endorsement of value statements regarding the ecological, material, cultural and economic importance of the ecosystem to the city, as well as high levels of support for policy actions to protect and restore that ecosystem. Together these findings indicate that additional policy steps to preserve and restore Biscayne Bay would enjoy support from the local public and demonstrate the power of public perceptions research to identify gaps and opportunities for management and outreach.

Co-Producing Narratives and Indicators as Catalysts for Adaptive Governance of a Common-Pool Resource within a Protected Area

The theory and practice of adaptive management and adaptive governance have been widely studied in the complex social contexts that mediate how humans interact with ecosystems. Adaptive governance is thought to enable adaptive management in such contexts. In this study, we examine four often-used principles of adaptive governance (polycentric institutions, collaboration, social learning and complexity thinking) to develop a framework for reflecting on adaptive governance of a social-ecological system—the Knysna Estuary in South Africa. This estuary is a priority for biodiversity conservation, as well as a common-pool resource central to livelihoods. We used the framework to structure dialogue on the extent to which the four principles of adaptive governance were being applied in the management of the Knysna Estuary. The dialogue included diverse stakeholders, from those who have the power to influence adaptive management to those most dependent on the resource for their livelihoods. Based on a combination of theory and current reality we then identified eight indicators that could be used to guide a transition towards improved adaptive governance of the estuary. These indicators were assessed and supported by most stakeholders. The main contributions of our research are (a) a process for combining theory and stakeholder dialogue to reflect on adaptive governance of a social-ecological system; (b) a set of indicators or conditions that emerged from our participatory process that can be used for reflexive monitoring and adaptation of adaptive governance of Knysna Estuary; and (c) a real-world example of seeking complementary links between adaptive governance and adaptive management to promote effective management of complex social-ecological systems.

Whole-genome sequencing for One Health surveillance of antimicrobial resistance in conflict zones: a case study of Salmonella spp. and Campylobacter spp. in the West Bank, Palestine.

Antimicrobial resistance (AMR) is a critical global concern driven by the overuse, misuse, and/or usage of inadequate antibiotics on humans, animals' agriculture, and as a result of contaminated environments. This study is the first One Health survey in the Middle East that incorporated whole-genome sequencing (WGS) to examine the spread of AMR in Campylobacter spp. and Salmonella spp. This cross-sectional study was conducted to examine the role of AMR at the human-animal-environmental interface and was performed in Ramallah/Al-Bireh and Jerusalem governorates of the central West Bank, Palestine. In 2021 and 2022, a total of 592 samples were collected and analyzed. From a total of 65 Campylobacter jejuni and 19 Salmonella spp. isolates, DNA was extracted for WGS using Oxford Nanopore Technologies MinION platform. We found that the dominant serotypes of C. jejuni and Salmonella enterica were present in chicken manure, chicken meat sold in markets, and feces of asymptomatic farm workers, with high genetic similarities between the isolates regardless of origin. Additionally, our results showed rapid strain turnover in C. jejuni from the same sites between 2021 and 2022. Most of the positive Salmonella spp. samples were multidrug-resistant (MDR) S. enterica serovar Muenchen carrying the plasmid of emerging S. infantis (pESI) megaplasmid, conferring resistance to multiple antibiotics. Our findings highlight the spread of MDR foodborne pathogens from animals to humans through the food chain, emphasizing the importance of a One Health approach that considers the interconnections between human, animal, and environmental health. IMPORTANCE Prior to this study, there existed hardly an integrated human-animal-environmental study of Salmonellosis and Campylobacteriosis and related AMR in Middle Eastern countries. The few existing studies lack robust epidemiological study designs, adequate for a One Health approach, and did not use WGS to determine the circulating serotypes and their AMR profiles. Civil unrest and war in Middle Eastern countries drive AMR because of the breakdown of public health and food security services. This study samples simultaneously humans, animals, and the environment to comprehensively investigate foodborne pathogens in the broiler chicken production chain in Palestine using WGS. We show that identical serotypes of C. jejuni and S. enterica can be found in samples from chicken farms, chicken meat sold in markets, and asymptomatic broiler chicken production workers. The most striking feature is the rapid dynamic of change in the genetic profile of the detected species in the same sampling locations. The majority of positive Salmonella spp. samples are MDR S. enterica serovar Muenchen isolates carrying the pESI megaplasmid. The results demonstrate a close relationship between the S. enterica serovar Muenchen isolates found in our sample collection and those responsible for 40% of all clinical Salmonella spp. isolates in Israel as previously reported, with a sequence identity of over 99.9%. These findings suggest the transboundary spread of MDR S. enterica serovar Muenchen strains from animals to humans through the food chain. The study underscores the importance of combining integrated One Health studies with WGS for detecting environmental-animal-human transmission of foodborne pathogens that could not be detected otherwise. This study showcases the benefits of integrated environmental-animal-human sampling and WGS for monitoring AMR. Environmental samples, which may be more accessible in conflict-torn places where monitoring systems are limited and regulations are weak, can provide an effective AMR surveillance solution. WGS of bacterial isolates provides causal inference of the distribution and spread of bacterial serotypes and AMR in complex social-ecological systems. Consequently, our results point toward the expected benefits of operationalizing a One Health approach through closer cooperation of public and animal health and food safety authorities.

Disentangling interactions between seagrasses and small-scale fisheries using scientific and local traditional knowledge

Seagrass meadows deliver key ecosystem services in coastal environments worldwide by hosting early and adult life stages of many fish stocks, improving water quality, capturing carbon dioxide (mitigating the effects of global warming), protecting against adverse events and providing leisure opportunities. Shellfishing is often carried out in seagrass meadows, causing alterations derived from harvesting and/or culture processes. While the negative impacts of shellfisheries on seagrass meadows have been well established, the effects of the meadows on shellfishing have not yet been explored. In this study we analyzed the two-way interactions between shellfishing and Zostera spp. beds in north-west Spain and identified gaps in the governance system related to seagrass management. We conducted interviews (with 154 shellfishers) and held workshops (involving 61 shellfishers) to collect and validate information on the perceptions of shellfishers regarding the ecosystem services supplied by seagrass meadows, the interactions with shellfishing activity and how to improve the management of the activity in these key habitats. In general, shellfishers viewed the presence of seagrass negatively because greater physical effort is needed to extract the shellfish from among the plants. The shellfishers also recognized that the plants are easily damaged during their work. Temporal trends were also perceived negatively, as catches have been decreasing over time, while the area occupied by seagrass meadows has increased. However, experienced shellfishers recognized the benefits of the meadows for coastal ecosystems and fisheries (including those that they exploited), such as increased recruitment of the target species, to the extent that they were open to the allocation of areas to seagrass conservation. The compatibility of traditional shellfishing and management of seagrass meadows should be fostered by developing seagrass monitoring programs to develop adaptive fisheries management strategies and ensure conservation of these complex social-ecological systems.

Ecotourism, wildlife conservation, and agriculture in Costa Rica through a social-ecological systems lens

Parks and protected areas have long been promoted for their environmental conservation benefits, opportunities for outdoor recreation and nature-based tourism, and associated economic opportunities. However, conservation biologists and ecologists are increasingly embracing the idea that achieving their conservation goals requires working outside these protected areas and within more developed agricultural lands occupied and used by people. This shift toward a systems perspective for conservation involves working within integrated social and ecological systems. Outdoor recreation and nature-based tourism operate within these same linked systems across a range of scales. Ecotourism in particular is a complex social-ecological system (SES) that relies on environmental resources such as protected areas, tourism industry elements such as lodging and transportation, and locals who obtain their livelihoods in the surrounding regions. To understand this complex system, we apply a framework for situating disciplines within an SES across scales. This framework includes two-way interactions between nested hierarchical levels of social and ecological systems. Interactions range from positive to negative, forming a four-quadrant framework. We argue that this framework is more representative of this highly complex system of ecotourism than traditional human-impact research and provides a more holistic understanding of the nature-based recreation ecosystem. We apply this SES to a case study in Costa Rica, where ecotourism has become an important source of income for residents and thus generates conservation success. Our study area comprised the upper Guacimal watershed, a regional tourism hub in northwestern Costa Rica. We apply this SES framework to interview data regarding missions, goals, and management practices from representatives of 20 government and non-government organizations active in conservation, and thus engaged in ecotourism, in the area. Applying our SES framework to the Costa Rican case study revealed the dimension of varied challenges and benefits of ecotourism for and by local conservation organizations as compared with ecotourist visitors. The framework reveals opportunities for identifying trade-offs and maximizing benefits to social and ecological systems while minimizing negative impacts. Through this framework, we also discuss how ecotourism can contribute toward conservation of unregulated lands. Considering ecotourism as an SES can enable more comprehensive decision-making around an ecotourism system.

Perception of riverside folk about environmental degradation in the Igaraçu river, Piauí, Brazil

Co-development of knowledge is a useful tool for addressing the management of complex social-ecological systems like the ribeirinhos (riverine communities) of Brazil. Incorporating local knowledge and environmental perception of ribeirinhos into assessments of river degradation can lead to management outcomes that better support human and ecosystem health. In the state of Piauí, Brazil, riverine people depend on the Igaraçu River for various subsistence needs. However, river pollution has increased. The objective of this study was to comprehend the perceptions of ribeirinhos regarding the environmental degradation of the Igaraçu River in Piauí and how they believed it affected their life and ecosystem. We conducted interviews with 79 informants to gather insights on environmental degradation, its causes, and consequences. The results were analyzed using a Loyalty Level (LL) metric. The majority of respondents (67.86%, n=38) perceived that degradation was indeed taking place. They attributed the primary causes of degradation to discarded garbage (LL= 74.41) and the discharge of polluted water (LL= 11.60). Informants reported that local fauna and flora (LL= 35.70) were being impacted by water contamination. However, despite their reliance on the river for sustenance, including food, water, and the harvesting of forest products, they did not perceive any significant harm to their livelihoods. This study demonstrates that individuals who have a direct dependency on local natural resources can offer firsthand data regarding environmental changes. However, additional efforts are required to assist local communities (those who directly utilize the local environment) in developing a deeper understanding of how environmental degradation impacts both the present and future of their communities, as well as their connection to the local ecosystem.

Sustainability, Collective Self-Regulation, and Human-Nature Interdependence.

Like any organism, humanity constructs its niche and adapts to the rest of nature by modifying available materials around them. In the era that some have dubbed the "Anthropocene," human niche construction has gone so far as to threaten the planetary climate system. The central question of sustainability is how humanity can collectively self-regulate niche construction, that is, humanity's relationship with the rest of nature. In this article, we argue that to resolve the collective self-regulation problem for sustainability, sufficiently accurate and relevant aspects of causal knowledge about the functioning of complex social-ecological systems need to be cognized, communicated, and collectively shared. More specifically, causal knowledge about human-nature interdependence-how humans interact with each other and the rest of nature-is critical for coordinating cognitive agents' thoughts, feelings, and actions for the greater good without falling into the trap of free riding. Here, we will develop a theoretical framework to consider the role of causal knowledge about human-nature interdependence in collective self-regulation for sustainability, review the relevant empirical research primarily focusing on climate change, and take stock of what is currently known and what we need to investigate in the future.

Applying and Assessing Participatory Approaches in an Environmental Flows Case Study

Environmental flows (e-flows) management takes place within a complex social-ecological system, necessitating the involvement of diverse stakeholders and an appreciation of a range of perspectives and knowledge types. It is widely accepted that incorporating participatory methods into environmental flows decision-making will allow stakeholders to become meaningfully involved, improving potential solutions, and fostering social legitimacy. However, due to substantial structural barriers, implementing participatory approaches can be difficult for water managers. This paper assesses the effectiveness of an e-flows methodology that combines elements of structured decision-making and participatory modeling, whilst constrained by project resources. Three process-based objectives were identified by the group at the start of the process: improving transparency, knowledge exchange, and community ownership. We evaluated the success of the approach according to those objectives using semi-structured interviews and thematic analysis. In evaluating how well the participatory approach achieved the process objectives, we found that at least 80% of respondents expressed positive sentiment in every category (n = 15). We demonstrate that the values-based process objectives defined by the participant group are an effective tool for evaluating participatory success. This paper highlights that participatory approaches can be effective even in resource-constrained environments when the process is adapted to fit the decision-making context.