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Complex socio-environmental challenges require interdisciplinary, team-based research capacity. Graduate students are fundamental to building such capacity, yet formal opportunities for graduate students to develop these capacities and skills are uncommon. This paper presents an assessment of the Graduate Pursuit (GP) program, a formal interdisciplinary team science graduate research and training program administered by the National Socio-Environmental Synthesis Center (SESYNC). Quantitative and qualitative assessment of the program’s first cohort revealed that participants became significantly more comfortable with interdisciplinary research and team science approaches, increased their capacity to work across disciplines, and were enabled to produce tangible research outcomes. Qualitative analysis of four themes—(1) discipline, specialization, and shared purpose, (2) interpersonal skills and personality, (3) communication and teamwork, and (4) perceived costs and benefits—encompass participants’ positive and negative experiences and support findings from past assessments. The findings also identify challenges and benefits related to individual personality traits and team personality orientation, the importance of perceiving a sense of autonomy and independence, and the benefit of graduate training programs independent of the university and graduate program environment.

A key challenge facing ecologists and ecosystem managers is understanding what drives unexpected shifts in ecosystems and limits the effectiveness of human interventions. Research that integrates and analyses data from natural and social systems can provide important insight for unravelling the complexity of these dynamics. It is, therefore, a critical step towards the development of evidence-based, whole-system management approaches. To examine our ability to influence ecosystems that are behaving in unexpected ways, we explore three prominent cases of “ecological surprise.” We captured the social-ecological systems (SES) using key variables and interactions from Ostrom’s SES framework, which integrates broader ecosystem processes (e.g. climate, connectivity), management variables (e.g. quotas, restrictions, monitoring), resource use behaviours (e.g. harvesting) and the resource unit (e.g. trees, fish, clean water) being managed. Structural equation modelling revealed that management interventions often influenced resource use behaviours (e.g. rules and limits strongly affected harvest or pollution), but they did not have a significant effect on the abundance of the managed resource. Instead, most resource variability was related to ecological processes and feedbacks operating at broader spatial or temporal scales than management interventions, which locked the resource system into the degraded state. Synthesis and applications. Mismatch between the influence of management systems and ecosystem processes can limit the effectiveness of human interventions during periods of ecological surprise. Management strategies should shift from a conventional focus on removal or addition of a single resource towards solutions that influence the broader ecosystem. Operationalizing Ostrom’s framework to quantitatively analyse social-ecological systems using structural equation models shows promise for testing solutions to navigate these events.

As the extent and intensity of human impacts on ecosystems increase and the capacity of ecosystems to absorb these impacts dwindles, unanticipated behavior in ecological systems-or surprises-is likely to become more common. The concept of ecological surprise is broadly applied but seldom explicitly developed in ecological literature, and ecologists can employ diverging language, frameworks, and interpretations of surprise. Here, we synthesize what ecological surprise has meant to ecologists studying these events and review the development and use of the concept in ecology. We define ecological surprise as a situation where human expectations or predictions of natural system behavior deviate from observed ecosystem behavior. This can occur when people (1) fail to anticipate change in ecosystems; (2) fail to influence ecosystem behavior as intended; or (3) discover something about an ecosystem that runs counter to accepted knowledge. We develop a conceptual model that captures the interactions between social and ecological processes that lead to these events and examine two types of drivers that contribute to surprise: Underlying driving forces and proximate causes. Our definition of ecological surprise inherently acknowledges that, to be surprising, there must be human observers to the ecological occurrence who have expectations about ecosystem behavior. To explore this dimension, we draw on social science perspectives to understand the ways in which human expectations of ecosystems are influenced by social networks, heuristics, and mental models. We use a case study to demonstrate how our integrated conceptualization of ecological surprise provides a systematic way of examining these events. Our integration of these perspectives enables us to better synthesize social and ecological knowledge of these events, and encourages ecologists to critically reflect on how they, as scientists, formulate and reformulate expectations of ecosystem behavior.

This paper advances disaster risk governance (DRG) research and practice by incorporating elements of intersectionality and place‐based thinking. Intersectionality provides a crucial yet underutilised lens to examine power, positionality, and individuals' experiences facing disasters and other climatic events. Through six principles and using examples from small islands and a synthesis of the literature, this paper presents an intersectional approach for DRG to support inclusive and contextualised actions: (i) individuals are multi‐dimensional and complex; (ii) identities and vulnerability are not predefined; (iii) spatial and temporal differences influence the expression of identities; (iv) materiality of ecological systems influences intersectionality; (v) power relations are central the emergence of social processes and epistemologies; and (vi) positionality plays an important role in defining risk reduction agendas and choices. This paper examines how an intersectional perspective generates pathways to address the root causes of vulnerabilities to disasters beyond the 'one size fits all' approaches promoted globally. [ABSTRACT FROM AUTHOR]

Wetlands have been degraded and destroyed in many human-dominated landscapes worldwide, threatening vital ecosystem services. Landscape connectivity is critical for wetland biota, but is often reduced among remaining wetlands. With urban development, stormwater management (SWM) ponds are installed to hold runoff and associated contaminants. Unfortunately, SWM ponds do not adequately replace the ecosystem services and functions provided by a connected wetlandscape. We use a graph theory approach to analyze landscape connectivity of wetlands and stormwater management ponds in seven municipalities in southern Ontario, Canada. We analyze changes in connectivity through time, alongside potential effects of SWM pond creation on connectivity. We calculate the number of links (NL) and components (NC) at the landscape-level (i.e. connectivity within a municipality), and the probability of connection and two of its components (i.e. dPCflux and dPCconnector) at the habitat-level (i.e. contributions of individual wetlands and SWM ponds to landscape connectivity). Our results suggest that landscape connectivity has decreased with wetland loss, while SWM pond construction has improved connectivity. Wetlands appear to be more connected over the landscape, while SWM ponds might act as stepping-stones for species moving between wetlands. Our results point towards the need to protect and restore wetlands to safeguard critical ecosystem services. Stormwater ponds may not provide habitat of equivalent quality to wetlands; however, their strategic placement within urban areas could improve wetlandscape connectivity. [ABSTRACT FROM AUTHOR]

Natural planned exposure (NPE) remains one of the most common methods in swine herds to boost lactogenic immunity against rotaviruses. However, the efficacy of NPE protocols in generating lactogenic immunity has not been investigated before. A longitudinal study was conducted to investigate the dynamics of genotype-specific antibody responses to different doses (3, 2 and 1) of Rotavirus A (RVA) NPE (genotypes G4, G5, P[7] and P[23]) in gilts and the transfer of lactogenic immunity to their piglets. Group 1 gilts received three doses of NPE at 5, 4 and 3 weeks pre-farrow (WPF), group 2 received two doses at 5 and 3 WPF, group 3 received one dose at 5 WPF, and group 4 received no NPE (control group). VP7 (G4 and G5) and truncated VP4* (P[7] and P[23]) antigens of RVA were expressed in mammalian and bacterial expression systems, respectively, and used to optimize indirect ELISAs to determine antibody levels against RVA in gilts and piglets. In day-0 colostrum samples, group 1 had significantly higher IgG titers compared to the control group for all four antigens, and either significantly or numerically higher IgG titers than groups 2 and 3. Group 1 also had significantly higher colostrum IgA levels than the control group for all antigens (except G4), and either significantly or numerically higher IgA levels compared to groups 2 and 3. In piglet serum, group 1 piglets had higher IgG titers for all four antigens at day 0 than the other groups. Importantly, RVA NPE stimulated antibodies in all groups regardless of the treatment doses and prevented G4, G5, P[7] and P[23] RVA fecal shedding prior to weaning in piglets in the absence of viral challenge. The G11 and P[34] RVA genotypes detected from pre-weaning piglets differed at multiple amino acid positions with parent NPE strains. In conclusion, the results of this study suggest that the group 1 NPE regimen (three doses of NPE) resulted in the highest anti-RVA antibody (IgG and IgA) levels in the colostrum/milk, and the highest IgG levels in piglet serum. [ABSTRACT FROM AUTHOR]