Cumulative Effects Assessment Research Articles

Predicting regional cumulative effects of future development on coastal ecosystems to support Indigenous governance

Abstract To achieve better biodiversity outcomes and match local governance capacity, cumulative effects assessment frameworks that combine Indigenous and western knowledge to predict future development impacts on biodiversity are needed. We developed a spatial future‐focused model informed by inclusive elicitation and strategic foresight to assess the regional cumulative effects of development on ecosystem health across the land and sea. We collaborated with three First Nations on the Central Coast of British Columbia, Canada, enabling Indigenous priorities, knowledge and values to drive the process, from the choice of priority ecosystem components (including salmon, herring, seabirds and bears), to identifying future development scenarios (based on forestry, energy/mining, tourism and salmon aquaculture sectors). Bayesian networks were populated with empirical data and expert judgement elicited from knowledge holders to predict the cumulative effects of current and future pressures on species and ecosystems. Under current conditions, the lowest probability of persistence was predicted for Pacific salmon (37%), followed by Pacific herring (43%). Under future conditions, the greatest declines in species health were associated with the intense development of mining, tourism and forestry, with up to a 54% decline from the current baseline health estimates predicted for Marbled Murrelets and old‐growth forest. Future outcomes for overall ecosystem health were predicted to be worst in scenarios with high future forestry activities (>60% decline in some areas). The continuation or development of all four industries resulted in an 8% decline overall in ecosystem health across the Central Coast. In contrast, predicted ecosystem health in the tourism economy scenario increased up to 15% in some marine areas, primarily driven by the removal of salmon aquaculture and forestry activities. Synthesis and applications. Our study demonstrates an inclusive, regional approach to assessing the cumulative effects of future development on coastal species. The novel participatory tools and predictive framework draw upon and interweave multiple forms of knowledge, enabling Indigenous values to drive the process, and appropriately integrate Indigenous knowledge into regional cumulative effects assessment. Our interactive web application provides First Nations partners access to all outputs, supporting Indigenous‐led governance and in situ ecosystem‐based management of their lands and water.

The Global Environmental Impacts of China's Accession to the WTO: A 20-Year Review.

Robust empirical assessments of the long-term cumulative global effects of free trade and economic globalization on the environment are limited. This account fills this gap by constructing a dynamic computable general equilibrium model to estimate the environmental effects of a milestone in the recent history of trade liberalization: China's 20-year World Trade Organization (WTO) accession. The modeling shows that China's accession could have resulted in an increase in the global cumulative greenhouse gases (GHGs), sulfur dioxide (SO2), and nitrogen oxide (NOx) emissions by roughly 14,000 Mt CO2-eq, 64 Mt, and 46 Mt, respectively. The global production scale effect contributed to most of these estimated increases. The regional total output composition effect also caused higher emissions. Meanwhile, the sectoral output composition effect helped reduce total emissions to a limited extent. Fortunately, a package of emission abatement measures led to a decrease in emission factors and a drop in the global cumulative emissions of GHGs, SO2, and NOx. The findings suggest that to enjoy the free trade and economic globalization benefits and minimize the induced emission increases, it is vitally important to systemically reduce emissions across the entire economy and nurture a low-carbon trade regime.

The association between microvascular and macrovascular diseases and diabetes remission after bariatric surgery.

Type-2 diabetes mellitus (T2DM) results in detrimental vascular complications including both microvascular and macrovascular diseases. Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG) are effective weight-loss therapies that enhance T2DM remission. However, limited data are present regarding the association between diabetes-associated diseases before RYGB and SG with T2DM remission. This is a retrospective cohort study in patients with T2DM who underwent RYGB or SG. We collected data on preoperative microvascular (i.e., retinopathy, nephropathy, and neuropathy) and macrovascular (coronary artery disease, cerebrovascular accidents, and peripheral artery disease) diabetes-associated diseases. Our end points included assessment of association and cumulative effect of diabetes-associated diseases and disease remission. We also performed a multivariate logistic regression to evaluate the parameters associated with T2DM remission. A total of 536 patients (67% female, 94% White) were included in this study. Patients without diabetes-associated diseases had an OR of 2.72 (95% CI 1.92 to 3.88) to achieve T2DM remission compared to patients with diabetes-associated diseases (27.9% vs 59.4%; p < 0.001). Importantly, there was an additive effect of the number of diabetes-associated diseases on the T2DM remission (p < 0.001). We demonstrate a significant association between HbA1c (p < 0.001), number of diabetes medications (p < 0.001), T2DM duration (p < 0.001), surgery type (p = 0.009), and insulin use (p = 0.04) with T2DM remission. Patients with presurgical diabetes-associated diseases had a lower remission rate after RYGB and SG. Not only do these complications represent a more practical and consistent variable to predict T2DM remission, but also help planning a multidisciplinary management of patients with more severe T2DM.

A methodology for analysing the impacts of climate change on maritime security

This paper presents a methodology for developing a social Cumulative Effects Assessment (CEA) which analyses the impacts of climate change on maritime crime and maritime insecurities. The use of a CEA methodology, including the use of the Effect to Impact Pathway will enable mapping the relationships between certain ‘Activities’ (e.g. human-induced emissions of greenhouse gasses), the ‘Pressure’ engendered (e.g. warming sea temperatures) and their ‘Impacts’ (e.g. food shortages) via ‘Receptors’ (e.g. fishing communities) on specific sectors of society (in this case maritime migration and maritime crime, e.g. illegal fishing). This paper provides a Proof of Concept (PoC) for using such a methodology and shows the applicability of a multidisciplinary approach in understanding causal chains. In this PoC, the authors are generating a Non-Geographic Assessment Map that investigates the ‘Impacts’ that the human-induced greenhouse gas emissions have on maritime security. The proposed analytical tool can then be applied in further studies to assess the dependencies and synergies between climate change and the occurrence of maritime insecurity.

Re-grounding cumulative effects assessments in ecological resilience

Cumulative effects assessments (CEA) evolved to holistically understand and account for the impact of a spectrum of human and natural disturbances on ecosystems. Yet, the practice of CEA has struggled to overcome siloed and reductionist underpinnings common in the impact assessment arena. One way to move CEA towards more integrated approaches is by drawing on the concept of ecological resilience. Despite gaining considerable attention in other academic spheres, however, ecological resilience remains largely unexplored in CEAs. Motivated by this gap, the objective of this article is to explore how CEAs can be reimagined through an ecological resilience lens to cultivate more integrated and holistic CEA practices. We provide a brief synthesis of CEA theory and practice, highlighting where reductionist, disciplinary, and siloed approaches prevail. Then, we explore three shifts that could recast CEA through the concept of ecological resilience: (1) a shift from valued ecological components to values/identity (resilience pivots), (2) a shift from baseline assessments to ecological trajectories, and (3) a shift from management thresholds to safe operating spaces. We argue that intersecting the practice of CEA with the concept of ecological resilience offers a real opportunity to extend beyond simply being passive respondents to an incremental “death by 1000 cuts” to cultivating the conditions needed for ecological adaption and transformation along desirable pathways.

Framing future trajectories of human activities in the German North Sea to inform cumulative effects assessments and marine spatial planning

The global industrialization of seascapes and climate change leads to an increased risk of severe impacts on marine ecosystem functioning. While broad scale spatio-temporal assessments of human pressures on marine ecosystems become more available, future trajectories of human activities at regional and local scales remain often speculative. Here we introduce a stepwise process to integrate bottom-up and expert-driven approaches for scenario development to inform cumulative effects assessments and related marine spatial planning (MSP). Following this guidance, we developed optimistic, realistic, and pessimistic scenarios for major human pressures in the German North Sea such as bottom trawling, offshore wind, nutrient discharge, and aggregate extraction. The forecasts comprise quantitative estimates in relation to spatial footprint, intensity, and technological advancements of those pressures for the years 2030 and 2060. Using network analyses, we assessed interactions of the current and future trajectories of pressures thereby accounting for climate change and the growing need for marine conservation. Our results show that future scenarios of spatial distributions could be developed for activities that are spatially refined and included in the current MSP process. Further our detailed analyses of interdependencies of development components revealed that forecasts regarding specific targets and intensities of human activities depend also strongly on future technological advances. For fisheries and nutrient discharge estimates were less certain due to critical socio-ecological interactions in the marine and terrestrial realm. Overall, our approach unraveled such trade-offs and sources of uncertainties. Yet, our quantitative predictive scenarios were built under a sustainability narrative on a profound knowledge of interactions with other sectors and components in and outside the management boundaries. We advocate that they enable a better preparedness for future changes of cumulative pressure on marine ecosystems.

Uncertainty in boundedly rational household adaptation to environmental shocks.

Despite the growing calls to integrate realistic human behavior in sustainability science models, the representative rational agent prevails. This is especially problematic for climate change adaptation that relies on actions at various scales: from governments to individuals. Empirical evidence on individual adaptation to climate-induced hazards reveals diverse behavioral and social factors affecting economic considerations. Yet, implications of replacing the rational optimizer by realistic human behavior in nature-society systems models are poorly understood. Using an innovative evolutionary economic agent-based model we explore different framings regarding household adaptation behavior to floods, leveraging on behavioral data from a household survey in Miami, USA. We find that a representative rational agent significantly overestimates household adaptation diffusion and underestimates damages compared to boundedly rational behavior revealed from our survey. This "adaptation deficit" exhibited by a population of empirically informed agents is explained primarily by diverse "soft" adaptation constraints-awareness, social influences-rather than heterogeneity in financial constraints. Besides initial inequality disproportionally impacting low/medium adaptive capacity households post-flood, our findings suggest that even under a nearly complete adaptation diffusion, adaptation benefits are uneven, with late or less-efficient actions locking households to a path of higher damages, further exacerbating inequalities. Our exploratory modeling reveals that behavioral assumptions shape the uncertainty of physical factors, like exposure and objective effectiveness of flood-proofing measures, traditionally considered crucial in risk assessments. This unique combination of methods facilitates the assessment of cumulative and distributional effects of boundedly rational behavior essential for designing tailored climate adaptation policies, and for equitable sustainability transitions in general.

A modelling approach to inform regional cumulative effects assessment in northern Ontario

Cumulatively, the effects of resource extraction and climate change have the potential to cause an unprecedented change to the ecosystems and livelihoods of Indigenous communities in Canada’s northern regions. Maintaining environmental and community values in the presence of such change will require a comprehensive understanding of potential long-term risks and opportunities to prevent or mitigate risks at the regional level. However, assessing the cumulative impact and benefits of the multiple disturbances at the regional level is complex due to the interaction of numerous drivers, values, actors, assessment scales, planning, and decision-making processes. We develop an integrated risk and cumulative effects (CE) management methodology to inform regional assessment by combining conceptual modelling through bowtie analysis and quantitative scenario analysis using ALCES Online (AO) simulation. We applied the framework using a case example in the Ring of Fire region of northern Ontario, Canada, to assess the CE of climate change, land use change, and wildlife harvest on the moose (Alces alces)-wolf (Canis lupus)-caribou (Rangifer tarandus) prey-predator system. The bowtie risk analysis provided a mechanism to define the management problem by identifying threats that contribute to risk, associated consequences, and specific management strategies that could be pursued under legislative frameworks and changes to maintain the sustainable dynamics of the moose-wolf-caribou system (MWC). The AO simulation of different levels of development and moose harvest, as well a baseline scenario that excluded climate change and development, allowed for a comprehensive examination of the complex processes driving the social-ecological system. The scenario analysis suggests that moose harvest can promote balance in the MWC system but only if applied in a sophisticated manner that limits moose harvest in areas with high road density, increases moose harvest in more remote regions susceptible to moose population expansion with climate change, and prioritizes Indigenous moose harvest to ensure a sustainable supply of moose for subsistence harvest. The case example shows how conceptual and quantitative modelling can provide the strategic perspective required for regional assessment.

Constructing scale, eroding responsibility: The politics of project boundaries in Canadian pipeline reviews

Decisions about whether to approve fossil fuel projects have major implications for climate change, biodiversity, and Indigenous rights. In Canada, cumulative effects tend to be only weakly assessed, with each project reviewed on its own terms. This paper investigates how fossil fuel companies strategically define project boundaries to facilitate resource extraction. Drawing on a preliminary scan of applications to Canadian federal review bodies from 2010 to 2022, complemented by detailed document analysis of three selected cases, we ask: in what ways have oil and gas proponents actively constructed scale through their project plans – with what consequences for regulatory scrutiny? Through careful reading of project applications, hearing documents, and company websites, we identify three strategies: (1) splitting work on the same infrastructure into multiple applications; (2) incrementally expanding a network; and (3) portraying interdependent facilities as stand-alone projects. These tactics are within the law, yet they narrow the scope of issues that regulators assess and make it more onerous for affected communities to participate in multiple reviews. Case studies of the Line 9 pipeline, BC Pipeline network, and Gazoduq/Énergie Saguenay facilities show how regulators exempted smaller projects from more rigorous assessment, deemed cumulative effects assessment unnecessary, and excluded broader issues such as climate change and successive encroachment on Indigenous lands. Our findings contribute to work on the material consequences of relational scale, decolonial critiques of Canada's environmental governance regime, and efforts to advance climate justice by articulating how the legal geographies of energy projects shape responsibility for climate action.

Cumulative effects of multiple stressors impact an endangered seagrass population and fish communities

Coastal ecosystems are becoming increasingly threatened by human activities and there is growing appreciation that management must consider the impacts of multiple stressors. Cumulative effects assessments (CEAs) have become a popular tool for identifying the distribution and intensity of multiple human stressors in coastal ecosystems. Few studies, however, have demonstrated strong correlations between CEAs and change in ecosystem condition, questioning its management use. Here, we apply a CEA to the endangered seagrass Posidonia australis in Pittwater, NSW, Australia, using spatial data on known stressors to seagrass related to foreshore development, water quality, vessel traffic and fishing. We tested how well cumulative effects scores explained changes in P. australis extent measured between 2005 and 2019 using high-resolution aerial imagery. A negative correlation between P. australis and estimated cumulative effects scores was observed (R2 = 22 %), and we identified a threshold of cumulative effects above which losses of P. australis became more likely. Using baited remote underwater video, we surveyed fishes over P. australis and non-vegetated sediments to infer and quantify how impacts of cumulative effects to P. australis extent would flow on to fish assemblages. P. australis contained a distinct assemblage of fish, and on non-vegetated sediments the abundance of sparids, which are of importance to fisheries, increased with closer proximity to P. australis. Our results demonstrate the negative impact of multiple stressors on P. australis and the consequences for fish biodiversity and fisheries production across much of the estuary. Management actions aimed at reducing or limiting cumulative effects to low and moderate levels will help conserve P. australis and its associated fish biodiversity and productivity.

Pathways for improving the consideration of ecological connectivity in environmental assessment: lessons from five case studies

ABSTRACT Case studies can highlight opportunities for mainstreaming connectivity into environmental assessment (EA) and reveal relevant conditions for success or failure. We examined five cases from Canada, Spain, Sweden, and the UK to address three questions: (1) What are major challenges? (2) What are relevant opportunities and lessons learnt? (3) What research directions should be promoted? We identified 15 challenges and 19 lessons that can help improve connectivity consideration. Common challenges include i) late consideration; ii) lack of resources; iii) lack of explicit requirements; iv) lack of guidance; v) limited recognition of the importance of connectivity; and vi) absence of a landscape-scale perspective. Lessons learnt include the need for rooting connectivity assessments in scientific knowledge and for considering multiple scales of analysis. The findings revealed multiple pathways that can lead to inclusion of connectivity, such as the involvement of knowledgeable EA practitioners, and governments providing a supportive framework. The findings can be applied to advance connectivity assessments in EA, emphasizing the need for guidance and the role of cumulative effects assessment and strategic environmental assessment.

Brownfields, Environmental Stability and Renewable Energy: Pathways to Overcome the Imperfection of Cumulative Effect Assessment

Brownfields or objects of accumulated environmental damage are a complex object characterized by both the absorption and release of uncontrolled energy (for example, biogas or hydrothermal energy). The brownfield redevelopment process provides unique opportunities to ensure efficient energy transfer and maintain environmental stability. However, the implementation of these solutions depends on the quality of the assessment of the cumulative impact of unspent deposits, namely, the assessment of the damage caused to the environment, which, in turn, gives an understanding of how to ensure the elimination of damage to energy efficiency and environmental safety from uncontrolled carbon dioxide emissions. In this article, we consider the problems of assessing the cumulative effect of waste management activities, as a result of which abandoned deposits or objects of accumulated environmental damage appear. A cycle of measures to achieve socio-economic efficiency through the re-development of brownfields and their integration within energy-efficient systems and environmentally balanced systems is proposed, and a new concept of identifying the negative occurrence of brownfields under the influence of climate change is substantiated. Particularly, we assess the possibilities of integrating brownfields or objects of accumulated environmental damage into energy-efficient and environmentally balanced systems for goals of sustainable development.

A risk-based approach to cumulative effects assessment for large marine ecosystems to support transboundary marine spatial planning: A case study of the yellow sea

Cumulative effects assessment (CEA) should be conducted at ecologically meaningful scales such as large marine ecosystems to halt further ocean degradation caused by anthropogenic pressures and facilitate ecosystem-based management such as transboundary marine spatial planning (MSP). However, few studies exist at large marine ecosystems scale, especially in the West Pacific seas, where countries have different MSP processes yet transboundary cooperation is paramount. Thus, a step-wise CEA would be informative to help bordering countries set a common goal. Building on the risk-based CEA framework, we decomposed CEA into risk identification and spatially-explicit risk analysis and applied it to the Yellow Sea Large Marine Ecosystem (YSLME), aiming to understand the most influential cause-effect pathways and risk distribution pattern. The results showed that (1) seven human activities including port, mariculture, fishing, industry and urban development, shipping, energy, and coastal defence, and three pressures including physical loss of seabed, input of hazardous substances, nitrogen, and phosphorus enrichment were the leading causes of environmental problems in the YSLME; (2) benthic organisms, fishes, algae, tidal flats, seabirds, and marine mammals were the most vulnerable ecosystem components on which cumulative effects acted; (3) areas with relatively high risk mainly concentrated on nearshore zones, especially Shandong, Liaoning, and northern Jiangsu, while coastal bays of South Korea also witnessed high risk; (4) certain risks could be observed in the transboundary area, of which the causes were the pervasive fishing, shipping, and sinking of pollutants in this area due to the cyclonic circulation and fine-grained sediments. In future transboundary cooperation on MSP, risk criteria and evaluation of existing management measures should be incorporated to determine whether the identified risk has exceeded the acceptable level and identify the next step of cooperation. Our study presents an example of CEA at large marine ecosystems scale and provides a reference to other large marine ecosystems in the West Pacific and elsewhere.

Fuzzy cognitive mapping as a tool to assess the relative cumulative effects of environmental stressors on an Arctic seabird population to identify conservation action and research priorities

Abstract In the Arctic, chemical contaminants, shipping, oil pollution, plastic pollution, changing habitats in relation to climate change and fisheries have been identified as environmental stressors to seabirds such as Fulmarus glacialis (northern fulmar; qaqulluk; ᖃᖁᓪᓗᖅ), but rarely have these stressors been considered within a cumulative effects framework in this species which is currently showing a declining populations trend. As a novel tool to understand cumulative effects within a conservation context, we applied a fuzzy cognitive mapping (FCM) approach that allows experts to arrange key factors and their interrelationships, organizing their understanding of the components of a complex issue into a graphical representation; a ‘cognitive map’. This process was grounded in local environment concerns as documented in several Nunavut‐specific reports and discussions, and worked with western‐trained seabird experts with knowledge of northern fulmar populations to assess the inter‐related environmental threats to fulmars as a way to combine these stressors in a cumulative effects framework and identify conservation actions and knowledge gaps. We found strong agreement that the main stressors affecting northern fulmar populations in Canada include pollution (11% total influence (TI)), shipping activities (16% TI), hunting and fishing (18% TI) and mining/oil and gas exploitation activities (22% TI). The indirect influence of threats on northern fulmar population size (57% TI) exceeded the total direct influence (43% TI), emphasizing the value of cognitive mapping in cumulative effects assessment for a more holistic understanding of interacting stressors. Participants expressed substantial uncertainty regarding the strong relationships leading from the concepts, commercial fishing activity in the BBDS and the North Atlantic fisheries activity, indicating that these potential stressors require more research. Similarly, uncertainty was expressed about the potential effects of zodiac traffic, ship strikes of northern fulmar, number of oil spills and magnitude of oil spills on northern fulmar. By characterizing individual factors as manageable or not, we determined that stressors are largely manageable with enforcement of existing policies (58% TI)—importantly, fishing activities were both highly influential on fulmars and deemed manageable, which will inform ongoing co‐management planning in the region.

Improving cumulative effects assessment: alternative approaches based upon an expert survey and literature review

ABSTRACT Cumulative effects assessment has been a longstanding challenge and is perhaps the most crucial component of project-level impact assessment. Alternative approaches to advance project-level cumulative effects assessment are developed based upon the findings of a literature review and key informant interviews. Alternative approaches are organized around key themes and cover: baselines; hybridization of sequential and integrated assessment; regional environmental assessment; the omnipresence of cumulative effects in project-level assessment; professional culture; and value-centrism.

Inclusive approaches for cumulative effects assessments

Abstract The cumulative impacts of human activities and natural disturbance are leading to loss and extinction of species, ecological communities and biocultural connections people have to those ecosystems. Exclusive and extractive western science methodologies often hinder the inclusion of Indigenous knowledge holders in cumulative effects assessments (CEAs), which can lead to regional conflict and ineffective assessment and management of cumulative effects. We offer our reflections on the development of a collaborative CEA process with the Kitasoo Xai'xais, Nuxalk and Wuikinuxv First Nations in what is now known as the Central Coast of British Columbia. We designed our CEA around the guiding principles of respecting Indigenous sovereignty and regional autonomy, designing for trauma‐informed approaches, and prioritizing inclusivity and reciprocity. We focused our efforts on identifying current and future pressures on species of the Nations' choice. We relied on expert elicitation and data‐driven approaches to identify and map current and future cumulative impacts to predict their consequences for species' health. We used combinations of visualizations, numerical, oral and written materials to convey, elicit and share complex information with experts. We found a diversity of elicitation processes fostered the involvement of a variety of experts (e.g. Indigenous knowledge holders and Nation staff, regional biologists, Crown managers, tenure holders). We mapped over 90+ impacts to species in the region and after conversation and facilitated elicitation processes with over 50 knowledge holders, emerged with predictions for the consequences of seven plausible scenarios of future cumulative impacts for eight species as well as broad themes for the management of cumulative impacts to the lands and waters of the Nations with whom we collaborated. Our shared lessons can support researchers, planners, proponents, and Indigenous and colonial government agencies to conduct inclusive, collaborative and accessible CEAs that inform regional land and marine use planning. Read the free Plain Language Summary for this article on the Journal blog.

Risk assessment framework for cumulative effects (RAFCE)

Introduction: Regional environmental risk assessment is a practical approach to understanding and proactively addressing the cumulative effects of resource development in areas of regional importance. However, regional assessment is methodologically complex, and frameworks to identify and prioritize regional risk issues to guide effective management decisions are lacking. This research develops a risk and impacts-based cumulative effects assessment framework for scoping regional cumulative effects issues to guide present and future project and regional assessment. We operationalized the framework dubbed Risk Assessment Framework for Cumulative Effects (RAFCE) to assess the risks and impacts of proposed mining development in the Ring of Fire region of Northern Ontario, Canada.Methods: Methodologically, we built on existing studies to understand the key valued ecosystem components (VECs) impacted by mining; organized an expert Bowtie Risk Assessment Tool workshop and interviews to identify regional risks and define the VECs impacted by mining; and developed an impact prioritization model that helped quantify and prioritize impacts of mining.Results and Discussion: RAFCE enabled us to: a) identify drivers and impacts of cumulative effects and potential preventive and mitigation measures for effective cumulative effects management and b) describe, quantify, and rank the major impact and components of regional interest. Using RAFCE, we can identify and prioritize impacts that are cross-cutting, multisector‐driven, synergistic, and relevant to a region, visualize and understand the risk management process, identify policy and management issues to prevent risks or mitigate impacts, and ultimately inform resource allocation for effective regional cumulative effects assessment outcomes. RAFCE is suitable for engaging diverse stakeholders in planning for regional cumulative effects assessment.

Advances in cumulative effects assessment and application in marine and coastal management

Abstract Quantifying and managing the cumulative effects of human activities on coastal and marine environments is among the foremost challenges in enabling sustainable development in the twenty-first century. As the speed with which these environments are changing increases, there is greater impetus to resolve the evident problems facing governance systems responsible for managing cumulative impacts. Policymakers and regulators recognise the need to assess and manage cumulative effects, as evidenced by widespread legislation requiring cumulative effects assessment (CEA). Yet there is ample evidence that we are not turning the tide in terms of balancing good environmental health with increasing demands of already degraded coastal and marine spaces that are increasingly impacted by climate change. This paper reviews the current state of knowledge regarding scientific and practical advances in CEA, assesses whether these advances are being applied in decision-making and identifies where challenges to implementation exist. Priority research questions are formulated to accelerate the inclusion of effective CEA in marine and coastal planning and management.

Multiple impacts of invasive species on species at risk: a case study in British Columbia, Canada

Invasive species are a leading cause of biodiversity loss and species extinctions across ecosystems on a global scale. The historical and ongoing focus on single-species management of invasive species and species at risk contributes to inefficiencies in management strategies that present an obstacle to achieving desired outcomes. A holistic approach that consolidates and maps linkages between the broader collective of invasive species and species at risk in an area provides a more appropriate entry point for issue-based, rather than species-based, management planning. We present a case study of this approach from British Columbia, Canada, which synthesized the identity, mechanisms of impact, mechanisms of spread, and magnitude of impacts across 782 unique pairs of invasive species and federally listed species at risk, based on a literature review of species at risk documentation. The resulting dataset was used to summarize the nature of interactions across species pairs and taxonomic groups to help guide the development of invasive species response strategies that make the best use of limited management resources. As species invasions and extinctions become increasingly interconnected, holistic approaches rooted in cumulative effects assessment and ecosystem-based management can provide a stronger foundation for reducing or mitigating this growing threat.

Collaborative watershed analysis: A ‘groupthink’ assessment of cumulative effects

In Canada, the assessment of cumulative effects, incremental and accumulating environmental changes in a region over time, emerged from environmental impact assessment, which was designed to serve the ethos of western, ‘settler’ governments despite being practiced in areas that usually overlap Indigenous territories. The limited (western) purview of cumulative effects assessment is reinforced by a lack of diversity in water monitoring and management practitioners. Our objective is to develop a new approach, collaborative watershed analysis, in which diverse ways of knowing are considered in the assessment of cumulative effects in water quality monitoring. An online workshop and 21 interviews informed how Canadian water managers, community members, and Haudenosaunee (Iroquois) peoples may collaborate to assess cumulative effects in the lower Grand River and the nearshore of Lake Erie (eastern basin in Ontario, Canada). Our results and discussion progress from western perspectives of ‘what is’ to a broader discussion of ‘what could be’, drawing on the perspectives of Haudenosaunee youth in the Grand River Watershed. We propose three recommendations for the creation of a cumulative effects monitoring framework: (1) co-create the intent and expectations of the monitoring program with all participants at the outset; (2) ensure diverse persons are invited to contribute; and (3) enable the sharing of knowledge in different formats. Strengths of collaborative watershed analysis include connecting biophysical aspects of the watershed with social, economic, and cultural aspects, as well as repositioning diverse ways of knowing as a foundation upon which cumulative impacts can be better understood and managed.