Cumulative Impact Assessment Research Articles

Cumulative collision risk and population-level consequences of industrial wind-power plant development for two vulture species: A quantitative warning

Prioritizing renewable energy generation over the conservation of natural habitats and species on a large spatial scale, leads to the paradox of impacting biodiversity to mitigate climate change. In this study, we aim at quantifying the long-term demographic impact of the excess mortality caused by collisions with wind turbines on the populations of two vulture species of conservation concern. Using long-term monitoring data and Integrated Population Models (IPMs), we quantified demographic parameters and projected population trends under various wind power development scenarios. Our findings indicate that even under our most optimistic scenarios, annual collision mortality could reach up to 30 % of the current Cinereous vulture population and 7 % of the Griffon vulture population. Without further wind power expansion, both vulture populations are predicted to remain stable or increase over the next 20 years. However, the addition of 85 wind turbines is likely to drive the Cinereous vulture to local extinction within 18 years and significantly slow the growth of the Griffon vulture population. Scenarios involving larger numbers of turbines could result in the extinction of both species within two to five years for Cinereous vultures and up to 20 years for Griffon vultures, depending on space use intensity. Our results underscore the vulnerability of long-lived species to excess mortality and highlight the need for comprehensive Environmental Impact Assessments (EIAs) that incorporate population dynamics analyses. Effective conservation strategies must include rigorous pre- and post-construction monitoring, the availability of monitoring data, and cumulative impact assessments that consider the entire foraging range of these species. Additionally, strategic planning to avoid critical vulture habitats and implementing mitigation measures in buffer zones are essential. This study emphasizes the necessity of integrating biodiversity considerations into renewable energy planning to balance the goals of energy production and wildlife conservation.

Using cumulative human impact assessment to support adaptive management of the threatened species’ habitats in the Yangtze River Estuary

The conflict between multiple functions of human use and habitat conservation represents an intractable challenge for environmental management. While numerous studies on marine conservation prioritize cumulative impact assessments (CIA) to tackle this issue, estuaries — despite their immense conservation significance amidst intense human activities — remain overlooked. Taking the Yangtze River Estuary (YRE) as the case study area, it is one of the most intensely human-utilized estuaries globally, yet it serves as a critical habitat and migratory corridor for the endangered Chinese sturgeon (Acipenser sinensis).We employed ecological indicators and quantitative modeling to assess habitat suitability and cumulative anthropogenic impacts on this endangered species in the YRE. The results demonstrated that suitable habitat distribution and human impact varied for juvenile Chinese sturgeon in the YRE. The suitable habitat distribution for juvenile Chinese sturgeon was concentrated in Chongming Dongtan and the North Channel. Ship density, submarine optical cables, and smooth cord grass invasion were the main anthropogenic factors impacting the Chinese sturgeon's migrating habitat in the YRE. Moreover, existing Chinese sturgeon habitats remain at risk, with 36.24 % of potential habitats and 56.60 % of high human impact areas requiring enhanced protection. Adaptive management strategies were proposed, tailored to the spatial and environmental protection needs across the dynamic habitat demands of aquatic species. Our spatially explicit and indicator-based findings provide key scientific support for enlarging protected areas and implementing adaptive management of human activities to balance conservation and sustainable use in this highly utilized ecosystem.

Mixed Methods Approaches: Structures and Methodologies for Cumulative Impact Assessment Development

Mixed Methods Approaches: Structures and Methodologies for Cumulative Impact Assessment Development

Combined Exposures and Mixtures Research: An Enduring NIEHS Priority.

The National Institute of Environmental Health Sciences (NIEHS) continues to prioritize research to better understand the health effects resulting from exposure to mixtures of chemical and nonchemical stressors. Mixtures research activities over the last decade were informed by expert input during the development and deliberations of the 2011 NIEHS Workshop "Advancing Research on Mixtures: New Perspectives and Approaches for Predicting Adverse Human Health Effects." NIEHS mixtures research efforts since then have focused on key themes including a) prioritizing mixtures for study, b) translating mixtures data from in vitro and invivo studies, c) developing cross-disciplinary collaborations, d) informing component-based and whole-mixture assessment approaches, e) developing sufficient similarity methods to compare across complex mixtures, f) using systems-based approaches to evaluate mixtures, and g) focusing on management and integration of mixtures-related data. We aimed to describe NIEHS driven research on mixtures and combined exposures over the last decade and present areas for future attention. Intramural and extramural mixtures research projects have incorporated a diverse array of chemicals (e.g., polycyclic aromatic hydrocarbons, botanicals, personal care products, wildfire emissions) and nonchemical stressors (e.g., socioeconomic factors, social adversity) and have focused on many diseases (e.g., breast cancer, atherosclerosis, immune disruption). We have made significant progress in certain areas, such as developing statistical methods for evaluating multiple chemical associations in epidemiology and building translational mixtures projects that include both in vitro and invivo models. Moving forward, additional work is needed to improve mixtures data integration, elucidate interactions between chemical and nonchemical stressors, and resolve the geospatial and temporal nature of mixture exposures. Continued mixtures research will be critical to informing cumulative impact assessments and addressing complex challenges, such as environmental justice and climate change. https://doi.org/10.1289/EHP14340.

A cumulative impact assessment on the marine capacity to supply ecosystem services

Ecosystem services link the status of biodiversity and its functioning to societal goods and benefits contributing to human wellbeing. As such, they can play a key role in preserving the environment and managing natural resources and ecosystems to conserve nature's contributions to people. Identification of the main threats acting on the natural environment, and how these may impact its capacity to supply ecosystem services, is fundamental to the maintenance of these services. To that end, we present a novel approach based on a cumulative impacts assessment that 1) covers all relevant human activities and their pressures, 2) links impacts to the biotic groups that make up biodiversity and 3) provides an estimation of the Service Supply Potential based on the functioning of these biotic groups. Key proxy metrics to estimate this Service Supply Potential were identified from a literature review and quantified using a food web model (Ecopath with Ecosim). In addition to this quantitative information, the assessment of the capacity to supply ecosystem services was supplemented with expert judgement-based information to reflect the societal preferences that drive the allocation of human capital and turn these services into societal goods and benefits. As a proof of concept, the method was applied to the North Sea ecosystem. Results showed that, overall, the capacity of the North Sea to supply Cultural ecosystem services was most threatened, with an average potential decline of 50 % compared to an undisturbed situation. This was followed by the Provisioning ecosystem services with 46 % and the Regulation & Maintenance with 38 %. The main anthropogenic threats (excluding climate change) to the North Sea capacity to supply ecosystem services come primarily from fishing contributing to 51 % of the overall threat. Of the remaining 18 sectoral activities another 23 % was contributed by mining, non-renewable energy, tourism, and agriculture.

Significant UK Environmental Law Cases 2023–24

Abstract This case law overview comments on significant UK environmental law cases for the period 1 April 2023–31 March 2024 (with one exception where a High Court decision within that period was overturned on appeal just after it). It begins with an overarching introduction, which draws some general themes from our selection of cases, focussing on the breadth of environmental law and issues of public concern in public and private law disputes. It then addresses 12 significant cases concerning the accrual of causes of action in private nuisance, whether there is power to vary abatement notices in respect of statutory nuisances, climate change, habitats, flooding, cumulative environmental impact assessment, river basin management plans, storm overflow discharge reduction plans, Regulators’ Codes, and public rights on Dartmoor Commons. It ends with some final thoughts on this year’s cases and the year ahead.

An evaluation of air quality impact prediction performance undertaken as part of environmental impact assessment (EIA) in India

Effective implementation of the Environmental Impact Assessment (EIA) is recognised as a global issue, in particular the impact prediction stage, which is the ‘core’ of EIA. Consisting of four stages: impact identification, impact assessment, significance evaluation, and mitigation measures on the possible environmental repercussions of project developmental activities, the efficacy of impact prediction can define the quality of the EIA process, which will better align environmental decision-making to sustainable development. The weakness of impact prediction in EIA demands more study to enhance practice. Although this is widely explored in the context of developed countries such as the UK, it is particularly concerning in India. A specialised review package built from several sources is utilised to assess the efficacy of air quality impact prediction, based on Lee & Colley (1991). 20 EIA reports of Category A (mega-scale projects causing significant environmental impacts) are reviewed. This study's evaluation indicates that significance evaluation and mitigation actions are the weakest phases and a major concern while assessing air quality studies conducted as a part of EIA. Recommendations to improve the process include prioritising the cumulative impact assessment within the regulatory framework, enhancing capacity building, embedding public participation and instilling accountability among stakeholders, which can be adopted globally. Additional recommendations specifically for India are revising the National Ambient Air Quality Standards (NAAQS), restructuring the EIA review mechanism by EAC and improving mitigation measures by adopting GIS and remote sensing technologies.

Groundtruthing cumulative impact assessments with biodiversity data: Testing indicators and methods for marine ecosystem condition assessments in South Africa

Abstract Accurate assessments of ecosystem condition are needed to inform management processes such as systematic conservation planning and protected area expansion, marine spatial planning and other effective area‐based conservation measures. Yet measuring the condition of dynamic and often largely inaccessible marine ecosystems is extremely difficult and presents a global challenge. Broad‐scale cumulative impact assessments have been used in South Africa as a proxy for marine ecosystem condition in national assessments and reporting because the data are more readily available, and knowledge exists on the impacts of various human activities (or pressures) on marine ecosystems. While useful for national reporting, assessments based on in situ ecological data are also needed at finer scales relevant to management. Applying the HELCOM BEAT approach, this study used in situ ecological data to identify potential methods and indicators that can be applied in South Africa to conduct integrated ecosystem assessments and to assess the suitability of current cumulative impact assessments as a proxy for condition. Aggregated fish indicators demonstrated greater sensitivity to varying human pressures compared with benthic community indicators, with responsiveness differing by location. Notably, site‐level differences in empirical condition emerged that broad‐scale cumulative assessments often missed. The study thus highlighted the varying suitability of cumulative impact scores as proxies for condition, indicating their reliability for fish communities. However, this is also dependent on the pressure types included, the biotic indicators used and the area of focus. Conservation decisions based solely on cumulative impact scores could misrepresent the actual condition of the environment, which makes it difficult to make management decisions, especially at finer scales. As such, conservation initiatives need to be regionally adapted to effectively address the unique pressures and conditions of each area and should be tailored to account for fine‐scale variability, instead of adopting a one‐size‐fits‐all approach.

Sociocultural valuation of human impacts on marine ecosystems: the case of the National Marine Park of Alonissos in Greece

ABSTRACT Conservation priority ecosystem components provide multiple ecosystem services. However, different human activities have placed significant pressures on marine ecosystems and the biodiversity they support, resulting in the degradation of the respective services. In the present study, we combine a choice experiment for the valuation of related ecosystem services with the Cumulative Impact Assessment method, to estimate the value of human impacts on three conservation priority habitats (the seagrass meadows, the gorgonian forests and the coralligenous reefs) of the National Marine Park of Alonissos Northern Sporades in Greece. The results indicate significant values and thus raise flags for more effective decisions related to environmental policies, such as the Programmes of Measures under the Marine Strategy Framework Directive.

The Cumulative Impacts of Emissions from Thermal Power Plants on the Air Quality of Karachi through AERMOD Modeling.

The quality of air emissions in Pakistani mega cities is one of the worst in the world. Urban air contamination is assessed to be responsible of 0.865 M unexpected losses consistently and about 60% of these passing’s happen in Asia, continuous increase in urbanization, industrialization and motorization caused a substantial rise in various air pollutants, which has notable impacts on human health and environment. Environmental Impact Assessment is mandatory for future projects in Pakistan, but Cumulative Impact Assessment (CIA) process is not available in the country, the mega city like Karachi needs strict criteria to overcome the air quality issue on priority basis therefore, AERMOD Model along with ArcGIS have been used to provide a practical CIA tool to Sindh Environmental Protection Agency. In this study five proposed thermal power plants of total 3440-50 MW were selected where two types of cumulative impacts were modeled. The short-term cumulative impacts of Nitrous Oxides (NOx) and Sulphur Dioxide (SO2) were considered as 1-h and 24- h, whereas long term were considered as annual. The results of NOx emissions were 170 μg/m3 for 1st percentile 1-h, 33 μg/m3 for 1st percentile 24-h and 1st percentile annual was 14.5 μg/m3. While the SO2 emissions were 199 μg/m3 for 1st percentile 1-h, 29.8 μg/m3 for 1st percentile 24-h and long-term 1st percentile annual was 7.5 μg/m3 respectively. All the limits are complying with national and international standards because, the wind speed (5-8 m/s) and wind direction has a substantial impact on flow field which results in lowering the ground level concentrations of the pollutants in the study area. This is further caused by the strong sea breeze from the Arabian Sea which is termed as blessing for the residents of the study area.

Thinking outside the ocean-climate nexus: Towards systems-informed decision making in a rapidly changing world

Despite repeated calls for more inclusive practices, approaches used to address current challenges within the ocean-climate nexus do not sufficiently account for the complexity of the human-social-ecological system. So far, this has prevented efficient and just decision-making and policies. We propose to shift towards systems-informed decision making, which values transdisciplinary system-thinking and cumulative impact assessments, and encourages multi-system collaboration among decision-makers in order to address the recurring technicality of policies and to foster just solutions that account for the needs of varied actors across the sustainable development spectrum.

SCAIRM: A spatial cumulative assessment of impact risk for management

This study introduces SCAIRM, a Spatially explicit Cumulative Impact Assessment method specifically developed for application to guide Ecosystem-Based Management. The method incorporates relevant human activities, their pressures and their impacts on ecosystem components. Cumulative assessment methods usually apply categorical semi-quantitative scores based on expert judgement in order to be comprehensive, or alternatively, only cover a small subset of interactions using more sophisticated quantitative information. The SCAIRM approach aims to capture 'the best of both worlds': it builds on categorical risk-based approaches, but modified such that their outcome, i.e. Impact Risk from cumulative pressures, is conceptually identical to the outcome from the quantitative approaches. This allows harmonization of qualitative and quantitative approaches into a single method, that has the advantage that it is comprehensive and can be used in data-poor situations while allowing the use of available quantitative information in more data-rich situations. It results in an improved capacity to inform policy or provide operational-centric guidance required for the essentially sectoral management. The method was applied to the North Sea ecosystem as an illustrative example of the typical output of most Cumulative Impact Assessments: indicating the ecosystem components mostly under threat, and the main activities and their pressures responsible for it. To that end, SCAIRM provides an assessment outcome expressed in ecologically meaningful terms, i.e. potential change in state compared to an undisturbed situation, implying all receptors except the pelagic water column to be potentially “endangered” (more than 50% decrease) and requiring conservation efforts. A decision tree was developed to guide management towards an increased effectiveness showing that much of the Impact Risk (41%) is caused by few well-known stressors (7%) that are difficult to mitigate but a remaining 29% of the Impact Risk from many often lesser-known stressors (59%) where management is likely to perform better.

Assessment of urbanization impact on cultural heritage based on a risk-based cumulative impact assessment method

Urbanization is inevitable in both developing and developed countries. However, this growth and transformation of the urban area can pose a significant threat to urban cultural heritage, which is a sensitive component of the urban environment. As cities modernize and change, a risk of irreparable loss of cultural heritage exists. Therefore, taking steps to protect and preserve these sites for posterity is crucial. To better protect urban cultural heritage, decision-makers must rapidly assess the impact of urbanization on cultural heritage while maintaining a balance between cultural heritage preservation and urban growth. This study developed a risk-based cumulative impact assessment (CIA) method that integrates a set of quantifiable indicators to address these issues. This method generates standardized assessment results based on game theory and set pair analysis theory. In contrast to other CIA methods, this risk-based approach effectively manages scientific complexity and uncertainties, thus enhancing the quality of the assessment results. This method was applied to 21 classical gardens in Suzhou, China. The results show that Suzhou classical gardens are impacted by urbanization. This study confirmed that adopting a risk-based CIA method that considers the impact of adverse urbanization on cultural heritage sites is an efficient approach. Successful implementation of the proposed method can provide decision-making support for different types of cultural heritage in other areas.

Setting the scene for a multi-map toolset supporting maritime spatial planning by mapping relative cumulative impacts on ecosystem service supply

The aim of this paper is to provide the foundations for the development of a spatial decision-support toolset that combines cumulative impacts and ecosystem service supply assessments to support what-if scenario analysis in a maritime spatial planning context. Specifically, a conceptual framework for a toolset has been designed in order to introduce a new approach for place-based assessments of change in relative ecosystem service supply in multiple services at a time due to changes in cumulative impacts. Central to the toolset are two pre-existing approaches for relative ecosystem service supply and cumulative impact assessments and tools that facilitate them. The tools take advantage of available data from various sources, including geodata and expert knowledge, and have already been proven to support maritime spatial planning in a real-world context. To test the new approach and demonstrate the outputs, an ecosystem service supply assessment was done manually using the two currently separate tools. The results of the test case ecosystem service supply assessment for the Gulf of Riga in the Baltic Sea are also presented in this paper and illustrate the assessment steps and data needs. Although presently the focus of the illustrative assessment is the Gulf of Riga, the toolset will be able to accommodate analysis of cumulative impacts and service supply of any location, leaving the scope of the assessment to be determined by the objectives of the assessment as well as data availability (i.e., geospatial data availability and extent of expert knowledge).

Cumulative effects of offshore renewables: From pragmatic policies to holistic marine spatial planning tools

To alleviate climate change consequences, the UK government is pioneering offshore renewable energy developments at an ever-increasing pace. The North Sea is a dynamic ecosystem with strong bottom-up/top-down natural and anthropogenic drivers facing rapid climate change impacts. To ensure the compatibility of such large-scale developments with nature conservation obligations, regulatory processes set out that all effects need to be evaluated through cumulative impact assessments (CIA). However, by excluding climate change impacts and bottom-up effects of renewable developments, the CIA lacks spatio-temporal baselines linking oceanic ecosystem indicators to population dynamics, leading to uncertain predictions at population levels. CIA is currently required in Europe under the Strategic Environmental Assessment and the Marine Strategy Framework Directive (MSFD), suggesting that these two policy areas should be more closely aligned. This study presents an overview of the current CIA policy framework, enabling an ecosystem-based approach linking lower ecosystem components to top-predator populations using the UK as a case study. At the UK level, CIA requirements mirror the EU ones under the Marine and Coastal Access Act, the UK Marine Policy Statement, and the UK National Policy Statement. Firstly, we show how CIA and MSFD requirements are integrated into the UK licensing and maritime planning frameworks. Secondly, we provide policy pathways embedding the MSFD as a baseline for CIAs with European and UK regulations. Thirdly, we propose a framework encompassing a shared monitoring effort, an ecosystem modelling approach connected with two existing online databases supported with funds from Contracts for Difference. This integrated approach will enable a holistic and pragmatic ecosystem-based framework for more accurate and rapid methods for producing CIAs for offshore renewable energy developments.

Effects of small hydropower dams on macroinvertebrate and fish assemblages in southern Brazil

Abstract Hydropower dams affect freshwater biodiversity by virtue of modifying flow regimes and degrading habitat conditions both above and below the water impoundment and diversion structure. In recent decades, there has been a global proliferation of Small Hydropower Plants (SHPs) propelled by incentive policies and a general perception that small dams are less harmful to the environment. However, limited science is available on the effects of SHPs on freshwater biodiversity, which is concerning considering their sheer numbers and the high variability in the size and operation of dams classified as SHPs. We investigated the ecological effects of 12 SHPs on macroinvertebrate and fish assemblages of the Chapecó River Basin, Brazil. Our study included sites located upstream of the SHPs and sites directly affected by their operations (i.e., reservoir, dewatering section and downstream of the powerhouse). This design allowed us to quantify shifts in taxonomic composition and examine the relative role of different SHP attributes (e.g., dam height, reservoir area, age) in explaining these changes. Our results reveal that SHPs modify the composition of both macroinvertebrate and fish assemblages, but the magnitude of such changes vary widely among dams. Both assemblages exhibited directionality in taxonomic shifts, resulting in a gradual replacement of taxa associated with fast‐flowing habitats by other groups more commonly associated with standing waters. We also found that changes in assemblage structureare related to structural (dam height, reservoir area) and spatial attributes (distance from headwaters) of SHPs, although the predictive power of these attributes varied taxonomically and among reservoir, dewatering and downstream sites. Overall, our results demonstrate that SHPs have important and heterogeneous effects on freshwater assemblages, which may manifest individually or cumulatively across the riverscape. This suggests that it is unlikely that a priori classifications of dams based on their structural attributes can replace site‐specific and cumulative impact assessments. The results also shed light on the need for better understanding of how SHP attributes shape their ecological effects, so that a full assessment of the potential environmental impacts of the wide range of "small" dams is possible.

A quantitative approach on environment-food nexus: integrated modeling and indices for cumulative impact assessment of farm management practices.

Best management practices (BMPs) are promising solutions that can partially control pollution discharged from farmlands. These strategies, like fertilizer reduction and using filter strips, mainly control nutrient (N and P) pollution loads in basins. However, they have secondary impacts on nutrition production and ecosystem. This study develops a method to evaluate the cumulative environmental impacts of BMPs. It also introduces and calculates food's environmental footprint (FEF) for accounting the total environmental damages per nutrition production. This study combines the soil and water assessment tool (SWAT) for basin simulation with the indices of ReCiPe, a life cycle impact assessment (LCIA) method. By these means, the effectiveness of BMPs on pollution loads, production yields, and water footprints (WFs) are evaluated and converted as equivalent environmental damages. This method was verified in Zrebar Lake, western Iran. Here, water consumption, as WFs, and eutrophication are the main indices that are converted into equivalent health and ecological impairments. Two methods, entropy and environmental performance index (EPI), are used for weighting normalized endpoints in last step. Results showed that using 25-50% less fertilizer and water for irrigation combined with vegetated filter strips reduce N and P pollution about 34-60% and 8-21%, respectively. These can decrease ecosystem damages by 5-9% and health risks by 7-14%. Here, freshwater eutrophication is a more critical damage in ecosystem. However, using less fertilizer adversely reduces total nutrition production by 1.7-3.7%. It means that BMPs can decline total ecological damages and health risks, which threatens nutrition production. FEF presents a tool to solve this dilemma about the sustainability of BMPs. In the study area, a 4-9% decrease in FEF means that BMPs are more environmental friendly than nutrition menacing. Finally, this study concludes that SWAT-ReCiPe with FEF provides a quantitative framework for environment-food nexus assessment. However, due to the uncertainties, this method is recommended as a tool for comparing management strategies instead of reporting certain values.

Post-Construction, Hydromorphological Cumulative Impact Assessment: An Approach at the Waterbody Level Integrating Different Spatial Scales

The environmental impact assessment is a process required in many countries. It highlights future activities with a significant impact on the environment. Water, as an environmental factor, needs adequate methods for quantifying cumulative impact of hydrotechnical works. In most cases, for new developments, baseline data is collected before the beginning of the construction, but for waterworks already in place, a different approach is needed. In line with the EU Water Framework Directive (Directive 2000/60/EC), the overall purpose of the research is to develop an approach for the hydromorphological cumulative impact assessment integrating different spatial scales for existing water intakes with transversal barriers on mountain rivers in Romania. Being a research study developed for a specific issue—post-construction impact assessment, some innovative actions were required. Lack of information in the pre-construction phase was an important constraint. Customizing formulas of certain indicators established within the Romanian method for hydromorphological status assessment of rivers proved to be a practical solution to show both local and waterbody hydromorphological impact. Upscaling the impact from the local scale to the river sector and the waterbody allows awareness of the spatial extent of the impact and understanding of the importance of the thresholds of significant impact for a broader audience. In order to better highlight the approach, this paper shows practical examples. The whole chain of the drivers–pressures–state–impacts–responses (DPSIR) framework is applied in the case of two river water bodies with hydropower generation facilities in place. In addition, some recommendations for actions are provided.

Introduction of Cumulative Impact Assessment

Introduction of Cumulative Impact Assessment

New strategic framework to structure Cumulative Impact Assessment (CIA)

In order to alleviate climate change consequences, UK governments are pioneering offshore energy developments with increasing commitment. The North Sea is a dynamic ecosystem with strong bottom-up/top-down natural and anthropogenic drivers facing rapid climate change impacts. Therefore, to ensure the compatibility of such large-scale developments with nature conservation obligations, cumulative effects need to be evaluated through cumulative impact assessments (CIA). However, by excluding climate change impacts, CIA lacks spatio-temporal appropriate baselines linking ecosystem components (e.g. physical indicators) to population dynamics which leads to uncertain predictions at populations levels. This study presents an overview of a framework for CIA using a holistic and pragmatic ecosystem approach based on spatio-temporal Bayesian network in order to identify pressure pathways, keystone components, ecosystem connectivity and resilience as well as population-level changes. We will also present potential fine-scale environmental monitoring solutions and data sources generated at MRED (Marine Renewable Energy Developments) site levels. Finally, we will discuss the usefulness of the two components that make up this framework: a database and an application of standardised shared tools that will pave the way to more transparent and multi-disciplinary collaborations. This framework will provide a multi-dimensional decision-making toolkit that would also lead towards more efficient SEAs (Strategic Environmental Assessment) as well as providing the ability to embed the CIAs of projects into regional and multinational schemes.