- Systematic Map Protocol
- Open Access
Evidence of the impacts of metal mining and the effectiveness of mining mitigation measures on social–ecological systems in Arctic and boreal regions: a systematic map protocol
Environmental Evidencevolume 8, Article number: 9 (2019)
Mining activities, including prospecting, exploration, construction, operation, maintenance, expansion, abandonment, decommissioning and repurposing of a mine can impact social and environmental systems in a range of positive and negative, and direct and indirect ways. Mining can yield a range of benefits to societies, but it may also cause conflict, not least in relation to above-ground and sub-surface land use. Similarly, mining can alter environments, but remediation and mitigation can restore systems. Boreal and Arctic regions are sensitive to impacts from development, both on social and environmental systems. Native ecosystems and aboriginal human communities are typically affected by multiple stressors, including climate change and pollution, for example.
We will search a suite of bibliographic databases, online search engines and organisational websites for relevant research literature using a tested search strategy. We will also make a call for evidence to stakeholders that have been identified in the wider 3MK project (https://osf.io/cvh3u/). We will screen identified and retrieved articles at two distinct stages (title and abstract, and full text) according to a predetermined set of inclusion criteria, with consistency checks at each level to ensure criteria can be made operational. We will then extract detailed information relating to causal linkages between actions or impacts and measured outcomes, along with descriptive information about the articles and studies and enter data into an interactive systematic map database. We will visualise this database on an Evidence Atlas (an interactive, cartographic map) and identify knowledge gaps and clusters using Heat Maps (cross-tabulations of important variables, such as mineral type and studied impacts). We will identify good research practices that may support researchers in selecting the best study designs where these are clear in the evidence base.
On the impacts of mining
Mining activities, including prospecting, exploration, construction, operation, maintenance, expansion, abandonment, decommissioning and repurposing of a mine can impact social and environmental systems in a range of positive and negative, and direct and indirect ways. Mine exploration, construction, operation, and maintenance may result in land-use change, and may have associated negative impacts on environments, including deforestation, erosion, contamination and alteration of soil profiles, contamination of local streams and wetlands, and an increase in noise level, dust and emissions (e.g. [1,2,3,4,5]). Mine abandonment, decommissioning and repurposing may also result in similar significant environmental impacts, such as soil and water contamination [6,7,8]. Beyond the mines themselves, infrastructure built to support mining activities, such as roads, ports, railway tracks, and power lines, can affect migratory routes of animals and increase habitat fragmentation [9, 10].
Mining can also have positive and negative impacts on humans and societies. Negative impacts include those on human health (e.g. ) and living standards , for example. Mining is also known to affect traditional practices of Indigenous peoples living in nearby communities , and conflicts in land use are also often present, as are other social impacts including those related to public health and human wellbeing (e.g. [14,15,16,17]. In terms of positive impacts, mining is often a source of local employment and may contribute to local and regional economies [18, 19]. Remediation of the potential environmental impacts, for example through water treatment and ecological restoration, can have positive net effects on environmental systems . Mine abandonment, decommissioning and repurposing can also have both positive and negative social impacts. Examples of negative impacts include loss of jobs and local identities , while positive impact can include opportunities for new economic activities , e.g. in the repurposing of mines to become tourist attractions.
‘Mitigation measures’ (as described in the impact assessment literature) are implemented to avoid, eliminate, reduce, control or compensate for negative impacts and ameliorate impacted systems . Such measures must be considered and outlined in environmental and social impact assessments (EIAs and SIAs) that are conducted prior to major activities such as resource extraction [24, 25]. Mitigation of negative environmental impacts in one system (e.g. water or soil) can influence other systems such as wellbeing of local communities and biodiversity in a positive or negative manner . A wide range of technological engineering solutions have been implemented to treat contaminated waters (e.g. constructed wetlands , reactive barriers treating groundwater , conventional wastewater treatment plants). Phytoremediation of contaminated land is also an area of active research .
Mitigation measures designed to alleviate the negative impacts of mining on social and environmental systems may not always be effective, particularly in the long-term and across systems, e.g. a mitigation designed to affect an environmental change may have knock on changes in a social system. Indeed, the measures may have unintentional adverse impacts on environments and societies. To date, little research appears to have been conducted into mitigation measure effectiveness, and we were unable to find any synthesis or overview of the systems-level effectiveness of metal mining mitigation measures.
Mining in the Arctic
Boreal and Arctic regions are sensitive to impacts from mining and mining-related activities [29, 30], both on social and environmental systems: these northern latitudes are often considered harsh and thus challenging for human activities and industrial development. However, the Arctic is home to substantial mineral resources [31, 32] and has been in focus for mining activities for several 100 years, with a marked increase in the early 20th century and intensifying interest in exploration and exploitation in recent years to meet a growing global demand for metals (Fig. 1). Given the region’s geological features and society’s need for metals, resource extraction is likely to dominate discourse on development of northern latitudes in the near future. As of 2015, there were some 373 mineral mines across Alaska, Canada, Greenland, Iceland, The Faroes, Norway (including Svalbard), Sweden, Finland and Russia (see Table 1), with the top five minerals being gold, iron, copper, nickel and zinc .
Many topics relating to mining and its impacts on environmental and social systems are underrepresented in the literature as illustrated by the following example. The Sami people are a group of traditional people inhabiting a region spanning northern Norway, Sweden, Finland and Russia. Sami people are affected by a range of external pressures, one of which pertains to resource extraction and land rights, particularly in relation to nomadic reindeer herding. However, there is almost no published research on the topic .
The literature on the environmental and social impacts of mining has grown in recent years, but despite its clear importance, there has been little synthesis of research knowledge pertaining to the social and environmental impacts of metal mining in Arctic and boreal regions. The absence of a consolidated knowledge base on the impacts of mining and the effectiveness of mitigation measures in Arctic and boreal regions is a significant knowledge gap in the face of the continued promotion of extractive industries. There is thus an urgent need for approaches that can transparently and legitimately gather research evidence on the potential environmental and social impacts of mining and the impacts of associated mitigation measures in a rigorous manner.
This systematic map forms a key task within a broader knowledge synthesis project called 3MK (Mapping the impacts of Mining using Multiple Knowledges, https://osf.io/cvh3u/). The stakeholder group for this map includes representatives of organisations affected by the broader 3MK project knowledge mapping project or who have special interests in the project outcome. We define stakeholders here as all individuals or organisations that might be affected by the systematic map work or its findings [35, 36], and thus broadly includes researchers and the Working and Advisory Group for this project.
Invitations to be included in this group were based on an initial stakeholder mapping process and soliciting expressions of interest (see Stakeholder Engagement Methodology Document, https://osf.io/cvh3u/). This group included government ministries and agencies such as the Ministry of Enterprise and Innovation, the Mineral Inspectorate (Bergstaten) and County Administrative Boards, the mining industries’ branch organisation (Svemin) and individual companies such as LKAB Minerals and Boliden AB, Sami organisations, including the Sami Parliament, related research projects, and representatives of international assessment processes, such as activities within the Arctic Council. Stakeholders were invited to a specific meeting (held at Stockholm Environment Institute in September 2018) to help refine the scope, define the key elements of the review question, finalise a search strategy, and suggest sources of evidence, and also to subsequently provide comments on the structure of the protocol .
Objective of the review
The broader 3MK project aims to develop a multiple evidence base methodology  combining systematic review approaches with documentation of Indigenous and local knowledge and to apply this approach in a study of the impacts of metal mining and impacts of mitigation measures. This systematic map aims to answer the question:
What research evidence exists on the impacts of metal mining and its mitigation measures on social and environmental systems in Arctic and boreal regions?
The review question has the following key elements:
- Population: :
Social, technological (i.e. industrial contexts, heavily altered environments, etc.) and environmental systems in circumpolar Arctic and boreal regions.
- Intervention/exposure: :
Impacts (direct and indirect, positive and negative) associated with metal mining (for gold, iron, copper, nickel, zinc, silver, molybdenum and lead) or its mitigation measures. We focus on these metals as they represent approximately 88% of Arctic and boreal mines (according to relevant country operating mine data from 2015, ), and contains the top 5 minerals extracted in the region (gold, iron, copper, nickel and zinc). Furthermore, these minerals include all metals mined within Sweden, the scope of a related workstream within the broader 3MK project (https://osf.io/cvh3u/).
- Comparator: :
For quantitative research; the absence of metal mining or metal mining mitigation measures—either prior to an activity or in an independent, controlled location lacking such impacts. Additionally, alternative mining systems is a suitable comparator. For qualitative research; comparators are typically implicit, if present and will thus not be required.
- Outcome: :
Any and all outcomes observed in social and environmental systems described in the literature will be iteratively identified and catalogued.
- Data type: :
Both quantitative and qualitative research will be included.
The review will follow the Collaboration for Environmental Evidence Guidelines and Standards for Evidence Synthesis in Environmental Management  and it conforms to ROSES reporting standards  (see Additional file 1).
Searching for articles
Bibliographic database searches
We will search bibliographic databases using a tested search string adapted to each database according to the necessary input syntax of each resource. The Boolean version of the search string that will be used in Web of Science Core Collections can be found in Additional file 2.
We will search across 17 bibliographic databases as show in Table 2. Bibliographic database searches will be performed in English only, since these databases catalogue research using English titles and abstracts.
Web-based search engines
Searches for academic (i.e. file-drawer) and organisational grey literature (as defined by ) will be performed in Google Scholar, which has been shown to be effective in retrieving these types of grey literature . The search strings used to search for literature in Google Scholar are described in detail in Additional file 3.
Search results will be exported from Google Scholar using Publish or Perish , which allows the first 1000 results to be exported. These records will be added to the bibliographic database search results prior to duplicate removal.
In order to identify organisational grey literature, we will search for relevant evidence across the suite of organisational websites listed in Table 3. For each website, we will save the first 100 search results from each search string as PDF/HTML files and screening the results in situ, recording all relevant full texts for inclusion in the systematic map database. The search terms used will be based on the same terms used in the Google Scholar searches described above but will be adapted iteratively for each website depending on the relevance of the results obtained. In addition, we will hand search each website to locate and screen any articles found in publications or bibliography sections of the sites. All search activities will be recorded and described in the systematic map report.
Relevant reviews that are identified during screening will be reserved for assessment of potentially missed records. Once screening is complete (see below), we will screen the reference lists of these reviews and include relevant full texts in the systematic map database. We will also retain these relevant reviews in an additional systematic map database of review articles.
Estimating the comprehensiveness of the search
A set of 41 studies known to be relevant have been provided by the Advisory Team and Working Group (review team); the benchmark list (see Additional file 4). During scoping and development of the search string, the bibliographic database search results will be checked to ascertain whether any of these studies were not found. For any cases where articles on the benchmark list are missed by the draft search string, we will examine why these studies may have been missed and adapt the search string accordingly.
We will perform a search update immediately prior to completion of the systematic map database (i.e. once coding and meta-data is completed). The search strategy for bibliographic databases will be repeated using the same search string, restricting searches to the time period after the original searches were performed. New search results will be processed in the same way as original search results.
Assembling a library of search results
Following searching, we will combine results in a review management platform (e.g. EPPI-Reviewer) and duplicates will be removed using a combination of automated removal and manual screening.
Article screening and study eligibility criteria
We will screen records at three levels: title, abstract and full text. Screening will be performed using a review management platform (e.g. Rayyan, EPPI Reviewer, Colandr).
A subset of 10% of all titles and abstracts will be screened by two reviewers, with all disagreements discussed in detail. Refinements of the inclusion criteria will be made in liaison with the entire review team where necessary. A kappa test will be performed on the outputs of screening of this subset and where agreement is below k = 0.6, a further 10% of records will be screened and tested. Only when a kappa score of greater than 0.6 is obtained will a single reviewer screen the remaining records. Consistency checking on a subset of 10% will be undertaken at full text screening in a similar manner, followed by discussion of all disagreements. A kappa test will be performed and consistency checking repeated on a second subset of 10% where agreements is below k = 0.6. Consistency checking will be repeated until a score of greater than 0.6 is obtained.
The following inclusion criteria will be used to assess relevance of studies identified through searching. All inclusion criteria will be used at full text screening, but we believe that data type and comparator are unlikely to be useful at title and abstract screening, since this information is often not well-reported in titles or abstracts.
- Eligible population: :
We will include social, technological and environmental systems in Arctic and boreal regions based on political boundaries as follows (this encompasses various definitions of boreal zones, rather than any one specific definition for comprehensiveness and ease of understanding): Canada, USA (Alaska), Greenland, Iceland, the Faroe Islands, Norway (including Svalbard), Sweden, Finland, and Russia.
- Eligible intervention/exposure: :
We will include all impacts (positive, negative, direct and indirect) associated with any aspect of metal mining and its mitigation measures. We will include research pertaining to all stages of mining, from prospecting onwards as follows: prospecting, exploration, construction, operation, maintenance, expansion, abandonment, decommissioning, reopening and repurposing. Eligible mines will include those of gold, iron, copper, nickel, zinc, silver, molybdenum and lead.
- Eligible comparator: :
For quantitative research; the absence of metal mining or metal mining mitigation measures—either prior to an activity or in an independent, controlled location lacking such impacts. For qualitative research; comparators are typically implicit, if present and will thus not be required.
- Eligible outcome: :
Any and all outcomes (i.e. measured impacts) observed in social, technological and environmental systems will be included.
- Eligible data type: :
We will include both quantitative and qualitative research.
- Eligible study type: :
We will include both primary empirical research and secondary research (reviews will be catalogued in a separate database). Modelling studies and commentaries will not be included.
For all articles excluded at title and abstract or full text levels, reasons for exclusion will be provided in the form of one or more a priori exclusion criteria as follows:
Exclude, not Arctic or boreal (population).
Exclude, no primary data (i.e. commentary, modelling article or similar) (study type).
Exclude, no comparator [for quantitative studies only].
Exclude, not mining or mining mitigation measures (intervention/exposure).
Exclude, not relevant metal mining (intervention/exposure) [this category is related to the above intervention/exposure exclusion criteria but will only be selected where all other criteria are met, facilitating expansion of the map in the future].
Exclude, not an existing mine (planned or unrealised mining activity).
Full text retrieval
We will attempt to retrieve full texts of relevant abstracts using Stockholm University and Carleton University library subscriptions. Where full texts cannot be readily retrieved this way (or via associated library inter-loan networks), we will make use of institutional access provided to our Advisory Team members, including: University College London, KTH, University of Lapland, and SLU. Where records still cannot be obtained, requests for articles will be sent to corresponding authors where email addresses are provided and/or requests for full texts will be made through ResearchGate.
Study validity assessment
This systematic map will not involve an assessment of study validity (an optional part of systematic maps), although some extracted meta-data and coding will relate to internal validity.
Demonstrating procedural objectivity
None of the review team has authored or worked on research within this field prior to starting this project, but members of the Advisory Team and project Working Group will be prevented from providing advice or comments relating specifically to research papers to which they may have contributed.
Data coding strategy
We will extract and code a range of variables, outlined in Table 4. All meta-data and coding will be included in a detailed systematic map database, with each line representing one study-location (i.e. each independent study conducted in each independent location).
Meta-data extraction and coding will be performed by multiple reviewers following consistency checking on an initial coding of subset of between 10 and 15 full texts, discussing all disagreements. The remaining full texts will then be coded. If resources allow we may contact authors by email with requests for missing information.
Study mapping and presentation
We will display the results of the systematic mapping using a ROSES flow diagram . We will narratively synthesise the relevant evidence base in our systematic map using descriptive plots and tables showing the number of studies identified across the variables described above. For more complex data, we will use heat maps to display the volume of evidence across multiple variables (see “Knowledge gap and cluster identification strategy”, below).
We will display the contents of our systematic map database in an Evidence Atlas; an interactive, web-based geographical information system showing all meta-data and coding on a cartographic map.
Knowledge gap and cluster identification strategy
We will use interactive heat maps (pivot charts) to display the volume of evidence across multiple dimensions of meta-data in order to identify knowledge gaps (sub-topics un- or under-represented by evidence) and knowledge clusters (sub-topics with sufficient evidence to allow full synthesis). Examples of meta-data variables that will be used together include (this is an indicative rather than exhaustive list):
Study location (country or broad region) versus outcome.
Study location (country or broad region) versus mine type.
Study location (country or broad region) versus data/study type.
Outcome versus mine type.
Outcome versus data/study type.
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NRH drafted the manuscript. All authors read and approved the final manuscript.
We thank the project Advisory Team for comments on the project and the draft: the team consisted of Dag Avango, Steven Cooke, Sif Johansson, Rebecca Lawrence, Pamela Lesser, Björn Öhlander, Kaisa Raito, Rebecca Rees, and Maria Tengö. We also thank the 3MK stakeholder group for valuable input. We also thank Mistra EviEM for co-funding the first Advisory Group meeting and publication fees for the systematic map.
The authors declare they have no competing interests.
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This manuscript is part of a project (3MK: Mapping the impacts of Mining using Multiple Knowledges) funded by a Formas Open Call Grant (2017-00683).
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