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Learning is considered as a promising mechanism to cope with rapid environmental change. The implications of learning for natural resource management (NRM) have not been explored in-depth and the evidence on the topic is scattered across multiple sources. We provide a qualitative review of types of learning outcomes and consider their manifestations in NRM across selected empirical literature. We conducted a systematic search of the peer-reviewed literature (N=1,223) and a qualitative meta- synthesis of included articles, with an explicit focus on learning outcomes and NRM changes (N=53). Besides social learning, we found several learning concepts used, including policy and transformative learning, and multiple links between learning and NRM reported. We observe that the development of skills, together with a system approach involving multi-level capacities, is decisive for implications of learning for NRM. Future reviews could systematically compare how primary research applies different learning concepts and discusses links between learning and NRM changes.
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Suškevičs, M., Hahn, T., Rodela, R., Macura, B., Pahl-Wostl, C. 2018. Learning for social-ecological change: A
qualitative review of outcomes across empirical literature in natural resource management. Journal of
Environmental Planning and Management 61(7): 1085-1112.
https://doi.org/10.1080/09640568.2017.1339594
Learning for social-ecological change: A qualitative review of outcomes across empirical
literature in natural resource management
Suškevičs, Monikaa,b *; Hahn, Thomasa; Rodela, Rominac,d; Macura, Biljanae; Pahl-Wostl,
Claudiaf
a Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden; b Institute of Agricultural and
Environmental Sciences, Estonian University of Life Sciences, Tartu, Estonia; c School of Natural Sciences,
Technology and Environmental Studies, Södertörn University, Huddinge, Sweden; d Laboratory of Geo-
Information Science and Remote Sensing, Wageningen University, Wageningen, the Netherlands; e MISTRA-
EviEM, Stockholm Environment Institute, Stockholm, Sweden; f Institute of Environmental Systems Research,
University of Osnabrück, Osnabrück, Germany
* Corresponding author, e-mail: monika.suskevics@emu.ee
Abstract
Learning is considered as a promising mechanism to cope with rapid environmental change. The
implications of learning for natural resource management (NRM) have not been explored in-depth and
the evidence on the topic is scattered across multiple sources. We provide a qualitative review of types
of learning outcomes and consider their manifestations in NRM across selected empirical literature. We
conducted a systematic search of the peer-reviewed literature (N=1223) and a qualitative meta-synthesis
of included articles, with an explicit focus on learning outcomes and NRM changes (N=53). Besides
social learning, we found several learning concepts used, including policy and transformative learning,
and multiple links between learning and NRM reported. We observe that the development of skills,
together with a systems-approach involving multilevel capacities, are decisive for implications of
learning for NRM. Future reviews could systematically compare how primary research applies different
learning concepts and discusses links between learning and NRM changes.
Keywords: adaptive co-management; general resilience; institutional change; qualitative meta-
synthesis; transformative change
1. Introduction
Notions of learning are gaining attention across the literature on natural resource management
(NRM), e.g., adaptive co-management (Berkes 2009; Fabricius and Cundill 2014), but also in
specific research fields as is water management (Mostert et al. 2007), forestry (Dedeurwaerdere
2009) and others. One of the main arguments for expanding these research domains to the study
of learning is the assumption that there is potential in learning, as experienced by resource users,
to address challenges associated with complexity and uncertainty in NRM (Armitage et al.
2008; Brugnach and Ingram 2012). For example, social learning has been proposed as a
complementary governance mechanism to manage change in social-ecological systems (SES)
(see Brown 2014; Ison et al. 2015). However, blurred links between learning and sustainability
practices have frequently puzzled social-ecological research as well as NRM practice (Plummer
and Armitage 2007; Armitage et al. 2008; Kristjanson et al. 2013).
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The NRM literature employs different terms and concepts to study learning. The choice of the
concepts seems to relate to how assumptions about learning are linked to given outcomes. In
this field of inquiry, three broad conceptualisations social learning, transformative learning,
and policy learning are used most frequently in empirical research. We refer to these as
learning concepts.
These concepts vary across the contexts in which learning occurs. The difference is even more
pronounced when it comes to the types of outcomes learning is supposed to support as the
NRM literature often uses different learning concepts for instrumental purposes. Social
learning as a conceptual construct (see Rodela 2014) is probably the most widely used term
across the NRM literature. It denotes various collaborative and multi-loop processes leading to
topic-oriented and relational outcomes at individual and collective levels (see Keen and
Mahanty 2005; Muro and Jeffrey 2008; 2012), occasionally in relation to adaptive and
transformative change (Pahl-Wostl 2009; 2015). The theory of transformative learning (as from
Mezirow 1991) has also been applied in NRM research, sometimes in combination with notions
of social learning (e.g. Wilner et al. 2012; Marschke and Sinclair 2009; Rodela 2013).
Transformative learning has been used to emphasize two types of outcomes: change occurring
in individualsattitudes, values and frames of reference (Sinclair et al. 2008; Marschke and
Sinclair 2009; (Diduck et al. 2012), but also the change of practices or individual actions
(Wilner et al. 2012; Sinclair et al. 2008). Finally, theories of policy learning, deriving from
political science, have recently gained attention in NRM research (Gerlak and Heikkila 2011;
Sotirov and Memmler 2012). Policy learning theories usually seek to explain policy outcomes
at more generic levels, by focusing on the learning experience of state officials, policy
networks, or policy communities (Bennett and Howlett 1992; Hall 1993).
We provide a qualitative review of types of learning outcomes and consider their manifestations
in NRM across selected empirical literature. In doing so, we include various learning concepts
and NRM domains. Our approach adds to previous reviews in the following ways. First, while
earlier reviews have considered what constitutes a learning outcome across selected literature
(for instance: Cundill and Rodela 2012; Siebenhüner et al. 2016), links between learning
outcomes and their possible wider implications in NRM have not been explored in this way
before. Here, we review literature which has an explicit action-oriented focus that discusses
outcomes from learning. We are aware that much of the literature on learning originates from
disciplinary fields, e.g. psychology (van Boxtel et al. 2000), or sub-disciplines of pedagogy,
like adult learning (Mezirow 1991). We focus on the learning processes that can lead to both
types of outcomes: learning outcomes in terms of cognitive or relational change at the individual
level (usually elaborated in psychology) as well as on broader management and policy change
(frequently described in transdisciplinary fields such as NRM). Second, the conceptual
background in existing reviews of NRM-literature on learning has either relied on the
conceptual construct of social learning or on transformative learning theory (Sinclair et al. 2008;
Diduck et al. 2012). We make a step forward and include other relevant learning concepts, such
as policy learning, in our review, to explore a possible broader set of outcomes. Third, existing
reviews have mostly employed systematic mapping or surveys of the literature (e.g. Rodela
2011; Ensor and Harvey 2015; Siebenhüner et al. 2016). Here, we use a novel methodology and
undertake a qualitative in-depth exploration of included studies (N=53 publications). We
present a transparent and replicable methodology for a qualitative literature review and
synthesis applied for the first time in this field, to extract key aspects of interest.
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The review is divided as follows. In the next section, we introduce the analytical and
methodological approach that guided our systematic literature searches, qualitative analysis,
and synthesis. We then present and discuss our findings, and conclude with a reflection on the
potential implications of our analysis for future research.
2. Analytical framework
For the systematic search of peer-reviewed literature and the qualitative synthesis, we
developed an analytical framework with different categories of outcomes from learning (likely
to be elaborated in the empirical NRM literature) (Figure 1). The framework facilitated initial
classification of included articles and provided a basis for building a more comprehensive, and
empirically grounded, synthesis framework of different types of outcomes from learning (see
Section 4).
2.1. Learning outcomes
Current literature has described learning processes initiated top-down by government policies
(Bull et al. 2008), bottom-up by individual actors (Folke et al. 2005) or by researchers and other
‘external stakeholders (Fabricius and Cundill 2014). We suggest that learning processes,
including the scientific and political framing, participants, facilitation, resources, together with
various contextual factors, determine learning outcomes (Figure 1). Learning outcomes can
include cognitive changes (such as knowledge acquisition, altered individual beliefs: category
1.1 on Figure 1 and Table 1) and changes in relational dimensions, like the ways people relate
to each other, or feel about specific topics (attitudes) (category 1.2) (Pahl-Wostl et al. 2007);
Pahl-Wostl 2015). Moreover, learning outcomes often include the creation of shared knowledge
(Muro and Jeffrey 2008). Some authors, especially those writing about social learning and
transformative learning (e.g. Muro and Jeffrey 2008; 2012; Diduck et al. 2012), regard skills,
including relational abilities for conflict resolution and technical abilities (e.g. specific
expertise), as a separate learning outcome (category 1.3).
Cognitive, relational and skill-related changes are foremost associated with individual learners,
and may, or may not, induce concerted action (Kristjanson et al. 2013). In contrast, theories on
policy learning assume that learning agents are larger entities, such as policy networks or
governments (Bennett and Howlett 1992). To link individual learning outcomes with their
manifestations in NRM we added two categories of learning outcomes. First, action-orientation
(category 1.4) refers to learning outcomes manifested as networks, e.g. stakeholder alliances,
formed with the intentions to influence decision-making concerning specific NRM problems.
However, such networks, with the trust and leadership they generate, may also enhance wider
capacity beyond the specific initiative (category 1.5). This can result in tangible outcomes in
other policy arenas and can enhance general societal resilience, i.e. the adaptive and
transformative capacity of a society to respond to external pressures (Folke et al. 2010).
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Figure 1. Framework to guide analysis of types of learning outcomes and their manifestations in NRM.
2.2. Manifestations of learning outcomes in NRM
Practice-oriented changes in NRM are often considered as ultimate goals of learning-based
interventions (Koontz and Thomas 2006; Plummer and Armitage 2007). Yet, the question is:
Under which conditions does learning lead to tangible outcomes in the NRM domain? Policy
learning theories, for example, draw a rather direct link between learning and policy change.
Learning outcomes here can be altered preferences, beliefs or behavioural change of state
officials, but also new strategies, rules, or policies (Gerlak and Heikkila 2011). The literature
on transformative learning views learning foremost as a process whereby one’s worldview
changes, with the aim to “break from unsustainable human-environmental interactions”
(Diduck et al. 2012:172), but also to “effect changes in the system, in institutions, or in social
practices(Marschke and Sinclair 2009:207).
We understand learning-related NRM outcomes as manifestations of learning outcomes in the
NRM domain with three sub-categories: management change (category 2.1, Figure 1 and
Table 1), policy and institutional change (category 2.2), which are all ultimately targeted at
environmental change (category 2.3). We define management change as a change in the
operational decisions aimed at achieving specific goals (Armitage et al. 2012), i.e. a change in
practices concerning what is done in a specific situation (Borrini-Feyerabend et al. 2006).
Policy change evolves around agreements at different organisational levels, such as
management plans and other documents concerning future actions. Institutional change
includes changes in formal institutions, such as legislation, regulations and other officially
enforced subsidiary rules (Bromley 1991) but also in informal institutions, like social norms or
customs (Paavola 2007). The latter are not as tangible as formal institutions but can create
legitimacy for implementing them (Hahn 2011).
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Table 1. Summary of definitions of learning outcomes and their NRM manifestations.
Outcome type
Definition
Reference
Learning outcomes
1.1. Cognitive
change
Acquisition of knowledge by individuals and groups;
creation of shared knowledge on, e.g. how society depends
on ecosystems.
Pahl-Wostl et al.
2007; Muro and
Jeffrey 2008;
Pahl-Wostl 2015
1.2. Relational
change
Changes in individuals’ feelings towards each other, and
attitudes towards specific topics.
Pahl-Wostl et al.
2007; Muro and
Jeffrey 2008;
Pahl-Wostl 2015
1.3. Skill-
development
Changes in relational abilities for conflict resolution and
technical abilities, e.g. specific expertise.
Muro and Jeffrey
2008; 2012;
Diduck et al. 2012
1.4. Action-
orientation
Changes in networks, e.g. stakeholder alliances, formed with
the intentions to influence decision-making concerning
specific NRM problems.
Folke et al. 2010;
Crona and Parker
2012
1.5. Wider
capacities
Changes in wider social capacities beyond specific
initiatives; these can also result in tangible outcomes in other
policy arenas.
Plummer and
Armitage 2007;
Folke et al. 2010
NRM manifestations
2.1. Management
change
Changes in the operational decisions targeted at achieving
specific goals, i.e. changes in practices, what is done in a
given situation.
Borrini-
Feyerabend et al.
2006; Armitage et
al. 2012
2.2. Policy and
institutional change
Policy change achieved agreements, such as management
plans and other documents concerning future actions.
Institutional change changes in formal rules (e.g.
legislation) but also in informal institutions, like social
norms.
Bromley 1991;
Paavola 2007
2.3. Environmental
effects
Changes in environmental conditions, e.g. habitat, water or
air quality.
Koontz et al.
2006; Plummer
and Armitage
2007
However, it is not easy to separate learning outcomes from their manifestations in NRM, and
moreover, to trace them causally back to learning. For example, multi-stakeholder management
networks can foster voluntary action-oriented collaboration (i.e. direct learning outcome)
(Schultz et al. 2007), but the management plans such networks formulate can be viewed as
policy change (i.e. NRM change). There is also an attribution problem in establishing causal
links between processes and their outcomes (Plummer and Armitage 2007). This is due to the
characteristics of learning processes (e.g. their length, iterative nature) and the contextual
factors that may affect NRM outcomes, but are not directly related to learning. In our review,
we are interested in how links between different outcomes are constructed by the authors of the
included publications; however, we do not aim to investigate causal relationships between
learning and their outcomes.
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3. Methodology
To create a comprehensive evidence synthesis that captures relevant articles on learning
outcomes in the NRM literature, we combined several methodological approaches. We started
with a systematic literature search, adapting methods from systematic reviews (Petticrew and
Roberts 2006; Haddaway et al. 2015). The purpose was to capture all relevant empirical articles
discussing learning and outcomes related to NRM. We then applied qualitative meta-synthesis
(Hannes and Lockwood 2012), combining framework synthesis (deductive approach) with
principles from thematic and narrative synthesis (explorative and interpretive methodologies to
study the phenomena in-depth). Using a predefined set of criteria (Figure 2), the first author
searched the literature, screened, included and coded relevant studies. All decisions connected
to these review stages were regularly discussed with the second author and the others.
Differences in opinions were discussed and where needed, decisions were modified
accordingly.
Most of the reviewed publications are designed as qualitative case studies. This implies that
their methodological approach does not follow experimental and other similar setups which
would allow tracing causal relations better. Thus, we do not aim to test correlations or causal
links between learning and its outcomes; but aim to provide a qualitative summary and synthesis
of how these links have been described in the literature. For these reasons, we have also not
undertaken any validity appraisal of the included articles.
3.1. Systematic searches
We undertook a scoping search in the Web of Science (WoS) testing several search strings, to
find the most optimal and comprehensive combination of search terms for our research
objective. Our final search was conducted in November 2015 in the WoS Core Collection
database (citation indexes: SCIE, SSCI, CPCI-Sci, CPCI-SocSci & Hum, ESCI). We searched
on the topic (including keywords, titles, and abstracts) in the English language and with no time
limitations. Our final search string combined two substrings: terms referring to theories or
concepts of learning (1), and NRM domains (2).
(1) "social learning" OR "experiential learning" OR "participatory learning" OR "collaborative learning" OR
"societal learning" OR "transformative learning" OR "policy learning"
AND
(2) forest* OR ecosystem* OR ecolog* OR water OR biodiversity OR agricultur* OR wetland* OR
landscape* OR climate OR "land use" OR restor*
This string resulted in 1223 hits. Figure 2 depicts searching, screening, and inclusion process
and shows exclusion criteria. References were downloaded to endnote and screened for
relevance in two stages: first at the title and abstract, and later at the full-text level. We retrieved
full-text articles digitally (as PDF files) and where needed, we used subscription of Stockholm
University.
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Figure 2. Flowchart of searching, screening, and inclusion of relevant articles.
Titles and abstracts were screened to exclude non-NRM papers and explicitly conceptual
articles (Figure 2). Then, the remaining 164 abstracts were read again to exclude articles not
discussing learning outcomes and NRM manifestations, but focus on the learning process only.
The remaining 81 articles were read full-text. At this stage, we excluded 28 articles for not
discussing learning outcomes or NRM manifestations. We included 53 relevant articles for our
review (see Additional references for the reviewed publications).
3.2. Framework, thematic, and narrative syntheses
After including all relevant literature we employed a framework synthesis to guide the coding
of the 53 included articles. This was done according to the eight pre-determined outcome
categories (from 1.1 to 2.3 on Figure 1). Framework synthesis uses an a priori framework,
based on background literature, to extract and synthesise findings from primary studies (Carroll
et al. 2013), although new topics can be added to the framework during the synthesis.
Additionally, to gain a deeper understanding of how outcomes are discussed in the 53 articles,
we employed a more interpretative thematic and textual narrative syntheses (Paterson 2012).
First, thematic synthesis combines approaches from meta-ethnography and grounded theory
(Barnett-Page and Thomas 2009), using an explorative approach where themes are developed
by constant comparisons. For each of the eight outcome categories, we developed key themes
(Figure 4 below) by applying (1) line-by-line coding, searching for commonalities and
differences between the studies; (2) organising codes into descriptive themes, and (3)
developing analytical themes from descriptive themes (third-order interpretation). Second,
textual narrative synthesis is “an exploration of ways of understanding a particular phenomenon
across disciplines and research traditions” in which emerging storylines are identified within
the study domain (Paterson 2012:15). The approach strives to summarise different types of
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qualitative and quantitative data, reporting on study characteristics, the context and findings
according to a standard format, and comparing these across case studies (Barnett-Page and
Thomas 2009). Basic characteristics (e.g. bibliographic details, topical focus, theoretical and
methodological background) and the main topics of interest based on our research objective
were extracted in a spreadsheet that we used for the analysis. When presenting results from
thematic and narrative syntheses given in the following (Section 4), we provide many examples
and direct quotes to retain transparency and to show the original constructs used in the reviewed
studies.
3.3. Limitations
Before we present and discuss our findings, we identify some limitations of this review. First,
due to time and resource constrains we have not included scientific books or book chapters and
grey literature. Second, our literature search was confined to English. Hence, although our
sample is global, the resulting 53 articles are not exhaustive in representing all empirical
literature on learning in the field of NRM. Third, since the literature does not have common
definitions of terms on learning, it was difficult to design an efficient search strategy. Our initial
searches for “learning” returned an unmanageable number of hits (>400,000 hits in WoS).
Therefore we added seven NRM domains to the search string, to increase the precision of our
search. Fourth, search results inherently depend on the terminology used. For example, some
literature describes outcomes in the NRM domain, but instead of “learning” the abstracts
employ related concepts, like “stakeholder collaboration”, “trust-building”, “networking”,
“adaptive co-management” or “governance”, and were thus not captured in our search. Finally,
as the included articles rely on related, but still different, theoretical backgrounds, it was evident
that the different authors often use specific concepts (e.g. learning outcomes) differently.
Therefore, during coding and prior to the final categorisation of studies and development of
analytical themes we were constantly returning to the original studies to gain contextual
understanding.
4. Results and Discussion
4.1. General trends in the selected literature
We found and included 53 relevant articles in this review (see Additional references for the
reviewed publications for a full list). Most articles report single case studies, while some make
comparative analyses of several cases, sometimes in different regions (Figure 3d). Connecting
learning to NRM outcomes empirically seems to be a rather new research endeavour: the first
article in our sample was published in 2004 and overall, not many articles were published up to
2011 (Figure 3a). This research is coordinated by interdisciplinary research centres and
published in 29 different journals of which ‘Ecology & Society was the most common
(Appendices 1 and 2 [online supplemental data]).
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Figure 3. Distribution of included articles by a) publication year; b) learning concepts*; c) NRM
domains; d) region; e) methodological approach**; and f) types of evidence. Note: b)*Combined: social
+ policy learning; collaborative + social learning; social + societal learning; e)**Interventions: e.g.
participatory action research; government-led participation.
Reviewed publications rely prevalently on the conceptual construct of “social learning” (41
articles, Figure 3b), but also on theories of policy learning (6) and transformative learning (2).
Other learning concepts and terms were also used, such as collaborative learning” and “societal
learning”. In some articles, learning concepts were used in combination with each other.
The sample of selected articles covers a wide spectrum of NRM domains (Figure 3c). Similarly
to earlier reviews focused on the social learning literature (e.g. Rodela 2013) water management
(32%) is dominating, but surprisingly, climate governance, land use, and rural development are
also well-represented in our sample.
Most of the included articles were reporting on empirical cases from Europe (Figure 3d), mainly
the Netherlands (5 articles), Sweden (5) and Germany (4), but the sample also contained cases
from Latin America (e.g. Brazil, Peru, and Bolivia), Asia (e.g. Korea, Nepal, and India), Africa
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(e.g. South-Africa, Mozambique, and Mali), and there were seven cases from the US and two
from Canada.
As the methodological approaches, most of the reviewed articles (32) used interventions, e.g.
participatory action research or government-driven participation to activate learning and change
(Figure 3e). A smaller subset of articles was based on observations of emerging processes (e.g.
day-to-day decision-making). Most of the articles (35) employed qualitative research designs
with in-depth analysis of one or a small number of case studies (Figure 3f). Mixed-methods
research designs were employed to a lesser extent (17), combining qualitative and quantitative
approaches in standardized surveys or field experiments.
We now present and discuss the results from the qualitative meta-synthesis, which are
summarised below in the “synthesis framework (Figure 4).
4.2. Learning outcomes
Forty-two (79%) articles report on different types of learning outcomes (Table 2). In the
following four Sections (4.2.1.4.2.4.) we discuss the emerging themes for each outcome
category as identified in our analytical framework.
Table 2. Outcome categories in the analysed publications.
Learning outcomes
NRM manifestations
No.
Author(s)
Year
1.1.
Cogni-
tive
change
1.2.
Rela-
tional
change
1.3.
Skills
1.4.
Action-
orien-
tation
1.5. Wider
capacities
2.1.
Mana-
gement
change
2.2.
Policy &
institu-
tional
change
2.3.
Environ-
mental
effects
1
Albert et al.
2012
x
x
x
x
x
2
Alkan-
Olsson et
al.
2011
x
x
3
Armitage et
al.
2011
x
x
x
x
x
4
Balazs &
Lubell
2014
x
x
x
5
Benson et
al.
2016
x
6
Biedenweg
& Monroe
2013
x
x
x
x
7
Bos &
Brown
2012
x
x
x
x
8
Boyd et al.
2014
x
9
Cheng et al.
2011
x
x
x
x
x
x
10
Cundill
2010
x
11
D'Angelo &
Brunstein
2014
x
x
x
x
x
x
12
Dana &
Nelson
2012
x
x
13
Hahn et al.
2006
x
x
x
x
x
x
11
Learning outcomes
NRM manifestations
No.
Author(s)
Year
1.1.
Cogni-
tive
change
1.2.
Rela-
tional
change
1.3.
Skills
1.4.
Action-
orien-
tation
1.5. Wider
capacities
2.1.
Mana-
gement
change
2.2.
Policy &
institu-
tional
change
2.3.
Environ-
mental
effects
14
Head
2014
x
x
15
Hilden
2011
x
x
16
Hordijk et
al.
2014
x
x
x
17
Hoverman
et al.
2011
x
x
18
Huntjens et
al.
2011
x
x
x
x
19
Hurlbert
2013
x
x
x
20
Johannesen
& Hahn
2013
x
x
x
x
21
Kumler &
Lemos
2008
x
x
22
Lebel et al.
2010
x
x
23
Lee &
Krasny
2015
x
x
24
Leys &
Vanclay
2011
x
x
25
Madsen &
Noe
2012
x
26
McDougall
et al.
2013
x
27
Maynard
2015
x
x
28
Menzel &
Buchecker
2013
x
x
x
x
x
29
Moellenka
mp et al.
2010
x
x
x
x
30
Murillo et
al.
2015
x
31
Nguyen et
al.
2014
x
x
x
32
Nykvist
2014
x
33
Olsson et
al.
2004
x
x
x
x
x
x
34
Pahl-Wostl
et al.
2013
x
x
x
x
35
Puente-
Rodriguez
et al.
2015
x
x
x
36
Puszkin &
Esnard
2009
x
37
Rist et al.
2007
x
x
x
x
38
Schneider
et al.
2012
x
12
Learning outcomes
NRM manifestations
No.
Author(s)
Year
1.1.
Cogni-
tive
change
1.2.
Rela-
tional
change
1.3.
Skills
1.4.
Action-
orien-
tation
1.5. Wider
capacities
2.1.
Mana-
gement
change
2.2.
Policy &
institu-
tional
change
2.3.
Environ-
mental
effects
39
Secco et al.
2011
x
x
x
40
Sendzimir
et al.
2010
x
x
x
x
41
Shaw &
Kristjanson
2014
x
x
x
42
Sims &
Sinclair
2008
x
x
x
x
x
43
Sinclair et
al.
2013
x
x
x
x
x
44
Sol et al.
2013
x
x
x
45
Smith et al.
2015
x
x
46
Tidball et
al.
2010
x
x
x
x
47
Van Assche
et al.
2013
x
x
48
Van
Gossum et
al.
2008
x
49
Vinke-de
Kruijf et al.
2014
x
x
x
x
x
50
Wallis et al.
2013
x
x
x
51
Watanabe
et al.
2014
x
x
52
Wise
2014
x
53
Yuen et al.
2013
x
4.2.1. Cognitive change
Consistent with earlier research (e.g. (Baird et al. 2014), we found that cognitive change is a
learning outcome reported in a large subset of included articles (42 articles, 79%). A closer look
at them revealed that articles have most commonly reported about: (1) the acquisition and co-
creation of knowledge in specific domains, and (2) enhanced comprehension of a problem
domain (Figure 4).
Acquiring and co-creating knowledge on specific aspects included results from participatory
action-research endeavours, such as Albert et al. (2012) reporting on increased level of
knowledge about potential climate change impacts and adaptation strategies (Germany) or
Menzel and Buchecker (2013) describing how the participants of river restoration projects
gained ecological knowledge (Switzerland). Similarly, Hordijk et al. (2011) report on a growing
awareness about the finite value of water resources (Brazil), and Hoverman et al. (2011) report
13
on how participants of workshops in river restoration projects acquired knowledge during
integrated catchment planning (Solomon Islands).
Figure 4. Synthesis framework: key themes emerging from the empirical literature across the outcome
categories from learning processes. Note: Numbers in brackets denote the number of articles containing
specific theme.
An assumption held by the scientific literature, as summarised in earlier reviews (Cundill and
Rodela 2012), is that learning may enhance comprehension of the problem domain of key
actors, and this would eventually affect management decisions. Several articles in our sample
indicate an interest in this aspect. For example, Moellenkamp et al. (2010) describe how a better
understanding of the interconnectedness of water management problems in the area led to
envisioning of a plan to develop options for water discharge and an agreement to conduct a
research experiment (Germany). Wallis et al. (2013) show how key water management actors
began to recognise the salinity issue as wicked problem, which led to the drafting of salinity
management plans (Australia), while Cheng et al. (2011:91) describe how learning about the
inter-connections between the ecological and the economic dimension resulted in community
endeavours to “restore watershed health while employing community residents” in the USA.
Therefore, while many of the included publications discuss shifts towards a systemic
understanding, and several embedded that into the framework of multiple-loop learning, the
links between learning and action are still rather unclear and generally underreported. In this
regard, relevant insight is offered in the study by Vinke-de Kruijf et al. (2014) where they report
on empirical cases from Romania and the Netherlands and discuss how improved understanding
of the interdependencies between the social and ecological system does not always result in
action.
14
Although cognitive advancement is usually observed by studying individuals (Armitage et al.
2008; Marschke and Sinclair 2009), several publications in our sample explicitly refer to
cognitive changes at the collective level. This trend is foremost evident in studies applying
concepts like knowledge co-production (Armitage et al. 2011), knowledge integration (Hordijk
et al. 2014), or communities of practice (Puente-Rodriguez et al. 2015). Several articles mention
an increased collective awareness among the public and politicians about, e.g. climate-related
challenges in Finland (Hilden 2011), flood risks in Sweden (Johannesen and Hahn 2013), or
cyanide problems in Hungary (Sendzimir et al. 2010). Often publications refer to modifications
in shared understandings (e.g. Bos and Brown 2012; Rist et al. 2007; Pahl-Wostl et al. 2013;
Smith et al. 2015), which emerged over an extended period and embraced a reconceptualisation
of a problem. For example:
“Through a lengthy self-organised process during 20012002 a common understanding of the complex
nature of the urban storm-water management problem was created. Within this shared understanding, urban storm-
water was viewed as a societal challenge instead of a purely technical problem. This differed substantially from
what was standard practice at the time, where storm-water problems were a priori defined as either a flooding
problem or a storm-water quality problem, which required an end-of-pipe solution” (Bos and Brown 2012:1343).
Cognitive change is often linked to other learning outcome categories, but also to learning-
related NRM manifestations (Table 2). The significance of cognitive advancement should thus
not be underestimated since it can trigger a cycle of more fundamental and systemic changes
towards more holistic understanding important for adaptive and transformative change
(Armitage et al. 2012).
4.2.2. Relational change
A third of the included articles (18) describes relational changes as a type of learning outcome.
A closer exploration of this subset revealed the emergence of two themes: (1) attitudinal
changes towards stakeholders/actors, and (2) actual changes in relationships (Figure 4).
In our sample, articles referring to attitudinal change linked this outcome to stakeholders or
actors. For instance, D’Angelo and Brunstein (2014) note how, within a Brazilian chemical
company’s network, more positive attitudes emerged among landowners and other actors
towards recovering ciliary forests, over 23 years via a continued process of network-building.
Several articles describe enhanced attitudes towards participatory action research and decision-
making processes (e.g. Hordijk et al. 2014; Secco et al. 2011; Nguyen et al. 2014; Balazs and
Lubell 2014).
Similarly as reported by Muro and Jeffrey (2008; 2012) we also found multiple articles
documenting actual changes in relationships, in terms of trust-building or communication and
facilitated conflict resolution (Hahn et al. 2006; Hoverman et al. 2011; Sol et al. 2011). These
themes were often connected to cognitive aspects, like gaining a better understanding of others’
interests and viewpoints (Sims and Sinclair 2008; Menzel and Buchecker 2013), or acquiring a
more critical understanding of one’s own roles (Sinclair et al. 2013). Despite a widespread call
to consider power relations more systematically in social learning studies (Armitage et al. 2012;
Crona and Parker 2012; Hahn and Nykvist 2017), much in line with previous research (e.g. Van
Bommel et al. 2009), only two of the reviewed articles mention changes in power relations as
learning outcomes (Leys and Vanclay 2011; McDougall et al. 2013).
15
Several of the included articles mention profound (i.e. transformative) change; the authors,
however, remain reserved about its occurrence in reality. For example, Dana and Nelson
(2012:247) note that learning resulted in new images of the others, giving a basis for new
relationships but not necessarily transformed relationships. Menzel and Buchecker (2013)
record changed relationships among the participating actors in river restoration projects, but
cast doubts about whether this change will last over time.
4.2.3. Skill-development
Ten of the reviewed articles (19%) (Figure 4) refer to enhanced relational or task-oriented skills.
We notice that often this concerns more general aspects, such as skills to deal with uncertainty
(Armitage et al. 2011). Authors mention specific social skills, like enhanced communicative
skills (Albert et al. 2012), or learning to lead participatory processes effectively (Menzel and
Buchecker 2013). Task-oriented aspects in our sample concern e.g. skills on how to recover
ciliary forests (D’Angelo and Brunstein 2014) or restore watershed health (Cheng et al. 2011)
and technical skills on urban civic ecology practices (Tidball et al. 2010). Certain studies
mention both types of skills (Sims and Sinclair 2008; Sinclair et al. 2013; Vinke-de Kruijf et al.
2014).
The acquisition of skills is emphasised, for example, in the theory about communities of
practice by E. Wenger (Pahl-Wostl et al. 2007). Five publications in our sample used this
theory. Also, the two studies in our sample applying the concept of transformative learning
explicitly refer to skill-development, e.g. problem-solving capacities in the context of
participatory resource management programs (Sims and Sinclair 2008; Sinclair et al. 2013).
Existing literature on social learning only occasionally refers to skill-development as a key
learning outcome (e.g. Keen and Mahanty 2005; Muro and Jeffrey 2012). However, skills seem
to be decisive for changes in the NRM domain: all articles reporting on skills also report on
such changes (Table 2).
4.2.4. From learning to concerted action
As indicated above, determining exact links between learning and sustainable practices is often
a highly complicated task in social-ecological research (e.g. Plummer and Armitage 2007).
(Reed et al. 2014) suggest that learning leads to concerted action under three conditions:
knowledge co-creation, the building of relations of trust, and a change in practices and
underlying institutions (norms and other rules). In our initial analytical framework, we asserted
that specifically two learning outcomes orientation to collective action (category 1.4 Figures
1 and 4), and wider capacities beyond specific initiatives (category 1.5) facilitate further
change. Our empirical analysis suggests that these outcomes indeed represent an important link
between learning outcomes and their NRM manifestations. We elaborate on this in the next two
sub-sections.
4.2.4.1. Action-orientation
We found aspects related to collective action in 14 (26%) of the included articles. A closer
investigation revealed two themes: (1) the development, or changes, in actor networks; and (2)
the tendency to focus directly on action (Figure 4).
16
Earlier research suggests that social networks may foster learning and adaptive co-management
(Crona and Parker 2012; Plummer et al. 2013). It has been assumed that when social networks
experience collective learning, this may, in turn, alter the network structure (e.g. nature of
relations), but it may also change formal roles and institutions regulating the networks (Newig
et al. 2010). However, existing research is contradictory at this point (cf. Henry and Vollan
2014) and the impact on learning seems to depend on different aspects, e.g. network structures.
Some network characteristics may also be associated with contradicting outcomes (Newig et
al. 2010). Social cohesion, for example, can prevent learning by fostering group thinking and
closure. However, it can also support learning by enhancing trust and mutual understanding.
Which kind of effect prevails may be influenced by other factors such as leadership or influence
from other levels.
In our sample, several articles describe changes of the social network as learning outcome on
its own. For instance, that includes new connections among stakeholder networks as those
discussed by Moellenkamp et al. (2010), in relation to the participatory process focused on the
Dhuenn basin management in Germany, or as those discussed by Sol et al. (2013) in relation to
the action-research rural development project in the Netherlands. Huntjens et al. (2011),
Sendzimir et al. (2010), and Pahl-Wostl et al. (2013) report about an informal shadow network
developed in the Tisza river basin, while Rist et al. (2007) describe how social networks
expanded across rural governance in selected cases from India, Bolivia and Mali. However,
action-orientation may, or may not, induce action. For example, in a case of empowerment of
disadvantaged communities in the USA, Balazs and Lubell (2014:116) conclude that “[…] early
signs of triple-loop learning were evident, though the adoption of lasting structural changes is,
at best, only just beginning.”
Many studies from our sample that refer to action relate to cognitive aspects too, as described
above (category 1.1). For example, Hurlbert (2013) reports on the building of expertise to deal
with complexity through learning within agri-environmental programmes in Saskatchewan,
Canada. However, it is often difficult to detect exactly how learning catalyses action:
“All activities where stakeholders became an active part of the process, such as participatory monitoring
and also the adapted problem definition and the altered goal definition, transformed stakeholders’ room of action
as they entered domains where they had not previously been active. Interviews show that these transformations of
stakeholders’ room of action were important for their willingness to act” (Alkan-Olsson et al. 2011:385).
4.2.4.2. Wider capacities
Social learning literature suggests that a more solid and empirically grounded understanding of
social learning processes in the wider context (e.g. in a multi-level governance system) is
needed to capture the essence of transformative change (Pahl-Wostl 2015). Indeed, cross-scale
and cross-level dynamics and adjustments in governance systems are regarded as key aspects
of social-ecological transformations, and notably also in differentiating between adaptive and
transformative change (Brown 2014).
In our sample, eight articles (15%) discuss wider capacities, i.e. enhanced capacities beyond
the scope of specific interventions: aspects spanning across different levels at scales of time,
but also governance or social organisation. These capacities are essential for building general
resilience (Folke et al. 2010). For example, Albert et al. (2012) report on how stakeholders
developed skills that transcend a single planning process in Germany and Armitage et al. (2011)
17
observe how in co-management processes in Canada, capacities emerged to deal with
uncertainty. Existing literature (e.g. Chaffin et al. 2014) suggests that functioning actor
networks are essential to create cross-level and cross-scale linkages and establish ‘a culture of
learning which in turn supports learning across multilevel governance structures. This concurs
with our findings and the final category of learning outcomes (wider capacities, 1.5.).
Several studies in our sample discuss ways change could be sustained beyond interventions.
For instance, Moellenkamp et al. (2010) discuss change beyond their project: participatory
approaches were initially viewed as a new element in water management, but later as a regular
way to implement the Water Framework Directive. Along similar lines, Rist et al. (2007)
discuss ways to institutionalise social learning impacts to the level of community within its
broader institutional context. Interestingly, all articles reporting on wider capacities also report
on changes in NRM (Table 2).
4.3. Manifestations of learning outcomes in the NRM domain
A growing body of literature calls for a more systematic assessment of how learning affects
NRM outcomes (Plummer and Armitage 2007), e.g. what is the impact of social learning on
tangible development outcomes (Kristjanson et al. 2013). Although all 53 articles discuss
learning in relation to NRM, we found tangible manifestations of learning outcomes referred to
in 43 (81%) articles (Table 2). Furthermore, about one-third (18) of the 53 articles report both,
immediate learning outcomes and their NRM manifestations. Out of these, 10 articles discuss
more than one outcome category in either of the two domains (learning outcomes or NRM
manifestations).
4.3.1. Management change
In our sample, 24 articles (45%) discuss changes in management practices, i.e. in the operational
decisions targeted at specific goals (Armitage et al. 2012; Borrini-Feyerabend et al. 2006). A
closer look at these helped to identify the following themes: (1) direct physical interventions;
and (2) innovative sustainability practices (Figure 4).
First, several articles report changes in terms of concrete physical interventions in different
NRM domains. These are sometimes coping mechanisms, i.e. mostly short-term oriented,
immediate responses to environmental change (Speelman et al. 2014). For instance, Head
(2014) reports on the building of a major pipeline network and a desalination plant as successful
outcomes of policy learning. Often, included articles describe changes along multiple
dimensions, e.g. Van Assche et al. (2013) present a wide variety of technological innovations
in the ice fishing communities in the Lake Mille Lacs, MN, e.g. the quality of drills, fishing
gear and ice roads as well as new solutions for heating, cooking, hygiene, sleeping, and
entertainment in the ice shanties. The two publications relying on transformative learning
theories link learning processes and the resulting collective action in a very direct way, as
Sinclair et al. (2013:65) put it:
The data also reveal that both communicative and instrumental learning outcomes resulted in social
action contributions aimed at achieving more sustainable water practices among local farmers.
18
According to the existing literature (Speelman et al. 2014), such examples of outcomes as
described above can be viewed as coping mechanisms: mostly short-term, immediate responses
to environmental change.
Several publications describe iterative loops between the cognitive (1.1.) and action-oriented
category (1.4.), resulting in decisions and NRM changes (e.g. Huntjens et al. 2011; Hurlbert
2013). Direct interventions (2.1) may catalyse policy or institutional change (2.2) or have wider
capacities (1.5). For example, Pahl-Wostl et al. (2013) analyse how learning at local and
regional levels promoted the initiation of floodplain restoration projects and polder
constructions in the Rhine river basin in the Netherlands and Germany, which in turn affected
decisions in the formal policy cycle. Illustrating wider capacities, Sendzimir et al. (2010:614-
615) describe the construction of the Cigand Polder as a pilot test of floodplain storage of flood
waters” in Hungary, which “raised and sustained awareness about alternative options to use
floodplain revitalization for flood risk reduction and to boost farming”.
Second, multiple publications discuss how learning leads to innovative sustainability practices,
for instance, Cheng et al. (2011) report on silvo-pastoral projects in the US which try to
generate income but also aim at positive ecological effects; Hahn et al. (2006) report about
small conservation projects with considerable social and ecological effects in Sweden; while
Sol et al. (2013) report on novel activities for integrated rural development in the Netherlands
and Puente-Rodriguez et al. (2015) write about sustainability transitions of mussel fisheries in
the (e.g. installation of spat collectors, closure areas for fishery). Tidball et al. (2010) discuss
how stewardship actions, resulting from learning processes in urban civic ecology practices in
the US, not only have a healing effect on the participants but also contribute to urban
sustainability in a wider sense (category 1.5.). Such innovative practices could be considered
as mechanisms to strengthen general resilience (Folke et al. 2010) and adaptation, in terms of
deliberatively anticipating and addressing potential environmental and socio-economic
challenges (Speelman et al. 2014).
4.3.2. Policy and institutional change
Almost two-thirds of the included articles (34) discuss policy and institutional outcomes of
learning in the NRM domain. We identified three themes in this regard: (1) changing general
policy discourse; (2) changing existing institutions; (3) creating new institutions (Figure 4).
In our sample, all reviewed publications relying on policy learning theories (seven articles),
plus one relying on ‘social learning, reported on certain kinds of policy change. It is useful to
note that definitions of the concept ‘policy learning vary: sometimes the literature focuses on
policy change as directly resulting from learning (e.g. Hall 1993), although other authors (e.g.
Weible et al. 2012) warn that policy change should not be equated with learning. We observe
that eight of the reviewed articles use a general discourse to report changes in policies at various
organisational and governance levels. These changes concern modifications of the mainstream
political idea in a specific domain (Rist et al. 2007; Secco et al. 2011; Sendzimir et al. 2010)).
Several publications report this as shifts in ways in which issues are dealt with in different
policies: for instance, changes in the Flemish forest policy (Van Gossum et al. 2008) or certain
modifications in the Finnish climate policy, manifested in the ways in which the Kyoto
mechanisms were treated over time: from uncertainties in 2001 to pilot efforts and an active use
in 2008 (Hilden 2011).
19
The second set of articles (9) relies on the construct of social learning, to report on newly
created, or revised, policies or documents aimed at specific actions. The links between learning
and NRM outcomes are often explicit. For example, Albert et al. (2012) report on a climate
adaptation action-research project where workshops served as the basis for strategic planning.
Bos and Brown (2012) present a similar case from Australia, where learning within a
governance experimentation resulted in the development of a long-term community water
vision and management plans. Several publications discuss the creation of management plans
to solve concrete NRM problems, e.g. a management plan for organising collective Brazil nut
sales (Biedenweg and Monroe 2013). There are, therefore, multiple and similar examples in
water management domain in several countries, e.g. Sweden (Alkan-Olsson et al. 2011),
Switzerland (Menzel and Buchecker 2013), Romania (Vinke-de Kruijf et al. 2014) or Brazil
(Kumler and Lemos 2008).
Altered institutional arrangements are often regarded as more profound outcomes of intense
learning experiences (Armitage et al. 2008). In our sample, 16 articles (31%) indicate the
creation of new institutions, including focusing on organisations for developing and
implementing new policies. Some of these articles address more general governance issues, e.g.
the establishment of a Man-And-Biosphere reserve in Kristianstad’s Vattenrike, Sweden (Hahn
et al. 2006), or the foundation of two new marine protected areas in the Bahamas (Wise 2014).
Several articles refer to the setting up of new organisations. For instance, Cundill (2010) looks
at how the Machubeni Section 21 Company a legally recognised not-for-profit organisation
was formed from a co-management process in South Africa to develop and implement new
institutions. Similarly, Van Assche et al. (2013) describe the emergence of a vast array of new
businesses in the course of social learning processes, in the context of fisheries’ co-
management, USA. Several publications in this group refer to the creation of statutory or
advisory bodies, often formed on an ad hoc basis, such as the establishment of the Queensland
Water Commission, a statutory body to centralise water strategy responsibilities in Australia
(Head 2014); or the Vindan’s water council in the Kaggebo river basin, Sweden (Alkan-Olsson
et al. 2011). In some cases, the authors demonstrate a direct interest in certain wider capacities
arising from learning (category 1.5), as Menzel and Buchecker (2013) put it:
“Regarding new institutions that were proposed as third-order effects, we identified two organizations
that were created late in the processes, probably in the implementation phase or even after project implementation.
One was an organization that brought conservationists and farmers together; the other one was a yearly symposium
on water issues in the municipality that undertook the Flaz project.”
In some articles, the institutional change meant reaching agreements, more or less formalised,
targeted at resolving NRM conflicts. For example, Puente-Rodriguez et al. (2015) show how
an agreement was achieved, in the form of signing a covenant between mussel fishers and the
government, to gradually replace the unsustainable bottom-trawling with non-bottom dredging
methods in the Netherlands. In a similar way, Boyd et al. (2014) describe novel solutions to
environmental challenges, such as partnerships and other informal governance arrangements
between the community and private actors for waste and water services in a climate governance
case in Mozambique. However, Boyd et al. (2014:146) note that transformational change did
not occur:
It seems that many of these examples are evidence of incremental outcomes (as in Adger and Jordan,
2009) rather than of transformational social and political outcomes (as in Pelling, 2010).
20
Certain publications discuss how a complex set of established informal and formal institutional
arrangements are dealt with, e.g. in the case of Canadian Arctic co-management (Armitage et
al. 2011) where institutional change meant how beluga whale (Delphinapterus leucas)
entrapments were managed over time through quotas, seasonal no-take periods, and
adjustments in population estimates using traditional knowledge. D’Angelo and Brunstein
(2014) describe the development of a new systems-thinking and experience-oriented
management model for developing sustainable businesses, in the context of agricultural
management in Brazil. Examples of changes in formal institutions include the passage of
several federal laws and policies benefiting community-based forestry in the USA (Cheng et al.
2011) and the implementation of a federal law and a new management system in the Brazilian
water management case (Kumler and Lemos 2008). However, Cheng et al. (2011:94) conclude
that a more profound change in the governance systems has not yet been achieved:
Although we found ample evidence of social and policy learning regarding desired changes in
constitutional-level forest governance, progress towards more significant reforms in constitutional-choice
governance remains slow”.
4.3.3. Environmental effects
Environmental outcomes are often regarded as the ultimate goal of learning-based approaches
(Koontz et al. 2006; Plummer and Armitage 2007). Only 7 articles (13%) explicitly reported on
environmental outcomes connected to learning processes. Again, studies relying on the
transformative learning concept (Sims and Sinclair 2008; Sinclair et al. 2013) link these
outcomes in a relatively explicit way to learning processes:
“Instrumental learning, and the ensuing change in farming practice, was also shown to have tangible
environmental and social benefits [in Costa Rica]. These include a reduction in agrochemical use, erosion, and
operating costs” (Sims and Sinclair 2008:162).
However, some studies relying on the social and policy learning concepts use similar
arguments. Hahn et al. (2006) report on an increase in biodiversity and recreation values,
resulting from ecosystem-based management in Kristianstad, Sweden. In a similar manner,
Wallis et al. (2013) argue how the salinity situation improved through concerted actions of
stakeholders, in the context of water governance in Australia. Tidball et al. (2010) describe
potential effects, noting that participants stewardship actions in community forestry projects
in the USA, combined with social learning processes, have a high potential to increase post-
catastrophe ecosystem services provision resulting from learning.
Another set of studies (such as Armitage et al. 2011; Leys and Vanclay 2011) mention the
overall importance of considering environmental outcomes in relation to learning, but note that
these aspects were not explicitly addressed in their studies for different reasons, e.g. due to time
constraints (long cycles of feedback loops, etc.). Alkan-Olsson et al. (2011) and Menzel and
Buchecker (2013) explicitly seek to explore the links between learning and ecological
conditions as part of their goal-setting and research design but do not find empirical evidence
on the expected outcomes in this domain.
21
5. Conclusions
As this review suggests, transdisciplinary empirical research that directly addresses learning
outcomes, and their NRM manifestations, is expanding. We draw the following conclusions
and reflections based on our synthesis.
First, our review mapped the diversity of different learning theories across the NRM research
field. The analysis showed this to include not only the conceptual construct of ‘social learning,
but also theories of policy learning, transformative learning, and others. We described how the
underlying assumptions of each theory, about who learns and how learning takes place, shapes
the expectations about the type of outcomes and wider implications of the learning process.
Authors discuss a more direct link between learning and NRM manifestations if they use policy
learning theories. In contrast, in publications where the theory of transformative learning is
applied, the authors tend to first link learning with outcomes learners acquired (e.g. skills), and,
as a second step, connect those with NRM manifestations. Thus, there is conceptual diversity
in learning-related NRM literature which needs to be addressed in future research on
transformative change. We see the need for a unified terminology across different theories as
this might allow for a more meaningful comparison across interventions and self-emerging
processes, learning outcomes and their links to transformative change in NRM. In highlighting
these differences our review gives a small contribution in that direction. However, since our
review did not aim for a comparison, this is a task still to be accomplished by future research.
Second, most of the existing literature takes a normative stance and states that the ultimate goal
of learning (in the context of NRM) should be concerted action towards sustainable practices
(e.g. Schusler et al. 2003; Muro and Jeffrey 2008; 2012; Cundill and Rodela 2012). However,
what kind of learning outcomes are needed for achieving this is still open to debate. Our review
mapped selected literature and sought to gather evidence about such learning outcomes which
we chose to name: (1) action-orientation (category 1.4 in Figures 1 and 4) and (2) wider
capacities beyond specific initiatives (category 1.5). The results that emerge from our analysis
are mixed. Reviewed articles discussing aspects on action-orientation did not always report
NRM manifestations. However, many articles in our sample refer to changes in actor networks
(i.e. social networks) as part of action-orientation. Nevertheless, the details of this are often
neglected in most of the social learning literature we reviewed here. More generally, there are
few systematic studies of how social networks might have promoted, or hindered, learning in
general and/or social learning. In relation to this, there are opportunities for future research to
further deconstruct and conceptualise this aspect. Yet, not all scholars agree networks
necessarily promote learning and action (e.g. Newig et al. 2010; Henry and Vollan 2014). Also,
regarding wider capacities (category 1.5), the results we gathered are mixed. From our sample,
only a few articles discussed the implications of learning across governance levels: an aspect
that has been called upon to be considered in earlier research (e.g. Pahl-Wostl 2009), on
sustained impacts over time, or on the building of adaptive capacity for different types of crises.
This is also an area for future research, especially in the view of advancing our understanding
of transformative change across multiple governance levels, different time scales and diverse
contexts.
Third, we observed that the selected literature paid considerable attention to institutions that
could potentially link learning and NRM outcomes. In our sample, many publications describe
innovations related to both management interventions (category 2.1) and development of new
institutions (category 2.2). Several of the reviewed articles report on not just new institutions
22
created, but the establishing of a multi-stakeholder organisation. However, we also noticed that
how well these then performed in practice, and how well managed to endure over time, is not
very often subject to further discussions. This we believe is a missed opportunity. Information
of this type is of an interest to practitioners working with real-world NRM issues in the field
and it could help them while designing (and implementing) interventions meant to foster
transformative change.
We conclude by pointing out two further important issues that our review does not address
directly. The first concerns the aspect of non-outcomesor negative outcomes which our
framework, and analysis. From our sample, 13 articles mentioned failures of the learning
processes, i.e. where the expected results were not achieved. For example, Head (2014)
discusses deep policy changes that did not take place, Madsen and Noe (2012) comment on
limited changes in identities, while Puszkin and Esnard (2009) discuss learning not leading to
the expected policy reform. Contemporary learning literature (especially on social learning)
most often focuses on presenting successful case studies, however, exploring and learning from
failure could reveal impediments to learning success. The second aspect concerns choices of
research methodology, and how this impacts the opportunities to investigate learning outcomes.
Earlier research, and our review, has indicated that learning processes can be externally induced
(e.g. action-research or government-supported decision-making) or internally initiated via self-
organising networks of actors. Future research could look at which types of outcomes these
methodological approaches tend to support.
Acknowledgements
We are grateful to Joanne Vinke-de Kruijf and Geeske Scholz for useful comments on earlier
versions of this manuscript. We would also like to thank two anonymous reviewers for their
valuable remarks that have helped us to refine this work.
Funding
The first author wishes to thank the Swedish Institute for a one-year visiting scholar grant to
work at Stockholm Resilience Centre, Sweden. Preliminary results of this manuscript have been
presented at the IST 2016 conference in Wuppertal, Germany, for which the first author
received a mobility grant from SA Archimedes. Our research has been co-financed by Mistra
through a core grant to Stockholm Resilience Centre. Part of the work undertaken by Romina
Rodela was funded under a grant from the Foundation for Baltic and East European Studies
(Östersjöstiftelsen).
Supplemental data
Supplemental data for this article can be accessed at
https://doi.org/10.1080/09640568.2017.1339594.
23
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27
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... Albert et al. [17] found that social learning contributed to improving the level of knowledge about climate change, the risks and opportunities associated with it, and how communities can adapt to its impact. Social learning allows the stakeholders to have a better understanding of the environmental problems that they are facing and the ways to mitigate these problems [10,23,25,26]. On a broader level, it has been found that social learning leads to knowledge acquisition through policy change as well as the creation of new organizations that are responsible for the development and implementation of new policies or advances in governance [23,25]. ...
... Social learning allows the stakeholders to have a better understanding of the environmental problems that they are facing and the ways to mitigate these problems [10,23,25,26]. On a broader level, it has been found that social learning leads to knowledge acquisition through policy change as well as the creation of new organizations that are responsible for the development and implementation of new policies or advances in governance [23,25]. ...
... It allows stakeholders to have a better understanding of their own knowledge and potentials as well as the knowledge, potential, and perspectives of other stakeholders [10,13,21,[26][27][28]. This type of knowledge changes the relationships between stakeholders [25,28] and facilitates trust building [17,28,29], collaboration, and conflict resolution [23,29]. ...
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This paper explores the social learning, and its drivers and outcomes, in Yorkton, Saskatchewan, Canada, following flooding events that occurred in 2010, 2014, and 2016. The data for this study came from 15 semi-structured interviews and 110 newspaper articles concerning the flood events and infrastructure upgrades. Research demonstrates that the flood experience and the interactions and communications between the City, Council, and the public have produced social learning. However, this learning has been single- and double-loop learning. While the data revealed no explicit barriers to social learning, the perception that the public cannot contribute to stormwater management issues may have inhibited the degree of social learning that was achieved. As a result of social learning, Yorkton is now more prepared to deal with future flood events, both in terms of prevention and emergency response. However, social learning is diminishing as a result of the passage of time and the false sense of safety that the infrastructure upgrades create. Diminishing social learning has policy implications for Yorkton as the city has not yet implemented all the proposed flood upgrades.
... This framework describes how learning may impact resilience through the following four stages: (i) the setting to foster learning, (ii) learning processes, (iii) learning outcomes, and (iv) impact on resilience (Fig. 1). While De Kraker (2017) applies this framework to social learning, we apply this framework to both social and individual learning (Suškevičs et al., 2018). Specific attention is paid to how social capital enables or constrains farmers to learn and how this may be related to resilience. ...
... Learning processes exploit the setting to foster learning by describing how and with whom farmers learn. Examples of learning processes are experimentation (Ingram, 2010), being open to new ideas (Darnhofer, 2010), learning from others (Ingram, 2010), seeking out new information (Suškevičs et al., 2018), learning new skills (Conley and Udry, 2010), being flexible (Carlisle, 2014), and reflexivity (Sinclair et al., 2017). ...
... Normative learning outcomes are changes in perceptions, preferences, attitudes, values or norms that potentially affect decision-making (Baird et al., 2014). Relational learning outcomes are changes in attitudes and/or perceptions towards existing relationships (Suškevičs et al., 2018) or changing relationships-e.g. building trust or solving conflicts (Muro and Jeffrey, 2008). ...
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Enhancing farm resilience has become a key policy objective of the EU's Common Agricultural Policy (CAP) to help farmers deal with numerous interrelated economic, environmental, social, and institutional shocks and stresses. A central theme in resilience thinking is the role of the unknown, implying that knowledge is incomplete and that change, uncertainty, and surprise are inevitable. Important strategies to enhance resilience are exploiting social capital and learning as these contribute to improved knowledge to prepare farmers for change.
... Social learning continues to receive considerable attention in natural resource and environmental studies. Plagued by ambiguity because of its diverse traditions and disciplinary roots (Parson and Clark 1995;Blackmore 2007;Armitage et al. 2008;Muro and Jeffrey 2008;Diduck 2010;Reed et al. 2010;Ensor and Harvey 2015), recent research has helped clarify its defining features, salient context and process factors, range of learning outcomes, and implications for environmental resource management (see reviews in Johannessen and Hahn 2013;Ensor and Harvey 2015;Siebenhüner et al. 2016;Mudombi et al. 2017;Thi Hong Phuong et al. 2017;Suškevičs et al. 2018;Gonzales-Iwanciw et al. 2019;Suškevičs et al. 2019). ...
... With respect to learning outcomes, the variables of interest can differ depending on the social unit of analysis that is used. For individuals, one can assess new or restructured knowledge and skills, altered norms, values and paradigms, and enhanced trust and cooperation (Haug et al. 2011;Muro and Jeffrey 2012;Baird et al. 2014;Suškevičs et al. 2018). At the group level, of import are collective attributes, such as mutual cognition, shared norms and values, and collaborative or concerted action (Nilsson and Gerger Swartling 2009;Bullock et al. 2012;Gerger Swartling et al. 2015;Siebenhüner et al. 2016;Scholz and Methner 2020). ...
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The impact of climate-related changes on northern Canada’s renewable resource sectors makes bolstering adaptive capacity an urgent imperative throughout the region. Although social learning is a key ingredient of adaptive capacity, our understanding of the relationships among social learning, adaptive capacity, and climate change adaptation is limited. Building on previous conceptual and empirical studies, this paper develops a framework that clarifies the interactions among social learning, adaptive capacity and climate change adaptation pertinent to a regional scale of analysis. The framework is multi-layered and consists of different levels of governing variables, units of analysis, learning outcomes and climate change adaptations. It is also integrative in that it encompasses social learning motivations, context and process factors, and outcomes, along with key determinants of adaptive capacity. A post hoc assessment of two climate change disturbances in northern boreal resource systems reveals the applicability of the framework to a regional scale analysis.
... However, the literature on adaptive governance offers limited guidance on how to understand and influence complicated and contextually-dependent, real-life governance situations [44]. Searches for, and evidence of, links between key adaptive governance processes, such as social learning, and modifications in natural resource management and resilience are also sparse [45,46]. ...
... As highlighted in the previous sections, research on human-natural systems and the related adaptive governance research, provides limited guidance for understanding and influencing complicated and context-dependent real-life governance situations [36,44]. The field also provides sparse direct links between governance processes and modifications in natural resource use [45,46]. Many of the existing frameworks are furthermore meant to cater for all water governance situations [64,65] or all natural resource governance situations [66]. ...
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Damming and water regulation creates highly modified rivers with limited ecosystem integrity and resilience. This, coupled with an ongoing global biodiversity crisis, makes river restoration a priority, which requires water reallocation. Coupled human–natural systems research provides a suitable lens for integrated systems’ analysis but offers limited insight into the governance processes of water reallocation. Therefore, we propose an analytical framework, which combines insight from social–hydrological resilience and water reallocation research, and identifies the adaptive capacity in highly modified rivers as the capacity for water reallocation. We test the framework by conducting an analysis of Sweden, pre- and post-2019, a critical juncture in the governance of the country’s hydropower producing rivers. We identify a relative increase in adaptive capacity post- 2019 since water reallocation is set to occur in smaller rivers and tributaries, while leaving large-scaled rivers to enjoy limited water reallocation, or even increased allocation to hydropower. We contend that the proposed framework is broad enough to be of general interest, yet sufficiently specific to contribute to the construction of middle-range theories, which could further our understanding of why and how governance processes function, change, and lead to outcomes in terms of modified natural resource management and resilience shifts.
... Hence the idea of exploiting the green (naturalistic system), blue (water system) and grey (street system) infrastructures as tools at the basis of green planning. Compared to traditional infrastructures (grey infrastructures) conceived with a single purpose, green infrastructures have many advantages [11] The use of green infrastructure can provide social, economic and environmental benefits, such as the absorption of excess water caused by heavy rains and the reduction of floods, the mitigation of the phenomenon of heat islands in urban areas, energy savings, the creation of spaces and habitats for wild flora and fauna, and the spread of places for outdoor relaxation with consequent improvement of health and well-being of citizens [12]. ...
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... Such insight could for example come from a serious study of the role of data in scientific meta-reviews, an example being the Cochrane reviews managed by the Cochrane Collaboration in the health domain (https://www.cochranelibrary.com/). Most other scientific domains do not yet have such review mechanisms, thereby lacking mechanisms to connect widely available data (see, for example, (Suškevičs et al. (2017)). These scientific communities need to explicitly discuss and think about the next-generation research questions that can be answered and how they are going to make shared data pools available as a scientific community. ...
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In this chapter, we contextualize meaningful public participation in relation to next-generation IA, describe its key features, principles and benefits, and canvas innovative and promising approaches and tools for achieving such participation.
... On rare occasions, new approaches can disrupt existing arrangements (Repetto 2006, Michaud 2019. Alternatively, a distinction is made between managerial change ('how things are done') and more substantial policy change ('what is done') (Suškevičs et al. 2018). ...
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... One action that could be taken guided by this principle would be to revisit the NSA portion of the CS, potentially as regionally-or state-specific components, in a way that meaningfully incorporates a range of different values and knowledges absent in prior analysis. 2. Effectively embracing knowledge plurality will require use of inclusive, accountable, and transparent engagement strategies that incorporate collaborative or social learning processes, where a suite of interrelated public and private actors participate in an iterative process to find a common understanding of a situation that yields pathways to desirable and feasible situational improvements (Daniels and Walker 1996;Su skevi cs et al. 2018). Such discussions must address the distribution and allocation of power and authority, and also consider the values associated with different knowledges (Keen and Mahanty 2005). ...
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