Rewilding in Europe: A Systematic Characterization and Classification of 89 Rewilding Projects
ZODERER, Brenda Maria ;LOOS Jacqueline ;BUSSE VON COLBE, Johan
Auteur moral
Auteur secondaire
Résumé
"Rewilding is increasingly adopted as a novel, process-oriented restoration approach worldwide, yet little knowledge exists oncommonalities and differences in rewilding practice. This study systematically examines rewilding projects enlisted on theEuropean Rewilding Network (n = 89) from a social-ecological perspective. Using qualitative content analysis and hierarchicalclustering, we assess the diversity of rewilding strategies by comparing ecological and socioeconomic goals, types of interventions,targeted ecological processes, and people's assigned roles in rewilding. Six distinct rewilding strategies emerged: "megaherbivorerewilding", "multi-intervention rewilding", "ecosystem restoration", "species breeding and reintroduction", "fostering human-wildlife coexistence", and "wild nature protection". Our findings highlight (1) recurring patterns in rewilding practices acrosscontexts, (2) co-occurrences between ecological and socioeconomic elements in shaping rewilding practices, and (3) variability inpeople's roles depending on the rewilding strategy pursued. The findings can support knowledge transfer and cross-site learningamong researchers and practitioners, and the development of tailored policy and planning tools."
Editeur
Society for conservation biology
Descripteur Urbamet
Descripteur écoplanete
impact sur l'environnement
;restauration de site
;animal sauvage
;faune sauvage
;étude socioéconomique
;impact sur l'environnement
Thème
Environnement - Nature
Texte intégral
Conservation Letters
LETTER
Rewilding in Europe: A Systematic Characterization and
Classification of 89 Rewilding Projects
Brenda Maria Zoderer1 Johan Busse von Colbe2 Jacqueline Loos2,3,4
1Institute of Landscape Development, Recreation and Conservation Planning, Department of Landscape, Water and Infrastructure, BOKU University, Vienna,
Austria 2Institute of Ecology, Leuphana University, Universitätsallee 1, Lüneburg, Germany 3Social-Ecological Systems Institute, Leuphana University,
Universitätsallee 1, Lüneburg, Germany 4Department of Botany and Biodiversity Research, Faculty of Life Sciences, University of Vienna, Vienna, Austria
Correspondence: Brenda Maria Zoderer (brenda.zoderer@boku.ac.at)
Received: 17 March 2025 Revised: 18 September 2025 Accepted: 28 September 2025
Keywords: human?nature relationship | people | restoration | rewilding | socioeconomic dimension | social-ecological perspective | wildness
ABSTRACT
Rewilding is increasingly adopted as a novel, process-oriented restoration approach worldwide, yet little knowledge exists on
commonalities and differences in rewilding practice. This study systematically examines rewilding projects enlisted on the
European Rewilding Network (n = 89) from a social-ecological perspective. Using qualitative content analysis and hierarchical
clustering, we assess the diversity of rewilding strategies by comparing ecological and socioeconomic goals, types of interventions,
targeted ecological processes, and people?s assigned roles in rewilding. Six distinct rewilding strategies emerged: ?megaherbivore
rewilding?, ?multi-intervention rewilding?, ?ecosystem restoration?, ?species breeding and reintroduction?, ?fostering human-
wildlife coexistence?, and ?wild nature protection?. Our findings highlight (1) recurring patterns in rewilding practices across
contexts, (2) co-occurrences between ecological and socioeconomic elements in shaping rewilding practices, and (3) variability in
people?s roles depending on the rewilding strategy pursued. The findings can support knowledge transfer and cross-site learning
among researchers and practitioners, and the development of tailored policy and planning tools.
1 Introduction
Rewilding has emerged as a promising restoration approach
in response to global biodiversity and climate crises (Araújo
and Alagador 2024; Schmitz et al. 2023; Svenning 2020). Its
primary goal is to restore self-regulating, dynamic ecosystems by
reinstating lost or degraded ecological processes while reducing
human control and pressures over time (Carver et al. 2021; Perino
et al. 2019; Prior and Ward 2016). Rewilding is increasingly
recognized as a valuable complement to traditional biodiversity
conservation and ecological restoration efforts, particularly in
times of rapid climate and socioeconomic change (Mutillod et al.
2024; Pettorelli and Bullock 2023; Van Meerbeek et al. 2019). By
adopting ahands-off, process-oriented, and open-ended approach
and emphasizing the adaptive capacity of ecosystems (Pettorelli
and Bullock 2023), rewilding is expected to create conditions that
support and enhance biodiversity, even under novel biosphere
conditions (Hart et al. 2023; Pettorelli et al. 2018; Svenning et al.
2024).
As the rewilding concept is gaining recognition, a growing
number of rewilding projects are being implemented across
diverse regions worldwide (Convery et al. 2025; Soorae 2021).
This expansion into diverse geographic contexts contributes to
a diversification of its meaning (Jørgensen 2015; Lorimer et al.
2015). While originally being closely associated with the ?3C?s
model? (i.e., cores, corridors, and carnivores? model) aimed at
restoring large, connected wilderness areas conducive to apex
predators in North America1 (Soulé and Noss 1998), rewilding
no longer represents a uniform approach in practice (Deary and
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly
cited.
© 2025 The Author(s). Conservation Letters published by Wiley Periodicals LLC.
Conservation Letters, 2025; 18:e13157
https://doi.org/10.1111/conl.13157
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Warren 2017; O?Connell and Prudhomme 2024; Root-Bernstein
et al. 2018; Thomas 2022). Today, rewilding encompasses a
broad spectrum of aims and activities (Hawkins et al. 2024a),
including the reintroduction of large herbivores to re-establish
natural grazing dynamics (O?Connell and Prudhomm 2024; Root-
Bernstein et al. 2018), back-breeding and de-extinction programs
to facilitate taxon replacements (Seddon and Armstrong 2019),
and the passive management of abandoned agricultural land
to deliberately enable natural succession and (re)colonization
processes (Broughton et al. 2021; Carver 2019).
Since legal and regulatory frameworks for rewilding are largely
lacking (O?Connell and Prudhomme 2024; Schulte to Bühne et al.
2022), rewilding projects are often ad hoc initiatives shaped by
the visions and preferences of individual (non-state) actors and
the necessity to tailor these projects to specific ecological, socio-
cultural, and political contexts (Hawkins et al. 2024a; Holmes
et al. 2019; Root-Bernstein et al. 2018; Thomas 2022). This place-
based and adaptive character of rewilding has been recognized
as an important quality of rewilding that allows for ?creative
pluralism? among practitioners (cf. Deary and Warren 2019)
while balancing the transformative goals of rewilding with prag-
matic considerations (Hawkins et al. 2024a; Holmes et al. 2019).
However, this pluralism of understandings and heterogeneity
in rewilding practices also creates challenges, hampering (1)
knowledge transfer and cross-site learning among researchers
and practitioners, and (2) the development of tailored policies
and planning tools (Hayward et al. 2019). These challenges
underscore the broader research-implementation gap that per-
sists in conservation science, where the disconnect between
conceptual understanding and practical implementation often
impedes effective policy development (Game et al. 2015). This
is further reinforced by the fact that rewilding research is still
largely dominated by opinion and conceptual pieces (Carver et al.
2025; Lorimer et al. 2015), with comparatively limited empirical
(quantitative) evidence on rewilding practices and their outcomes
across larger scales (but see, e.g., Hart et al. 2023).
In this article, we systematically analyze differences and com-
monalities across a broad range of European rewilding projects
to inform research and policy debates on rewilding concerning
the appropriate levels of analysis and intervention. By analyz-
ing 89 rewilding projects enlisted in the European Rewilding
Network through a social-ecological perspective, we find that
they can be grouped into six distinct rewilding strategies. The
six strategies??megaherbivore rewilding?, ?multi-intervention
rewilding?, ?ecosystem restoration?, ?species breeding and rein-
troduction?, ?fostering human-wildlife coexistence?, and ?wild
nature protection??vary with respect to both ecological and
socioeconomic dimensions. Specifically, we show that each
strategy assigns different roles to people, providing evidence of
how rewilding is shaping human?nature interactions in practice
(Hawkins et al. 2024b; Massenberg et al. 2023).
2 Methods
2.1 Data Collection
The sample comprises all rewilding projects that were enlisted
on the European Rewilding Network (ERN) in October 2023. The
ERN was launched in 2013 by the nonprofit organization Rewil-
ding Europe to facilitate knowledge exchange among projects
committed to long-term rewilding and whose practices and goals
are in line with the major strategic areas of Rewilding Europe
(Schepers and Jepson 2016), including the recovery ofwild nature,
the establishment of nature-based economies, the promotion of
interest in the wild through communication, and the expansion
and amplification of rewilding efforts across Europe. In order to
become part of the network, projects first need to self-nominate.
Thereafter, Rewilding Europe evaluates and selects the projects
based on several criteria, including their alignment with the
four major strategic areas, and size?whereby larger projects are
preferred (Rewilding Europe, personal communication, March
2025). Rewilding Europe maintains a publicly available database2
containing detailed information about each project, including
information on the location, start and end date, area size, objec-
tives, achieved results, and strategic focus of the projects. The
information is collected fromnewapplicants using a standardized
form. In cases where available descriptions were not sufficient
for a thorough characterization, we additionally consulted the
project?s websites.
2.2 Data Analysis
Based on the pre-structured project descriptions, we conducted
a qualitative content analysis to systematically characterize the
projects, with ?systematic? understood as the explicit application
of coding rules and a multi-step procedure (Mayring 2014). In
the first step, relevant dimensions were identified based on
existing theoretical frameworks of rewilding (Hawkins et al.
2024a; Perino et al. 2019) to systematically characterize ERN
projects from a social-ecological perspective. These dimensions
include (1) the projects? spatial localization, site characteristics,
and protection status; (2) ecological and socioeconomic goals; (3)
type of ecological and socioeconomic interventions; (4) rewilding
approach; (5) targeted ecological processes; and (6) the role
assigned to people. In the second step, a category scheme was
developed for each dimension following a deductive-inductive
procedure (Srnka and Koeszegi 2007). Categories were identified
based on existing literature and further adapted iteratively to the
specific content of our data to increase validity (Table A.1 in
Supporting Information). The category system and its associated
coding rules were pilot-tested and revised based on half of all
projects. The final category scheme was used to code all 89
projects and the respective text chunks provided on the webpages
(i.e., units of analysis) by assigning binary codes (0/1). To improve
coding validity and reliability, the category scheme and coding
rules were developed and evaluated by all three authors, whereas
all projects were coded by the second author and validated by the
first author.
Based on the coded data, a multiple correspondence analysis
(MCA) combined with a hierarchical cluster analysis (HCA)
was performed to group ERN projects. The MCA, an ordina-
tion technique to handle high-dimensional categorical datasets
(Greenacre and Blasius 2006), was first performed to trans-
form the nominal data of the content analysis into a reduced
number of continuous latent variables. As an input to the
MCA, we considered 63 variable categories covering different
ecological and socioeconomic goals and interventions, rewilding
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approaches, ecological processes, and roles assigned to people
and for which information was available across all projects
(Table B.1 in Supporting Information). Based on the scree plot
of the percentage of variance explained and interpretability of
individual dimensions (see Figure B.1 and section B for more
details in Supporting Information), four MCA dimensions?
explaining 29.68% of the variance?were retained (see Table B.1
for MCA scores and dimensions in Supporting Information).
Following the MCA, an HCA was conducted based on the four
dimensions using Euclidean distance andWard?s linkagemethod
(Ward 1963). The final number of clusters was identified based on
the Elbow method, Silhouette coefficient (Rousseeuw 1987), and
Gap Statistic method (Tibshirani et al. 2001) (Figures C.1?C 3 in
Supporting Information). All statistical analyses were run in R,
version 4.2.2.
3 Results
3.1 Overview of European Rewilding Network
Projects
In October 2023, the ERN encompassed 89 projects distributed
across 28European countries (FiguresD1?D2 in Supporting Infor-
mation), with the majority being located in the United Kingdom
(n = 17, 19%), the Netherlands (n = 10, 11%), Italy (n = 7, 8%), and
Spain (n = 7, 8%). Projects were initiated between 1914 and 2022,
with a notable exponential increase after 2010 (accounting for 57%
of all projects). Nearly half of the projects (n = 44, 49%) use the
term ?rewilding? in either their project title or project description.
A significant proportion of projects (n = 34, 38%) cover areas
larger than 10,000 ha, and approximately one-third (n = 26, 29%)
encompass less than 1000 ha or are not operating in space (n
= 4, 4%; Figure D3 in Supporting Information). Most projects
aim at restoring ecological processes and functions to facilitate
the development of self-organizing and resilient ecosystems (n =
51, 57%). Other aims include the restoration of specific species
(n = 27, 26%), species compositions (n = 19, 21%), and the
protection and maintenance of existing habitats and ecosystems
(n= 20; 23%) (Figure 1A). With the exception of three projects, all
initiatives aim at achieving socioeconomic objectives (Figure 1B),
primarily focusing on promoting socioeconomic development (n
= 64, 72%), raising awareness about wild nature (n = 56, 63%),
and increasing opportunities for nature experiences and other
cultural ecosystem services (n = 35, 39%).
To achieve these objectives, ERN projects apply a range of eco-
logical and socioeconomic interventions (Figure 1C,D). The most
common ecological interventions are in the field of research and
monitoring (n= 43, 48%), the (re)introduction of megaherbivores
(n = 38, 43%), breeding activities, and wetland and river restora-
tion (both n = 20, 23%). Frequent socioeconomic interventions
are guided tours (n = 44, 49%), organization of events, and the
dissemination of educational material (n = 39, 44%) as well as
the establishment of hiking and educational trails (n = 29, 33%).
Overall, projects predominantly adopt a trophic or ecological
rewilding approach (44% and 35%, respectively), while passive
and Pleistocene rewilding are less commonly pursued (10% and
5%, respectively). Correspondingly, most projects contribute to
the restoration and maintenance of natural disturbances (n = 67,
75%) and trophic complexity (n = 64, 72), with fewer addressing
dispersal (n = 30, 34%) and other ecological processes (n =
25, 28%). Most initiatives engage people as recreationists (n =
68, 76%), learners (n = 52, 58%), entrepreneurs (n = 45, 51%),
participants (n = 44, 49%) and, to a lower extent, as land users
(n = 27, 30%) and volunteers (n = 22, 25%).
3.2 Six Rewilding Strategies in Practice
We classified the ERN projects into six distinct clusters (Figure 2,
Table 1, and Table C.1 in Supporting Information). Each cluster
represents a different rewilding strategy, characterized by specific
objectives, practices, and intended human?nature interactions
(Figure 3).
3.2.1 Megaherbivore Rewilding
About 25% of all ERN projects aim at reinstating natural distur-
bance regimes and promoting trophic complexity through the
reintroduction of free-roaming and wild-living megaherbivores
(e.g., European bison, tauros, Konik horses, and Highland cattle).
Themajority of projects reportedly integrate these objectives with
the promotion of socioeconomic development such as by foster-
ing wildlife-watching tourism. A key feature of these projects
is their strong focus on recreationists, who are given access to
rewilding sites via the implementation of trails, guided tours,
and, in about a third of projects, visitor centers and other visitor
infrastructure (e.g., observational platforms). Projects belonging
to this cluster are located on a smaller spatial scale (median:
741 ha) compared to other clusters.
3.2.2 Multi-Intervention Rewilding
Another group of ERN projects (18%) focuses on restoring multi-
ple ecological processes, such as trophic complexity, natural dis-
turbances and dispersal, to promote self-regulating and complex
ecosystems. To achieve these objectives, projects typically com-
bine multiple interventions, including megaherbivore and other
species reintroductions (e.g., beavers), abandonment or alteration
of former land use, barrier removal, and habitat enhancements
(e.g., adding animal-aiding elements), thus integrating trophic
with ecological rewilding approaches. Ecological interventions
are complemented by multiple socioeconomic measures, such
as guided tours, novel business models, actor engagement and
educational events to support objectives as diverse as aware-
ness raising, community building, socioeconomic development,
and acting as best practice examples. Consequently, people
are assigned diverse roles, ranging from being recreationists,
learners, entrepreneurs, to being land users or participants in the
project design, implementation, and management.
3.2.3 Ecosystem Restoration
About a fifth of ERN projects aim at restoring ecosystems
after anthropogenic disturbances using classical restoration or
rewilding approaches. This cluster includes two groups, with
the first one (mainly in Finland) aiming at restoring degraded
wetlands after exploitation (e.g., peatland mining) to secure
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FIGURE 1 Proportion of the 89 projects within the European Rewilding Network focused on specific ecological (A) and socioeconomic goals (B),
as well as on the implementation of ecological (C) and socioeconomic interventions (D).
natural resources and regulating services, support livelihoods,
and integrate traditional ecological knowledge. Reported inter-
ventions include research and a shift to community-led man-
agement, where land users and local communities participate in
the implementation and management of the project. The second
group differs from the first in that it places additional emphasis
on promoting nature experiences and cultural services for vis-
itors. These projects often implement engineering solutions for
wetland and freshwater ecosystem restoration, and engage recre-
ationists and/or learners through events, information materials,
trails, and other visitor infrastructure.
3.2.4 Species Breeding and Reintroduction
A quarter of all ERN projects aim at restoring specific species
populations that play a key functional role in the ecosystem.
While over half of the projects also aim to restore ecological
processes such as trophic complexity, the primary focus remains
on the re-establishment of viable keystone species populations,
including European bison, tauros, lynx, wildcats, and vultures,
through breeding activities (e.g., back breeding, captive breed-
ing), research and monitoring, and (re)introduction programs.
Compared to other strategies, socioeconomic objectives are less
clearly defined in this cluster, and if articulated, primarily
focus on awareness raising and socioeconomic development.
Consequently, 43% of projects did not report socioeconomic
interventions (43%) and 20% leave people?s role unclear, with the
remainder assigning varied roles depending on the project.
3.2.5 Fostering Human?Wildlife Coexistence
Few (n = 4) ERN projects focus on protecting and restor-
ing specific species, such as carnivores and/or scavengers, by
fostering coexistence with local communities. Spanning large-
scale areas, with both core regions with high abundances
of species (e.g., wolves, bears) and areas characterized by
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FIGURE 2 Dendrogram of the hierarchical cluster analysis. The six clusters of European Rewilding Network projects (n = 89, October 2023)
represent different rewilding strategies. The horizontal axis displays the height, corresponding to the level of dissimilarity between merged rewilding
projects or clusters. Higher values indicate more distinct rewilding projects and clusters, respectively. Icons: Amelie Nordheim-Perera.
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ys
te
m
se
rv
ic
es
(8
2%
),
so
ci
oe
co
no
m
ic
de
ve
lo
pm
en
t(
77
%
),
cu
ltu
ra
le
co
sy
st
em
se
rv
ic
es
(5
9%
),
be
st
pr
ac
tic
e
(4
1%
)
A
w
ar
en
es
sr
ai
si
ng
(4
8%
),
so
ci
oe
co
no
m
ic
de
ve
lo
pm
en
t(
43
%
)
So
ci
oe
co
no
m
ic
de
ve
lo
pm
en
t
(1
00
%
),
hu
m
an
?n
at
ur
e
co
ex
is
te
nc
e
(1
00
%
),
aw
ar
en
es
sr
ai
si
ng
(1
00
%
),
lo
ca
l
ac
ce
pt
an
ce
an
d
su
pp
or
t(
50
%
),
tr
ad
iti
on
al
ec
ol
og
ic
al
kn
ow
le
dg
e
(5
0%
)
So
ci
oe
co
no
m
ic
de
ve
lo
pm
en
t(
82
%
),
aw
ar
en
es
sr
ai
si
ng
(7
3%
),
cu
ltu
ra
l
ec
os
ys
te
m
se
rv
ic
es
(4
6%
)
(C
on
tin
ue
s)
6 of 13 Conservation Letters, 2025
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ow
nloaded from
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iley.com
/doi/10.1111/conl.13157 by IN
SE
E
, W
iley O
nline L
ibrary on [25/11/2025]. See the T
erm
s and C
onditions (https://onlinelibrary.w
iley.com
/term
s-and-conditions) on W
iley O
nline L
ibrary for rules of use; O
A
articles are governed by the applicable C
reative C
om
m
ons L
icense
TA
B
LE
1
(C
on
tin
ue
d)
Va
ri
ab
le
s
M
eg
ah
er
bi
vo
re
re
w
ild
in
g
M
ul
ti
-
in
te
rv
en
ti
on
re
w
ild
in
g
Ec
os
ys
te
m
re
st
or
at
io
n
Sp
ec
ie
s
br
ee
di
ng
&
re
in
tr
od
uc
ti
on
Fo
st
er
in
g
hu
m
an
-w
ild
lif
e
co
ex
is
te
nc
e
W
ild
na
tu
re
pr
ot
ec
ti
on
In
te
rv
en
tio
ns
Ec
ol
og
ic
al
(R
e)
in
tr
od
uc
tio
n
of
m
eg
ah
er
bi
vo
re
(s
)
(8
0%
),
re
se
ar
ch
an
d
m
on
ito
rin
g
(3
5%
),
br
ee
di
ng
ac
tiv
iti
es
(3
0%
)
(R
e)
in
tr
od
uc
tio
n
of
m
eg
ah
er
bi
vo
re
(s
)
(8
1%
),
re
se
ar
ch
&
m
on
ito
rin
g
(6
9%
),
(r
e)
in
tr
od
uc
tio
n
of
ot
he
rs
pe
ci
es
(5
0%
),
re
m
ov
al
of
ar
tif
ic
ia
l
el
em
en
ts
(5
0%
),
ad
di
tio
n
of
an
im
al
-a
id
in
g
el
em
en
ts
(3
8%
),
la
nd
us
e
ab
an
do
nm
en
t
(3
8%
),
w
et
la
nd
an
d
riv
er
re
st
or
at
io
n
(3
8%
),
ch
an
ge
of
la
nd
us
e
pr
ac
tic
es
(3
8%
),
ad
di
tio
n
of
la
nd
sc
ap
e
el
em
en
ts
(3
1%
)
W
et
la
nd
&
riv
er
re
st
or
at
io
n
(6
5%
),
re
se
ar
ch
&
m
on
ito
rin
g
(4
7%
),
ch
an
ge
of
pr
oj
ec
t
ar
ea
m
an
ag
em
en
t
(3
5%
)
Re
se
ar
ch
&
m
on
ito
rin
g
(5
2%
),
br
ee
di
ng
ac
tiv
iti
es
(4
8%
),
(r
e)
in
tr
od
uc
tio
n
of
ot
he
rs
pe
ci
es
(3
3%
)
Re
se
ar
ch
&
m
on
ito
rin
g
(1
00
%
),
re
du
ci
ng
hu
m
an
-in
du
ce
d
th
re
at
s(
75
%
),
(r
e)
in
tr
od
uc
tio
n
of
ot
he
rs
pe
ci
es
(5
0%
),
re
m
ov
al
of
ar
tif
ic
ia
l
el
em
en
ts
(5
0%
),
ch
an
ge
of
la
nd
us
e
pr
ac
tic
es
(5
0%
)
N
o
ec
ol
og
ic
al
in
te
rv
en
tio
ns
(5
5%
)
So
ci
oe
co
no
m
ic
G
ui
de
d
to
ur
s(
75
%
),
tr
ai
ls
(6
5%
),
vi
si
to
r
ce
nt
er
(3
5%
),
ot
he
r
vi
si
to
r
in
fr
as
tr
uc
tu
re
(3
5%
),
ho
sp
ita
lit
y
&
ac
co
m
m
od
at
io
n
(3
5%
),
ev
en
ts
&
en
ga
ge
m
en
t
m
at
er
ia
l(
35
%
)
G
ui
de
d
to
ur
s(
69
%
),
ev
en
ts
&
en
ga
ge
m
en
t
m
at
er
ia
l(
63
%
),
ne
w
bu
si
ne
ss
m
od
el
s
(5
6%
),
tr
ai
ls
(4
4%
),
vi
si
to
rc
en
te
r(
38
%
),
ho
sp
ita
lit
y
&
ac
co
m
m
od
at
io
n
(3
8%
),
ac
to
r
en
ga
ge
m
en
t(
38
%
)
Ev
en
ts
&
en
ga
ge
m
en
t
m
at
er
ia
l(
60
%
),
ac
to
re
ng
ag
em
en
t
(5
9%
)
N
o
so
ci
oe
co
no
m
ic
in
te
rv
en
tio
ns
(4
3%
)
G
ui
de
d
to
ur
s
(1
00
%
),
ne
w
bu
si
ne
ss
m
od
el
s
(7
5%
),
ev
en
ts
&
en
ga
ge
m
en
t
m
at
er
ia
l(
50
%
),
fin
an
ci
al
su
pp
or
t
(5
0%
)
G
ui
de
d
to
ur
s(
82
%
),
ne
w
bu
si
ne
ss
m
od
el
s
(4
6%
),
ev
en
ts
&
en
ga
ge
m
en
t
m
at
er
ia
l(
46
%
),
tr
ai
ls
(3
6%
),
ho
sp
ita
lit
y
&
ac
co
m
m
od
at
io
n
(3
6%
)
(C
on
tin
ue
s)
Conservation Letters, 2025 7 of 13
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ow
nloaded from
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iley.com
/doi/10.1111/conl.13157 by IN
SE
E
, W
iley O
nline L
ibrary on [25/11/2025]. See the T
erm
s and C
onditions (https://onlinelibrary.w
iley.com
/term
s-and-conditions) on W
iley O
nline L
ibrary for rules of use; O
A
articles are governed by the applicable C
reative C
om
m
ons L
icense
TA
B
LE
1
(C
on
tin
ue
d)
Va
ri
ab
le
s
M
eg
ah
er
bi
vo
re
re
w
ild
in
g
M
ul
ti
-
in
te
rv
en
ti
on
re
w
ild
in
g
Ec
os
ys
te
m
re
st
or
at
io
n
Sp
ec
ie
s
br
ee
di
ng
&
re
in
tr
od
uc
ti
on
Fo
st
er
in
g
hu
m
an
-w
ild
lif
e
co
ex
is
te
nc
e
W
ild
na
tu
re
pr
ot
ec
ti
on
Re
w
ild
in
g
ap
pr
oa
ch
Tr
op
hi
c
re
w
ild
in
g
(8
0%
),
ec
ol
og
ic
al
re
w
ild
in
g
(3
0%
)
Tr
op
hi
c
re
w
ild
in
g
(8
8%
),
ec
ol
og
ic
al
re
w
ild
in
g
(8
1%
)
O
th
er
ap
pr
oa
ch
(8
2%
),
ec
ol
og
ic
al
re
w
ild
in
g
(4
1%
)
O
th
er
ap
pr
oa
ch
(3
8%
),
tr
op
hi
c
re
w
ild
in
g
(3
3%
)
O
th
er
ap
pr
oa
ch
(1
00
%
)
O
th
er
ap
pr
oa
ch
(9
1%
)
Ta
rg
et
ed
ec
ol
og
ic
al
pr
oc
es
se
s
Tr
op
hi
c
co
m
pl
ex
ity
(9
5%
),
na
tu
ra
l
di
st
ur
ba
nc
es
(9
5%
)
N
at
ur
al
di
st
ur
ba
nc
es
(1
00
%
),
tr
op
hi
c
co
m
pl
ex
ity
(9
4%
),
di
sp
er
sa
la
nd
co
nn
ec
tiv
ity
(5
6%
),
ot
he
re
co
lo
gi
ca
l
pr
oc
es
se
s(
56
%
)
N
at
ur
al
di
st
ur
ba
nc
es
(7
1%
),
ot
he
re
co
lo
gi
ca
l
pr
oc
es
se
s(
65
%
)
Tr
op
hi
c
co
m
pl
ex
ity
(8
1%
),
na
tu
ra
l
di
st
ur
ba
nc
es
(6
2%
)
Tr
op
hi
c
co
m
pl
ex
ity
(7
5%
)
Tr
op
hi
c
co
m
pl
ex
ity
(6
4%
),
na
tu
ra
l
di
st
ur
ba
nc
es
(5
5%
),
di
sp
er
sa
la
nd
co
nn
ec
tiv
ity
(3
6%
)
Ro
le
of
pe
op
le
Re
cr
ea
tio
ni
st
s
(1
00
%
),
en
tr
ep
re
ne
ur
s
(6
0%
),
le
ar
ne
rs
(5
0%
)
Le
ar
ne
rs
(1
00
%
),
re
cr
ea
tio
ni
st
s(
94
%
),
en
tr
ep
re
ne
ur
s(
81
%
),
pa
rt
ic
ip
an
ts
(6
9%
),
la
nd
us
er
s(
56
%
),
vo
lu
nt
ee
rs
(3
8%
)
Pa
rt
ic
ip
an
ts
(9
4%
),
re
cr
ea
tio
ni
st
s(
65
%
),
le
ar
ne
rs
(5
9%
)
Re
cr
ea
tio
ni
st
s
(4
3%
),
le
ar
ne
rs
(3
8%
)
Re
cr
ea
tio
ni
st
s
(1
00
%
),
la
nd
us
er
s
(1
00
%
),
en
tr
ep
re
ne
ur
(1
00
%
),
le
ar
ne
rs
(7
5%
),
pa
rt
ic
ip
an
ts
(7
5%
),
vo
lu
nt
ee
rs
(7
5%
)
Re
cr
ea
tio
ni
st
s(
82
%
),
en
tr
ep
re
ne
ur
s(
64
%
),
pa
rt
ic
ip
an
ts
(4
6%
),
le
ar
ne
rs
(4
6%
)
U
se
of
th
e
te
rm
?r
ew
ild
in
g?
(%
)
60
75
59
29
50
18
A
re
a
si
ze
(m
ed
ia
n)
(h
ec
ta
re
s)
74
1
95
00
23
00
16
,10
0
57
,5
00
17
,0
00
Pr
oj
ec
td
ur
at
io
n
(m
ed
ia
n)
(y
ea
rs
)
11
12
13
10
9.
5
15
No
te
:T
he
ta
bl
e
su
m
m
ar
iz
es
th
e
m
os
tr
el
ev
an
tc
ha
ra
ct
er
is
tic
sp
er
cl
us
te
r,
in
di
ca
tin
g
th
e
pe
rc
en
ta
ge
of
pr
oj
ec
ts
th
at
ar
e
ch
ar
ac
te
riz
ed
by
ea
ch
va
ria
bl
e.
Va
ria
bl
es
ar
e
on
ly
sh
ow
n
if
th
ey
ar
e
ch
ar
ac
te
ris
tic
fo
r?
30
%
of
al
lp
ro
je
ct
s
lis
te
d
pe
rc
lu
st
er
.I
co
ns
:A
m
el
ie
N
or
dh
ei
m
-P
er
er
a.
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iley.com
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iley O
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ibrary on [25/11/2025]. See the T
erm
s and C
onditions (https://onlinelibrary.w
iley.com
/term
s-and-conditions) on W
iley O
nline L
ibrary for rules of use; O
A
articles are governed by the applicable C
reative C
om
m
ons L
icense
FIGURE 3 Assigned roles of people across the six rewilding strategies. For each rewilding strategy, the percentage of projects (n = 89) assigning
one of six different roles to people is shown.
traditional land use, these initiatives mitigate threats (e.g., illegal
poisoning, poaching), remove artificial elements (e.g., fences),
modify land use practices, and conduct research and monitoring,
particularly where species are expanding. Efforts also involve
raising awareness among local communities through informa-
tion campaigns and training programs, as well as promoting
socioeconomic development by enabling local communities to
capitalize on economic opportunities arising from wildlife (e.g.,
through offering guided tours). People take on diverse roles,
ranging from land users, entrepreneurs to recreationists and
learners.
3.2.6 Wild Nature Protection
About 12% of all ERN projects are dedicated to conserving
areas of high biodiversity value already shaped by ecological
processes. Initiatives either include nature reserves, awareness-
raising initiatives, or wildlife-watching enterprises. While some
initiatives have undergone rewilding in earlier stages (e.g., Swiss
National Park), the primary focus lies on preserving existing
habitats and their species compositions. Notably, more than
half of these projects do not pursue ecological interventions but
promote wildlife watching and nature experiences to raise aware-
ness and support for existing conservation activities instead.
Socioeconomic development is promoted by creating new income
sources for local communities through nature-based tourism.
Common socioeconomic interventions include providing guided
tours, trails, accommodation, and hospitality services, as well
as developing novel business models considering people as
recreationists and entrepreneurs.
The six clusters exhibit distinct geographic distributions across
Europe (Figure 4). ?Megaherbivore rewilding? is most prevalent
in the Netherlands and the United Kingdom, while ?ecosys-
tem restoration? is the dominant strategy in Finland. ?Multi-
intervention rewilding? and ?species breeding and reintroduc-
tion? are also prominent in the United Kingdom but are more
evenly distributed across other countries of Central and South-
eastern Europe compared to other strategies.
4 Discussion
4.1 Rewilding Strategies: Variations and Their
Implications
The results show that European rewilding initiatives can be
categorized into six groups, each representing a distinct rewilding
strategy that differs in terms of ecological and socioeconomic
goals and interventions, targeted ecological processes, and the
role of people in the rewilding process. While this finding
supports previous claims that rewilding is a flexible and context-
dependent approach (Deary and Warren 2017; Hawkins et al.
2024a; Root-Bernstein et al. 2018), it also uncovered common pat-
terns across different contexts. These patterns typically encom-
pass multiple goals and interventions, indicating that rewilding
efforts depend on the integration of diverse activities to achieve
their (multiple) aims under existing social-ecological conditions.
Identifying and characterizing these recurring patterns, and the
challenges they respond to, can provide a first step in facilitating
learning and collaboration among rewilding practitioners.
The identified rewilding strategies are each shaped by a distinct
set of ecological and socioeconomic components, underscoring
the value of a holistic social-ecological perspective on rewilding
(cf. Hawkins et al. 2024b). In contrast to previous conceptual
classifications, which focus on ecological objectives and inter-
ventions as the main distinguishing features (e.g., Jørgensen
2015; Pettorelli et al. 2018), the analysis suggests that socioeco-
nomic elements significantly contribute to the observed diversity
in rewilding practice. It is plausible that some of the co-
occurrences in ecological and social elements are caused by
mutual interdependencies. Taking a social-ecological perspective,
future research could explore to what extent these rewilding
strategies reflect distinct social-ecological realities or different
ideas of human?nature interactions in rewilding (Glentworth
et al. 2024). The geographic distribution of rewilding strategies in
Europe further suggests that cultural and socio-political factors
(Root-Bernstein et al. 2018; Thomas 2022), alongside ecological
conditions, may shape variation in rewilding practices. For
instance, ?megaherbivore rewilding? appears more prominent in
countries like the United Kingdom or the Netherlands, where it
likely reflects both practical adaptations to spatial constraints and
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iley.com
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iley O
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ibrary on [25/11/2025]. See the T
erm
s and C
onditions (https://onlinelibrary.w
iley.com
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s-and-conditions) on W
iley O
nline L
ibrary for rules of use; O
A
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reative C
om
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ons L
icense
FIGURE 4 Geographic distribution of the rewilding projects across Europe, categorized by rewilding strategy. Themap illustrates the total number
of projects enlisted in the European Rewilding Network for each country (n = 89, October 2023). Cross-border projects are counted separately for each
country involved.
a preference for strategies that are more politically and socially
acceptable than those requiring more radical transformations of
the landscape (e.g., carnivore reintroductions or passive rewild-
ing) (Thomas 2022). Furthermore, national patterns in rewilding
practices may also be shaped by dominant discourses within
practitioners? networks and the influence of flagship projects
(e.g., Oostvaardersplassen or Knepp Estate). Considering these
factors in future analyses could offer deeper insights into the
origins and geographic proliferation of the identified rewilding
strategies.
To our knowledge, the present study provides the first systematic
analysis of the role of people in existing rewilding projects
at a European scale and using self-reported data from those
projects. This European-wide, systematic approach complements
earlier studies (Deary and Warren 2017; Glentworth et al. 2024;
Holmes et al. 2019), which explored people?s roles in rewilding as
perceived by rewilding practitioners and other actors. However,
those studies were limited to specific countries or individual
rewilding sites. In line with their findings, we also find that
the majority of rewilding initiatives actively provide space for
human?nature interactions. The most prominent roles are recre-
ationists, learners, and entrepreneurs, reflecting a commitment
to foster awareness-raising, socioeconomic development, and
nature experiences through rewilding. These findings indicate
that rewilding projects differ from established ideas of wilderness
protection that tend to favor people-free places (Vannini and
Vannini 2019; Ward 2019). Instead, rewilding projects seek to
increase the wildness of existing (cultural) landscapes while
fostering different forms of human?nature co-existence (Hawkins
et al. 2024a; Massenberg et al. 2023). However, the analysis also
demonstrates that the six rewilding strategies exhibit significant
variation in the roles assigned to people, suggesting that their
feasibility may be contingent on other rewilding objectives and
interventions. Future research may explore such contingencies
in greater depth, while also examining how benefits and costs of
rewilding are distributed across these roles and experienced by
different members of local communities and other actor groups.
The broad spectrum of identified rewilding strategies demon-
strates that established theoretical distinctions between rewilding
and other restoration and conservation approaches can become
blurred in practice (Mutillod et al. 2024; Pettorelli and Bullock
2023). For instance, existing projects focusing on the recov-
ery of specific ecosystems, such as wetlands or rivers, exhibit
similar socioeconomic elements but differ with regard to their
ecological goals and interventions. While some adopt an open-
ended approach focused on the restoration of self-regulating
ecosystems, akin to established definitions of rewilding (Carver
et al. 2021), others implement classical restoration methods by
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restoring degraded ecosystems based on pre-defined reference
states (Pettorelli and Bullock 2023). Furthermore, the identified
strategy ?wild nature protection? exhibits numerous character-
istics of traditional process-oriented conservation strategies such
as wilderness protection (Zoderer et al. 2024). This suggests that
practitioners may not perceive a clear conceptual divide between
the two conservation approaches but instead consider the latter
as a continuation of rewilding efforts, particularly once ecological
processes have become established.
A comparison of the six rewilding strategies and the 10 rewild-
ing principles formulated by the IUCN Rewilding Task Group
(Carver et al. 2025) further shows that the six strategies tend to
meet those principles to varying degrees. While projects employ-
ing ?multi-intervention rewilding? meet all the 10 principles,
other strategies fall short with regard to specific principles.
For example, projects focused on ?megaherbivore rewilding? or
?species breeding and reintroduction? may struggle to imple-
ment a landscape-scale approach in line with the 3C?s model.
Similarly, some initiatives classified as ?ecosystem restoration?
do not fully embrace the principle of ecological dynamism,
instead aiming to recover andmaintain ecosystems in pre-defined
states. These patterns suggest that in practice some rewilding
initiatives are less ambitious than proposed by emerging inter-
national rewilding standards, likely reflecting the need to adapt
to local social-ecological conditions and existing value systems.
These observations underscore the importance of balancing the
promotion of rewilding as an adaptive, place-based restoration
approach with clear communication of its core principles to
prevent misinterpretation of the concept and a potential dilution
of its original meaning.
4.2 Limitations and Caveats
While our study highlights important variations in rewilding
strategies within one of the largest global rewilding networks,
some methodological limitations warrant consideration. First,
the project descriptions analyzed were primarily intended for
public communication and therefore likely place more weight to
the aspirations and strategic considerations of project managers
than the practical realities and experiences of other actors.
Future research should therefore complement our analysis with
empirical fieldwork to assess how strategies perform on the
ground and adapt their objectives and interventions to evolving
environmental and socio-political conditions. Second, our focus
on a single project database may have introduced a potential
bias. Although this approach facilitated a systematic comparison
of a large number of projects using comparable data and stan-
dardized indicators, it may have excluded rewilding projects that
do not meet the network?s selection criteria. For instance, the
sample likely overrepresents larger projects and those prioritiz-
ing socioeconomic goals, given their importance to Rewilding
Europe?s project selection. In absolute terms, it is possible that
the present analysis may have overlooked projects that do not
associate themselves with the network or rewilding concept due
to strategic reasons despite pursuing comparable strategies on
the ground. We thus encourage future research to build on this
initial taxonomy of rewilding strategies by incorporating projects
from additional (inter)national networks (e.g., Rewilding Britain,
Global Rewilding Alliance) and data sources to ensure broader
representation.
5 Conclusion
Our systematic analysis of rewilding projects enlisted in the
European Rewilding Network revealed six distinct rewilding
strategies. The findings suggest that for rewilding research to be
relevant for practitioners, study designs, and the communication
of the research results need to be tailored to these specific rewild-
ing strategies. As rewilding gains increased support in national
and international policy arenas (Carver et al. 2025; Cary and
Wartmann 2025), the identified diversity in strategies cautions
against a uniform, ?one-size-fits-all? policy approach. Instead, a
diversified and tailored policy mix will be required that responds
to the distinct ecological and socioeconomic characteristics of
each strategy and their interplay. More broadly, maintaining
diversity in rewilding practices whilst adhering to shared prin-
ciples and guidelines will be key to advancing rewilding as a
social-ecological, place-based, and adaptive restoration approach.
We encourage future research to extend beyond the European
perspective adopted in this study to examine the relevance and
distribution of these strategies in other regions and to identify
potential additional ones. A better understanding of the full
spectrum of rewilding strategies worldwide and their underlying
driving factors will provide a critical foundation for cross-site
learning and the development of tailored policy and planning
tools.
Author Contributions
Brenda Maria Zoderer: writing ? original draft, conceptualization,
methodology, investigation, formal analysis, visualization. Johan Busse
von Colbe: writing ? review and editing, methodology, investigation.
Jacqueline Loos: writing ? review and editing, conceptualization,
methodology, investigation.
Acknowledgments
Jacqueline Loos thanks the University of Vienna for a start-up grant
and Leuphana University Lüneburg for the facilitation of a junior
professorship, supported by the Robert-Bosch Foundation. We would like
to thank Amelie Nordheim-Perera for creating the icons in this study.
Open Access funding provided by Universitat fur Bodenkultur
Wien/KEMÖ.
Data Availability Statement
Data produced and analyzed in this study can be downloaded from
https://doi.org/10.5281/zenodo.17121279.
EndNotes
1 Some authors suggest that the term ?rewilding? was already used earlier
in an non-Western context, such as India or Africa, to denote the process
of rehabilitating captive predators in the wild (Hayward et al. 2019).
2https://rewildingeurope.com/european-rewilding-network/.
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https://doi.org/10.5281/zenodo.17121279
https://rewildingeurope.com/european-rewilding-network/
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Supporting Information
Additional supporting information can be found online in the Supporting
Information section.
SupplementaryMaterial: conl13157-sup-0001-SuppMat.docx
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Rewilding in Europe: A Systematic Characterization and Classification of 89 Rewilding Projects
1 | Introduction
2 | Methods
2.1 | Data Collection
2.2 | Data Analysis
3 | Results
3.1 | Overview of European Rewilding Network Projects
3.2 | Six Rewilding Strategies in Practice
3.2.1 | Megaherbivore Rewilding
3.2.2 | Multi-Intervention Rewilding
3.2.3 | Ecosystem Restoration
3.2.4 | Species Breeding and Reintroduction
3.2.5 | Fostering Human-Wildlife Coexistence
3.2.6 | Wild Nature Protection
4 | Discussion
4.1 | Rewilding Strategies: Variations and Their Implications
4.2 | Limitations and Caveats
5 | Conclusion
Author Contributions
Acknowledgments
Data Availability Statement
EndNotes
References
Supporting Information