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Acta Oecologica 110 (2021) 103713

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                                                                          Acta Oecologica
                                                         journal homepage: www.elsevier.com/locate/actoec

Population trends of four species of amphibians in western France; results
from a 15 year time series derived from road mortality counts
Roger Meek
Institute for Development, Ecology, Conservation and Cooperation, Via G. Tomasi di5 Lampedusa 33, I-00144 Rome, Italy

A R T I C L E I N F O                                     A B S T R A C T

Keywords:                                                 Reports of declining amphibians are a major concern for conservation given their role as indicators of envi­
Amphibians                                                ronmental change. This includes potentially impacting on the ecology other species and highlights the impor­
Population changes                                        tance of monitoring long-term changes in amphibian populations. The core difficulty is gathering long term data
Road mortalities
                                                          sets that as well as being time consuming, may be costly and impractical for logistical reasons. Road mortalities
West France
                                                          have value in this respect since they are highly visible and have been frequently used as a metric to monitor
                                                          changes in a variety of animal populations. In this paper they have been employed as proxies to estimate long-
                                                          term population changes in four European species of amphibians. From January 2005 to December 2019 a total
                                                          of 747 amphibian mortalities were recorded, the majority of which were urodeles. Most individuals were adults
                                                          that entered roads during the annual migration period. Long term annual counts fluctuated widely in all species
                                                          and peaked during the 4-year period from 2009 to 2012 with second period of high numbers in Triturus mar­
                                                          moratus and Hyla arborea during 2018 and 2019. Long-term population trends were evaluated using regression
                                                          analysis of the logarithmic (loge) transforms of annual counts against year as independent variables, which were
                                                          then tested against a hypothetical 0 regression coefficient, indicative of population stability. The results indicated
                                                          long-term stability in T. marmoratus and H. arborea but potential declines in Lissotriton helveticus and Pelophylax
                                                          lessonae, the latter showing metapopulation extinctions followed by recolonisation. Stepwise regression of po­
                                                          tential climate drivers in amphibian numbers suggested a 2-year lag of rainfall during October and December
                                                          were potential factors involved in population change.

1. Introduction                                                                                    Road mortalities have long been implicated in amphibian population
                                                                                               decline (Beebee, 2013) but they have also been widely employed as
    During the previous decades amphibian biologists have documented                           proxies to examine population changes in amphibians (e.g. Meyer et al.,
sudden or rapid population shifts or declines in amphibians (e,g,                              1998; Meek, 2018), snakes (Capula et al., 2014; Rugiero et al., 2013),
Blaustein et al., 1994; Blaustein et al., 2011; Meyer et al., 1998; Hou­                       lizards (Meek, 2020) and mammals (e.g. Mallick et al., 1998; Baker
lahan et al., 2000; Green, 2003) with a series of multifaceted in­                             et al., 2004; Widenmaier and Fahrig, 2006; Battisti et al., 2012; D’Amico
teractions being proposed as factors driving the changes (e.g. Collins and                     et al., 2018). As metrics road mortalities give only an index of abun­
Storfer, 2003). These include chaotic population dynamics due to time                          dance but have value in that they are highly visual on road surfaces
lags in density dependent responses (e.g. Wilbur, 1990), climatic effects                      minimising detection problems (Beebee and Griffiths 2005; Beckmann
and habitat alterations by humans (e.g. Hanski, 1998; Alford and                               and Shine, 2014) and if carcasses are removed they represent indepen­
Richards, 1999; Carlson and Edenhamn, 2000; Hartel, 2005; Gollmann                             dent replicates and hence avoid double counting and autocorrelation.
et al., 2002) and disease (e.g. Ariel et al., 2005). Amphibians are now                        The long-term data series they generate facilitates predictions of how
considered bio-indicators of ecosystems where major population                                 populations change over time, which is key information for establishing
changes may seriously impact on other species, for instance snake                              a valid conservation strategy (e.g. Ferri et al., 2017). Further insights can
populations (Zipkin et al., 2020), highlighting the importance of moni­                        be achieved if several sympatric species are monitored simultaneously
toring long-term trends. This is especially relevant in fragmented land­                       enabling comparison of inter-specific trends, and when sourced from
scapes, where species that operate through metapopulation dynamics                             fragmented habitats they provide a degree of understanding of trends in
can be seriously impacted (Levins, 1970).                                                      areas that are a major concern for amphibian populations.

    E-mail address: rogermeek85@aol.com.

https://doi.org/10.1016/j.actao.2021.103713
Received 17 August 2020; Received in revised form 25 January 2021; Accepted 6 February 2021
Available online 27 February 2021
1146-609X/© 2021 Published by Elsevier Masson SAS.
Acta Oecologica - Roger ...
R. Meek                                                                                                                             Acta Oecologica 110 (2021) 103713

    Despite the importance of long-term data sets such data are still,               Vendee, western France, The locality is dominated by agriculture that
perhaps not surprisingly, rare in the literature probably a consequence              had experienced little or no major changes in land use during the study
of the long-term effort and funding required. This paper presents results            period from 2005 to 2019. The general climate is mild oceanic with
of an ongoing long-term monitoring program to determine population                   mean annual air temperature 13–14 ◦ C. July–August are the hottest and
trends in four species of European amphibians; Hyla arborea, Pelophylax              driest months (mean ≈ 22 ◦ C) with high precipitation from October until
lessonae, Lissotriton helveticus and Triturus marmoratus (Fig. 1). Two               February. During summer when rainfall is low it is normal for all but the
species, H. arborea and L. helveticus, are known to undergo major pop­               largest water bodies to dry up.
ulation shifts with apparent declines in areas of Europe (eg Stumpel,                    Life history cycles of L. helveticus and T. marmoratus are in general
1987a,b; Denoel et al., 2005; Pellet et al., 2006) whilst P. lessonae is             similar (Arnold and Ovenden, 2002). Both species arrive at ponds from
known for unusual population dynamics, including population crashes                  terrestrial habitat between November and January with courtship and
and low reproductive success (e.g. Sjögren, 1991; Bressi, 1995; Zahn,               reproduction taking place almost immediately with egg laying from the
1996).                                                                               beginning of February before returning to terrestrial habitats from late
    The present study was carried out in a fragmented landscape in                   May/June. During the summer terrestrial phase T. marmoratus appar­
Vendee, western France where extensive modification of the environ­                  ently remain inactive below ground with several also being found in
ment as a result of agricultural activities, including use of agrochemi­             drains (Jehle, 2000 & pers. observations). The green frog P. lessonae
cals, are a normal annual activity (Meek, 2018). Agricultural activities in          spends the summer months around ponds and other water bodies but is
fragmented landscapes are two major factors identified in amphibian                  inactive in winter hibernating at the bottom of ponds. The tree frog
declines (e.g. Blaustein et al., 1994; Battisti et al., 2016). In the study          H. arborea appears near ponds in March/April with spawn clumps found
area amphibian migration to breeding ponds occurs mostly from                        from late April to June. They remain close to ponds during the summer
October through to December in urodeles or during late summer due to                 months at distances of around 12 m from the pond edge mostly in shaded
pond drying or in early winter for hibernation in ponds in P. lessonae.              areas but also in partial sunny locations (Meek, 2011). Longer distance
Hence samples represent mostly breeding adults.                                      movement commences around mid-August with calling until November.
    The key questions addressed in this study are 1) do sympatric am­                Examples of each species are shown in Fig. 1.
phibians show similar long term population trends and is there evidence                  Mortalities were collected on roads (distance ≈16 km) between
for population declines? 2) to what extent do numbers fluctuate on an                wetland areas close to the villages of St Denis du Payre, and Chasnais.
annual basis? 3) are there long term changes in population size char­                The distance between the two is approximately 6 km (see Meek, 2012 for
acteristics ? 4) is there evidence for climate effects on amphibian                  a schematic view). Surveying for road mortalities commenced 2005 and
numbers?                                                                             were made four and six times per month throughout each year. Normally
                                                                                     surveys were undertaken at mid-week and weekends. This was by a
2. Methods                                                                           single observer on a bicycle at a speed of around 5–10 km/h. Tests of
                                                                                     comparison of carcass detection showed that detection increased when
   The study area (46◦ 27′ N; 1◦ 53′ W) is a fragmented landscape in                 using a bicycle compared to motorcar or motorcycle. When found each

          Fig. 1. Examples of study species; H. arborea (A), P. lessonae in amplexus (B), T. marmoratus female depositing eggs (C) and L. helveticus (D).

                                                                                 2
Acta Oecologica - Roger ...
R. Meek                                                                                                                            Acta Oecologica 110 (2021) 103713

individual was measured for snout to vent length (S.V.L.) with an esti­              variables evaluated at α = 0.05. Inclusion in a forward construction
mated maximum error of 5% depending on carcass condition. Each                       model was by introducing each significant variable at a time then adding
located carcass was removed to avoid double counting. Road traffic                   each new candidate variable incrementally to the model. If a new var­
volume increased slightly during the period 2005 to 2019 with counts                 iable candidate reduced the significance level it was omitted. It is
showing means of 11.1–60.2 vehicles per hour depending on the road                   appreciated that independent variable selection in arbitrary but the
(Meek, 2012). Low road mortality counts in P. lessonae were supported                method is reasonable when the number of candidate variables is not
by additional data from pond presence including during spring summer                 large (Gotelli and Ellison, 2004).
2020 giving 16 years for this metric. Five large ponds were selected and                 Climatic information has been sourced from the nearest weather
regularly checked for P. lessonae presence. The criterion for ‘pond                  station at La Rochelle-Le Bout Blanc, which is approximately 35 km from
presence’ was defined as a minimum of 15 frogs at each pond and that                 the study locality (https://www.infoclimat.fr/climatologie/annee/
larvae or spawn should be present indicating reproduction.                           2000/la-rochelle-le-bout-blanc/valeurs/07315.html).

                                                                                     3. Results
2.1. Statistical analysis
                                                                                         A total of 747 amphibians were found on roads with urodeles the
    To evaluate long-term population regression analysis was applied to
                                                                                     most frequently found; L. helveticus n = 281, T. marmoratus n = 265 and
annual counts as the dependent variable after transformation to loga­
                                                                                     H. arborea n = 154 and P. lessonae 47. All species were found throughout
rithms (Loge) and treating year as the independent variable. This gives,
                                                                                     the year but monthly distributions were negatively skewed in
logeN = b + m±ε*year                                                                 L. helveticus; z = 2.86, P = 0.004, T. marmoratus z = 2.82, P = 0.005 and
                                                                                     P. lessonae z = 1.16, P = 0.04, reflecting the periods of migration to
    Where logeN, represents road mortalities, m the regression coeffi­               breeding ponds but although trends were similar in H. arborea the result
cient and b the y-intercept and ε white noise error. The latter in­                  was not significant, z = 0.61, P = 0.54. Monthly distributions are shown
corporates measurement error and random variation (Gotelli and                       in Fig. 2 along with broken lines derived from theoretical expected
Ellison, 2004). In P. lessonae mortality counts and pond presence had 4              monthly numbers under a hypothesis of equality of monthly counts
years with 0 counts and hence in both the dependent variable was                     using:
treated as logeN+1. The null hypothesis is that logeN (or logeN+1) is
stable when m = 0; significant departures from m would indicate pop­                 Expected = 1/N1*N2
ulation change with positive or negative regression coefficients repre­
                                                                                     where N1 is number of months and N2 the total sample size for each
senting population increase or decrease respectively. Departures from
                                                                                     species. Multiplying or dividing expected numbers by the actual
the 0 regression coefficients were evaluated using t-tests at n-2 d.f.
                                                                                     numbers can find monthly deviations from the expected. Monthly
(Bailey, 1995). Data were drawn from all roads pooled for each year
                                                                                     presence on roads increased with increasing rainfall in L. helveticus and
giving 15 data sets.
                                                                                     T. marmoratus r = 0.8 and 0.79 respectively (both P = 0.002) but
    Since unusually high or low year counts could potentially have an
                                                                                     monthly rainfall was not significant in H. arborea (r = 0.50, P = 0.09) or
inordinate effect on m, tests for influence function (Gotelli and Ellison,
                                                                                     P. lessonae (r = 0.24, P = 0.45).
2004) were carried out to estimate the potential errors of the true
                                                                                         Pooled annual SVL’s distributions between 2005 and 2019 indicated
regression coefficients using Jackknifing (Sahinler and Topuz, 2007).
                                                                                     the distributions of urodeles and P. lessonae were significantly skewed
This non-random method produces repeatable results by systematically
                                                                                     toward larger individuals (D’Agostino skewness test; T. marmoratus g1 =
removing one-year data sets from the sample with regression analysis
                                                                                     − 0.69, z = − 3.68, P = 0.0002; L. helveticus g1 = − 0.59, z = − 3.54, P =
re-applied to the jackknifed sets giving a series of pseudo-m values. The
                                                                                     0.0003, P. lessonae g1 = 2.08, z = 3.43, P = 0.0005) (Fig. 3). The minor
means of the pseudo m coefficients were then compared against the true
                                                                                     positive skew towards smaller individuals in H. arborea did not differ
coefficients.
                                                                                     significantly from a Gaussian distribution (g1 = 0.01, z = 0.069, p =
    Homogeneity in annual counts were evaluated by Leven’s test for
                                                                                     0.945). ANOVA with Tukey Pairwise indicated significant differences
equality of multiple variances. This is less sensitive to departures from
                                                                                     between yearly S.V.L in all species (Table 1) with greatest fluctuations in
normality and considers the distances of the observations from their
                                                                                     L. helveticus (Fig. 4). Less variation in annual S.V.L. was found in
sample medians. The test is also robust for smaller samples (Box and
                                                                                     T. marmoratus and H. arborea. The presence of a series of zero counts
Jenkins, 1976) and rejects equality of variance when,
                                                                                     from 2015 to 2018 in P. lessonae probably signify true zeros rather than
W > Fα,   k-1, N-k
                                                                                     measurement error and hence represent a local extinction event (Gotelli
                                                                                     and Ellison, 2004).
where W is the test statistic, Fα, k-1, N-k the upper critical value of the F-           Wide annual changes in numbers were observed in all species with
distribution k-1 and N-k degrees of freedom with significance α at P =               long-term variance greatest in L. helveticus and T. marmoratus. In general
0.05. Post hoc tests were with Tukey HSD.                                            annual counts peaked during the 4-year period from 2009 to 2012 when
    Long-term inter-population correlation of trends between species                 50.1% of all mortalities were recorded. A second period of high numbers
were assessed using the Pearson correlation coefficient with α = 0.05.               was recorded in 2018 and 2019, which formed 17.9% of the total
Tests for skewness in S.V.L. distributions were made using the D’Ag­                 sample. The test for homogeneity of annual variance between species
ostino skewness test (g1) using z –scores against a null hypothesis of S =           was rejected (Leven’s = 3.2, p = 0.03, multiple comparisons test, P =
0, (D’Agostino et al., 1990).                                                        0.005) with post hoc Tukey indicating a significant difference between
    To test for potential climatic effects on population changes in annual           L. helveticus and P. lessonae (Tukey HSD = 4.005). All species, except
counts stepwise regression was applied to selected climatic variables as             T. marmoratus, showed years with outliers. The results are shown in
independent or predictor variables and compared to annual amphibian                  Fig. 5.
counts as the response or dependent variable. Climatic variables were                    Regression analysis of long-term numbers gave positive coefficients
long term monthly and total annual rainfall along with annual temper­                that were not significantly different from 0 in T. marmoratus and
atures during the study period. These data were further analysed by                  H. arborea suggesting that despite wide annual fluctuations long-term
lagging the climate data to 1, 2 and 3 years previous to annual counts for           numbers were generally stable. Jackknife analysis identified a strong
comparisons. Initial analysis was by applying regression to each inde­               influence function in H. arborea in 2018 that increased the positivity of
pendent variable against the response variable for inclusion in the final            the regression coefficient. In L. helveticus and P. lessonae the coefficients
model (Gotelli and Ellison, 2004) with significance for the independent

                                                                                 3
R. Meek                                                                                                                                                            Acta Oecologica 110 (2021) 103713

Fig. 2. Histograms of monthly presence indicating differences in movement onto roads in T. marmoratus and L. helveticus during October into January compared to
the anurans.

                              30                                                                         30

                                         T. marmoratus                                                                L. helveticus
                              25                                                                         25

                              20                                                                         20
                  Frequency

                              15                                                                         15

                              10                                                                         10

                                5                                                                         5

                                0                                                                         0
                                    30       40         50          60     70        80        90              10               20             30             40                 50

                                                                                                         14
                           25
                                         H. arborea                                                      12
                                                                                                                    P. lessonae
                           20
                                                                                                         10
               Frequency

                           15                                                                             8

                                                                                                          6
                           10

                                                                                                          4
                            5
                                                                                                          2

                            0                                                                             0
                                20                30           40           50            60
                                                                                                              20      30   40        50   60    70      80   90      100   110
                                                             S.V.L (mm)                                                                   S.V.L. (mm)

                                                  Fig. 3. Histograms showing SVL distributions in the four study species. See text for details.

were negative suggesting possible long-term declines in L. helveticus but                               high), T. marmoratus (2006 low) and L. helveticus (2010 & 2012 high).
not necessarily in P. lessonae (see below and Discussion). The regression                               The long-term trends are shown in Fig. 6A and B.
coefficients are shown in Table 2 along with the outcomes from the                                          Long-term annual number trends were closely correlated between
jackknife analysis, which were in good agreement with the true co­                                      T. marmoratus and L. helveticus and H. arborea but not between
efficients. Jackknifing identified high influence functions in P. lessonae                              L. helveticus and H. arborea. No long-term trends were found between
for 2010 road counts (in 12 of 15 jackknifes) and 2019 data for pond                                    P. lessonae and the remaining species. The full results can be found in
presence (in 11 of 15 Jackknifes), which could potentially give a                                       Table 3 in addition to comparisons with other small sympatric am­
disproportionate leverage function on the true long-term regressions.                                   phibians and lizards – see Discussion.
Less impacted were the outcomes for H. arborea (2006 low and 2017                                           If generation time is assumed to be approximately 2–3 years the

                                                                                                    4
R. Meek                                                                                                                                                                                                            Acta Oecologica 110 (2021) 103713

Table 1                                                                                                                                      with highest rainfall but if long winter dry periods occur this may impact
Intra-specific comparisons of annual S.V.L. ranges of road-killed amphibians                                                                 on migratory movement to water bodies. Absence of significance of
using ANOVA and post hoc Tukey Pairwise Comparison tests. See text for further                                                               annual temperatures, lagged or otherwise, is perhaps an expected result
details.                                                                                                                                     given less thermal dependency in amphibians compared to reptiles.
                   Ranges of annual means (m.                                       (F)                 df               P                   However, stepwise regression has been subject to criticism as potentially
                               m.)                                                ANOVA                                                      oversimplifying the results (e.g. Roecker, 1991) suggesting further cli­
 T. marmoratus                                 52.5–70.0                            2.14              14,              0.01                  matic data and time series extensions are needed to detect potentially
                                                                                                      271                                    spurious statistical effects (e.g. Lukacs et al., 2010). Additionally, in­
 L. helveticus                                 21.8–38.5                            8.74              11,
R. Meek                                                                                                                                                                                                     Acta Oecologica 110 (2021) 103713

Table 2
Regression coefficients (m) relating annual mortality or pond presence counts between 2005 and 2019 along with results of Jackknife analysis (m JK). For m the
±values are standard errors of the coefficients. For the jackknife ± are the standard deviations of the pseudo-regression coefficients. Right column identifies years with
influence functions either low L or high H.
                                                              m                    ± (SE)           t                 P                                           m JK                      ± (SD)                    n               Influence F

 L. helveticus                                                − 0.10               0.06             1.8               0.10                                        − 0.09                    0.02                      15
 T. marmoratus                                                0.06                 0.007            8.5
R. Meek                                                                                                                                       Acta Oecologica 110 (2021) 103713

(Stumpel, 1987a,b; Stumpel and Hanekamp, 1986). Pellet et al. (2006)                 some insight into potential stochastic exogenous influences on long term
suggested that in Switzerland both intrinsic and extrinsic factors are               trends, for instance rainfall patterns and temperatures. In the present
involved in driving population change including log-linear density                   study the results varied, for example there were significant correlations
dependence and 2 year rainfall lags (Friedl and Klump, 1997) that                    between annual numbers of H. arborea and T. marmoratus and the agile
precipitation during the reproductive season impacts on larvae survi­                frog Rana dalmatina (Meek, 2016 and unpublished data) and between
vorship and recruitment.                                                             and T. marmoratus and B. spinosis (Table 3).
    The marbled newt T. marmoratus showed greater population stability                   This study supports the notion that road mortalities represent a
with least annual variance and SVL variation. This species has a lifespan            valuable metric to quantify amphibian road mortality suggesting that in
of around 9 years, at least in females (Jakob et al., 2003), employs toxic           addition to representing independent replicates the trends represent
(tetrodotoxin) skin secretions as a defence mechanism (Griffiths, 1996)              samples of breeding individuals and a proxy for population change.
with limited movement to summer home ranges (Jehle, 2000) all of                     Short-term data sets may reveal important demographic information (e.
which may contribute to low natural and road mortalities and popula­                 g. size or age structure) but they are less useful in verifying the key in­
tion stability. The extraordinary changes in numbers and presence                    formation required for conservation strategies. Computer simulations
observed in the green frog P. lessonae have been reported previously in              have indicated that detecting a true population decline increases with
other regions (e.g. Sjögren, 1988, 1991; Zahn, 1996). Low road mor­                 the duration of the study period (Scherer and Tracey, 2011); for instance
tality counts compared to the other species likely involve strong site               a short-term study might have concluded the absence of P. lessonae after
fidelity and hence limited longer distance movement during much of the               2015 was a fatal extinction event. Additionally, annual counts were
year. However, mark-release-recapture studies have indicated                         lower than statistically expected for most of the 15-year time series in all
P. lessonae may travel distances of up to 15 km (Tunner, 1992), which                species (66% in P lessonae to 73% in L. helveticus). This generally agrees
must facilitate pond recolonisation. A mass migration event in                       with the comment of Alford and Richards (1999) that population de­
P. lessonae was recorded in the study area during the autumn of 2010,                clines could outnumber population increases without indicating overall
the year of highest road mortality counts, when over several days large              decline in population (but see Green, 2003).
numbers were observed moving nocturnally. High densities at ponds                        Given the above comments it is clear that continued population
and a period of high rainfall possibly drove this event and probably                 monitoring in the study locality is essential to significantly improve
represent a recolonisation. Pond presence, although of value, does not               understanding of long-term population change especially in P. lessonae
give detailed estimates of numbers, especially during periods of high                and L. helveticus, species that are potentially at risk. The limited time
abundance when counting is difficult or impossible. Lack of agreement                frames when most mortalities (e.g. seasonal) occur must facilitate con­
was mostly between mortalities and pond presence previous to 2010                    servation efforts. For example public information signs warning of road
when the numbers were very high, uncountable and hence inexact, but                  crossing amphibians that have been erected in the UK for common toads
even with this statistical anomaly the two data sources are correlated               have been shown to be effective (e.g. Beebee, 2013). Underground
long term (r = 0.64, P = 0.01) and congruent in showing declines from                crossings on known main migration routes installed on the A83 auto
2011/2012 followed by total absence from 2015 to 2018 and limited                    route in France (Mougey, 1996) represent simple mitigation measures
recovery in 2019/2020. This suggests metapopulation extinctions fol­                 that could have a critical impact on the long term viability of amphibian
lowed by recolonisation, known in other areas of Europe for Pelophylax               populations.
(e.g. Sjögren, 1988, 1991; Zahn, 1996), as is low or complete repro­
ductive failure (Bressi, 1995; Bressi, 1998). For example, Zahn (1996)               Declaration of competing interest
found that ponds in Upper Bavaria occupied by P. synkl.esculenta were
generally characterised by low reproductive success whilst in the                        The author declares that he has no known competing financial in­
Netherlands it was as low as 12% (Stumpel and van der Voet, 1998).                   terests or personal relationships that could have appeared to influence
Strong site fidelity during the summer months probably increases                     the work reported in this paper.
vulnerability to Procambarus clarki, an alien crayfish that consumes all
stages of amphibian development, especially spawn and larvae, and is
                                                                                     Acknowledgements
known to have major impacts on amphibian populations in Europe and
elsewhere (Kats and Ferrer, 2003; Ficetola et al., 2011; Nunes et al.,
                                                                                        Comments by two reviewers and editor Dr Luca Luiselli made valu­
2013). This species is capable of reaching epidemic proportions in the
                                                                                     able suggestions to improve the original submitted manuscript.
study area as it is in other regions (Souty-Grosset et al., 2016; Meek,
2018).
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