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  <front>
    <journal-meta><journal-id journal-id-type="publisher">WE</journal-id><journal-title-group>
    <journal-title>Web Ecology</journal-title>
    <abbrev-journal-title abbrev-type="publisher">WE</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Web Ecol.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1399-1183</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/we-18-121-2018</article-id><title-group><article-title>The influence of plant species richness on<?xmltex \hack{\break}?> stress recovery of humans</article-title><alt-title>The influence of plant species richness on stress recovery of humans</alt-title>
      </title-group><?xmltex \runningtitle{The influence of plant species richness on stress recovery of humans}?><?xmltex \runningauthor{P.~Lindemann-Matthies and D. Matthies}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Lindemann-Matthies</surname><given-names>Petra</given-names></name>
          <email>petra.lindemann-matthies@ph-karlsruhe.de</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Matthies</surname><given-names>Diethart</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Institute of Biology, Karlsruhe University of Education, Karlsruhe, Germany</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Institute of Evolutionary Biology and Environmental Sciences,
University of Zurich, Zurich, Switzerland</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Department of Ecology, University of Marburg, Marburg, Germany</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Petra Lindemann-Matthies (petra.lindemann-matthies@ph-karlsruhe.de)</corresp></author-notes><pub-date><day>29</day><month>August</month><year>2018</year></pub-date>
      
      <volume>18</volume>
      <issue>2</issue>
      <fpage>121</fpage><lpage>128</lpage>
      <history>
        <date date-type="received"><day>10</day><month>March</month><year>2018</year></date>
           <date date-type="rev-recd"><day>5</day><month>August</month><year>2018</year></date>
           <date date-type="accepted"><day>9</day><month>August</month><year>2018</year></date>
      </history>
      <permissions>
        
        
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://we.copernicus.org/articles/18/121/2018/we-18-121-2018.html">This article is available from https://we.copernicus.org/articles/18/121/2018/we-18-121-2018.html</self-uri><self-uri xlink:href="https://we.copernicus.org/articles/18/121/2018/we-18-121-2018.pdf">The full text article is available as a PDF file from https://we.copernicus.org/articles/18/121/2018/we-18-121-2018.pdf</self-uri>
      <abstract>
    <p id="d1e101">Natural sceneries or single plants may have positive influences on human
health. Here we show that plant species richness can positively influence
recovery from stress. Meadow-like arrays of different species richness (1,
16, 32, 64 species) were presented to visitors (<inline-formula><mml:math id="M1" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">171</mml:mn></mml:mrow></mml:math></inline-formula>) of a popular park
in Zurich, Switzerland (one array per participant). Participants' systolic
blood pressure was measured twice: directly after they had been stressed and
once again after a 2 min post-stress relaxation period during which
they looked at one of either the meadow-like arrangements of plants in pots
or at bare ground, shielded on three sides by a tent-like structure. The
decrease in blood pressure was larger when respondents could view an
arrangement of plants instead of ground without vegetation. Relaxation was
strongest at intermediate species richness (32 species). Age,
gender, and a person's attachment to nature did not influence relaxation. Our results
indicate that species-rich vegetation may contribute to recovery from stress
which should be considered in landscape management and planning.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p id="d1e123">Biodiversity represents the foundation of ecosystems that, through the
services they provide, affect human well-being, with health as one of its
main components (MEA, 2005). According to the World Health Organization
(WHO, 2018),
“health is a state of
complete physical, mental and social well-being and not merely the absence
of disease or infirmity”. However, little is known about how biodiversity,
and species richness in particular, contribute to human health (Dallimer et
al., 2012; Fuller et al., 2007; Southon et al., 2018). In a novel approach,
we used manipulative experiments and a design analogous to that of
diversity–ecosystem function experiments (e.g. Hector et al., 1999) to
investigate whether plant species richness, as one component of
biodiversity, influences the stress recovery of humans. Stress recovery was
calculated as the difference between peak systolic blood pressure after
stress and the level recorded at the end of a post-stress resting period.</p>
      <p id="d1e126">While influences of plant diversity on human health have hardly been
investigated, influences of plants as such or, more generally, natural
sceneries, are rather well studied. Natural views compared with views that
lack natural elements have been found to elicit positive feelings and to
foster restoration from anxiety or stress and even recovery from surgery
(e.g. Hartig et al., 2003; Ulrich, 1984; Ulrich et al., 1991). Stress
reduction theory (SRT) posits a healing power of nature that lies in an
unconscious, autonomic response to natural elements that can occur without
recognition and most noticeably in individuals who have been stressed before
the experience (Bratman et al., 2012; Ulrich, 1993). An evolutionary
perspective predicts that because humans evolved over a long period of time
in natural environments, people are to some extent physiologically and
perhaps psychologically adapted to natural, as opposed to urban, physical
settings (Kellert, 1993). Particular qualities of a scene such as moderate
depth and complexity, the presence of a focal point, gross structural
qualities, and natural contents such as vegetation and water can evoke
positive emotions, sustain non-vigilant attention, restrict negative
thoughts, and so aid a return of autonomic arousal to more moderate levels
(Hartig et al., 2003; Kaplan and Kaplan, 1989; Kaplan et al.,
1998).</p>
      <?pagebreak page122?><p id="d1e129">In a frequently cited study by Ulrich (1984), patients after a cholecystectomy
recovered faster from surgery and had less postoperative complications when
their hospital windows were looking out on a natural scene instead of facing
a brick building wall. In a comparable study, the presence of indoor plants
also shortened postoperative recovery periods (Park and Mattson, 2009).
Patients assigned to rooms with plants or flowers had shorter
hospitalizations, fewer intakes of analgesics, lower ratings of pain,
anxiety, and fatigue, and more positive feelings and higher
satisfaction about their rooms when compared with patients of a control
group (identical rooms, no plants at all). Moreover, patients exposed to
indoor plants reported lower levels of experienced stress compared to
control conditions (Beukeboom et al., 2012; Dijkstra et al., 2008).
Similarly, classroom views to green landscapes significantly increased the
recovery of high-school students from stressful experiences and caused
better performance on tests of attention than views to a built space (Li and
Sullivan, 2016). Likewise, stressed respondents recovered much faster
(decline in blood pressure) when they were sitting in a room with a tree
view instead of a viewless room (Hartig et al., 2003).</p>
      <p id="d1e132">Several studies have investigated the influence of indoor plants on emotions
and stress recovery. Office workers had more positive emotions in the
presence of plants (Ikei et al., 2014; Larsen et al., 1998) and were calmer
and less anxious when indoor plants were present or when their office
windows were facing natural sceneries instead of artefact-dominated ones
(Bringslimark et al., 2007; Chang and Chen, 2005). Sick leave, but also
punishment records due to misbehaviour, were also reduced among high-school
students after plants had been placed in their classroom (Han, 2009). The
presence of plants can also lead to faster reaction times and better
performance in association tasks and cognitive tests (e.g. Han, 2009; Lohr
et al., 1996; Shibata and Suzuki, 2002). A recent study investigated the
restorative impacts of green walls with living plants in primary schools in
the Netherlands (van den Berg et al., 2017). Children in classrooms in which a
green wall was placed, compared to children in control groups, evaluated
their classrooms more positively and also scored better on a test for
selective attention.</p>
      <p id="d1e136">In a large Danish survey, associations between health and distance from
one's private home to the nearest green space were found (Stigsdotter et
al., 2010). Study participants living more than 1 km away from a green space
had higher odds of experiencing stress than those living less than 300 m
away. Moreover, the more often respondents visited green spaces, the
less they experienced stress (see also Maas et al., 2006). However, little
research has been carried out on the effects of the quality of green space, e.g.
the contribution of structural diversity, evenness, species richness, or the
presence of certain plant and animal species, on human health.</p>
      <p id="d1e139">Recent studies indicate that psychological benefits of green space increase
with levels of species richness (Dallimer et al., 2012; Fuller et al., 2007).
In these studies, participants had to state in situ their opinion on
different statements, measuring likelihood of recovery from mental fatigue
and opportunity for reflection, as well as emotional attachment to and
personal identity gained from the green space. Well-being was positively
related to perceived species richness of birds, butterflies, and plants
(Dallimer et al., 2012). However, when actual species richness was tested,
well-being declined with greater plant diversity, and there was no pattern
with butterfly species richness. The authors concluded that there may be
other aspects of biodiversity, such as the role of charismatic species,
which may influence well-being more strongly (Dallimer et al., 2012). In
diversity manipulation experiments, the presence of certain plant species
indeed explained some of the variation in aesthetic appreciation of the
grassland communities that could not be explained by their species richness
(Lindemann-Matthies et al., 2010a). The presence of certain herbs with
brightly coloured flowers like <italic>Papaver rhoeas</italic> increased the appreciation of communities,
whereas the presence of grasses like <italic>Lolium perenne</italic> decreased it. However, in the
analyses, species richness always explained more of the overall variation
than species identity.</p>
      <p id="d1e148">To investigate whether plant species richness influences stress recovery of
humans, we presented meadow-like arrays of different species richness and
species composition to visitors of a popular park close to the University of Zurich – Irchel
Campus. The location was chosen because a nearby common garden
provided water, space, and shelter for the plants during our study period. We
measured stress recovery and also recorded participants' self-estimated
degree of attachment to nature, as well as gender and age, as these
variables have been found to be influential on stress recovery (e.g.
Cervinka et al., 2012; Stigsdotter et al., 2010) and visual responses to
green space (e.g. Lindemann-Matthies and Bose, 2007). Based on the
literature, we made the following predictions.
<list list-type="custom"><list-item><label>P1.</label>
      <p id="d1e153">Stress recovery, measured as the difference between systolic blood
pressure directly before and after the post-stress relaxation time, will be
larger when respondents can view a meadow-like array of plants rather than
ground without vegetation, as natural elements have a larger stress-reducing
effect than artificial objects (Beukeboom et al., 2012; Chang and Chen,
2005; Lohr et al., 1996).</p></list-item><list-item><label>P2.</label>
      <p id="d1e157">With increasing plant species richness, relaxation will increase, but
at the highest levels may decrease again (Lindemann-Matthies et al., 2010a;
Shanahan et al., 2015).</p></list-item><list-item><label>P3.</label>
      <p id="d1e161">Apart from species richness, the proportion of herbs present will
explain some of the variation in stress relaxation. Studies indicate that
herbs are visually preferred over grasses (Lindemann-Matthies and Bose,
2007; Lindemann-Matthies et al., 2010b).</p></list-item><list-item><label>P4.</label>
      <?pagebreak page123?><p id="d1e165">Socio-demographic variables such as age and gender, but also a person's
attachment to nature, might influence blood pressure and perception of
meadow-like arrays, and thus influence stress recovery (Cervinka et al.,
2012; Clark et al., 2014; Collins and O'Callaghan, 2008; Rappe et al., 2006;
Shibata and Suzuki, 2004).</p></list-item></list></p>
</sec>
<sec id="Ch1.S2">
  <title>Materials and methods</title>
<sec id="Ch1.S2.SS1">
  <title>Study design and data collection</title>
      <p id="d1e179">To test our predictions, we cultivated more than 700 plants belonging to 71
grassland species (55 herbs, 16 grasses) individually in square pots (9 cm <inline-formula><mml:math id="M2" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 9 cm)
in a greenhouse. Plants differed in their flower colour, height, and
form of leaves. Plants were arranged in meadow-like arrays of different
plant species richness (1, 16, 32, and 64 species) and presented to the
public. Levels of species richness were chosen to represent a wide range in
the number of species. Each array consisted of 64 (<inline-formula><mml:math id="M3" display="inline"><mml:mrow><mml:mn mathvariant="normal">8</mml:mn><mml:mo>×</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula>) pots. The pots
were arranged at random in a wooden box (70 cm <inline-formula><mml:math id="M4" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 70 cm <inline-formula><mml:math id="M5" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10 cm) that gave
the impression of a meadow. Within an array the number of individuals of
each species was similar and the spatial distribution of the species was
random. To differentiate between the effects of species richness and species
composition (e.g. proportion of herbs to grasses), two different
arrangements of plants for the diversity levels 16, 32, and 64 were always made (as
shown in Table 1).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1"><caption><p id="d1e218">Description of the 10 different meadow-like
arrays and the bare ground treatment.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.85}[.85]?><oasis:tgroup cols="4">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Treatment</oasis:entry>
         <oasis:entry colname="col2">Number of</oasis:entry>
         <oasis:entry colname="col3">Species</oasis:entry>
         <oasis:entry colname="col4">Proportion</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">no.</oasis:entry>
         <oasis:entry colname="col2">species</oasis:entry>
         <oasis:entry colname="col3">combination</oasis:entry>
         <oasis:entry colname="col4">of herbs (%)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">1</oasis:entry>
         <oasis:entry colname="col2">1</oasis:entry>
         <oasis:entry colname="col3"><italic>Papaver rhoeas</italic> monoculture</oasis:entry>
         <oasis:entry colname="col4">100.0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">2</oasis:entry>
         <oasis:entry colname="col2">1</oasis:entry>
         <oasis:entry colname="col3"><italic>Centaurea cyanus</italic> monoculture</oasis:entry>
         <oasis:entry colname="col4">100.0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">3</oasis:entry>
         <oasis:entry colname="col2">1</oasis:entry>
         <oasis:entry colname="col3"><italic>Briza media</italic> monoculture</oasis:entry>
         <oasis:entry colname="col4">0.0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">4</oasis:entry>
         <oasis:entry colname="col2">1</oasis:entry>
         <oasis:entry colname="col3"><italic>Lolium perenne</italic> monoculture</oasis:entry>
         <oasis:entry colname="col4">0.0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">5</oasis:entry>
         <oasis:entry colname="col2">16</oasis:entry>
         <oasis:entry colname="col3">1 herb and 15 grasses</oasis:entry>
         <oasis:entry colname="col4">6.3</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">6</oasis:entry>
         <oasis:entry colname="col2">16</oasis:entry>
         <oasis:entry colname="col3">8 herbs and 8 grasses</oasis:entry>
         <oasis:entry colname="col4">50.0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">7</oasis:entry>
         <oasis:entry colname="col2">32</oasis:entry>
         <oasis:entry colname="col3">20 herbs and 12 grasses</oasis:entry>
         <oasis:entry colname="col4">62.5</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">8</oasis:entry>
         <oasis:entry colname="col2">32</oasis:entry>
         <oasis:entry colname="col3">23 herbs and 9 grasses</oasis:entry>
         <oasis:entry colname="col4">71.9</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">9</oasis:entry>
         <oasis:entry colname="col2">64</oasis:entry>
         <oasis:entry colname="col3">47 herbs and 17 grasses</oasis:entry>
         <oasis:entry colname="col4">73.4</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">10</oasis:entry>
         <oasis:entry colname="col2">64</oasis:entry>
         <oasis:entry colname="col3">49 herbs and 15 grasses</oasis:entry>
         <oasis:entry colname="col4">76.6</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">11</oasis:entry>
         <oasis:entry colname="col2">0</oasis:entry>
         <oasis:entry colname="col3">Sandy path without vegetation</oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

      <p id="d1e445">For the monoculture arrays, plant species were chosen that had influenced
perceived attractiveness in previous experiments (Lindemann-Matthies et al.,
2010a) and that also differed in flower colour and functional group. Poppy
(<italic>Papaver rhoeas</italic>) and cornflower (<italic>Centaurea cyanus</italic>) were chosen as representatives for species with a
positive influence, and perennial rye grass (<italic>Lolium perenne</italic>) was chosen as a species with a presumably negative
influence. In both herb monocultures, all plants were flowering. To have an
additional grass species, quaking grass (<italic>Briza media</italic>) was included, which, in the
previous experiments, had a neutral effect on perceived attractiveness
(Lindemann-Matthies et al., 2010a). In the other diversity levels (16, 32,
and 64 species), the four species that were presented as monocultures were
also partly included. Species included in these arrays were selected to
represent various mixtures of grasses and flowering forbs. Species in the
arrays were arranged at random.</p>
      <p id="d1e460">In summer 2010, data were collected on warm and sunny afternoons, always at
the same place, a crossing of two paths in a public park in
Zürich-Irchel, Switzerland. Before the start of experiments, background
noises were observed on several days. Occasional background noise was mainly
produced by airplanes and park visitors, including dogs, but was rather
infrequent and thus not considered a disturbance to the experiment.
Otherwise, birds were always singing and a stream was flowing by, resulting
in an unobtrusive, normal soundscape for a park.</p>
      <p id="d1e464">On each day of the study, one individual meadow-like array was placed on the
path, always in the same spot, and covered on four sides by a tent-like
structure. A chair was put in front of the tent, facing it. Park visitors
(all adults) were approached and asked to participate in the experiment.
They were informed that they would participate in a study on the effects of
plants on human health and anonymity was assured to them. Overall, 80 % of
all persons addressed participated (<inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">171</mml:mn></mml:mrow></mml:math></inline-formula>; between 10 and 24 persons on
each day of study).</p>
      <p id="d1e479">Participants were asked to sit on the chair, facing the tent. They were then
stressed with a colour–word test (Stroop test) widely used in clinical
practice and investigation (e.g. Tulen et al., 1989). In this test, the
names of different colours (e.g. yellow, blue, red, or green) are printed in
colour ink on paper. However, the written colour names differ from the
colour ink they are printed in (e.g. the word “yellow” can be printed in
red). Test persons have to name, as fast as possible, not the written words,
but the ink colour the words are written in (or vice versa). To boost
stress, we promised participants a reward (chocolate) if they could complete
the test in less than 2 min. Directly after the test, systolic and
diastolic blood pressure were measured with a wrist monitor (OMRON R6 wrist
blood pressure monitor, Omron Healthcare Europe, B.V., Hoofddorp, the
Netherlands) that has been used in clinical studies (e.g. Stanković and
Nikolić, 2016). The front cover of the tent was then opened. Respondents
were asked to look at the meadow-like array or, on one day of the study,
just the ground of the sandy path. After 2 min their blood pressure was
measured again.</p>
      <p id="d1e482">To test for the influence of socio-demographic variables and a person's
affinity to green space, participants were finally asked about their age,
gender, and self-estimated degree of attachment to nature (indicated on a 10 cm
scale, anchored at the ends with “very low” and “very high”).
Moreover, they were asked about their impressions during the experiment. To
thank them for their participation, participants received some sweets and a
package of wild flower seeds. Directly afterwards the front part of the tent
was closed again and, after some minutes, the next person approached. The
time<?pagebreak page124?> lag should ensure that participants had not already seen the
meadow-like array when the tent was open. The experiment was pilot-tested on
half a day with 10 visitors to the park and showed that the method was
suitable to investigate people's responses to plant species richness. It
took about 20 min to accomplish all tasks (addressing a visitor,
carrying out the experiment, answering questions, and making notes on
comments).</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Study participants and data analysis</title>
      <p id="d1e491">Study participants, 107 women and 64 men, were between 18 and 87 years old
(mean age <inline-formula><mml:math id="M7" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 46 years). They regarded themselves as rather attached to
nature
(mean score of <inline-formula><mml:math id="M8" display="inline"><mml:mrow><mml:mn mathvariant="normal">8.4</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.12</mml:mn></mml:mrow></mml:math></inline-formula> on the 10 cm scale). Stress recovery was
measured as the difference between systolic blood pressure directly before
and after the post-stress relaxation period. Diastolic and systolic blood
pressure measurements were correlated (stressed, <inline-formula><mml:math id="M9" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.72</mml:mn></mml:mrow></mml:math></inline-formula>; relaxed, <inline-formula><mml:math id="M10" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.77</mml:mn></mml:mrow></mml:math></inline-formula>), and we thus concentrated on the higher (systolic) value. As the
degree of relaxation was strongly influenced by entry blood pressure (<inline-formula><mml:math id="M11" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.38</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M12" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.001</mml:mn></mml:mrow></mml:math></inline-formula>), we included the latter as a covariate in our
models. According to our prediction of a decrease in relaxation at higher
species levels, we tested both a monotonously increasing relationship
between plant species richness and stress recovery and the hypothesis of
optimal intermediate species richness. Data were analysed by nested analysis
of variance with systolic blood pressure immediately after the stress
treatment as a covariate. Because the different meadow-like arrays of plants
are the replicates for the effect of species richness, we tested the effect
of species richness against the variation among the different combinations
of plants (arrays). We also tested the effect of the proportion of herbs in
an array using a data set without the bare ground treatment against the
variation among the arrays. In contrast, because these variables varied among
the participants, we tested the effects of gender of the participants, their
age, and their degree of self-reported attachment to nature against the
residual variation among participants, according to the rules for the
analysis of nested designs (Zar, 2010).</p>
      <p id="d1e562">Because we were interested in the decrease in blood pressure (relaxation)
due to the treatments, we used the difference between systolic blood
pressure directly before and after the post-stress relaxation period as a
dependent variable with blood pressure before relaxation as a co-variable.
However, using final blood pressure as the dependent variable with entry
blood pressure as a co-variable resulted in exactly the same <inline-formula><mml:math id="M13" display="inline"><mml:mi>F</mml:mi></mml:math></inline-formula> values and
<inline-formula><mml:math id="M14" display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> values for the effects of species richness and the demographic variables.
All analyses were carried out with IBM SPSS Statistics 24 for Windows.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results</title>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><caption><p id="d1e589">Nested analysis of variance of the effects of species richness per
array, age, nature attachment, and gender on the mean decrease in systolic
blood pressure of participants during the relaxation phase after a stress
treatment.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="6">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Source</oasis:entry>
         <oasis:entry colname="col2">SS</oasis:entry>
         <oasis:entry colname="col3">d<inline-formula><mml:math id="M15" display="inline"><mml:mi>f</mml:mi></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">MS</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M16" display="inline"><mml:mi>F</mml:mi></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6">Sig.</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Systolic blood pressure (stressed)</oasis:entry>
         <oasis:entry colname="col2">1526.23</oasis:entry>
         <oasis:entry colname="col3">1</oasis:entry>
         <oasis:entry colname="col4">1526.23</oasis:entry>
         <oasis:entry colname="col5">69.31</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M17" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.001</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Species richness (linear term)</oasis:entry>
         <oasis:entry colname="col2">183.69</oasis:entry>
         <oasis:entry colname="col3">1</oasis:entry>
         <oasis:entry colname="col4">183.69</oasis:entry>
         <oasis:entry colname="col5">5.38</oasis:entry>
         <oasis:entry colname="col6">0.049</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Species richness (quadratic term)</oasis:entry>
         <oasis:entry colname="col2">385.94</oasis:entry>
         <oasis:entry colname="col3">1</oasis:entry>
         <oasis:entry colname="col4">385.94</oasis:entry>
         <oasis:entry colname="col5">11.30</oasis:entry>
         <oasis:entry colname="col6">0.010</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Species combination (rest)</oasis:entry>
         <oasis:entry colname="col2">273.24</oasis:entry>
         <oasis:entry colname="col3">8</oasis:entry>
         <oasis:entry colname="col4">34.16</oasis:entry>
         <oasis:entry colname="col5">0.66</oasis:entry>
         <oasis:entry colname="col6">0.725</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Age</oasis:entry>
         <oasis:entry colname="col2">25.72</oasis:entry>
         <oasis:entry colname="col3">1</oasis:entry>
         <oasis:entry colname="col4">25.72</oasis:entry>
         <oasis:entry colname="col5">0.50</oasis:entry>
         <oasis:entry colname="col6">0.481</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Nature attachment</oasis:entry>
         <oasis:entry colname="col2">8.90</oasis:entry>
         <oasis:entry colname="col3">1</oasis:entry>
         <oasis:entry colname="col4">8.90</oasis:entry>
         <oasis:entry colname="col5">0.17</oasis:entry>
         <oasis:entry colname="col6">0.679</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Gender</oasis:entry>
         <oasis:entry colname="col2">73.81</oasis:entry>
         <oasis:entry colname="col3">1</oasis:entry>
         <oasis:entry colname="col4">73.81</oasis:entry>
         <oasis:entry colname="col5">1.43</oasis:entry>
         <oasis:entry colname="col6">0.234</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Error</oasis:entry>
         <oasis:entry colname="col2">8058.90</oasis:entry>
         <oasis:entry colname="col3">156</oasis:entry>
         <oasis:entry colname="col4">51.66</oasis:entry>
         <oasis:entry colname="col5"/>
         <oasis:entry colname="col6"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Total</oasis:entry>
         <oasis:entry colname="col2">10 536.42</oasis:entry>
         <oasis:entry colname="col3">170</oasis:entry>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5"/>
         <oasis:entry colname="col6"/>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e851">As predicted (P1), the decrease in systolic blood pressure was stronger when
respondents could view a meadow-like array of plants instead of
ground without vegetation (Fig. 1). In the model, relaxation was influenced by
systolic blood pressure before the post-stress relaxation period (Table 2).
With increasing plant species richness, relaxation increased (P2). However,
relaxation was highest at intermediate levels of species richness (32
species; see Fig. 1, Table 2). The effect of the combination of plants was
not significant after accounting for differences in species richness (see
term combination in Table 2); i.e. there was no effect of the different
arrangements on relaxation of blood pressure that was not explained by
species richness.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><caption><p id="d1e856">The effect of species richness of meadow-like arrangements of plants
on the mean decrease in systolic blood pressure of participants during the
relaxation phase after a stress treatment. During their relaxation,
participants looked at arrangements of different combinations of plant
species and different species richness. Each data point depicts the mean
response of participants to a certain arrangement of plants. Effects are
adjusted for systolic blood pressure immediately after the stress treatment.
The curve shows a quadratic function fitted to the mean responses. The
numbers refer to the treatment numbers in Table 1.</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://we.copernicus.org/articles/18/121/2018/we-18-121-2018-f01.png"/>

      </fig>

      <p id="d1e866">The proportion of herbs had little effect on stress relaxation in addition
to the effects of species richness (<inline-formula><mml:math id="M18" display="inline"><mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>,</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">2.87</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M19" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.141</mml:mn></mml:mrow></mml:math></inline-formula>; P3).
However, mean difference in systolic blood pressure was highest when the
<italic>Papaver rhoeas</italic> monoculture was presented (see Fig. 1). Contrary to our prediction (P4),
age, gender, and a person's self-reported attachment to nature had no
influence on relaxation (all <inline-formula><mml:math id="M20" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0.234</mml:mn></mml:mrow></mml:math></inline-formula>; see Table 2).</p>
</sec>
<sec id="Ch1.S4">
  <title>Discussion</title>
      <p id="d1e922">In line with our first prediction (P1) and results from previous studies
(e.g. Chang and Chen, 2005; Hartig et al., 2003; Ulrich, 1984; Ulrich et al.,
1991), stress recovery was larger when respondents looked at a scene with
vegetation (meadow-like array) than at one without (ground<?pagebreak page125?> without
vegetation). Moreover, stress recovery was positively related to plant
species richness, as predicted. In a British study, people's perceived
likelihood of recovery from mental fatigue also increased with perceived
plant species richness; however, with actual species richness, no such clear
pattern was found (Dallimer et al., 2012). Well-being even declined with
greater plant diversity, which is in line with our result for the 64-species
array (see P2). The very low effect on relaxation from the 64-species
mixtures is in stark contrast to the high appreciation of this diversity
level when visual attractiveness was studied (Lindemann-Matthies et al.,
2010a). In a large study, meadow-like arrays of different species richness
and evenness, but random species composition, were presented to lay people.
In addition, two larger-scale field studies using natural meadows were
conducted. In both the experiments and the field studies, lay people's
aesthetic appreciation always increased with true species richness and did
not follow a quadratic trend (Lindemann-Matthies et al., 2010a). In contrast,
in the present study relaxation was strongest at an intermediate diversity
(32 species) and was much lower at the highest diversity (64 species). The
forced view onto the highly diverse array of plants may actually have
hindered relaxation. Some of our participants actually described the
64-species mixtures as chaotic, wild, and hardly comforting. The question has
been raised whether an increase in the number of plant species results in a
consistent increase in people's well-being or if there is a density beyond
which there is no increase, or even a decrease, in well-being and relaxation
(Shanahan et al., 2015). The dose–response curve could be linear, S-shaped,
inverted U-shaped, or have some other shape (as discussed in Jiang et al.,
2015; Shanahan et al., 2015; see also Pett et al., 2016). Our result is in
line with the notion that the relationship between the dose of nature and the
benefit to human health does not monotonously increase in all cases (Barton
and Pretty, 2010; Shanahan et al., 2015).</p>
      <p id="d1e925">In contrast to our prediction (P3), relaxation did not clearly increase with
an increasing herb-to-grass ratio (but see Lindemann-Matthies and Bose,
2007). However, the strongest positive effect on relaxation was found for
the poppy (<italic>Papaver rhoeas</italic>) monoculture. Recent experiments indicate that aesthetic
preferences and emotional responses to objects of a certain colour are
closely linked (Palmer and Schloss, 2010). This might explain why the poppy
monoculture had such a strong effect on relaxation as poppies are clearly
attractive to people (Lindemann-Matthies and Bose, 2007; Lindemann-Matthies
et al., 2010a). Warm orange and red colours in general were found to be
attractive for humans, not only in plants but also in penguins (Stokes,
2007). From previous publications on colour preferences, a different result
could also have been expected as longer wavelength colours (red, orange)
were regarded as emotionally arousing and shorter wavelength colours (green,
blue) were regarded as calming (see discussion in Elliot et al., 2007). However, the few
studies on colour effects have been criticized for their lack of conceptual
depth (Lichtenfeld et al., 2012).</p>
      <p id="d1e931">We did not find influences of age, gender, and a person's attachment to
nature on stress relaxation (see P4). Studies have shown that the elderly
benefit more than the young from nature activities such as gardening or
walking and also derive more aesthetic pleasure from plants and green
environments (Collins and O'Callaghan, 2008; Rappe et al., 2006). Most
likely, we already had a rather relaxed, nature-attached (scores larger than
8 on the 10-point scale) sample of park walkers.</p>
      <p id="d1e934">Our study has certain limitations. The size of our meadow-like arrays was
rather small and larger arrangements of plants or natural vegetation might
have different effects. We only used 10 different species combinations and
thus few replicates for the different levels of species richness. We could
not keep the evenness of the species combinations constant, although
evenness has been found to affect the appreciation of experimental meadows
(Lindemann-Matthies et al., 2010a). Moreover, the overall differences between
the stressed and relaxed states were rather small. The number of participants
in the study was not large and restricted to visitors of one public park in
a large city. Stressful tasks other than the Stroop colour test might have
stressed participants more strongly, resulting in more pronounced effects of
the different<?pagebreak page126?> diversity levels. However, we did not want to expose
participants to more demanding cognitive tests as they took part in the experiment during
their leisure time.</p>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <title>Conclusions</title>
      <p id="d1e944">In view of an increasing worldwide urbanization, there are many ways how
nature can be brought into urban design (examples for “biophilic cities” in
Beatley, 2011). However, just adding green space to cities is not enough. In
recent years, green areas are increasingly designed in ways to promote
species richness of wild plants and animals (Beatley, 2011;
Lindemann-Matthies and Bose, 2007), and it has been pointed out that
management measures should consider both ecological quality and human
well-being (Jorgensen and Gobster, 2010). In times of increasing stress and
cardiovascular diseases it becomes more and more important to offer high-quality green space for relaxation. Our results exemplify that species
richness and the presence of certain attractive herbs positively contribute
to the well-being of humans by fostering recovery from stress.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability">

      <p id="d1e951">Data are available as a Supplement.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e954">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/we-18-121-2018-supplement" xlink:title="zip">https://doi.org/10.5194/we-18-121-2018-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution">

      <p id="d1e963">PLM and DM conceived the ideas and designed the experiment, PLM carried out the study,  and PLM and DM analysed the data and wrote the manuscript.</p>
  </notes><notes notes-type="competinginterests">

      <p id="d1e969">The authors declare that they have no conflict of
interest.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e975">We would like to thank all participants for their
time, Theres Zwimpfer for technical support, and Annika Frischauf for help
with the data collection.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>Edited by: Jutta Stadler
<?xmltex \hack{\newline}?>
Reviewed by: Roland Brandl and one anonymous referee</p></ack><ref-list>
    <title>References</title>

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<abstract-html><p>Natural sceneries or single plants may have positive influences on human
health. Here we show that plant species richness can positively influence
recovery from stress. Meadow-like arrays of different species richness (1,
16, 32, 64 species) were presented to visitors (<i>n</i> = 171) of a popular park
in Zurich, Switzerland (one array per participant). Participants' systolic
blood pressure was measured twice: directly after they had been stressed and
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or at bare ground, shielded on three sides by a tent-like structure. The
decrease in blood pressure was larger when respondents could view an
arrangement of plants instead of ground without vegetation. Relaxation was
strongest at intermediate species richness (32 species). Age,
gender, and a person's attachment to nature did not influence relaxation. Our results
indicate that species-rich vegetation may contribute to recovery from stress
which should be considered in landscape management and planning.</p></abstract-html>
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