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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-16-51-2016</article-id><title-group><article-title>Impacts of land-use intensification on litter decomposition in western Kenya</article-title>
      </title-group><?xmltex \runningtitle{Litter decomposition in western Kenya}?><?xmltex \runningauthor{G.~H.~Kagezi et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Kagezi</surname><given-names>G. H.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff7">
          <name><surname>Kaib</surname><given-names>M.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Nyeko</surname><given-names>P.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Bakuneeta</surname><given-names>C.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Schädler</surname><given-names>M.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Stadler</surname><given-names>J.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff6">
          <name><surname>Brandl</surname><given-names>R.</given-names></name>
          <email>brandlr@staff.uni-marburg.de</email>
        </contrib>
        <aff id="aff1"><label>1</label><institution>Department of Ecology/Animal, Faculty of Biology,
Philipps-Universität Marburg, C/o National Banana Research Programme,
National Agricultural Research Laboratories (NARL) Institute, <?xmltex \hack{\break}?>Kawanda, P.O. Box 7065 Kampala, Uganda</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Department of Animal Physiology, University of Bayreuth,
95440 Bayreuth, Germany</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Department of Forest Biology and Ecosystems Management,
Faculty of Forestry and Nature Conservation, Makerere University, P.O. Box
7062 Kampala, Uganda</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Department of Zoology, Faculty of Science, Makerere
University, P.O. Box 7062 Kampala, Uganda</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Department of Community Ecology, Helmoltz Centre for
Environmental Research – UFZ, <?xmltex \hack{\break}?>Permoserstr. 15, 04318 Leipzig,
Germany</institution>
        </aff>
        <aff id="aff6"><label>6</label><institution>Department of Ecology/Animal Ecology, Faculty of Biology,
Philipps-Universität Marburg, <?xmltex \hack{\break}?>Karl-von-Frisch Strasse 8, 35032 Marburg,
Germany</institution>
        </aff>
        <aff id="aff7"><label>*</label><institution>retired; private address: Oberobsang 14, 95445 Bayreuth, Germany</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">R. Brandl (brandlr@staff.uni-marburg.de)</corresp></author-notes><pub-date><day>11</day><month>February</month><year>2016</year></pub-date>
      
      <volume>16</volume>
      <issue>1</issue>
      <fpage>51</fpage><lpage>58</lpage>
      <history>
        <date date-type="received"><day>24</day><month>September</month><year>2015</year></date>
           <date date-type="rev-recd"><day>2</day><month>February</month><year>2016</year></date>
           <date date-type="accepted"><day>2</day><month>February</month><year>2016</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://we.copernicus.org/articles/16/51/2016/we-16-51-2016.html">This article is available from https://we.copernicus.org/articles/16/51/2016/we-16-51-2016.html</self-uri>
<self-uri xlink:href="https://we.copernicus.org/articles/16/51/2016/we-16-51-2016.pdf">The full text article is available as a PDF file from https://we.copernicus.org/articles/16/51/2016/we-16-51-2016.pdf</self-uri>


      <abstract>
    <p>Tropical forests are faced with a substantial loss of forest cover due to
human activities. The various forms of land use influence habitat
structure, microclimate, and co-occurring species, with possible
effects on ecosystem processes. The forests of western Kenya are the most
eastern parts of the Congolian rainforests. Due to the high human
population density only few remnants of these rainforests remained. Even
protected areas are influenced by human disturbances, with unknown effects
on ecosystem processes. Therefore, we quantified the mass loss of
leaf litter with and without access of soil invertebrates within forest
fragments and sites affected by increasing levels of agricultural land-use
intensity in the Kakamega area (western Kenya; 1500 m a.s.l.). Mass loss of
litter as an estimate of decomposition rate increased with rainfall during
the annual cycle. Furthermore, mass loss increased with the area of forest
fragments and decreased with land-use intensification. We found that soil
invertebrates had only small effects on mass loss (&lt; 10 %), and
this effect decreased with land-use intensification. Our data showed that
forest fragmentation has negative effects on litter decomposition. However,
the magnitude of this negative effect was not as large as expected.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>Decomposition of plant litter is an important driver for the cycling of
carbon as well as nutrients and therefore plays a significant role in the
structure and function of ecosystems (Swift et al., 1979). Decomposition is
mainly regulated by climate, litter quality, and the decomposer community
(Swift et al., 1979; Knoepp et al., 2000). In the tropics litter
decomposition is particularly important for ecosystem productivity because
soils are highly weathered and therefore sometimes nutrient-poor (Martius et
al., 2004).</p>
      <p>Forest disturbance and land-use intensification continue at an unprecedented
rate in tropical ecosystems worldwide, causing loss of biodiversity and
associated ecosystem processes (Pimm and Raven, 2000). Although recently the
tropical biodiversity crisis has been questioned (Wright and Muller-Landau, 2006;
but see also Bihn et al., 2008), the dwindling of tropical forests may
threaten ecosystem functions and services (e.g. Matson et al., 1997). In
tropical ecosystems, decomposition rates have been reported to be higher in
primary forests compared to disturbed forest types or areas dominated by
agriculture (e.g. Höfer et al., 2001; Attignon et al., 2004; Martius et
al., 2004). The canopy of forests protects the soil biota from variations in
temperature and drought stress (Dibog et al., 1999). Thus, clearing of
forests increases variations in soil temperature and decreases soil
moisture. These abiotic changes affect the abundance, composition, and
activity of decomposers (Lavelle and Pashanasi, 1989; Martius et al., 2004),
with consequences for ecosystem processes mediated by these organisms
(Höfer et al., 2001; Kagezi et al., 2011). The contribution of the
invertebrate fauna to decomposition is higher in the tropics compared to
many other biomes of the world (Wall et al., 2008; Yang and Chen, 2009).
Therefore, changes in the contribution of invertebrates to decomposition
rates should be a sensitive indicator of the influence of forest disturbance
on ecosystem processes.</p>
      <p>Kakamega Forest in western Kenya is an example of a tropical rainforest that
was and is heavily affected by anthropogenic disturbances that resulted in
considerable fragmentation of the original forest area (Lung and Schaab,
2006; Schleuning et al., 2011). In this area we examined the temporal and
spatial variation of decomposition of standard leaf litter across forest
fragments as well as land-use systems differing in land-use intensity (for
other ecosystem functions see Schleuning et al., 2011). Specifically, we aim
to answer the following questions:
<list list-type="order"><list-item>
      <p>Does forest fragmentation affect rates of leaf litter decomposition? In
particular we explored whether decomposition increased with the area of
forest fragments.</p></list-item><list-item>
      <p>Does land-use intensification decrease rates of leaf litter decomposition?</p></list-item><list-item>
      <p>Does the contribution of soil invertebrates change depending on
fragmentation and land use?</p></list-item></list></p>
</sec>
<sec id="Ch1.S2">
  <title>Material and methods</title>
<sec id="Ch1.S2.SS1">
  <title>Study area</title>
      <p>The experiments were conducted in the Kakamega area (western Kenya) between
September 2007 and April 2009 (for a map of the study area see Schleuning et
al., 2011). Kakamega Forest is located northeast of Lake Victoria
(0<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>–0<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>21<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N;
34<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>47<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>–34<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>58<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E;
1500–1700 m a.s.l.). The area receives 1500–2300 mm of rain annually with
two rainy seasons: one in April and one in September (Mitchell, 2004; see
also Fig. 1). The soils are mostly infertile acrisoles, which are
well-drained, deep, and heavily leached (pH &lt; 5.5). For comparative
purposes, we also conducted a decomposition experiment in the Budongo Forest
(Uganda) in June–July 2009. The Budongo Forest is located at the top of the
Albertine Rift (1<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>37<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>–2<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>3<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N; 31<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>22<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>–31<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>46<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E; average elevation: 1100 m). Annual rainfall varies
between about 1200 and 2200 mm with a seasonal pattern similar to Kakamega
Forest.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><caption><p>Mass loss (in % after 5 weeks) of litter in bags,
with small mesh size (without access of invertebrates) and large mesh size
(with access of invertebrates). We present means across all bags with
standard errors calculated for arcsine-transformed values. The square
indicates the decomposition rate measured in the Budongo Forest, Uganda. We
also present the difference of the mass loss with and without invertebrates
as well as the monthly rainfall data for two stations in 2007, 2008, and 2009
(blue: Kakamega Forest Station; black: Kakamega Meteorological Station).</p></caption>
          <?xmltex \igopts{width=213.395669pt}?><graphic xlink:href="https://we.copernicus.org/articles/16/51/2016/we-16-51-2016-f01.png"/>

        </fig>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p>Land-use systems in and around Kakamega Forest, western
Kenya, as described by Lung and Schaab (2006).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="2">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="199.169291pt"/>
     <oasis:tbody>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Land-use system</oasis:entry>  
         <oasis:entry colname="col2">Description</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Near-primary forest</oasis:entry>  
         <oasis:entry colname="col2">Forest of lowest disturbance level, dense canopy with trees older than 50 years.</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Disturbed primary forest</oasis:entry>  
         <oasis:entry colname="col2">Primary forest with some degree of disturbance due to human activities such as logging and grazing, lighter canopy compared to primary forest.</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Secondary forest</oasis:entry>  
         <oasis:entry colname="col2">Mid-aged secondary forest of 20–30 years as well as aged <italic>Maesopsis eminii</italic> plantations as well as with indigenous species.</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Farmlands</oasis:entry>  
         <oasis:entry colname="col2">Cultivated land of diverse characteristics, highly devised land with trees, bushes along plot boundaries, mainly subsistence agriculture, high percentage of bare ground.</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Grasslands</oasis:entry>  
         <oasis:entry colname="col2">Grasslands with scattered trees or even arrangements of successional stages, partially of natural origin, partially due to clearings, partly used as meadows, grass used for roof hatching.</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S2.SS2">
  <title>Litter bag experiments</title>
      <p>We conducted various litter bag experiments to study variation of mass loss
of leaf litter. These experiments and their intentions are summarized in the
Supplement (Table S1). Furthermore, sample sizes differed
between experiments (Table S1). We attempted here a
synoptic analysis of all results, although it was not possible to feed all
data into a single analysis. Nevertheless, all experiments follow the same
general protocol. To estimate decomposition rate, we measured mass loss of
leaf litter from two plant species (except experiment 8; Table S1) common in
the Kakamega area: <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>C</mml:mi><mml:mi>r</mml:mi><mml:mi>o</mml:mi><mml:mi>t</mml:mi><mml:mi>o</mml:mi><mml:mi>n</mml:mi></mml:mrow></mml:math></inline-formula> (<italic>Croton macrostachyus,</italic> Euphorbiaceae) and sweet potatoes (<italic>Ipomoea batatas</italic>, Convolvulaceae).
<italic>Croton</italic> is a forest tree, whereas sweet potatoes are a common crop planted
throughout the area. Newly fallen leaves of “<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>C</mml:mi><mml:mi>r</mml:mi><mml:mi>o</mml:mi><mml:mi>t</mml:mi><mml:mi>o</mml:mi><mml:mi>n</mml:mi></mml:mrow></mml:math></inline-formula>” with no signs of
herbivory and microbial activity were hand-picked from the ground. In
contrast, mature leaves were harvested from the <italic>Ipomoea</italic> plants. <italic>Croton</italic> material had a
higher initial <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>C</mml:mi><mml:mo>/</mml:mo><mml:mi>N</mml:mi></mml:mrow></mml:math></inline-formula> ratio (20.5) than <italic>Ipomoea</italic> leaf litter (14.9; measured with an
Elementar Vario EL element analyser). This lower <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>C</mml:mi><mml:mo>/</mml:mo><mml:mi>N</mml:mi></mml:mrow></mml:math></inline-formula> ratio of <italic>Ipomoea</italic> leaves may
have two reasons. First, <italic>Ipomoea</italic> plants may have been fertilized by farmers.
Second, we used senescent leaves for <italic>Croton</italic>, whilst for <italic>Ipomoea</italic> fresh leaves had to be used.
Although <italic>Ipomoea</italic> material was no leaf litter in the strict sense, we call all
material used during the experiment for simplicity “litter”.</p>
      <p>The importance of invertebrates for the mass loss of litter was estimated in
all 10 experiments by using litter bags with two different mesh sizes. Large
mesh size bags (5 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 5 mm<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> allow the passage of most soil
invertebrates, and small mesh bags (20 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 20 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> allow access of bacteria,
fungal hyphae, and small invertebrates, while restricting access of larger
invertebrates (Schädler and Brandl, 2005).</p>
      <p>Particularly important for our analyses is an experiment (experiment 8 in
Table S1) where we analysed the mass loss of litter in forest fragments of
the Kakamega area (see Schleuning et al., 2011) as well two experiments (2
and 3 in Table S1) where we analysed the variation of litter mass loss
during decomposition with land-use intensity. For the latter experiments we
selected five land-use systems (Table 1). These land-use systems represent a
gradient of land-use intensification from (nearly) undisturbed primary forest
to farmlands (Table 1; Kagezi et al., 2011). We additionally measured mass
loss of litter in natural patches of grasslands. However, these patches are
not easily ranked within our land-use gradient (see also Lung and Schaab,
2006; Table 1).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><caption><p>Statistical analysis of the arcsine-transformed means of
litter mass loss within 5 weeks as a measure of decompositions rates in
five systems of land use with different types of land use (see Table 1).
Within each type of land use we established five plots, and we treated plots as
a random factor within land use. Therefore, we give for each test the d<inline-formula><mml:math display="inline"><mml:mi>f</mml:mi></mml:math></inline-formula> and
MS for the numerator of the F-test (subscript 1) as well as for the
denominator (subscript 2).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="9">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="center"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:colspec colnum="6" colname="col6" align="left"/>
     <oasis:colspec colnum="7" colname="col7" align="left"/>
     <oasis:colspec colnum="8" colname="col8" align="center"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Effect</oasis:entry>  
         <oasis:entry colname="col3">SS</oasis:entry>  
         <oasis:entry colname="col4">d<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">MS<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">d<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7">MS<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col8">F</oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">land use</oasis:entry>  
         <oasis:entry colname="col2">Fixed</oasis:entry>  
         <oasis:entry colname="col3">0.382</oasis:entry>  
         <oasis:entry colname="col4">4</oasis:entry>  
         <oasis:entry colname="col5">0.0954</oasis:entry>  
         <oasis:entry colname="col6">20</oasis:entry>  
         <oasis:entry colname="col7">0.00507</oasis:entry>  
         <oasis:entry colname="col8">18.8</oasis:entry>  
         <oasis:entry colname="col9">&lt; 0.001</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">plot (land use)</oasis:entry>  
         <oasis:entry colname="col2">Random</oasis:entry>  
         <oasis:entry colname="col3">0.101</oasis:entry>  
         <oasis:entry colname="col4">20</oasis:entry>  
         <oasis:entry colname="col5">0.00507</oasis:entry>  
         <oasis:entry colname="col6">23.7</oasis:entry>  
         <oasis:entry colname="col7">0.00267</oasis:entry>  
         <oasis:entry colname="col8">1.90</oasis:entry>  
         <oasis:entry colname="col9">&lt; 0.068</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Leaf type</oasis:entry>  
         <oasis:entry colname="col2">Fixed</oasis:entry>  
         <oasis:entry colname="col3">0.0499</oasis:entry>  
         <oasis:entry colname="col4">1</oasis:entry>  
         <oasis:entry colname="col5">0.0499</oasis:entry>  
         <oasis:entry colname="col6">20</oasis:entry>  
         <oasis:entry colname="col7">0.00121</oasis:entry>  
         <oasis:entry colname="col8">41.3</oasis:entry>  
         <oasis:entry colname="col9">&lt; 0.001</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Mesh</oasis:entry>  
         <oasis:entry colname="col2">Fixed</oasis:entry>  
         <oasis:entry colname="col3">0.550</oasis:entry>  
         <oasis:entry colname="col4">1</oasis:entry>  
         <oasis:entry colname="col5">0.550</oasis:entry>  
         <oasis:entry colname="col6">20</oasis:entry>  
         <oasis:entry colname="col7">0.00205</oasis:entry>  
         <oasis:entry colname="col8">267</oasis:entry>  
         <oasis:entry colname="col9">&lt; 0.001</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Land-use*leaf type</oasis:entry>  
         <oasis:entry colname="col2">Fixed</oasis:entry>  
         <oasis:entry colname="col3">0.0161</oasis:entry>  
         <oasis:entry colname="col4">4</oasis:entry>  
         <oasis:entry colname="col5">0.00403</oasis:entry>  
         <oasis:entry colname="col6">20</oasis:entry>  
         <oasis:entry colname="col7">0.00121</oasis:entry>  
         <oasis:entry colname="col8">3.34</oasis:entry>  
         <oasis:entry colname="col9">0.030</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Land-use*mesh</oasis:entry>  
         <oasis:entry colname="col2">Fixed</oasis:entry>  
         <oasis:entry colname="col3">0.0258</oasis:entry>  
         <oasis:entry colname="col4">4</oasis:entry>  
         <oasis:entry colname="col5">0.00646</oasis:entry>  
         <oasis:entry colname="col6">20</oasis:entry>  
         <oasis:entry colname="col7">0.00205</oasis:entry>  
         <oasis:entry colname="col8">3.15</oasis:entry>  
         <oasis:entry colname="col9">0.037</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Plot (land-use*leaf type)</oasis:entry>  
         <oasis:entry colname="col2">Random</oasis:entry>  
         <oasis:entry colname="col3">0.0241</oasis:entry>  
         <oasis:entry colname="col4">20</oasis:entry>  
         <oasis:entry colname="col5">0.00121</oasis:entry>  
         <oasis:entry colname="col6">20</oasis:entry>  
         <oasis:entry colname="col7">0.000587</oasis:entry>  
         <oasis:entry colname="col8">2.05</oasis:entry>  
         <oasis:entry colname="col9">0.058</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Plot (land-use*mesh)</oasis:entry>  
         <oasis:entry colname="col2">Random</oasis:entry>  
         <oasis:entry colname="col3">0.0411</oasis:entry>  
         <oasis:entry colname="col4">20</oasis:entry>  
         <oasis:entry colname="col5">0.00205</oasis:entry>  
         <oasis:entry colname="col6">20</oasis:entry>  
         <oasis:entry colname="col7">0.000587</oasis:entry>  
         <oasis:entry colname="col8">3.49</oasis:entry>  
         <oasis:entry colname="col9">0.004</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Land-use*leaf*mesh</oasis:entry>  
         <oasis:entry colname="col2">Fixed</oasis:entry>  
         <oasis:entry colname="col3">0.0331</oasis:entry>  
         <oasis:entry colname="col4">5</oasis:entry>  
         <oasis:entry colname="col5">0.00661</oasis:entry>  
         <oasis:entry colname="col6">20</oasis:entry>  
         <oasis:entry colname="col7">0.000587</oasis:entry>  
         <oasis:entry colname="col8">11.3</oasis:entry>  
         <oasis:entry colname="col9">&lt; 0.001</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p>As already noted, mass loss of leaf litter across different land-use types
(five types; see Table 1) was done twice on the same plots (Table S1). For each land-use type we established five experimental
plots (<inline-formula><mml:math display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 1 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1 m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>). The distribution of land-use
types did not allow us to randomize location of plots across land-use types,
and therefore plots are somewhat clustered, introducing spatial
autocorrelation (Fig. S2 in the Supplement). In the first experiment (experiment 2
in Table S1) four litter bags of each mesh size (two <italic>Croton</italic> and two <italic>Ipomoea</italic>) and in the second
experiment (experiment 3 in Table S1) eight litter bags of each mesh size (four <italic>Croton</italic> and
four <italic>Ipomoea</italic>) were used on each plot. We removed the petioles and cleaned the leaves by
washing them in water, sun-dried them, and stored them at room temperature.
We established litter bags using 3.0 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1 g of sun-dried litter of
each plant species. Litter bags were individually labelled and initial litter
mass was recorded. Before placing the litter bags on the soil surface at the
plot, any litter or debris present was removed to ensure that the bags were
in contact with the soil surface (Attignon et al., 2004). We covered the
plots with a chicken mesh net, securing the net with wire hooks (Attignon et
al., 2004) to prevent disturbance by animals (Fig. S1).</p>
      <p>Based on a preliminary experiment (experiment 1 in Table S1), we decided to
retrieve the litter bags from the field after 5 weeks. The large mesh size
litter bags were put individually in labelled paper bags to prevent loss of
any material. We cleaned the remaining litter by brushing off the soil
particles. After experiment 3 (Table S1), the leaves were cleaned by
floating in water. In one supplementary experiment in June/July 2008
(experiment 6 in Table S1), we tested the influence of the different
cleaning techniques. This experiment showed that the impact of the experimental
procedure on mass loss of litter was much lower than the effects of forest
fragmentation and land-use intensity. We put the cleaned leaf material in
labelled paper bags and sun-dried them. After re-weighing the dried
remaining material, we calculated the percentage mass loss. Preliminary
graphical and statistical analyses showed that the general patterns of the
variation of mass loss with land-use, mesh size, and litter types including
interactions were the same for the two experiments testing for the effects
of land-use on mass loss. Furthermore as noted above, the bags were exposed
on the same plots, and therefore the two experiments were repeated measures
for the same plots. We were not interested in variation of mass loss with
season in these two particular experiments, and therefore we averaged the
estimates of the two experiments for analysis of the effects of land-use
type, litter type, and mesh size (Table 2).</p>
      <p>The decomposition experiments in the 11 plots within the seven fragments
(Schleuning et al., 2011) were done in January and February 2009 (experiment
8 in Table s1) and followed the same experimental protocol as described
above. However, in this particular experiment we used only <italic>Croton</italic> litter. During
this experiment climate was particularly dry. This experiment was used to
test for the relationship between mass loss and fragment size.</p>
      <p>The experiments described above (experiments 1, 2, 3, 6, 8 in Table S1) as
well as all other five experiments listed in Table S1
were used to explore the variation of mass loss throughout the year,
calculating the mean for bags with large and small mesh size using
arcsine-transformed values of each bag. The difference between both means
indicates the contribution of invertebrates to decomposition. We correlated
mass loss of litter with rainfall, using the mean monthly rainfall of the 2
months during which the bags were in the field (Table
S1). The rainfall data are from two rainfall stations (Kakamega Forest
Station and Kakamega Meteorological Station) and were provided by the Kenya
Meteorological Department. We used the mean of the two stations.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <title>Data analysis</title>
      <p>The litter mass loss (in %) was arcsine-transformed to approach
normality and to reduce heterogeneity of variances. We used simple
regression analyses to test for the relationship of litter mass loss with
rainfall (all experiments) or area of the forest fragments (area
log<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>10</mml:mn></mml:msub></mml:math></inline-formula>-transformed; experiment 8 in Table S1). We analysed the
experiment, evaluating litter mass loss on plots affected by different levels
of land-use intensification (experiments 2, 3; Table S1) using a general
linear model to test for the effects of land-use system, mesh size, and
litter type on decomposition. Plots were treated as a random factor within
land-use. Autocorrelation refers to a correlation between observations
induced by omitting one or more variables of major importance from the
statistical model. Using plots as a random factor accounts for such omitted
variables. Land-use, mesh size of the bags, and litter type were classified
as fixed effects (see Table 2). As noted above, location of plots shows
spatial autocorrelation. We ordered the land use systems with land-use
intensification (excluding grasslands; see above) and calculated a simple
correlation coefficient between land-use intensification and the average
mass loss across all plots within a land-use system. This correlation
coefficient has only two degrees of freedom and provides a very
conservative estimate of the relationship of decomposition with land-use
intensification. Because all our correlation coefficients are based on few
values (low power), we accepted significance with <inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> 0.1 to reduce the
probability of type I errors.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><caption><p>Relationship between rainfall during the decomposition
experiments (mean across the months in which the experiment was run) and
mass loss (mean <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> standard deviation of acrcsine-transformed values;
see Fig. 1; excluding the value for the Budongo Forest; <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 9).</p></caption>
          <?xmltex \igopts{width=213.395669pt}?><graphic xlink:href="https://we.copernicus.org/articles/16/51/2016/we-16-51-2016-f02.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><caption><p>Relationship between mass loss over 5 weeks
(mean <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> standard deviation of arcsine-transformed values) for 11
plots within 7 forest fragments in the Kakamega area, western Kenya. Mass
loss was measured at all sites during January and February 2009. The squares
indicate the four observatories in the largest forest fragment (values
jittered to reduce the overlap of symbols)</p></caption>
          <?xmltex \igopts{width=213.395669pt}?><graphic xlink:href="https://we.copernicus.org/articles/16/51/2016/we-16-51-2016-f03.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><caption><p>Mass loss of organic material (in % after 5 weeks)
within five land-use systems affected by different levels of land-use
intensity from (nearly) undisturbed primary forest to farmlands. We present
a breakdown for <italic>Ipomoea</italic> leaves and <italic>Croton</italic> leaf litter in litter bags with large and small mesh
sizes (with and without access of macro-invertebrates) in the Kakamega area,
western Kenya. The graph shows raw means and associated standard deviations
across all plots averaging across two experiments (see Table S1; sample size
of each mean: 60; 5 plots <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 4 bags during the first experiment and 5 plots <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 8
bags during the second; the two experiments were kept separate in Fig. 1
and 2; for statistical tests see Table 2).</p></caption>
          <?xmltex \igopts{width=213.395669pt}?><graphic xlink:href="https://we.copernicus.org/articles/16/51/2016/we-16-51-2016-f04.png"/>

        </fig>

</sec>
<sec id="Ch1.S2.SS4">
  <title>Results</title>
      <p>Averaging between the two leaf types, we found a clear correlation between
mass loss and rainfall for both mesh sizes (Figs. 1 and 2), although there
was more scatter between the experiments with large mesh size. In contrast
to the expectation from the literature, the difference between mass loss in
litter bags with large and small mesh sizes was low. The contribution of
soil fauna to the mass loss varied between 0 and 10 %. Although the impact
of soil animals on mass loss seemed to be low during the long dry season
(Fig. 1), we did not find a correlation of rainfall on the influence of
invertebrates (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 0.23; <inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.5).</p>
      <p>As we found little influence of invertebrates on mass loss particularly
during dry periods, we decided to average mass loss across mesh sizes for
the analyses of the forest fragments. Using all the 11 plots, the scatter
plot suggests an increase of mass loss with fragment area (Fig. 3). Four
plots are only repeated measures for the largest fragment. After averaging
these four values, the increase of mass loss with rainfall was significant
(<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 0.77; <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 7; <inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.04).</p>
      <p>We found that all the three main factors (land-use, leave type, mesh size)
had a significant influence on mass loss (see Table 2). Mass loss in litter
bags with small mesh sizes was lower compared to bags with large mesh sizes
(Fig. 4). However, the difference of bags with large and small mesh size was
small, as already noted for Fig. 1. <italic>Ipomoea</italic> showed a higher mass loss than <italic>Croton</italic> leaf
litter except in grasslands (Fig. 4), leading to the interaction land-use*leaf
type. Furthermore, we found a land-use*mesh size
interaction, indicating that the effect of invertebrates on mass loss differed between
land-use types. As indicated in Fig. 4, the importance of invertebrates for
mass loss is higher in primary forests than in farmland. Excluding
grasslands, we ordered land-use systems along a land-use gradient from 1
(little anthropogenic influence) to 4 (large anthropogenic influence). Mass
loss decreased along this gradient (Table 1; <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo></mml:mrow></mml:math></inline-formula>0.95; <inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 4;
<inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.032; using overall means across sites). This pattern was similar
irrespective of mesh size and litter type. The difference of mass loss with
and without access of invertebrates decreased with land-use intensification
using differences between means across all plots (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.90; <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 4;
<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 0.095), which supported the results presented in Table 2.</p>
</sec>
<sec id="Ch1.S2.SS5">
  <title>Discussion</title>
      <p>Summarizing our results, we found, as expected, a clear correlation between
rainfall and decomposition measured by the mass loss of litter over 5
weeks. More important are the results suggesting that a decrease of forest
fragments in area has a negative effect on decomposition. In line with this
finding the experiments at sites affected by different levels of land-use
intensity showed a decrease of decomposition with land-use intensification.
Finally, we found that soil invertebrates had only small effects on
decomposition and that this effect decreases with land-use
intensification.<?xmltex \hack{\newpage}?></p>
      <p>Our results are in agreement with earlier studies that have reported higher
decomposition rates in undisturbed forests than in disturbed systems (e.g.
Lavelle and Pashanasi, 1989; Didham, 1998; Höfer et al., 2001; Attignon
et al., 2004; Martius et al., 2004; O'Neill et al., 2006; but see
Vasconcelos and Laurance, 2005). In contrast, Schleuning et al. (2011) used
part of our data and reported in their analysis of various ecosystem
processes in correlation with fragment size and logging that the contribution
of invertebrates to decomposition even increased with decreasing fragment
size. This study included only the <italic>Croton</italic> leaves and forest sites in their
analysis. Given the interactions between leaf type and land-use type in
their effect on decomposition (see Table 1), the subtle differences in the
analyses of the data as well as the limited number of replicates makes
interpretations difficult. Nevertheless, overall mass loss of leaf litter is
supposed to be a good indicator for the functioning of the decomposer
community (Martius et al., 2004). Schleuning et al. (2011) reported in their
analysis a clear correlation between the composition of the decomposer fauna
and the contribution of these animals to the decomposition process. The
vegetation cover accompanied by the diversity of plant species in near-primary
forests provides diverse habitat structures with more buffered
microclimate that protects the soil biota from variations in temperature and
associated moisture stress (Mesquita et al., 1998; Dibog et al., 1999).
Accordingly, soil invertebrates have been reported to be more numerous and
diverse in primary forests than in disturbed systems (Giller et al., 1997;
Barros et al., 2002).</p>
      <p>The importance of sufficient moisture for decomposition is indicated by the
correlation between decomposition and rainfall (see also Pandey and Singh,
1982; Hutson and Veitch, 2006; but see Deshmukh, 1985), probably due to the
increased activity of the microorganisms and small invertebrates. For larger
invertebrates, the relationship between rainfall and activity may be less
simple. During periods with very low and very high rainfall animals may
shift into deeper soil layers (Legakis and Adamopoulou, 2005). This
behaviour may preclude any meaningful analysis of the contribution of
soil invertebrates with rainfall with the available data. Nevertheless, a
visual inspection of our data suggests that the influence of invertebrates
is highest during the rainy season (see also Attignon et al., 2004).</p>
      <p>Mesh size of litter bags is known to influence decomposition dynamics by
controlling different size classes of the decomposer community (Schädler
and Brandl, 2005). Mesh size, however, influences also the microclimate
(Bradford et al., 2002; Hunter et al., 2003). This effect should be less
important in forest ecosystems with less direct solar radiation and low
evaporation. In our study, we always observed higher mass loss in litter bags
with a large than small mesh size, irrespective of the land-use system or
the litter type (Figs. 1 and 4). This demonstrates the importance of
invertebrates for decomposition (e.g. González and Seastedt, 2001;
Bradford et al., 2002; Schädler and Brandl, 2005; Vasconcelos and
Laurance, 2005; O'Neill et al., 2006; but see Ribas et al., 2006). However,
compared to other studies, this influence was low in all our experiments
(&lt; 10 %; Fig. 1; but see also Whitford et al., 1986). Our
findings contradict some of the earlier studies reporting the influence
of invertebrates on leaf litter decomposition to be more pronounced in
tropical compared to temperate ecosystems (e.g. Heneghan et al., 1999;
González and Seastedt, 2001). This discrepancy may probably be in part
due to the environmental context of the studies. Heneghan et al. (1999) and
González and Seastedt (2001) measured decomposition rates in tropical
systems at elevations of about 500 m a.s.l.. Decomposition rates are known
to decrease with increasing elevation (Coûteaux et al., 2002), due to a
decrease in abundance and activity of decomposer communities at higher
elevations (e.g. Schinner, 1982; Olson, 1994; Gathorne-Hardy et al., 2001). Our
study sites were located at about 1500 m a.s.l. (Mitchell, 2004).</p>
      <p>In disturbed habitats the contribution of soil fauna to the decomposition
processes was less pronounced than in near-primary forests. The clear
correlation of mass loss with rainfall for bags with small mesh size shows
that moisture is limiting. Therefore it is tempting to speculate that the
interaction between land-use and mesh size is due to the reduced density and
activity of invertebrates. In fact we found a decrease of the contribution
of invertebrates with land-use intensification. Clearing or disturbing
forests affects assemblages and activities of the larger soil invertebrates
(Radford et al., 2001; Vasconcelos and Laurance, 2005) and consequently
should also affect decomposition (Mesquita et al., 1998; Höfer et al.,
2001; Martius et al., 2004). Overall, our data are consistent with the
hypothesis that the contribution of invertebrates to decomposition processes
decreases with human disturbance (also see Höfer et al., 2001; Martius
et al., 2004).</p>
      <p>Our results suggest that forest fragmentation and land-use intensification
lead to a decrease of leaf litter mass loss and that in the Kakamega area
decomposition is mainly driven by microbiota and small invertebrates (body
size &lt; 20 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m). Soil moisture may be a limiting factor
for decomposition. Therefore, all land-use practices that affect
microclimate will also influence decomposition. However, it is worth noting
that decomposition at disturbed sites is still at a level which may be
sufficient to maintain ecosystem services for sustainable use (Höfer et
al., 2001; Barros et al., 2002; Martius et al., 2004). Assemblages of small
soil organisms may show a greater resistance to moderate levels of forest
disturbance than previously thought (see also Eggleton et al., 1995;
Quintero and Roslin, 2005). Nevertheless, in order to protect and enhance
the biological activity responsible for decomposition, management practices
should maintain as much canopy cover as possible (e.g. by using agroforestry
practices) to achieve sustainable agricultural production (see also Dibog et
al., 1999).</p>
</sec>
</sec>

      
      </body>
    <back><app-group>
        <supplementary-material position="anchor"><p><bold>The Supplement related to this article is available online at <inline-supplementary-material xlink:href="http://dx.doi.org/10.5194/we-16-51-2016-supplement" xlink:title="pdf">doi:10.5194/we-16-51-2016-supplement</inline-supplementary-material>.</bold></p></supplementary-material>
        </app-group><ack><title>Acknowledgements</title><p>The German Federal Ministry of Education and Research (BMBF) provided
funding through the <italic>Biodiversity Analysis Transect for Africa-East</italic> (BIOTA-E) project. We thank Anna Akol and Charles
Masembe for their technical advice and all members of the BIOTA-E project
for support and nice days in the field. Henry Mukhola and David
Eichenberg assisted with fieldwork. We are grateful to the farmers of Buyangu
village for permitting us to use their fields for the study. Permission to
work in Kakamega Forest was granted by the Kenya Wildlife Service (KWS).<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: D. Montesinos<?xmltex \hack{\newline}?>
Reviewed by: C. Martius and one anonymous referee</p></ack><ref-list>
    <title>References</title>

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    </app></app-group></back>
    <!--<article-title-html>Impacts of land-use intensification on litter decomposition in western Kenya</article-title-html>
<abstract-html><p class="p">Tropical forests are faced with a substantial loss of forest cover due to
human activities. The various forms of land use influence habitat
structure, microclimate, and co-occurring species, with possible
effects on ecosystem processes. The forests of western Kenya are the most
eastern parts of the Congolian rainforests. Due to the high human
population density only few remnants of these rainforests remained. Even
protected areas are influenced by human disturbances, with unknown effects
on ecosystem processes. Therefore, we quantified the mass loss of
leaf litter with and without access of soil invertebrates within forest
fragments and sites affected by increasing levels of agricultural land-use
intensity in the Kakamega area (western Kenya; 1500 m a.s.l.). Mass loss of
litter as an estimate of decomposition rate increased with rainfall during
the annual cycle. Furthermore, mass loss increased with the area of forest
fragments and decreased with land-use intensification. We found that soil
invertebrates had only small effects on mass loss (&lt; 10 %), and
this effect decreased with land-use intensification. Our data showed that
forest fragmentation has negative effects on litter decomposition. However,
the magnitude of this negative effect was not as large as expected.</p></abstract-html>
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Geoinformation, Karlsruhe University of Applied Sciences, Germany, 1–6,
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agroforestry sites in central Amazonia, Nutr. Cycl. Agrosys., 68,
137–154, 2004.
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Matson, P. A., Parton, W. J., Power, A. G., and Swift, M. J.: Agricultural
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Mesquita, R. de C. G., Workman, S. W., and Neely, C. L.: Slow litter
decomposition in a <i>Cecropia</i>-dominated secondary forest of central Amazonia, Soil
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F. H., Kagezi G. H., Kaib, M., Kraemer, M., Lung, M., Naumann, C. M., Schaab,
G., Templin, M., Uster, D., Wägele, J. W., and
Böhning-Gaese, K.: Forest fragmentation and selective
logging have inconsistent effects on multiple animal-mediated ecosystem
processes in a tropical forest, PLoS ONE 6, e27785,
<a href="http://dx.doi.org/10.1371/journal.pone.0027785" target="_blank">doi:10.1371/journal.pone.0027785</a>, 2011.
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Vasconcelos H. L. and Laurance W. F.: Influence of habitat, litter type, and
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landscape, Oecologia, 144, 456–462, 2005.
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Rusek, J., Voigt, W., Wolters, V., Gardel, H. Z., Ayuke, F. O., Bashford,
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R., Johnson, D. L., Jones, T. H., Kovarova, M., Kranabetter, J. M., Kutny,
L., Lin, K. C., Maryati, M., Masse, D., Pokarzhevskii,A., Rahman, H.,
Sabará, M. G., Salamon, J. A., Swift, M. J., Varele, A., Vasconcelos, H.
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