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    "result": {"data":{"article":{"manuscript":{"id":"94c1779c-27cd-4e28-8074-85ce51165bc6","submissionTypes":["new finding"],"citations":[],"doi":"10.17912/micropub.biology.002158","dbReferenceId":null,"pmcId":null,"pmId":null,"proteopedia":null,"reviewPanel":null,"species":["other"],"integrations":[],"corrections":null,"history":{"received":"2026-04-22T13:44:58.682Z","revisionReceived":"2026-06-10T13:03:29.105Z","accepted":"2026-06-17T22:15:48.965Z","published":"2026-06-22T21:17:38.609Z","indexed":"2026-07-06T21:17:38.609Z"},"versions":[{"id":"598ba0b1-e1e6-45f6-81b0-75f672c1a66d","decision":"edit","abstract":"<p>Leaf litter decomposition rates vary widely in stream ecosystems and understanding how decay over time (<i>k</i>) varies by species can be critical to estimating allochthonous inputs and temporal changes in energy availability in streams. We deployed leaf packs of Japanese knotweed (<i>Reynoutria japonica</i>) and jewelweed (<i>Impatiens capensis</i>) with fine (0.5 mm) and coarse (3.35 mm) mesh to include or exclude macroinvertebrate shredders over an 8-week period. We found jewelweed decomposed 3-7 times faster than knotweed and jewelweed in coarse packs decomposed faster than any published rate. These results highlight the importance of understanding context-dependent herbaceous species decomposition.</p>","acknowledgements":"<p>We would like to thank Matt McTammany for site access, support, and lab equipment, as well as the Freshwater Research Institute at Susquehanna University.</p>","authors":[{"affiliations":["Susquehanna University"],"departments":["Ecology Program"],"credit":["conceptualization","dataCuration","formalAnalysis","methodology","writing_originalDraft","writing_reviewEditing"],"email":"llewellyna@susqu.edu","firstName":"Anne","lastName":"Llewellyn","submittingAuthor":false,"correspondingAuthor":false,"equalContribution":false,"WBId":null,"orcid":null},{"affiliations":["Susquehanna University, Selinsgrove, PA, US"],"departments":["Freshwater Research Institute"],"credit":["conceptualization","dataCuration","formalAnalysis","fundingAcquisition","investigation","methodology","project","resources","supervision","validation","visualization","writing_originalDraft","writing_reviewEditing"],"email":"wilsonmatt@susqu.edu","firstName":"Matthew","lastName":"Wilson","submittingAuthor":true,"correspondingAuthor":true,"equalContribution":false,"WBId":null,"orcid":"0000-0001-6110-8734"}],"awards":[],"conflictsOfInterest":"<p>The authors declare that there are no conflicts of interest present.</p>","dataTable":{"url":"https://portal.micropublication.org/uploads/0813b2b2d3fafe8d58f114139fce35b5.csv"},"extendedData":[],"funding":"<p>Funding to support undergraduate research was provided by the Richard King Mellon Foundation.</p>","image":{"url":"https://portal.micropublication.org/uploads/5bf4d094f7855aea4cc7ed6d315d3d04.jpg"},"imageCaption":"<p>Figure: Decomposition rates and equation fit for (A) jewelweed excluding macroinvertebrates, (B) Jewelweed including macroinvertebrates, (C) Japanese knotweed excluding macroinvertebrates, and (D) Japanese knotweed including macroinvertebrates.</p><p>Table: Mean stream temperature weekly and cumulative degree days throughout the eight-week experiment (7 October - 4 December 2025).</p>","imageTitle":"<p>Decomposition curves for jewelweed and knotweed</p>","methods":"<p>Leaf collection and preparation</p><p>We&nbsp;collected pre-senescent (green) leaves from both species&nbsp;at the Center of Environmental Education and Research (CEER) at Susquehanna University in Selinsgrove, Pennsylvania. The leaves were cut from stalks at the&nbsp;petiole and air-dried in a climate-controlled space for two weeks, until remeasure of dry mass did not change over time. We filled leaf packs, both fine mesh (0.5&nbsp;mm) packs, which allowed for exclusion of macroinvertebrates, and coarse mesh (3.35&nbsp;mm) packs, which allowed for inclusion of macroinvertebrates, with approximately 5 g of dried leaves (5.0005&nbsp;-&nbsp;5.0859&nbsp;g) for deployment.</p><p>Study site</p><p>We deployed leaf packs in a spring-fed&nbsp;unnamed headwater stream&nbsp;to Chillisquaque Creek at&nbsp;the&nbsp;Bucknell University Natural Area (BUNA) in Milton, Pennsylvania, USA. The three riffles were 30 ±&nbsp;5 m apart and the&nbsp;streambed was&nbsp;primary&nbsp;composed of gravel and cobble.&nbsp;Leaf pack chains consisted of five packs for each treatment type placed in random order and location within each riffle to avoid potential for spatial bias. Packs were fully submerged underwater to ensure no movement and separated fully from each other to ensure no overlapping of individual packs. Packs were collected&nbsp;1,&nbsp;2, 4,&nbsp;6,&nbsp;and&nbsp;8&nbsp;weeks&nbsp;after original deployment on October 7<sup>th</sup>, 2025.</p><p>Sample processing</p><p>We washed leaf material in a 350 µm sieve to remove sediment and macroinvertebrates, then dried leaves at 75°C for two days.&nbsp;After recording dry weight, samples were homogenized in a Wiley Mini-Mill, with three 0.25 g subsamples of each pack (or maximum possible number of 0.25 g subsamples from remaining mass) ashed at 550°C for 1 hour, and mean organic content was used to calculate remaining AFDM. We compared this to initial AFDM for each leaf species to calculate proportion remaining by pack and collection date.</p>","reagents":"<p></p>","patternDescription":"<p>Leaf litterfall from riparian corridors is often the primary source of organic matter inputs into temperate headwater streams and critical to ecosystem function and food webs (Wallace et al., 2015). However, leaf litter decomposition rates vary widely in stream ecosystems, largely based on leaf quality (Leroy and Marks 2006), water temperature (Martínez et al., 2014), and biological processing (e.g., microbial and macroinvertebrate consumption; Webster and Benfield 1986). These processes and environmental conditions in conjunction influence the standing stocks of particulate organic matter in streams and the annual variability in allochthonous energy availability to food webs (e.g., Hare et al, 2024).</p><p>While there has been substantial research into processing of tree litterfall and how these influence stream functioning (Webster et al., 1995), there has been comparatively little research of herbaceous species. In addition, the influence of invasive species introductions, such as Japanese knotweed (<i>Reynoutria japonica</i>), are gaining attention for changing quality, quantity, and timing of inputs with the potential for cascading ecosystem effects (Robertson and Coll 2019; Cybill et al., 2020). However, because of the site-specificity in decomposition rates, it is difficult to generalize how replacement of native herbaceous species by invasives might alter decomposition rates without direct comparisons.</p><p>Our goal was to determine the difference in decomposition rates (<i>k</i>, day<sup>-1</sup>) between jewelweed (<i>Impatiens capensis</i>), an eastern North American native species, and <i>R. japonica</i>, a common riparian invasive of the same habitats. In addition, we compared these rates with inclusion or exclusion of macroinvertebrate shredders to separate the relative contributions of microbial and macroinvertebrate processing to <i>k</i>. We placed five, 5-gram leaf packs of each species with fine (0.5 mm) and coarse (3.35 mm) mesh in three riffles of a spring-fed headwater stream to Chillisquaque Creek in central Pennsylvania, USA. We collected one leaf pack from each treatment group and each riffle at one, two, four, six, and eight weeks post-placement in-stream on 7 October 2025 (n = 60). Post-collection, we rinsed leaves, oven-dried at 70ºC for 48 hours, ashed leave material at 550ºC for 60 minutes to measure ash free dry mass (AFDM), and calculated <i>k</i> based on proportion of AFDM remaining from each pack. We calculated decay curves and plotted results with base R and the ggplot2 package (R Core Team 2024; Wickham 2016)</p><p>Overall, <i>I. capensis</i> in coarse leaf packs (allowing macroinvertebrate shredding) had dramatically faster decomposition than all other treatment groups, followed by fine mesh (excluding macroinvertebrates) for <i>I. capensis</i>, coarse mesh <i>R. japonica</i>, then fine mesh <i>R. japonica</i> (Figure 1). All groups were significantly different from each other with p &lt;&lt; 0.001 for species and p = 0.002 for mesh size when including date as a covariate (overall model adjusted R<sup>2</sup> = 0.62). While these decomposition rates<i> </i>are higher than typically reported in the literature, our stream temperature was warmer and cumulative degree day higher than other field experiments of leaf litter decomposition in headwater streams (Table 1). For comparison, the only study we have identified comparing <i>R. japonica</i> decomposition to another <i>Impatiens</i> species (<i>I. glandulifera</i>) found a similar ratio between these species (5.1x faster for <i>Impatiens </i>vs 3.4-7.3x faster in our study), yet overall decomposition rates were an order of magnitude slower (Kuglerová et al., 2017). By comparison, weekly mean water temperatures in our experiment ranged between 5.22-14.21ºC while Kuglerová et al. (2017) had water temperatures considerably lower, between 1.5-10.6ºC. Patterns were also consistent between mesh sizes within species, as the inclusion of macroinvertebrate shredders with coarse leaf packs was expected to increase litter decomposition rates (Webster and Benfield 1986).</p><p>These results underscore the importance of local variability in decomposition rates while filling a knowledge gap to allow for comparison by ratio across studies and species (e.g. Kennedy and El‐Sabaawi 2017). This also highlights the importance of understanding herbaceous species decomposition and expanding study species in more open canopy systems.</p>","references":[{"reference":"<p>Cybill S, Soraya R, Jean-Nicolas B, Laurent H, Nicolas P, Isabelle C. 2020. Ecological implications of the replacement of native plant species in riparian systems: unexpected effects of Reynoutria japonica Houtt. leaf litter. Biological Invasions 22: 1917-1930.</p>","pubmedId":"","doi":"10.1007/s10530-020-02231-7"},{"reference":"<p>Hare DK, Helton AM, Cummins CS, Bumpers PM, Tomczyk NJ, Rogers PA, et al., Benstead. 2024. Leaf litter breakdown phenology in headwater stream networks is modulated by groundwater thermal regimes and litter type. Limnology and Oceanography Letters 9: 532-542.</p>","pubmedId":"","doi":"10.1002/lol2.10423"},{"reference":"<p>Kennedy KTM, El‐Sabaawi RW. 2017. A global meta‐analysis of exotic versus native leaf decay in stream ecosystems. Freshwater Biology 62: 977-989.</p>","pubmedId":"","doi":"10.1111/fwb.12918"},{"reference":"<p>Kuglerová L, García L, Pardo I, Mottiar Y, Richardson JS. 2017. Does leaf litter from invasive plants contribute the same support of a stream ecosystem function as native vegetation?. Ecosphere 8: 10.1002/ecs2.1779.</p>","pubmedId":"","doi":"10.1002/ecs2.1779"},{"reference":"<p>Leroy CJ, Marks JC. 2006. Litter quality, stream characteristics and litter diversity influence decomposition rates and macroinvertebrates. Freshwater Biology 51: 605-617.</p>","pubmedId":"","doi":"10.1111/j.1365-2427.2006.01512.x"},{"reference":"<p>Martínez A, Larrañaga A, Pérez J, Descals E, Pozo JS. 2013. Temperature affects leaf litter decomposition in low-order forest streams: field and microcosm approaches. FEMS Microbiology Ecology 87: 257-267.</p>","pubmedId":"","doi":"10.1111/1574-6941.12221"},{"reference":"<p>R Core Team. 2024. R: A Language and Environment for Statistical Computing_. R Foundation for Statistical Computing, Vienna, Austria. &lt;https://www.R-project.org/&gt;.</p>","pubmedId":"","doi":""},{"reference":"<p>Robertson DJ, Coll M. 2019. Effects of riparian invasive nonindigenous plants on freshwater quantity and ecological functioning in mesic temperate landscapes. Natural Areas Journal 39: 22.</p>","pubmedId":"","doi":"10.3375/043.039.0102"},{"reference":"<p>Wallace JB, Eggert SL, Meyer JL, Webster JR. 2015. Stream invertebrate productivity linked to forest subsidies: 37 stream‐years of reference and experimental data. Ecology 96: 1213-1228.</p>","pubmedId":"","doi":"10.1890/14-1589.1"},{"reference":"<p>Webster JR, Benfield EF. 1986. Vascular plant breakdown in freshwater ecosystems.&nbsp;Annual Review of Ecology and Systematics 17: 567-594.</p>","pubmedId":"","doi":"10.1146/annurev.es.17.110186.003031"},{"reference":"<p>Webster JR, Wallace JB, Benfield EF. 1995. Organic processes in streams of the eastern United States.&nbsp;River and Stream Ecosystems of the World: With a New Introduction, pp 117-187.</p>","pubmedId":"","doi":""},{"reference":"<p>Wickham H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York.</p>","pubmedId":"","doi":""}],"title":"<p>In-stream decomposition rates of Japanese knotweed (<i>Reynoutria japonica</i>) and jewelweed (<i>Impatiens capensis</i>) vary by inclusion or exclusion of macroinvertebrate shredders</p>","reviews":[],"curatorReviews":[]},{"id":"9887ce62-f647-48f3-8e13-f641f6d43f06","decision":"revise","abstract":"<p>Leaf litter decomposition rates vary widely in stream ecosystems and understanding how decay over time (<i>k</i>) varies by species can be critical to estimating allochthonous inputs and temporal changes in energy availability in streams. We deployed leaf packs of Japanese knotweed (<i>Reynoutria japonica</i>) and jewelweed (<i>Impatiens capensis</i>) with fine (0.5 mm) and coarse (3.35 mm) mesh to include or exclude macroinvertebrate shredders over an 8-week period. We found jewelweed decomposed 3-7 times faster than knotweed and jewelweed in coarse packs decomposed faster than any published rate. These results highlight the importance of understanding context-dependent herbaceous species decomposition.</p>","acknowledgements":"<p>We would like to thank Matt McTammany for site access, support, and lab equipment, as well as the Freshwater Research Institute at Susquehanna University.</p>","authors":[{"affiliations":["Susquehanna University"],"departments":["Ecology Program"],"credit":["conceptualization","dataCuration","formalAnalysis","methodology","writing_originalDraft","writing_reviewEditing"],"email":"llewellyna@susqu.edu","firstName":"Anne","lastName":"Llewellyn","submittingAuthor":false,"correspondingAuthor":false,"equalContribution":false,"WBId":null,"orcid":null},{"affiliations":["Susquehanna University, Selinsgrove, PA, US"],"departments":["Freshwater Research Institute"],"credit":["conceptualization","dataCuration","formalAnalysis","fundingAcquisition","investigation","methodology","project","resources","supervision","validation","visualization","writing_originalDraft","writing_reviewEditing"],"email":"wilsonmatt@susqu.edu","firstName":"Matthew","lastName":"Wilson","submittingAuthor":true,"correspondingAuthor":true,"equalContribution":false,"WBId":null,"orcid":"0000-0001-6110-8734"}],"awards":[],"conflictsOfInterest":"<p>The authors declare that there are no conflicts of interest present.</p>","dataTable":{"url":"https://portal.micropublication.org/uploads/0813b2b2d3fafe8d58f114139fce35b5.csv"},"extendedData":[],"funding":"<p>Funding to support undergraduate research was provided by the Richard King Mellon Foundation.</p>","image":{"url":"https://portal.micropublication.org/uploads/5bf4d094f7855aea4cc7ed6d315d3d04.jpg"},"imageCaption":"<p>Figure: Decomposition rates and equation fit for (A) jewelweed excluding macroinvertebrates, (B) Jewelweed including macroinvertebrates, (C) Japanese knotweed excluding macroinvertebrates, and (D) Japanese knotweed including macroinvertebrates.</p><p>Table 1: Mean stream temperature weekly and cumulative degree days throughout the eight-week experiment (7 October - 4 December 2025).</p>","imageTitle":"<p>Decomposition curves for jewelweed and knotweed</p>","methods":"<p>Leaf collection and preparation</p><p>We&nbsp;collected pre-senescent (green) leaves from both species&nbsp;at the Center of Environmental Education and Research (CEER) at Susquehanna University in Selinsgrove, Pennsylvania. The leaves were cut from stalks at the&nbsp;petiole and air-dried in a climate-controlled space for two weeks, until remeasure of dry mass did not change over time. We filled leaf packs, both fine mesh (0.5&nbsp;mm) packs, which allowed for exclusion of macroinvertebrates, and coarse mesh (3.35&nbsp;mm) packs, which allowed for inclusion of macroinvertebrates, with approximately 5 g of dried leaves (5.0005&nbsp;-&nbsp;5.0859&nbsp;g) for deployment.</p><p>Study site</p><p>We deployed leaf packs in a spring-fed&nbsp;unnamed headwater stream&nbsp;to Chillisquaque Creek at&nbsp;the&nbsp;Bucknell University Natural Area (BUNA) in Milton, Pennsylvania, USA. The three riffles were 30 ±&nbsp;5 m apart and the&nbsp;streambed was&nbsp;primary&nbsp;composed of gravel and cobble.&nbsp;Leaf pack chains consisted of five packs for each treatment type placed in random order and location within each riffle to avoid potential for spatial bias. Packs were fully submerged underwater to ensure no movement and separated fully from each other to ensure no overlapping of individual packs. Packs were collected&nbsp;1,&nbsp;2, 4,&nbsp;6,&nbsp;and&nbsp;8&nbsp;weeks&nbsp;after original deployment on October 7<sup>th</sup>, 2025.</p><p>Sample processing</p><p>We washed leaf material in a 350 µm sieve to remove sediment and macroinvertebrates, then dried leaves at 75°C for two days.&nbsp;After recording dry weight, samples were homogenized in a Wiley Mini-Mill, with three 0.25 g subsamples of each pack (or maximum possible number of 0.25 g subsamples from remaining mass) ashed at 550°C for 1 hour, and mean organic content was used to calculate remaining AFDM. We compared this to initial AFDM for each leaf species to calculate proportion remaining by pack and collection date.</p>","reagents":"<p></p>","patternDescription":"<p>Leaf litterfall from riparian corridors is often the primary source of organic matter inputs into temperate headwater streams and critical to ecosystem function and food webs (Wallace et al., 2015). However, leaf litter decomposition rates vary widely in stream ecosystems, largely based on leaf quality (Leroy and Marks 2006), water temperature (Martínez et al., 2014), and biological processing (e.g., microbial and macroinvertebrate consumption; Webster and Benfield 1986). These processes and environmental conditions in conjunction influence the standing stocks of particulate organic matter in streams and the annual variability in allochthonous energy availability to food webs (e.g., Hare et al, 2024).</p><p>While there has been substantial research into processing of tree litterfall and how these influence stream functioning (Webster et al., 1995), there has been comparatively little research of herbaceous species. In addition, the influence of invasive species introductions, such as Japanese knotweed (<i>Reynoutria japonica</i>), are gaining attention for changing quality, quantity, and timing of inputs with the potential for cascading ecosystem effects (Robertson and Coll 2019; Cybill et al., 2020). However, because of the site-specificity in decomposition rates, it is difficult to generalize how replacement of native herbaceous species by invasives might alter decomposition rates without direct comparisons.</p><p>Our goal was to determine the difference in decomposition rates (<i>k</i>, day<sup>-1</sup>) between jewelweed (<i>Impatiens capensis</i>), an eastern North American native species, and <i>R. japonica</i>, a common riparian invasive of the same habitats. In addition, we compared these rates with inclusion or exclusion of macroinvertebrate shredders to separate the relative contributions of microbial and macroinvertebrate processing to <i>k</i>. We placed five, 5-gram leaf packs of each species with fine (0.5 mm) and coarse (3.35 mm) mesh in three riffles of a spring-fed headwater stream to Chillisquaque Creek in central Pennsylvania, USA. We collected one leaf pack from each treatment group and each riffle at one, two, four, six, and eight weeks post-placement in-stream on 7 October 2025 (n = 60). Post-collection, we rinsed leaves, oven-dried at 70ºC for 48 hours, ashed leave material at 550ºC for 60 minutes to measure ash free dry mass (AFDM), and calculated <i>k</i> based on proportion of AFDM remaining from each pack. We calculated decay curves and plotted results with base R and the ggplot2 package (R Core Team 2024; Wickham 2016)</p><p>Overall, <i>I. capensis</i> in coarse leaf packs (allowing macroinvertebrate shredding) had dramatically faster decomposition than all other treatment groups, followed by fine mesh (excluding macroinvertebrates) for <i>I. capensis</i>, coarse mesh <i>R. japonica</i>, then fine mesh <i>R. japonica</i> (Figure 1). All groups were significantly different from each other with p &lt;&lt; 0.001 for species and p = 0.002 for mesh size when including date as a covariate (overall model adjusted R<sup>2</sup> = 0.62). While these decomposition rates<i> </i>are higher than typically reported in the literature, our stream temperature was warmer and cumulative degree day higher than other field experiments of leaf litter decomposition in headwater streams (Table 1). For comparison, the only study we have identified comparing <i>R. japonica</i> decomposition to another <i>Impatiens</i> species (<i>I. glandulifera</i>) found a similar ratio between these species (5.1x faster for <i>Impatiens </i>vs 3.4-7.3x faster in our study), yet overall decomposition rates were an order of magnitude slower (Kuglerová et al., 2017). By comparison, weekly mean water temperatures in our experiment ranged between 5.22-14.21ºC while Kuglerová et al. (2017) had water temperatures considerably lower, between 1.5-10.6ºC. Patterns were also consistent between mesh sizes within species, as the inclusion of macroinvertebrate shredders with coarse leaf packs was expected to increase litter decomposition rates (Webster and Benfield 1986).</p><p>These results underscore the importance of local variability in decomposition rates while filling a knowledge gap to allow for comparison by ratio across studies and species (e.g. Kennedy and El‐Sabaawi 2017). This also highlights the importance of understanding herbaceous species decomposition and expanding study species in more open canopy systems.</p>","references":[{"reference":"<p>Cybill S, Soraya R, Jean-Nicolas B, Laurent H, Nicolas P, Isabelle C. 2020. Ecological implications of the replacement of native plant species in riparian systems: unexpected effects of Reynoutria japonica Houtt. leaf litter. Biological Invasions 22: 1917-1930.</p>","pubmedId":"","doi":"10.1007/s10530-020-02231-7"},{"reference":"<p>Hare DK, Helton AM, Cummins CS, Bumpers PM, Tomczyk NJ, Rogers PA, et al., Benstead. 2024. Leaf litter breakdown phenology in headwater stream networks is modulated by groundwater thermal regimes and litter type. Limnology and Oceanography Letters 9: 532-542.</p>","pubmedId":"","doi":"10.1002/lol2.10423"},{"reference":"<p>Kennedy KTM, El‐Sabaawi RW. 2017. A global meta‐analysis of exotic versus native leaf decay in stream ecosystems. Freshwater Biology 62: 977-989.</p>","pubmedId":"","doi":"10.1111/fwb.12918"},{"reference":"<p>Kuglerová L, García L, Pardo I, Mottiar Y, Richardson JS. 2017. Does leaf litter from invasive plants contribute the same support of a stream ecosystem function as native vegetation?. Ecosphere 8: 10.1002/ecs2.1779.</p>","pubmedId":"","doi":"10.1002/ecs2.1779"},{"reference":"<p>Leroy CJ, Marks JC. 2006. Litter quality, stream characteristics and litter diversity influence decomposition rates and macroinvertebrates. Freshwater Biology 51: 605-617.</p>","pubmedId":"","doi":"10.1111/j.1365-2427.2006.01512.x"},{"reference":"<p>Martínez A, Larrañaga A, Pérez J, Descals E, Pozo JS. 2013. Temperature affects leaf litter decomposition in low-order forest streams: field and microcosm approaches. FEMS Microbiology Ecology 87: 257-267.</p>","pubmedId":"","doi":"10.1111/1574-6941.12221"},{"reference":"<p>R Core Team. 2024. R: A Language and Environment for Statistical Computing_. R Foundation for Statistical Computing, Vienna, Austria. &lt;https://www.R-project.org/&gt;.</p>","pubmedId":"","doi":""},{"reference":"<p>Robertson DJ, Coll M. 2019. Effects of riparian invasive nonindigenous plants on freshwater quantity and ecological functioning in mesic temperate landscapes. Natural Areas Journal 39: 22.</p>","pubmedId":"","doi":"10.3375/043.039.0102"},{"reference":"<p>Wallace JB, Eggert SL, Meyer JL, Webster JR. 2015. Stream invertebrate productivity linked to forest subsidies: 37 stream‐years of reference and experimental data. Ecology 96: 1213-1228.</p>","pubmedId":"","doi":"10.1890/14-1589.1"},{"reference":"<p>Webster JR, Benfield EF. 1986. Vascular plant breakdown in freshwater ecosystems.&nbsp;Annual Review of Ecology and Systematics 17: 567-594.</p>","pubmedId":"","doi":"10.1146/annurev.es.17.110186.003031"},{"reference":"<p>Webster JR, Wallace JB, Benfield EF. 1995. Organic processes in streams of the eastern United States.&nbsp;River and Stream Ecosystems of the World: With a New Introduction, pp 117-187.</p>","pubmedId":"","doi":""},{"reference":"<p>Wickham H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York.</p>","pubmedId":"","doi":""}],"title":"<p>In-stream decomposition rates of Japanese knotweed (<i>Reynoutria japonica</i>) and jewelweed (<i>Impatiens capensis</i>) vary by inclusion or exclusion of macroinvertebrate shredders</p>","reviews":[],"curatorReviews":[]},{"id":"6da5e2fc-2372-4b77-9da4-ff0d1795aee4","decision":"revise","abstract":"<p>Leaf litter decomposition rates vary widely in stream ecosystems and understanding how decay over time (<i>k</i>) varies by species can be critical to estimating allochthonous inputs and temporal changes in energy availability in streams. We deployed leaf packs of Japanese knotweed (<i>Reynoutria japonica</i>) and jewelweed (<i>Impatiens capensis</i>) with fine (0.5 mm) and coarse (3.35 mm) mesh to include or exclude macroinvertebrate shredders over an 8-week period. We found jewelweed decomposed 3-7 times faster than knotweed and jewelweed in coarse packs decomposed faster than any published rate. These results highlight the importance of understanding context-dependent herbaceous species decomposition.</p>","acknowledgements":"<p>We would like to thank Matt McTammany for site access, support, and lab equipment, as well as the Freshwater Research Institute at Susquehanna University.</p>","authors":[{"affiliations":["Susquehanna University"],"departments":["Ecology Program"],"credit":["conceptualization","dataCuration","formalAnalysis","methodology","writing_originalDraft","writing_reviewEditing"],"email":"llewellyna@susqu.edu","firstName":"Anne","lastName":"Llewellyn","submittingAuthor":false,"correspondingAuthor":false,"equalContribution":false,"WBId":null,"orcid":null},{"affiliations":["Susquehanna University, Selinsgrove, PA, US"],"departments":["Freshwater Research Institute"],"credit":["conceptualization","dataCuration","formalAnalysis","fundingAcquisition","investigation","methodology","project","resources","supervision","validation","visualization","writing_originalDraft","writing_reviewEditing"],"email":"wilsonmatt@susqu.edu","firstName":"Matthew","lastName":"Wilson","submittingAuthor":true,"correspondingAuthor":true,"equalContribution":false,"WBId":null,"orcid":"0000-0001-6110-8734"}],"awards":[],"conflictsOfInterest":"<p>The authors declare that there are no conflicts of interest present.</p>","dataTable":{"url":"https://portal.micropublication.org/uploads/0813b2b2d3fafe8d58f114139fce35b5.csv"},"extendedData":[],"funding":"<p>Funding to support undergraduate research was provided by the Richard King Mellon Foundation.</p>","image":{"url":"https://portal.micropublication.org/uploads/5bf4d094f7855aea4cc7ed6d315d3d04.jpg"},"imageCaption":"<p>Figure: Decomposition rates and equation fit for (A) jewelweed excluding macroinvertebrates, (B) Jewelweed including macroinvertebrates, (C) Japanese knotweed excluding macroinvertebrates, and (D) Japanese knotweed including macroinvertebrates.</p><p>Table 1: Mean stream temperature weekly and cumulative degree days throughout the eight-week experiment (7 October - 4 December 2025).</p>","imageTitle":"<p>Decomposition curves for jewelweed and knotweed</p>","methods":"<p>Leaf collection and preparation</p><p>We&nbsp;collected pre-senescent (green) leaves from both species&nbsp;at the Center of Environmental Education and Research (CEER) at Susquehanna University in Selinsgrove, Pennsylvania. The leaves were cut from stalks at the&nbsp;petiole and air-dried in a climate-controlled space for two weeks, until remeasure of dry mass did not change over time. We filled leaf packs, both fine mesh (0.5&nbsp;mm) packs, which allowed for exclusion of macroinvertebrates, and coarse mesh (3.35&nbsp;mm) packs, which allowed for inclusion of macroinvertebrates, with approximately 5 g of dried leaves (5.0005&nbsp;-&nbsp;5.0859&nbsp;g) for deployment.</p><p>Study site</p><p>We deployed leaf packs in a spring-fed&nbsp;unnamed headwater stream&nbsp;to Chillisquaque Creek at&nbsp;the&nbsp;Bucknell University Natural Area (BUNA) in Milton, Pennsylvania, USA. The three riffles were 30 ±&nbsp;5 m apart and the&nbsp;streambed was&nbsp;primary&nbsp;composed of gravel and cobble.&nbsp;Leaf pack chains consisted of five packs for each treatment type placed in random order and location within each riffle to avoid potential for spatial bias. Packs were fully submerged underwater to ensure no movement and separated fully from each other to ensure no overlapping of individual packs. Packs were collected&nbsp;1,&nbsp;2, 4,&nbsp;6,&nbsp;and&nbsp;8&nbsp;weeks&nbsp;after original deployment on October 7<sup>th</sup>, 2025.</p><p>Sample processing</p><p>We washed leaf material in a 350 µm sieve to remove sediment and macroinvertebrates, then dried leaves at 75°C for two days.&nbsp;After recording dry weight, samples were homogenized in a Wiley Mini-Mill, with three 0.25 g subsamples of each pack (or maximum possible number of 0.25 g subsamples from remaining mass) ashed at 550°C for 1 hour, and mean organic content was used to calculate remaining AFDM. We compared this to initial AFDM for each leaf species to calculate proportion remaining by pack and collection date.</p>","reagents":"<p></p>","patternDescription":"<p>Leaf litterfall from riparian corridors is often the primary source of organic matter inputs into temperate headwater streams and critical to ecosystem function and food webs (Wallace et al., 2015). However, leaf litter decomposition rates vary widely in stream ecosystems, largely based on leaf quality (Leroy and Marks 2006), water temperature (Martínez et al., 2014), and biological processing (e.g., microbial and macroinvertebrate consumption; Webster and Benfield 1986). These processes and environmental conditions in conjunction influence the standing stocks of particulate organic matter in streams and the annual variability in allochthonous energy availability to food webs (e.g., Hare et al, 2024).</p><p>While there has been substantial research into processing of tree litterfall and how these influence stream functioning (Webster et al., 1995), there has been comparatively little research of herbaceous species. In addition, the influence of invasive species introductions, such as Japanese knotweed (<i>Reynoutria japonica</i>), are gaining attention for changing quality, quantity, and timing of inputs with the potential for cascading ecosystem effects (Robertson and Coll 2019; Cybill et al., 2020). However, because of the site-specificity in decomposition rates, it is difficult to generalize how replacement of native herbaceous species by invasives might alter decomposition rates without direct comparisons.</p><p>Our goal was to determine the difference in decomposition rates (<i>k</i>, day<sup>-1</sup>) between jewelweed (<i>Impatiens capensis</i>), an eastern North American native species, and <i>R. japonica</i>, a common riparian invasive of the same habitats. In addition, we compared these rates with inclusion or exclusion of macroinvertebrate shredders to separate the relative contributions of microbial and macroinvertebrate processing to <i>k</i>. We placed five, 5-gram leaf packs of each species with fine (0.5 mm) and coarse (3.35 mm) mesh in three riffles of a spring-fed headwater stream to Chillisquaque Creek in central Pennsylvania, USA. We collected one leaf pack from each treatment group and each riffle at one, two, four, six, and eight weeks post-placement in-stream on 7 October 2025 (n = 60). Post-collection, we rinsed leaves, oven-dried at 70ºC for 48 hours, ashed leave material at 550ºC for 60 minutes to measure ash free dry mass (AFDM), and calculated <i>k</i> based on proportion of AFDM remaining from each pack. We calculated decay curves and plotted results with base R and the ggplot2 package (R Core Team 2024; Wickham 2016). To test for significant differences in decay rates (as proportion mass remaining) between groups we used an analysis of covariance (ANCOVA) with collection date as a covariate and mesh size and leaf species as explanatory factors (i.e., leaf proportion remaining ~ mesh + species + collection date).</p><p>Overall, <i>I. capensis</i> in coarse leaf packs (allowing macroinvertebrate shredding) had dramatically faster decomposition than all other treatment groups, followed by fine mesh (excluding macroinvertebrates) for <i>I. capensis</i>, coarse mesh <i>R. japonica</i>, then fine mesh <i>R. japonica</i> (Figure 1). All groups were significantly different from each other with F<sub>1,67</sub> = 21.42 and p &lt;&lt; 0.001 for species; and F<sub>1,67</sub> = 10.17 and p = 0.002 for mesh size when including date as a covariate (overall model adjusted R<sup>2</sup> = 0.62, F<sub>3,67</sub> = 39.08, and p &lt;&lt; 0.001). While these decomposition rates<i> </i>are higher than typically reported in the literature, our stream temperature was warmer and cumulative degree day higher than other field experiments of leaf litter decomposition in headwater streams (Table 1). For comparison, the only study we have identified comparing <i>R. japonica</i> decomposition to another <i>Impatiens</i> species (<i>I. glandulifera</i>) found a similar ratio between these species (5.1x faster for <i>Impatiens </i>vs 3.4-7.3x faster in our study), yet overall decomposition rates were an order of magnitude slower (Kuglerová et al., 2017). By comparison, weekly mean water temperatures in our experiment ranged between 5.22-14.21ºC while Kuglerová et al. (2017) had water temperatures considerably lower, between 1.5-10.6ºC. Patterns were also consistent between mesh sizes within species, as the inclusion of macroinvertebrate shredders with coarse leaf packs was expected to increase litter decomposition rates (Webster and Benfield 1986).</p><p>These results underscore the importance of local variability in decomposition rates while filling a knowledge gap to allow for comparison by ratio across studies and species (e.g. Kennedy and El‐Sabaawi 2017). This also highlights the importance of understanding herbaceous species decomposition and expanding study species in more open canopy systems.</p>","references":[{"reference":"<p>Cybill S, Soraya R, Jean-Nicolas B, Laurent H, Nicolas P, Isabelle C. 2020. Ecological implications of the replacement of native plant species in riparian systems: unexpected effects of Reynoutria japonica Houtt. leaf litter. Biological Invasions 22: 1917-1930.</p>","pubmedId":"","doi":"10.1007/s10530-020-02231-7"},{"reference":"<p>Hare DK, Helton AM, Cummins CS, Bumpers PM, Tomczyk NJ, Rogers PA, et al., Benstead. 2024. Leaf litter breakdown phenology in headwater stream networks is modulated by groundwater thermal regimes and litter type. Limnology and Oceanography Letters 9: 532-542.</p>","pubmedId":"","doi":"10.1002/lol2.10423"},{"reference":"<p>Kennedy KTM, El‐Sabaawi RW. 2017. A global meta‐analysis of exotic versus native leaf decay in stream ecosystems. Freshwater Biology 62: 977-989.</p>","pubmedId":"","doi":"10.1111/fwb.12918"},{"reference":"<p>Kuglerová L, García L, Pardo I, Mottiar Y, Richardson JS. 2017. Does leaf litter from invasive plants contribute the same support of a stream ecosystem function as native vegetation?. Ecosphere 8: 10.1002/ecs2.1779.</p>","pubmedId":"","doi":"10.1002/ecs2.1779"},{"reference":"<p>Leroy CJ, Marks JC. 2006. Litter quality, stream characteristics and litter diversity influence decomposition rates and macroinvertebrates. Freshwater Biology 51: 605-617.</p>","pubmedId":"","doi":"10.1111/j.1365-2427.2006.01512.x"},{"reference":"<p>Martínez A, Larrañaga A, Pérez J, Descals E, Pozo JS. 2013. Temperature affects leaf litter decomposition in low-order forest streams: field and microcosm approaches. FEMS Microbiology Ecology 87: 257-267.</p>","pubmedId":"","doi":"10.1111/1574-6941.12221"},{"reference":"<p>R Core Team. 2024. R: A Language and Environment for Statistical Computing_. R Foundation for Statistical Computing, Vienna, Austria. &lt;https://www.R-project.org/&gt;.</p>","pubmedId":"","doi":""},{"reference":"<p>Robertson DJ, Coll M. 2019. Effects of riparian invasive nonindigenous plants on freshwater quantity and ecological functioning in mesic temperate landscapes. Natural Areas Journal 39: 22.</p>","pubmedId":"","doi":"10.3375/043.039.0102"},{"reference":"<p>Wallace JB, Eggert SL, Meyer JL, Webster JR. 2015. Stream invertebrate productivity linked to forest subsidies: 37 stream‐years of reference and experimental data. Ecology 96: 1213-1228.</p>","pubmedId":"","doi":"10.1890/14-1589.1"},{"reference":"<p>Webster JR, Benfield EF. 1986. Vascular plant breakdown in freshwater ecosystems.&nbsp;Annual Review of Ecology and Systematics 17: 567-594.</p>","pubmedId":"","doi":"10.1146/annurev.es.17.110186.003031"},{"reference":"<p>Webster JR, Wallace JB, Benfield EF. 1995. Organic processes in streams of the eastern United States.&nbsp;River and Stream Ecosystems of the World: With a New Introduction, pp 117-187.</p>","pubmedId":"","doi":""},{"reference":"<p>Wickham H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York.</p>","pubmedId":"","doi":""}],"title":"<p>In-stream decomposition rates of Japanese knotweed (<i>Reynoutria japonica</i>) and jewelweed (<i>Impatiens capensis</i>) vary by inclusion or exclusion of macroinvertebrate shredders</p>","reviews":[{"reviewer":{"displayName":"Verónica Ferreira"},"openAcknowledgement":false,"status":{"submitted":true}}],"curatorReviews":[]},{"id":"134eac33-a5b9-4f3d-aa9c-93d91a024eab","decision":"accept","abstract":"<p>Leaf litter decomposition rates vary widely in stream ecosystems and understanding how decay over time (<i>k</i>) varies by species can be critical to estimating allochthonous inputs and temporal changes in energy availability in streams. We deployed leaf packs of Japanese knotweed (<i>Reynoutria japonica</i>) and jewelweed (<i>Impatiens capensis</i>) with fine (0.5 mm) and coarse (3.35 mm) mesh to exclude or include macroinvertebrate shredders, respectively, over an 8-week period. We found jewelweed decomposed 3-7 times faster than knotweed and jewelweed in coarse packs decomposed faster than any published stream litter rate. These results highlight the importance of understanding context-dependent herbaceous species decomposition.</p>","acknowledgements":"<p>We would like to thank Matt McTammany for site access, support, and lab equipment, as well as the Freshwater Research Institute at Susquehanna University.</p>","authors":[{"affiliations":["Susquehanna University"],"departments":["Ecology Program"],"credit":["conceptualization","dataCuration","formalAnalysis","methodology","writing_originalDraft","writing_reviewEditing"],"email":"llewellyna@susqu.edu","firstName":"Anne","lastName":"Llewellyn","submittingAuthor":false,"correspondingAuthor":false,"equalContribution":false,"WBId":null,"orcid":null},{"affiliations":["Susquehanna University, Selinsgrove, PA, US"],"departments":["Freshwater Research Institute"],"credit":["conceptualization","dataCuration","formalAnalysis","fundingAcquisition","investigation","methodology","project","resources","supervision","validation","visualization","writing_originalDraft","writing_reviewEditing"],"email":"wilsonmatt@susqu.edu","firstName":"Matthew","lastName":"Wilson","submittingAuthor":true,"correspondingAuthor":true,"equalContribution":false,"WBId":null,"orcid":"0000-0001-6110-8734"}],"awards":[],"conflictsOfInterest":"<p>The authors declare that there are no conflicts of interest present.</p>","dataTable":{"url":null},"extendedData":[],"funding":"<p>Funding to support undergraduate research was provided by the Richard King Mellon Foundation.</p>","image":{"url":"https://portal.micropublication.org/uploads/36c74a3fc459bae7594c6506356d23f1.jpg"},"imageCaption":"<p>Figure: Decomposition rates and equation fit for (A) jewelweed excluding macroinvertebrates, (B) Jewelweed including macroinvertebrates, (C) Japanese knotweed excluding macroinvertebrates, and (D) Japanese knotweed including macroinvertebrates.</p>","imageTitle":"<p>Decomposition curves for jewelweed and knotweed</p>","methods":"<p>Leaf collection and preparation</p><p>We&nbsp;collected pre-senescent (green) leaves from both species&nbsp;at the Center of Environmental Education and Research (CEER) at Susquehanna University in Selinsgrove, Pennsylvania. The leaves were cut from stalks at the&nbsp;petiole and air-dried in a climate-controlled space for two weeks, until remeasure of dry mass did not change over time. We filled leaf packs, both fine mesh (0.5&nbsp;mm) packs, which allowed for exclusion of macroinvertebrates, and coarse mesh (3.35&nbsp;mm) packs, which allowed for inclusion of macroinvertebrates, with approximately 5 g of dried leaves (5.0005&nbsp;-&nbsp;5.0859&nbsp;g) for deployment.</p><p>Study site</p><p>We deployed leaf packs in a spring-fed&nbsp;unnamed headwater stream&nbsp;to Chillisquaque Creek at&nbsp;the&nbsp;Bucknell University Natural Area (BUNA) in Milton, Pennsylvania, USA. The three riffles were 30 ±&nbsp;5 m apart and the&nbsp;streambed was&nbsp;primary&nbsp;composed of gravel and cobble.&nbsp;Leaf pack chains consisted of five packs for each treatment type placed in random order and location within each riffle to avoid potential for spatial bias. Packs were fully submerged underwater to ensure no movement and separated fully from each other to ensure no overlapping of individual packs. Packs were collected&nbsp;1,&nbsp;2, 4,&nbsp;6,&nbsp;and&nbsp;8&nbsp;weeks&nbsp;after original deployment on October 7<sup>th</sup>, 2025.</p><p>Sample processing</p><p>We washed leaf material in a 350 µm sieve to remove sediment and macroinvertebrates, then dried leaves at 75°C for two days.&nbsp;After recording dry weight, samples were homogenized in a Wiley Mini-Mill, with three 0.25 g subsamples of each pack (or maximum possible number of 0.25 g subsamples from remaining mass) ashed at 550°C for 1 hour, and mean organic content was used to calculate remaining AFDM. We compared this to initial AFDM for each leaf species to calculate proportion remaining by pack and collection date.</p>","reagents":"<p></p>","patternDescription":"<p>Leaf litterfall from riparian corridors is often the primary source of organic matter inputs into temperate headwater streams and critical to ecosystem function and food webs (Wallace et al., 2015). However, leaf litter decomposition rates vary widely in stream ecosystems, largely based on leaf quality (Leroy and Marks 2006), water temperature (Martínez et al., 2014), and biological processing (e.g., microbial and macroinvertebrate consumption; Webster and Benfield 1986). These processes and environmental conditions in conjunction influence the standing stocks of particulate organic matter in streams and the annual variability in allochthonous energy availability to food webs (e.g., Hare et al, 2024).</p><p>While there has been substantial research into processing of tree litterfall and how these influence stream functioning (Webster et al., 1995), there has been comparatively little research of herbaceous species. In addition, the influence of invasive species introductions, such as Japanese knotweed (<i>Reynoutria japonica</i>), are gaining attention for changing quality, quantity, and timing of inputs with the potential for cascading ecosystem effects (Robertson and Coll 2019; Cybill et al., 2020). However, because of the site-specificity in decomposition rates, it is difficult to generalize how replacement of native herbaceous species by invasives might alter decomposition rates without direct comparisons.</p><p>Our goal was to determine the difference in decomposition rates (<i>k</i>, day<sup>-1</sup>) between jewelweed (<i>Impatiens capensis</i>), an eastern North American native species, and <i>R. japonica</i>, a common riparian invasive of the same habitats. In addition, we compared these rates with inclusion or exclusion of macroinvertebrate shredders to separate the relative contributions of microbial and macroinvertebrate processing to <i>k</i>. We placed five, 5-gram leaf packs of each species with fine (0.5 mm) and coarse (3.35 mm) mesh in three riffles of a spring-fed headwater stream to Chillisquaque Creek in central Pennsylvania, USA. We collected one leaf pack from each treatment group and each riffle at one, two, four, six, and eight weeks post-placement in-stream on 7 October 2025 (n = 60). Post-collection, we rinsed leaves, oven-dried at 70ºC for 48 hours, ashed leave material at 550ºC for 60 minutes to measure ash free dry mass (AFDM), and calculated <i>k</i> based on proportion of AFDM remaining from each pack. We calculated decay curves and plotted results with base R and the ggplot2 package (R Core Team 2024; Wickham 2016). To test for significant differences in decay rates (as proportion mass remaining) between groups we used an analysis of covariance (ANCOVA) with collection date as a covariate and mesh size and leaf species as explanatory factors (i.e., leaf proportion remaining ~ mesh + species + collection date).</p><p>Overall, <i>I. capensis</i> in coarse leaf packs (allowing macroinvertebrate shredding) had dramatically faster decomposition than all other treatment groups, followed by fine mesh (excluding macroinvertebrates) for <i>I. capensis</i>, coarse mesh <i>R. japonica</i>, then fine mesh <i>R. japonica</i> (Figure 1). All groups were significantly different from each other with F<sub>1,67</sub> = 21.42 and p &lt;&lt; 0.001 for species; and F<sub>1,67</sub> = 10.17 and p = 0.002 for mesh size when including date as a covariate (overall model adjusted R<sup>2</sup> = 0.62, F<sub>3,67</sub> = 39.08, and p &lt;&lt; 0.001). While these decomposition rates<i> </i>are higher than typically reported in the literature, our stream temperature was warmer and cumulative degree day higher than the only study we have identified comparing <i>R. japonica</i> decomposition to another <i>Impatiens</i> species (<i>I. glandulifera</i>) which found a similar ratio between these species (5.1x faster for <i>Impatiens </i>vs 3.4-7.3x faster in our study), yet overall decomposition rates were an order of magnitude slower (Kuglerová et al., 2017). By comparison, weekly mean water temperatures in our experiment ranged between 5.22-14.21ºC while Kuglerová et al. (2017) had water temperatures considerably lower, between 1.5-10.6ºC. Patterns were also consistent between mesh sizes within species, as the inclusion of macroinvertebrate shredders with coarse leaf packs was expected to increase litter decomposition rates (Webster and Benfield 1986).</p><p>These results underscore the importance of local variability in decomposition rates while filling a knowledge gap to allow for comparison by ratio across studies and species (e.g. Kennedy and El‐Sabaawi 2017). This also highlights the importance of understanding herbaceous species decomposition and expanding study species in more open canopy systems.</p>","references":[{"reference":"<p>Cybill S, Soraya R, Jean-Nicolas B, Laurent H, Nicolas P, Isabelle C. 2020. Ecological implications of the replacement of native plant species in riparian systems: unexpected effects of Reynoutria japonica Houtt. leaf litter. Biological Invasions 22: 1917-1930.</p>","pubmedId":"","doi":"10.1007/s10530-020-02231-7"},{"reference":"<p>Hare DK, Helton AM, Cummins CS, Bumpers PM, Tomczyk NJ, Rogers PA, et al., Benstead. 2024. Leaf litter breakdown phenology in headwater stream networks is modulated by groundwater thermal regimes and litter type. Limnology and Oceanography Letters 9: 532-542.</p>","pubmedId":"","doi":"10.1002/lol2.10423"},{"reference":"<p>Kennedy KTM, El‐Sabaawi RW. 2017. A global meta‐analysis of exotic versus native leaf decay in stream ecosystems. Freshwater Biology 62: 977-989.</p>","pubmedId":"","doi":"10.1111/fwb.12918"},{"reference":"<p>Kuglerová L, García L, Pardo I, Mottiar Y, Richardson JS. 2017. Does leaf litter from invasive plants contribute the same support of a stream ecosystem function as native vegetation?. Ecosphere 8: 10.1002/ecs2.1779.</p>","pubmedId":"","doi":"10.1002/ecs2.1779"},{"reference":"<p>Leroy CJ, Marks JC. 2006. Litter quality, stream characteristics and litter diversity influence decomposition rates and macroinvertebrates. Freshwater Biology 51: 605-617.</p>","pubmedId":"","doi":"10.1111/j.1365-2427.2006.01512.x"},{"reference":"<p>Martínez A, Larrañaga A, Pérez J, Descals E, Pozo JS. 2013. Temperature affects leaf litter decomposition in low-order forest streams: field and microcosm approaches. FEMS Microbiology Ecology 87: 257-267.</p>","pubmedId":"","doi":"10.1111/1574-6941.12221"},{"reference":"<p>R Core Team. 2024. R: A Language and Environment for Statistical Computing_. R Foundation for Statistical Computing, Vienna, Austria. &lt;https://www.R-project.org/&gt;.</p>","pubmedId":"","doi":""},{"reference":"<p>Robertson DJ, Coll M. 2019. Effects of riparian invasive nonindigenous plants on freshwater quantity and ecological functioning in mesic temperate landscapes. Natural Areas Journal 39: 22.</p>","pubmedId":"","doi":"10.3375/043.039.0102"},{"reference":"<p>Wallace JB, Eggert SL, Meyer JL, Webster JR. 2015. Stream invertebrate productivity linked to forest subsidies: 37 stream‐years of reference and experimental data. Ecology 96: 1213-1228.</p>","pubmedId":"","doi":"10.1890/14-1589.1"},{"reference":"<p>Webster JR, Benfield EF. 1986. Vascular plant breakdown in freshwater ecosystems.&nbsp;Annual Review of Ecology and Systematics 17: 567-594.</p>","pubmedId":"","doi":"10.1146/annurev.es.17.110186.003031"},{"reference":"<p>Webster JR, Wallace JB, Benfield EF. 1995. Organic processes in streams of the eastern United States.&nbsp;River and Stream Ecosystems of the World: With a New Introduction, pp 117-187.</p>","pubmedId":"","doi":""},{"reference":"<p>Wickham H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York.</p>","pubmedId":"","doi":""}],"title":"<p>In-stream decomposition rates of Japanese knotweed (<i>Reynoutria japonica</i>) and jewelweed (<i>Impatiens capensis</i>) vary by inclusion or exclusion of macroinvertebrate shredders</p>","reviews":[],"curatorReviews":[]},{"id":"68ade240-7b99-4d3f-82a0-a2cfb3dbe059","decision":"publish","abstract":"<p>Leaf litter decomposition rates vary widely in stream ecosystems and understanding how decay over time (<i>k</i>) varies by species can be critical to estimating allochthonous inputs and temporal changes in energy availability in streams. We deployed leaf packs of Japanese knotweed (<i>Reynoutria japonica</i>) and jewelweed (<i>Impatiens capensis</i>) with fine (0.5 mm) and coarse (3.35 mm) mesh to exclude or include macroinvertebrate shredders, respectively, over an 8-week period. We found jewelweed decomposed 3-7 times faster than knotweed and jewelweed in coarse packs decomposed faster than any published stream litter rate. These results highlight the importance of understanding context-dependent herbaceous species decomposition.</p>","acknowledgements":"<p>We would like to thank Matt McTammany for site access, support, and lab equipment, as well as the Freshwater Research Institute at Susquehanna University.</p>","authors":[{"affiliations":["Susquehanna University"],"departments":["Ecology Program"],"credit":["conceptualization","dataCuration","formalAnalysis","methodology","writing_originalDraft","writing_reviewEditing"],"email":"llewellyna@susqu.edu","firstName":"Anne","lastName":"Llewellyn","submittingAuthor":false,"correspondingAuthor":false,"equalContribution":false,"WBId":null,"orcid":null},{"affiliations":["Susquehanna University, Selinsgrove, PA, US"],"departments":["Freshwater Research Institute"],"credit":["conceptualization","dataCuration","formalAnalysis","fundingAcquisition","investigation","methodology","project","resources","supervision","validation","visualization","writing_originalDraft","writing_reviewEditing"],"email":"wilsonmatt@susqu.edu","firstName":"Matthew","lastName":"Wilson","submittingAuthor":true,"correspondingAuthor":true,"equalContribution":false,"WBId":null,"orcid":"0000-0001-6110-8734"}],"awards":[],"conflictsOfInterest":"<p>The authors declare that there are no conflicts of interest present.</p>","dataTable":{"url":null},"extendedData":[],"funding":"<p>Funding to support undergraduate research was provided by the Richard King Mellon Foundation.</p>","image":{"url":"https://portal.micropublication.org/uploads/36c74a3fc459bae7594c6506356d23f1.jpg"},"imageCaption":"<p>Figure: Decomposition rates and equation fit for (A) jewelweed excluding macroinvertebrates, (B) Jewelweed including macroinvertebrates, (C) Japanese knotweed excluding macroinvertebrates, and (D) Japanese knotweed including macroinvertebrates.</p>","imageTitle":"<p>Decomposition curves for jewelweed and knotweed</p>","methods":"<p>Leaf collection and preparation</p><p>We&nbsp;collected pre-senescent (green) leaves from both species&nbsp;at the Center of Environmental Education and Research (CEER) at Susquehanna University in Selinsgrove, Pennsylvania. The leaves were cut from stalks at the&nbsp;petiole and air-dried in a climate-controlled space for two weeks, until remeasure of dry mass did not change over time. We filled leaf packs, both fine mesh (0.5&nbsp;mm) packs, which allowed for exclusion of macroinvertebrates, and coarse mesh (3.35&nbsp;mm) packs, which allowed for inclusion of macroinvertebrates, with approximately 5 g of dried leaves (5.0005&nbsp;-&nbsp;5.0859&nbsp;g) for deployment.</p><p>Study site</p><p>We deployed leaf packs in a spring-fed&nbsp;unnamed headwater stream&nbsp;to Chillisquaque Creek at&nbsp;the&nbsp;Bucknell University Natural Area (BUNA) in Milton, Pennsylvania, USA. The three riffles were 30 ±&nbsp;5 m apart and the&nbsp;streambed was&nbsp;primary&nbsp;composed of gravel and cobble.&nbsp;Leaf pack chains consisted of five packs for each treatment type placed in random order and location within each riffle to avoid potential for spatial bias. Packs were fully submerged underwater to ensure no movement and separated fully from each other to ensure no overlapping of individual packs. Packs were collected&nbsp;1,&nbsp;2, 4,&nbsp;6,&nbsp;and&nbsp;8&nbsp;weeks&nbsp;after original deployment on October 7<sup>th</sup>, 2025.</p><p>Sample processing</p><p>We washed leaf material in a 350 µm sieve to remove sediment and macroinvertebrates, then dried leaves at 70°C for two days.&nbsp;After recording dry weight, samples were homogenized in a Wiley Mini-Mill, with three 0.25 g subsamples of each pack (or maximum possible number of 0.25 g subsamples from remaining mass) ashed at 550°C for 1 hour, and mean organic content was used to calculate remaining AFDM. We compared this to initial AFDM for each leaf species to calculate proportion remaining by pack and collection date.</p>","reagents":"<p></p>","patternDescription":"<p>Leaf litterfall from riparian corridors is often the primary source of organic matter inputs into temperate headwater streams and critical to ecosystem function and food webs (Wallace et al., 2015). However, leaf litter decomposition rates vary widely in stream ecosystems, largely based on leaf quality (Leroy and Marks 2006), water temperature (Martínez et al., 2014), and biological processing (e.g., microbial and macroinvertebrate consumption; Webster and Benfield 1986). These processes and environmental conditions in conjunction influence the standing stocks of particulate organic matter in streams and the annual variability in allochthonous energy availability to food webs (e.g., Hare et al, 2024).</p><p>While there has been substantial research into processing of tree litterfall and how these influence stream functioning (Webster et al., 1995), there has been comparatively little research of herbaceous species. In addition, the influence of invasive species introductions, such as Japanese knotweed (<i>Reynoutria japonica</i>), are gaining attention for changing quality, quantity, and timing of inputs with the potential for cascading ecosystem effects (Robertson and Coll 2019; Cybill et al., 2020). However, because of the site-specificity in decomposition rates, it is difficult to generalize how replacement of native herbaceous species by invasives might alter decomposition rates without direct comparisons.</p><p>Our goal was to determine the difference in decomposition rates (<i>k</i>, day<sup>-1</sup>) between jewelweed (<i>Impatiens capensis</i>), an eastern North American native species, and <i>R. japonica</i>, a common riparian invasive of the same habitats. In addition, we compared these rates with inclusion or exclusion of macroinvertebrate shredders to separate the relative contributions of microbial and macroinvertebrate processing to <i>k</i>. We placed five, 5-gram leaf packs of each species with fine (0.5 mm) and coarse (3.35 mm) mesh in three riffles of a spring-fed headwater stream to Chillisquaque Creek in central Pennsylvania, USA. We collected one leaf pack from each treatment group and each riffle at one, two, four, six, and eight weeks post-placement in-stream on 7 October 2025 (n = 60). Post-collection, we rinsed leaves, oven-dried at 70ºC for 48 hours, ashed leave material at 550ºC for 60 minutes to measure ash free dry mass (AFDM), and calculated <i>k</i> based on proportion of AFDM remaining from each pack. We calculated decay curves and plotted results with base R and the ggplot2 package (R Core Team 2024; Wickham 2016). To test for significant differences in decay rates (as proportion mass remaining) between groups we used an analysis of covariance (ANCOVA) with collection date as a covariate and mesh size and leaf species as explanatory factors (i.e., leaf proportion remaining ~ mesh + species + collection date).</p><p>Overall, <i>I. capensis</i> in coarse leaf packs (allowing macroinvertebrate shredding) had dramatically faster decomposition than all other treatment groups, followed by fine mesh (excluding macroinvertebrates) for <i>I. capensis</i>, coarse mesh <i>R. japonica</i>, then fine mesh <i>R. japonica</i> (Figure 1). All groups were significantly different from each other with F<sub>1,67</sub> = 21.42 and p &lt;&lt; 0.001 for species; and F<sub>1,67</sub> = 10.17 and p = 0.002 for mesh size when including date as a covariate (overall model adjusted R<sup>2</sup> = 0.62, F<sub>3,67</sub> = 39.08, and p &lt;&lt; 0.001). While these decomposition rates<i> </i>are higher than typically reported in the literature, our stream temperature was warmer and cumulative degree day higher than the only study we have identified comparing <i>R. japonica</i> decomposition to another <i>Impatiens</i> species (<i>I. glandulifera</i>) which found a similar ratio between these species (5.1x faster for <i>Impatiens </i>vs 3.4-7.3x faster in our study), yet overall decomposition rates were an order of magnitude slower (Kuglerová et al., 2017). By comparison, weekly mean water temperatures in our experiment ranged between 5.22-14.21ºC while Kuglerová et al. (2017) had water temperatures considerably lower, between 1.5-10.6ºC. Patterns were also consistent between mesh sizes within species, as the inclusion of macroinvertebrate shredders with coarse leaf packs was expected to increase litter decomposition rates (Webster and Benfield 1986).</p><p>These results underscore the importance of local variability in decomposition rates while filling a knowledge gap to allow for comparison by ratio across studies and species (e.g. Kennedy and El‐Sabaawi 2017). This also highlights the importance of understanding herbaceous species decomposition and expanding study species in more open canopy systems.</p>","references":[{"reference":"<p>Cybill S, Soraya R, Jean-Nicolas B, Laurent H, Nicolas P, Isabelle C. 2020. Ecological implications of the replacement of native plant species in riparian systems: unexpected effects of Reynoutria japonica Houtt. leaf litter. Biological Invasions 22: 1917-1930.</p>","pubmedId":"","doi":"10.1007/s10530-020-02231-7"},{"reference":"<p>Hare DK, Helton AM, Cummins CS, Bumpers PM, Tomczyk NJ, Rogers PA, et al., Benstead. 2024. Leaf litter breakdown phenology in headwater stream networks is modulated by groundwater thermal regimes and litter type. Limnology and Oceanography Letters 9: 532-542.</p>","pubmedId":"","doi":"10.1002/lol2.10423"},{"reference":"<p>Kennedy KTM, El‐Sabaawi RW. 2017. A global meta‐analysis of exotic versus native leaf decay in stream ecosystems. Freshwater Biology 62: 977-989.</p>","pubmedId":"","doi":"10.1111/fwb.12918"},{"reference":"<p>Kuglerová L, García L, Pardo I, Mottiar Y, Richardson JS. 2017. Does leaf litter from invasive plants contribute the same support of a stream ecosystem function as native vegetation?. Ecosphere 8: 10.1002/ecs2.1779.</p>","pubmedId":"","doi":"10.1002/ecs2.1779"},{"reference":"<p>Leroy CJ, Marks JC. 2006. Litter quality, stream characteristics and litter diversity influence decomposition rates and macroinvertebrates. Freshwater Biology 51: 605-617.</p>","pubmedId":"","doi":"10.1111/j.1365-2427.2006.01512.x"},{"reference":"<p>Martínez A, Larrañaga A, Pérez J, Descals E, Pozo JS. 2013. Temperature affects leaf litter decomposition in low-order forest streams: field and microcosm approaches. FEMS Microbiology Ecology 87: 257-267.</p>","pubmedId":"","doi":"10.1111/1574-6941.12221"},{"reference":"<p>R Core Team. 2024. R: A Language and Environment for Statistical Computing_. R Foundation for Statistical Computing, Vienna, Austria. &lt;https://www.R-project.org/&gt;.</p>","pubmedId":"","doi":""},{"reference":"<p>Robertson DJ, Coll M. 2019. Effects of riparian invasive nonindigenous plants on freshwater quantity and ecological functioning in mesic temperate landscapes. Natural Areas Journal 39: 22.</p>","pubmedId":"","doi":"10.3375/043.039.0102"},{"reference":"<p>Wallace JB, Eggert SL, Meyer JL, Webster JR. 2015. Stream invertebrate productivity linked to forest subsidies: 37 stream‐years of reference and experimental data. Ecology 96: 1213-1228.</p>","pubmedId":"","doi":"10.1890/14-1589.1"},{"reference":"<p>Webster JR, Benfield EF. 1986. Vascular plant breakdown in freshwater ecosystems.&nbsp;Annual Review of Ecology and Systematics 17: 567-594.</p>","pubmedId":"","doi":"10.1146/annurev.es.17.110186.003031"},{"reference":"<p>Webster JR, Wallace JB, Benfield EF. 1995. Organic processes in streams of the eastern United States.&nbsp;River and Stream Ecosystems of the World: With a New Introduction, pp 117-187.</p>","pubmedId":"","doi":""},{"reference":"<p>Wickham H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York.</p>","pubmedId":"","doi":""}],"title":"<p>In-stream decomposition rates of Japanese knotweed (<i>Reynoutria japonica</i>) and jewelweed (<i>Impatiens capensis</i>) vary by inclusion or exclusion of macroinvertebrate shredders</p>","reviews":[],"curatorReviews":[]}]}},"species":{"species":[{"value":"acer saccharum","label":"Acer saccharum","imageSrc":"","imageAlt":"","mod":"TreeGenes","modLink":"https://treegenesdb.org","linkVariable":""},{"value":"achillea millefolium","label":"Achillea millefolium","imageSrc":"","imageAlt":"","mod":"","modLink":"","linkVariable":""},{"value":"acinetobacter baylyi","label":"Acinetobacter baylyi","imageSrc":"","imageAlt":"","mod":"","modLink":"","linkVariable":""},{"value":"actinobacteria bacterium","label":"Actinobacteria bacterium","imageSrc":"","imageAlt":"","mod":"","modLink":"","linkVariable":""},{"value":"adelges tsugae","label":"Adelges 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