Julie E. Larson, Dylan F. Neuhaus, Stella M. Copeland
Plant recruitment is shaped by functioning across seed and seedling stages. Because seed morphology and germination directly influence seedling exposure to resources and environment, these two stages may be linked through trait synergies and trade‐offs that coordinate functioning through early ontogeny. However, the wide range of traits impacting environmental response at each ontogenetic stage are rarely explored in tandem to understand the potential dimensionality of the functional recruitment niche.We explored covariation among 13 seed and seedling traits linked to stress tolerance, rate of germination or growth, light response, temperature response and other functions for 49 species found in semi‐arid rangelands. Using phylogenetically informed ordination and cluster analysis, we asked how trait covariation across multiple ontogenetic stages and functions shapes the dimensionality of the functional recruitment niche.The first two trait dimensions identified at separate seed and seedling stages aligned, providing some basis for ontogenetic coordination during recruitment. Morphological traits reflecting size‐related stress tolerance (i.e. seed and seedling mass) formed the strongest foundation for coordination across stages, sharing ties with traits reflecting seedling light response (specific leaf area), growth rate (root elongation) and seed temperature response (e.g. germination minimum temperature). We also observed an unexpected trade‐off in how seeds and seedlings may avoid risk (through dormancy) or tolerate risk (through root investment), respectively.In contrast, seed light response, seed germination rate and seedling minimum temperature thresholds were not tightly linked to analogous functions at other stages. Their independence could expand the dimensionality of the recruitment niche depending on the functional significance of these traits in the field.Synthesis. Seed and seedling stages are characterized by multiple, independent dimensions of functioning, but ontogenetic coordination may moderate increasing dimensionality of the functional recruitment niche as a wider breadth of traits are explored together. At the same time, physiological traits linked to environmental response appear less connected to other traits and could complexify spatiotemporal recruitment dynamics. Both the independent and coordinated aspects of functioning observed here deserve exploration across a broader range of species, traits and environments to understand the full dimensionality of the functional recruitment niche.
{"title":"Seed and seedling traits suggest ontogenetic coordination in the functional recruitment niche for dryland restoration species","authors":"Julie E. Larson, Dylan F. Neuhaus, Stella M. Copeland","doi":"10.1111/1365-2745.70005","DOIUrl":"https://doi.org/10.1111/1365-2745.70005","url":null,"abstract":"<jats:list> <jats:list-item>Plant recruitment is shaped by functioning across seed and seedling stages. Because seed morphology and germination directly influence seedling exposure to resources and environment, these two stages may be linked through trait synergies and trade‐offs that coordinate functioning through early ontogeny. However, the wide range of traits impacting environmental response at each ontogenetic stage are rarely explored in tandem to understand the potential dimensionality of the functional recruitment niche.</jats:list-item> <jats:list-item>We explored covariation among 13 seed and seedling traits linked to stress tolerance, rate of germination or growth, light response, temperature response and other functions for 49 species found in semi‐arid rangelands. Using phylogenetically informed ordination and cluster analysis, we asked how trait covariation across multiple ontogenetic stages and functions shapes the dimensionality of the functional recruitment niche.</jats:list-item> <jats:list-item>The first two trait dimensions identified at separate seed and seedling stages aligned, providing some basis for ontogenetic coordination during recruitment. Morphological traits reflecting size‐related stress tolerance (i.e. seed and seedling mass) formed the strongest foundation for coordination across stages, sharing ties with traits reflecting seedling light response (specific leaf area), growth rate (root elongation) and seed temperature response (e.g. germination minimum temperature). We also observed an unexpected trade‐off in how seeds and seedlings may avoid risk (through dormancy) or tolerate risk (through root investment), respectively.</jats:list-item> <jats:list-item>In contrast, seed light response, seed germination rate and seedling minimum temperature thresholds were not tightly linked to analogous functions at other stages. Their independence could expand the dimensionality of the recruitment niche depending on the functional significance of these traits in the field.</jats:list-item> <jats:list-item><jats:italic>Synthesis</jats:italic>. Seed and seedling stages are characterized by multiple, independent dimensions of functioning, but ontogenetic coordination may moderate increasing dimensionality of the functional recruitment niche as a wider breadth of traits are explored together. At the same time, physiological traits linked to environmental response appear less connected to other traits and could complexify spatiotemporal recruitment dynamics. Both the independent and coordinated aspects of functioning observed here deserve exploration across a broader range of species, traits and environments to understand the full dimensionality of the functional recruitment niche.</jats:list-item> </jats:list>","PeriodicalId":191,"journal":{"name":"Journal of Ecology","volume":"22 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143599903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiao-Long Li, Jun Zhou, Hong-Qiu Du, Fei Peng, Hongtao Zhong, Yanhong Wu, Ji Luo, Shouqin Sun, Yue-Xin Ming, Hongyang Sun, Yang Chen, Jun Wasaki, Hans Lambers
<h2>1 INTRODUCTION</h2><p>Understanding species replacement is crucial to unravel the mechanisms underlying plant community succession (Buma et al., <span>2017</span>; Cantera et al., <span>2024</span>), which has been a challenge in ecology for decades. Plant species replacement during primary succession can be related to ecological processes, such as light competition (Buma et al., <span>2019</span>), accumulation of plant-specific soil pathogens (Van der Putten et al., <span>1993</span>), allelopathy (Chapin et al., <span>1994</span>) and discrepancies in responding to varying nutrient availability (Tilman, <span>1985</span>). Nitrogen (N) and phosphorus (P) limitation commonly occur in terrestrial ecosystems (Oldroyd & Leyser, <span>2020</span>). Plants have evolved an array of nutrient-acquisition strategies (NAS) responding to varying availability and forms of soil nutrients along chronosequences (Lambers et al., <span>2008</span>; Zemunik et al., <span>2015</span>). Although plant NAS change with soil nutrient availability and affect plant community composition (Johnson et al., <span>2023</span>; Lambers et al., <span>2008</span>; Li et al., <span>2021</span>; Zemunik et al., <span>2015</span>), their roles in affecting plant species replacement during primary succession still remain unclear.</p><p>Plant NAS can be classified into different groups according to their ability to acquire different nutrient forms, that is scavenging, mining and N<sub>2</sub>-fixing strategies (Lambers et al., <span>2008</span>). Scavenging strategies acquire plant-available nutrients from soil by adjusting fine root morphology and symbioses associated with arbuscular mycorrhizal (AM), ericoid and ectomycorrhizal (ECM) fungi. In contrast, mining strategies involve mobilizing and taking up unavailable nutrients, including sparingly soluble phosphate (e.g., calcium phosphate) by releasing carboxylates and protons and organic N and P by exuding hydrolytic enzymes. N<sub>2</sub>-fixing strategies involve fixing atmospheric N<sub>2</sub> via symbiotic nodules and rhizothamnia. Actinorhizal plants are generally able to mine soil P via cluster roots and acquire N by rhizothamnia (Shane & Lambers, <span>2005</span>). Ectomycorrhizal plants may simultaneously employ both strategies, as ECM fungi extend hyphae to scavenge soil nutrients while also mining nutrients through the secretion of carboxylates and enzymes by ECM fungi or associated bacteria (Landeweert et al., <span>2001</span>; Yuan et al., <span>2024</span>). The trade-offs among these strategies are contingent upon soil nutrient availability (Cao et al., <span>2024</span>).</p><p>Previous studies on the relationship between plant NAS and species replacement were mainly conducted along chronosequences spanning thousands to hundreds of thousands of years (Holdaway et al., <span>2011</span>; Zemunik et al., <span>2015</span>). For example, the diversity of plant NAS is considered to play a critical rol
{"title":"Plant nutrient-acquisition strategies contribute to species replacement during primary succession","authors":"Xiao-Long Li, Jun Zhou, Hong-Qiu Du, Fei Peng, Hongtao Zhong, Yanhong Wu, Ji Luo, Shouqin Sun, Yue-Xin Ming, Hongyang Sun, Yang Chen, Jun Wasaki, Hans Lambers","doi":"10.1111/1365-2745.70017","DOIUrl":"https://doi.org/10.1111/1365-2745.70017","url":null,"abstract":"<h2>1 INTRODUCTION</h2>\u0000<p>Understanding species replacement is crucial to unravel the mechanisms underlying plant community succession (Buma et al., <span>2017</span>; Cantera et al., <span>2024</span>), which has been a challenge in ecology for decades. Plant species replacement during primary succession can be related to ecological processes, such as light competition (Buma et al., <span>2019</span>), accumulation of plant-specific soil pathogens (Van der Putten et al., <span>1993</span>), allelopathy (Chapin et al., <span>1994</span>) and discrepancies in responding to varying nutrient availability (Tilman, <span>1985</span>). Nitrogen (N) and phosphorus (P) limitation commonly occur in terrestrial ecosystems (Oldroyd & Leyser, <span>2020</span>). Plants have evolved an array of nutrient-acquisition strategies (NAS) responding to varying availability and forms of soil nutrients along chronosequences (Lambers et al., <span>2008</span>; Zemunik et al., <span>2015</span>). Although plant NAS change with soil nutrient availability and affect plant community composition (Johnson et al., <span>2023</span>; Lambers et al., <span>2008</span>; Li et al., <span>2021</span>; Zemunik et al., <span>2015</span>), their roles in affecting plant species replacement during primary succession still remain unclear.</p>\u0000<p>Plant NAS can be classified into different groups according to their ability to acquire different nutrient forms, that is scavenging, mining and N<sub>2</sub>-fixing strategies (Lambers et al., <span>2008</span>). Scavenging strategies acquire plant-available nutrients from soil by adjusting fine root morphology and symbioses associated with arbuscular mycorrhizal (AM), ericoid and ectomycorrhizal (ECM) fungi. In contrast, mining strategies involve mobilizing and taking up unavailable nutrients, including sparingly soluble phosphate (e.g., calcium phosphate) by releasing carboxylates and protons and organic N and P by exuding hydrolytic enzymes. N<sub>2</sub>-fixing strategies involve fixing atmospheric N<sub>2</sub> via symbiotic nodules and rhizothamnia. Actinorhizal plants are generally able to mine soil P via cluster roots and acquire N by rhizothamnia (Shane & Lambers, <span>2005</span>). Ectomycorrhizal plants may simultaneously employ both strategies, as ECM fungi extend hyphae to scavenge soil nutrients while also mining nutrients through the secretion of carboxylates and enzymes by ECM fungi or associated bacteria (Landeweert et al., <span>2001</span>; Yuan et al., <span>2024</span>). The trade-offs among these strategies are contingent upon soil nutrient availability (Cao et al., <span>2024</span>).</p>\u0000<p>Previous studies on the relationship between plant NAS and species replacement were mainly conducted along chronosequences spanning thousands to hundreds of thousands of years (Holdaway et al., <span>2011</span>; Zemunik et al., <span>2015</span>). For example, the diversity of plant NAS is considered to play a critical rol","PeriodicalId":191,"journal":{"name":"Journal of Ecology","volume":"190 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143532509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Rhizobia mutualists contribute to phylogenetic clustering and legume community assembly globally","authors":"Anna K. Simonsen, Russell Dinnage","doi":"10.1111/1365-2745.70015","DOIUrl":"https://doi.org/10.1111/1365-2745.70015","url":null,"abstract":"<h2> CONFLICT OF INTEREST STATEMENT</h2>\u0000<p>The authors declare no conflicts of interest.</p>","PeriodicalId":191,"journal":{"name":"Journal of Ecology","volume":"1 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143532508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Camila D. Medeiros, Santiago Trueba, Christian Henry, Leila R. Fletcher, James A. Lutz, Rodrigo Méndez Alonzo, Nathan J. B. Kraft, Lawren Sack
<h2>1 INTRODUCTION</h2><p>Functional traits are characteristics that influence organism vital rates and thereby fitness (Lavorel & Garnier, <span>2002</span>; Medeiros et al., <span>2019</span>; Poorter et al., <span>2008</span>; Violle et al., <span>2007</span>), and they have long been used to predict species distributions (Engelbrecht et al., <span>2007</span>; Stahl et al., <span>2014</span>; Thuiller et al., <span>2004</span>), community composition (Cavender-Bares et al., <span>2004</span>) and responses to changing climates (Tordoni et al., <span>2022</span>; Trugman et al., <span>2019</span>, <span>2020</span>), with applications in species and ecosystem management (Carlucci et al., <span>2020</span>; Foden et al., <span>2013</span>; Loiseau et al., <span>2020</span>). Much research has focused on using small sets of traits to estimate plant ‘strategies’, ‘axes’ or ‘dimensions’ of function (Díaz et al., <span>2004</span>, <span>2016</span>; Funk et al., <span>2017</span>; Grime, <span>1979</span>; Lavorel & Garnier, <span>2002</span>; Maynard et al., <span>2022</span>; Westoby, <span>1998</span>; Wright et al., <span>2004</span>). Yet, recent work highlights the enormous promise of considering extensive sets of traits and their associations across species (Belluau & Shipley, <span>2018</span>; Fletcher et al., <span>2018</span>; Grubb, <span>2016</span>; He et al., <span>2020</span>; Medeiros et al., <span>2019</span>; Messier et al., <span>2017</span>; Poorter et al., <span>2014</span>; Sack et al., <span>2013</span>; Sack & Buckley, <span>2020</span>). New approaches have emerged to quantify ‘phenotypic integration’ within and among species, in terms of the network connectivity (i.e. the degree the traits that are correlated to each other) and network complexity (i.e. the number of structure–function modules) of the overall web formed by trait–trait relationships (He et al., <span>2020</span>; Li et al., <span>2022</span>; Messier et al., <span>2017</span>).</p><p>The analysis of plant trait networks, henceforth PTNs, enables quantification of the overall architecture of the interconnected web of traits that underlie functional strategies of populations, species or communities, providing a means of integrating trait function at higher scales (Fontana et al., <span>2021</span>; He et al., <span>2020</span>; Li et al., <span>2022</span>; Messier et al., <span>2017</span>; Rao et al., <span>2023</span>). Networks built with nodes and edges are based in graph theory with applications across fields of science (Brooks et al., <span>2020</span>; Markett et al., <span>2018</span>; Salt et al., <span>2008</span>; Tompson et al., <span>2018</span>), including, recently, trait ecology (Boisseaux et al., <span>2025</span>; Flores-Moreno et al., <span>2019</span>; He et al., <span>2020</span>; Kleyer et al., <span>2019</span>; Li et al., <span>2021</span>, <span>2022</span>; Messier et al., <span>2017</span>; Rao et al., <span>2023
{"title":"Simplification of woody plant trait networks among communities along a climatic aridity gradient","authors":"Camila D. Medeiros, Santiago Trueba, Christian Henry, Leila R. Fletcher, James A. Lutz, Rodrigo Méndez Alonzo, Nathan J. B. Kraft, Lawren Sack","doi":"10.1111/1365-2745.70010","DOIUrl":"https://doi.org/10.1111/1365-2745.70010","url":null,"abstract":"<h2>1 INTRODUCTION</h2>\u0000<p>Functional traits are characteristics that influence organism vital rates and thereby fitness (Lavorel & Garnier, <span>2002</span>; Medeiros et al., <span>2019</span>; Poorter et al., <span>2008</span>; Violle et al., <span>2007</span>), and they have long been used to predict species distributions (Engelbrecht et al., <span>2007</span>; Stahl et al., <span>2014</span>; Thuiller et al., <span>2004</span>), community composition (Cavender-Bares et al., <span>2004</span>) and responses to changing climates (Tordoni et al., <span>2022</span>; Trugman et al., <span>2019</span>, <span>2020</span>), with applications in species and ecosystem management (Carlucci et al., <span>2020</span>; Foden et al., <span>2013</span>; Loiseau et al., <span>2020</span>). Much research has focused on using small sets of traits to estimate plant ‘strategies’, ‘axes’ or ‘dimensions’ of function (Díaz et al., <span>2004</span>, <span>2016</span>; Funk et al., <span>2017</span>; Grime, <span>1979</span>; Lavorel & Garnier, <span>2002</span>; Maynard et al., <span>2022</span>; Westoby, <span>1998</span>; Wright et al., <span>2004</span>). Yet, recent work highlights the enormous promise of considering extensive sets of traits and their associations across species (Belluau & Shipley, <span>2018</span>; Fletcher et al., <span>2018</span>; Grubb, <span>2016</span>; He et al., <span>2020</span>; Medeiros et al., <span>2019</span>; Messier et al., <span>2017</span>; Poorter et al., <span>2014</span>; Sack et al., <span>2013</span>; Sack & Buckley, <span>2020</span>). New approaches have emerged to quantify ‘phenotypic integration’ within and among species, in terms of the network connectivity (i.e. the degree the traits that are correlated to each other) and network complexity (i.e. the number of structure–function modules) of the overall web formed by trait–trait relationships (He et al., <span>2020</span>; Li et al., <span>2022</span>; Messier et al., <span>2017</span>).</p>\u0000<p>The analysis of plant trait networks, henceforth PTNs, enables quantification of the overall architecture of the interconnected web of traits that underlie functional strategies of populations, species or communities, providing a means of integrating trait function at higher scales (Fontana et al., <span>2021</span>; He et al., <span>2020</span>; Li et al., <span>2022</span>; Messier et al., <span>2017</span>; Rao et al., <span>2023</span>). Networks built with nodes and edges are based in graph theory with applications across fields of science (Brooks et al., <span>2020</span>; Markett et al., <span>2018</span>; Salt et al., <span>2008</span>; Tompson et al., <span>2018</span>), including, recently, trait ecology (Boisseaux et al., <span>2025</span>; Flores-Moreno et al., <span>2019</span>; He et al., <span>2020</span>; Kleyer et al., <span>2019</span>; Li et al., <span>2021</span>, <span>2022</span>; Messier et al., <span>2017</span>; Rao et al., <span>2023","PeriodicalId":191,"journal":{"name":"Journal of Ecology","volume":"32 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143495777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
There is no conflict of interest. Yong Zhou is an Associate Editor of the Journal of Ecology, but took no part in the peer review and decision-making processes for this paper.
{"title":"Root trait (multi)functionality in savanna trees: Progress and challenges","authors":"Yong Zhou, Madelon F. Case, A. Carla Staver","doi":"10.1111/1365-2745.70016","DOIUrl":"https://doi.org/10.1111/1365-2745.70016","url":null,"abstract":"<h2> CONFLICT OF INTEREST STATEMENT</h2>\u0000<p>There is no conflict of interest. Yong Zhou is an Associate Editor of the <i>Journal of Ecology</i>, but took no part in the peer review and decision-making processes for this paper.</p>","PeriodicalId":191,"journal":{"name":"Journal of Ecology","volume":"86 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143518146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rihan Da, Huaijiang He, Zhonghui Zhang, Xiuhai Zhao, Klaus von Gadow, Chunyu Zhang
CONFLICT OF INTEREST STATEMENT
The authors declare no conflict of interest.
{"title":"Leaf and root economics space in Fraxinus mandshurica: A test of the multidimensional trait framework within species","authors":"Rihan Da, Huaijiang He, Zhonghui Zhang, Xiuhai Zhao, Klaus von Gadow, Chunyu Zhang","doi":"10.1111/1365-2745.70018","DOIUrl":"https://doi.org/10.1111/1365-2745.70018","url":null,"abstract":"<h2> CONFLICT OF INTEREST STATEMENT</h2>\u0000<p>The authors declare no conflict of interest.</p>","PeriodicalId":191,"journal":{"name":"Journal of Ecology","volume":"129 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143485901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ana Patricia Sandoval-Calderon, Maarten J. J. Meijer, Shaopeng Wang, Marijke van Kuijk, Pita Verweij, Yann Hautier
<h2>1 INTRODUCTION</h2><p>Grazing by herbivores is a key factor shaping the biodiversity, functioning and stability of grassland ecosystems worldwide (Eskelinen et al., <span>2022</span>; Olff & Ritchie, <span>1998</span>; Wang et al., <span>2019</span>). Earlier research has demonstrated that while grazing may lead to either increases (Eskelinen et al., <span>2022</span>) or decreases (Sandoval-Calderon et al., <span>2024</span>) in local plant diversity, contingent upon the nature and extent of grazing pressure, it usually leads to a reduction in plant biomass (Milchunas et al., <span>1988</span>). Additionally, these changes can arise via indirect effects of herbivores on the amount and distribution of soil nutrients via litter, dung and urine, as well as influencing soil compaction, erosion, organic matter redistribution, pH and hydrological processes (Eldridge & Delgado-Baquerizo, <span>2017</span>; Eskelinen et al., <span>2022</span>). Consequently, both plant diversity and biomass undergo dynamic changes with increasing grazing intensities, potentially influencing the temporal stability of these ecosystems (Ganjurjav et al., <span>2016</span>; Hautier et al., <span>2015</span>; Liang et al., <span>2021</span>; Qin et al., <span>2016</span>).</p><p>The temporal stability of productivity, measured as the temporal mean of productivity divided by its standard deviation, has been the centre of ecological research in the last decades (Hautier et al., <span>2014</span>; Hautier & van der Plas, <span>2022</span>; Hector et al., <span>2010</span>; Tilman et al., <span>2006</span>). It indicates an ecosystem's capacity to sustain consistent biomass production across different years despite environmental fluctuations (Wilcox et al., <span>2017</span>). Recently, a mounting body of studies has explored the influence of grazing on the stability of grassland communities (Chen et al., <span>2022</span>; Liang et al., <span>2021</span>; Qin et al., <span>2019</span>; Song et al., <span>2020</span>). Results from these studies are mixed, with evidence of positive (e.g. Hallett et al., <span>2017</span>), neutral (e.g. Bluthgen et al., <span>2016</span>) or negative (e.g. Qin et al., <span>2019</span>) impacts. A recent study proposes that these seemingly contradictory results can be explained by the impact of grazing on plant diversity (Liang et al., <span>2021</span>). That is, in line with numerous studies demonstrating that biodiversity enhances temporal stability (Hautier et al., <span>2015</span>, <span>2020</span>; Isbell et al., <span>2015</span>; Tilman et al., <span>2006</span>), grazing should decrease stability when it decreases plant diversity and vice versa.</p><p>However, these studies have traditionally been based on experimental manipulation of herbivores, focusing on plant responses at the local scale. While these experiments allow establishing the causal effects of herbivores on plant diversity and functional stability, the
{"title":"Andean grassland stability across spatial scales increases with camelid grazing intensity despite biotic homogenization","authors":"Ana Patricia Sandoval-Calderon, Maarten J. J. Meijer, Shaopeng Wang, Marijke van Kuijk, Pita Verweij, Yann Hautier","doi":"10.1111/1365-2745.70012","DOIUrl":"https://doi.org/10.1111/1365-2745.70012","url":null,"abstract":"<h2>1 INTRODUCTION</h2>\u0000<p>Grazing by herbivores is a key factor shaping the biodiversity, functioning and stability of grassland ecosystems worldwide (Eskelinen et al., <span>2022</span>; Olff & Ritchie, <span>1998</span>; Wang et al., <span>2019</span>). Earlier research has demonstrated that while grazing may lead to either increases (Eskelinen et al., <span>2022</span>) or decreases (Sandoval-Calderon et al., <span>2024</span>) in local plant diversity, contingent upon the nature and extent of grazing pressure, it usually leads to a reduction in plant biomass (Milchunas et al., <span>1988</span>). Additionally, these changes can arise via indirect effects of herbivores on the amount and distribution of soil nutrients via litter, dung and urine, as well as influencing soil compaction, erosion, organic matter redistribution, pH and hydrological processes (Eldridge & Delgado-Baquerizo, <span>2017</span>; Eskelinen et al., <span>2022</span>). Consequently, both plant diversity and biomass undergo dynamic changes with increasing grazing intensities, potentially influencing the temporal stability of these ecosystems (Ganjurjav et al., <span>2016</span>; Hautier et al., <span>2015</span>; Liang et al., <span>2021</span>; Qin et al., <span>2016</span>).</p>\u0000<p>The temporal stability of productivity, measured as the temporal mean of productivity divided by its standard deviation, has been the centre of ecological research in the last decades (Hautier et al., <span>2014</span>; Hautier & van der Plas, <span>2022</span>; Hector et al., <span>2010</span>; Tilman et al., <span>2006</span>). It indicates an ecosystem's capacity to sustain consistent biomass production across different years despite environmental fluctuations (Wilcox et al., <span>2017</span>). Recently, a mounting body of studies has explored the influence of grazing on the stability of grassland communities (Chen et al., <span>2022</span>; Liang et al., <span>2021</span>; Qin et al., <span>2019</span>; Song et al., <span>2020</span>). Results from these studies are mixed, with evidence of positive (e.g. Hallett et al., <span>2017</span>), neutral (e.g. Bluthgen et al., <span>2016</span>) or negative (e.g. Qin et al., <span>2019</span>) impacts. A recent study proposes that these seemingly contradictory results can be explained by the impact of grazing on plant diversity (Liang et al., <span>2021</span>). That is, in line with numerous studies demonstrating that biodiversity enhances temporal stability (Hautier et al., <span>2015</span>, <span>2020</span>; Isbell et al., <span>2015</span>; Tilman et al., <span>2006</span>), grazing should decrease stability when it decreases plant diversity and vice versa.</p>\u0000<p>However, these studies have traditionally been based on experimental manipulation of herbivores, focusing on plant responses at the local scale. While these experiments allow establishing the causal effects of herbivores on plant diversity and functional stability, the","PeriodicalId":191,"journal":{"name":"Journal of Ecology","volume":"34 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143477885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Janna Wambsganss, Raoul Huys, Hättenschwiler Stephan, Vincent Poirier, Alison D. Munson, Grégoire T. Freschet
<h2>1 INTRODUCTION</h2><p>Nitrogen (N) is the dominant element in the Earth's atmosphere, and an important constituent of the biosphere, yet it often limits ecosystem productivity owing to its near-absence in bedrock (LeBauer & Treseder, <span>2008</span>). The availability of N to plants is mainly controlled by organic matter decomposition, during which organic N is immobilized as it becomes incorporated in microbial biomass, or mineralized, that is converted into inorganic forms (Figure 1). The inorganic N content in the soil solution is strongly determined by the rate of net N mineralization (Li et al., <span>2019</span>; Schimel & Bennett, <span>2004</span>), that is when mineralized N exceeds microbial demand. It is also important for ecosystem productivity as inorganic N is the predominant source of N for plants.</p><figure><picture><source media="(min-width: 1650px)" srcset="/cms/asset/996e9ed4-a03b-451d-ba51-738a8e3c65a7/jec70011-fig-0001-m.jpg"/><img alt="Details are in the caption following the image" data-lg-src="/cms/asset/996e9ed4-a03b-451d-ba51-738a8e3c65a7/jec70011-fig-0001-m.jpg" loading="lazy" src="/cms/asset/bc405334-27ba-4712-9022-6a54fb615aaa/jec70011-fig-0001-m.png" title="Details are in the caption following the image"/></picture><figcaption><div><strong>FIGURE 1<span style="font-weight:normal"></span></strong><div>Open in figure viewer<i aria-hidden="true"></i><span>PowerPoint</span></div></div><div>Schematic overview of pools and fluxes related to N dynamics during decomposition. Inspired by Geisseler et al. (<span>2010</span>), Averill and Waring (<span>2018</span>), Cotrufo et al. (<span>2021</span>), Jilling et al. (<span>2018</span>) and Zhang et al. (<span>2021</span>).</div></figcaption></figure><p>The rate and temporal dynamics of N mineralization and release in the soil solution, and its incorporation into soil fractions are of fundamental importance for plant growth and ecosystem productivity. Yet, our knowledge of how litter decomposition drives N dynamics and affects the fate of N in the soil is still rather limited. Nitrogen dynamics during decomposition in soils are affected by various abiotic (e.g. soil properties; Villarino et al., <span>2023</span>) and biotic (e.g. rhizodeposition; Berenstecher et al., <span>2023</span>; Jilling et al., <span>2018</span>) parameters. Yet, multiple studies have shown that initial litter chemistry may be the predominant influence on N dynamics during decomposition and eventually on the quantity of inorganic N in the soil solution (Chen et al., <span>2015</span>; Orwin et al., <span>2010</span>; Trinsoutrot, Recous, Bentz, et al., <span>2000</span>; Trinsoutrot, Recous, Mary, et al., <span>2000</span>; van Huysen et al., <span>2013</span>). As such, ample evidence exists that the initial litter N concentration and the C/N ratio strongly affect litter net N release, that is the loss of N measured by changes in litter N concentration (Kriiska et al., <span>2021
{"title":"The afterlife effects of leaf and root litter traits on soil N cycling","authors":"Janna Wambsganss, Raoul Huys, Hättenschwiler Stephan, Vincent Poirier, Alison D. Munson, Grégoire T. Freschet","doi":"10.1111/1365-2745.70011","DOIUrl":"https://doi.org/10.1111/1365-2745.70011","url":null,"abstract":"<h2>1 INTRODUCTION</h2>\u0000<p>Nitrogen (N) is the dominant element in the Earth's atmosphere, and an important constituent of the biosphere, yet it often limits ecosystem productivity owing to its near-absence in bedrock (LeBauer & Treseder, <span>2008</span>). The availability of N to plants is mainly controlled by organic matter decomposition, during which organic N is immobilized as it becomes incorporated in microbial biomass, or mineralized, that is converted into inorganic forms (Figure 1). The inorganic N content in the soil solution is strongly determined by the rate of net N mineralization (Li et al., <span>2019</span>; Schimel & Bennett, <span>2004</span>), that is when mineralized N exceeds microbial demand. It is also important for ecosystem productivity as inorganic N is the predominant source of N for plants.</p>\u0000<figure><picture>\u0000<source media=\"(min-width: 1650px)\" srcset=\"/cms/asset/996e9ed4-a03b-451d-ba51-738a8e3c65a7/jec70011-fig-0001-m.jpg\"/><img alt=\"Details are in the caption following the image\" data-lg-src=\"/cms/asset/996e9ed4-a03b-451d-ba51-738a8e3c65a7/jec70011-fig-0001-m.jpg\" loading=\"lazy\" src=\"/cms/asset/bc405334-27ba-4712-9022-6a54fb615aaa/jec70011-fig-0001-m.png\" title=\"Details are in the caption following the image\"/></picture><figcaption>\u0000<div><strong>FIGURE 1<span style=\"font-weight:normal\"></span></strong><div>Open in figure viewer<i aria-hidden=\"true\"></i><span>PowerPoint</span></div>\u0000</div>\u0000<div>Schematic overview of pools and fluxes related to N dynamics during decomposition. Inspired by Geisseler et al. (<span>2010</span>), Averill and Waring (<span>2018</span>), Cotrufo et al. (<span>2021</span>), Jilling et al. (<span>2018</span>) and Zhang et al. (<span>2021</span>).</div>\u0000</figcaption>\u0000</figure>\u0000<p>The rate and temporal dynamics of N mineralization and release in the soil solution, and its incorporation into soil fractions are of fundamental importance for plant growth and ecosystem productivity. Yet, our knowledge of how litter decomposition drives N dynamics and affects the fate of N in the soil is still rather limited. Nitrogen dynamics during decomposition in soils are affected by various abiotic (e.g. soil properties; Villarino et al., <span>2023</span>) and biotic (e.g. rhizodeposition; Berenstecher et al., <span>2023</span>; Jilling et al., <span>2018</span>) parameters. Yet, multiple studies have shown that initial litter chemistry may be the predominant influence on N dynamics during decomposition and eventually on the quantity of inorganic N in the soil solution (Chen et al., <span>2015</span>; Orwin et al., <span>2010</span>; Trinsoutrot, Recous, Bentz, et al., <span>2000</span>; Trinsoutrot, Recous, Mary, et al., <span>2000</span>; van Huysen et al., <span>2013</span>). As such, ample evidence exists that the initial litter N concentration and the C/N ratio strongly affect litter net N release, that is the loss of N measured by changes in litter N concentration (Kriiska et al., <span>2021","PeriodicalId":191,"journal":{"name":"Journal of Ecology","volume":"127 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143463091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Raissa I. L. Jardim, Márcia C. M. Marques, Marta R. B. do Carmo, Pedro O. Cavalin, Ricardo A. C. de Oliveira, Marcos B. Carlucci
CONFLICT OF INTEREST STATEMENT
The authors declare no conflicts of interest.
{"title":"Unveiling above- and below-ground ecological strategies that underlie woody plant encroachment in grasslands","authors":"Raissa I. L. Jardim, Márcia C. M. Marques, Marta R. B. do Carmo, Pedro O. Cavalin, Ricardo A. C. de Oliveira, Marcos B. Carlucci","doi":"10.1111/1365-2745.70003","DOIUrl":"https://doi.org/10.1111/1365-2745.70003","url":null,"abstract":"<h2> CONFLICT OF INTEREST STATEMENT</h2>\u0000<p>The authors declare no conflicts of interest.</p>","PeriodicalId":191,"journal":{"name":"Journal of Ecology","volume":"38 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143463089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}