Journal of Ecology最新文献

英文中文

Drainage and nitrogen enrichment facilitate the encroachment of woody plants at various developmental stages in freshwater marshes

IF 5.5 1区环境科学与生态学 Q1 ECOLOGY

Journal of Ecology

Pub Date : 2025-03-22 DOI: 10.1111/1365-2745.70030

Liping Shan, Ayub M. O. Oduor, Wenwen Tan, Yanjie Liu

CONFLICT OF INTEREST STATEMENT

There is no conflict of interest in this submission, and all authors have approved the manuscript for publication.

引用次数: 0

Herbivory in a low Arctic wetland alters intraspecific plant root traits with consequences for carbon and nitrogen cycling

IF 5.5 1区环境科学与生态学 Q1 ECOLOGY

Journal of Ecology

Pub Date : 2025-03-20 DOI: 10.1111/1365-2745.70028

Emily A. Chavez, Jaron Adkins, Bonnie G. Waring, Karen H. Beard, Ryan T. Choi, Lindsay Miller, Taylor Saunders, Trisha B. Atwood

CONFLICT OF INTEREST STATEMENT

The authors have no conflicts of interest to disclose.

引用次数: 0

Shaded habitats drive higher rates of fern diversification

IF 5.5 1区环境科学与生态学 Q1 ECOLOGY

Journal of Ecology

Pub Date : 2025-03-20 DOI: 10.1111/1365-2745.70026

Guilin Wu, Qing Ye, Hui Liu, Harald Schneider, Michael Sundue, Juan Song, Hui Wang, Zhijing Qiu

CONFLICT OF INTEREST STATEMENT

The authors declare no conflicts of interest.

引用次数: 0

Legacy effects control root elemental composition and stoichiometry in subtropical forests: Empirical support for the biogeochemical niche hypothesis

IF 5.5 1区环境科学与生态学 Q1 ECOLOGY

Journal of Ecology

Pub Date : 2025-03-20 DOI: 10.1111/1365-2745.70031

Mingyan Hu, Yang Chen, Jordi Sardans, Josep Peñuelas, Han Y. H. Chen, Chengjin Chu, Zilong Ma

CONFLICT OF INTEREST STATEMENT

The authors declare no competing interests.

引用次数: 0

Land-use changes impact root–fungal network connectivity in a global biodiversity hotspot

IF 5.5 1区环境科学与生态学 Q1 ECOLOGY

Journal of Ecology

Pub Date : 2025-03-14 DOI: 10.1111/1365-2745.70020

Carina Carneiro de Melo Moura, Nathaly Guerrero-Ramírez, Valentyna Krashevska, Andrea Polle, Iskandar Z. Siregar, Johannes Ballauff, Ulfah J. Siregar, Francisco Encinas-Viso, Karen Bell, Paul Nevill, Oliver Gailing

<h2>1 INTRODUCTION</h2>Tropical rainforests are highly diverse ecosystems that contain a wide array of micro-habitats and organisms (Eiserhardt et al., 2017; Wardle et al., 2004). Yet, rainforests face major threats due to their rapid replacement with cash crop plantations such as oil palm and rubber (Rembold et al., 2017; Zemp et al., 2023). For example, the ongoing agricultural expansion has resulted in ~21 million hectares of oil palm plantations globally (Descals et al., 2021; Tedersoo et al., 2014). Overall, the taxonomic diversity of native species has decreased due to land-use changes (Ballauff et al., 2021; Barnes et al., 2017; Brinkmann et al., 2019; Felipe-Lucia et al., 2020; Newbold et al., 2016). However, to better understand the multiple impacts of agricultural expansion on tropical ecosystems, we urgently need to strengthen our knowledge of the impacts of land-use conversion on species interactions (Brinkmann et al., 2019; Felipe-Lucia et al., 2020; Newbold et al., 2016; Romdhane et al., 2022).Plant–fungal associations play a fundamental role in shaping the structure and functioning of tropical ecosystems (Põlme et al., 2018; Tedersoo et al., 2014, 2022), providing insights into the resilience, adaptive capacity and health of forest ecosystems (Trivedi et al., 2020). Root–microbial interactions involving different kingdoms and functional guilds (Brunel et al., 2020; Ferlian et al., 2018; McLaren & Callahan, 2020; Trivedi et al., 2020; Vorburger & Perlman, 2018) have been linked to mutualistic preferences, evolutionary and trait differences among hosts, and phylogenetic relatedness and competitive exclusion between fungi (Alzarhani et al., 2019; Francioli et al., 2021). For example, the abundance and diversity of arbuscular mycorrhizal fungi (AMF) have been found to respond to changes in plant diversity and composition (Deyn et al., 2011; Gui et al., 2017), with host–AMF preferences likely modulated by plant functional groups, instead of reflecting individual species interactions (Edy et al., 2022; Francioli et al., 2021; Zanne et al., 2020). Moreover, an increase in the abundance of AMF in the rhizosphere is expected to promote a decrease in pathogen abundance (Francioli et al., 2021; Sweeney et al., 2021; Zanne et al., 2020) and to be positively correlated with the abundance of saprotrophic fungi (Francioli et al., 2021; van der Heijden & Hartmann, 2016). Although in tropical lowland forests, most tree species are associated with AMF, plant species

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引用次数: 0

Arctic tundra ecosystems under fire—Alternative ecosystem states in a changing climate?

IF 5.5 1区环境科学与生态学 Q1 ECOLOGY

Journal of Ecology

Pub Date : 2025-03-13 DOI: 10.1111/1365-2745.70022

Ramona Julia Heim, Adrian V. Rocha, Vitalii Zemlianskii, Kirsten Barrett, Helga Bültmann, Amy Breen, Gerald Verner Frost, Teresa Nettleton Hollingsworth, Randi Jandt, Maria Kozlova, Anastasiya Kurka, Mark Torre Jorgenson, Simon M. Landhäusser, Michael Mark Loranty, Eric A. Miller, Kenji Narita, Evgeniya Pravdolyubova, Norbert Hölzel, Gabriela Schaepman‐Strub

Climate change is expected to induce shifts in the composition, structure and functioning of Arctic tundra ecosystems. Increases in the frequency and severity of tundra fires have the potential to catalyse vegetation transitions with far‐reaching local, regional and global consequences.

We propose that post‐fire tundra recovery, coupled with climate change, may not necessarily lead to pre‐fire conditions. Our hypothesis, based on surveys and literature, suggests two climate–fire driven trajectories. One trajectory results in increased woody vegetation under low fire frequency; the other results in grass dominance under high frequency.

Future research should address uncertainties regarding possible tundra ecosystem shifts linked to fires, using methods that encompass greater temporal and spatial scales than previously addressed. More case studies, especially in underrepresented regions and ecosystem types, are essential to broaden the empirical basis for forecasts and potential fire management strategies.

Synthesis. Our review synthesises current knowledge on post‐fire vegetation trajectories in Arctic tundra ecosystems, highlighting potential transitions and alternative ecosystem states and their implications. We discuss challenges in defining and predicting these trajectories as well as future directions.

{"title":"Arctic tundra ecosystems under fire—Alternative ecosystem states in a changing climate?","authors":"Ramona Julia Heim, Adrian V. Rocha, Vitalii Zemlianskii, Kirsten Barrett, Helga Bültmann, Amy Breen, Gerald Verner Frost, Teresa Nettleton Hollingsworth, Randi Jandt, Maria Kozlova, Anastasiya Kurka, Mark Torre Jorgenson, Simon M. Landhäusser, Michael Mark Loranty, Eric A. Miller, Kenji Narita, Evgeniya Pravdolyubova, Norbert Hölzel, Gabriela Schaepman‐Strub","doi":"10.1111/1365-2745.70022","DOIUrl":"https://doi.org/10.1111/1365-2745.70022","url":null,"abstract":" Climate change is expected to induce shifts in the composition, structure and functioning of Arctic tundra ecosystems. Increases in the frequency and severity of tundra fires have the potential to catalyse vegetation transitions with far‐reaching local, regional and global consequences. We propose that post‐fire tundra recovery, coupled with climate change, may not necessarily lead to pre‐fire conditions. Our hypothesis, based on surveys and literature, suggests two climate–fire driven trajectories. One trajectory results in increased woody vegetation under low fire frequency; the other results in grass dominance under high frequency. Future research should address uncertainties regarding possible tundra ecosystem shifts linked to fires, using methods that encompass greater temporal and spatial scales than previously addressed. More case studies, especially in underrepresented regions and ecosystem types, are essential to broaden the empirical basis for forecasts and potential fire management strategies. Synthesis. Our review synthesises current knowledge on post‐fire vegetation trajectories in Arctic tundra ecosystems, highlighting potential transitions and alternative ecosystem states and their implications. We discuss challenges in defining and predicting these trajectories as well as future directions. ","PeriodicalId":191,"journal":{"name":"Journal of Ecology","volume":"5 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143608004","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}

引用次数: 0

Survival and environmental filtering of angiosperm and conifer seedlings at range-wide scales throughout temperate evergreen rainforests

IF 5.5 1区环境科学与生态学 Q1 ECOLOGY

Journal of Ecology

Pub Date : 2025-03-13 DOI: 10.1111/1365-2745.70024

Ann-Kathrin V. Schlesselmann, Sarah J. Richardson, Peter J. Bellingham, Elaine Wright, Insu Jo, Amy Hawcroft, Adrian Monks

<h2>1 INTRODUCTION</h2>Most abiotic and biotic processes filter species within communities (Jiang et al., 2022). Such filtering is intense during early life stages, such as that of forest tree seedlings (Green et al., 2014; Grubb, 1977). Light, water and mineral nutrients are important factors limiting the performance of tree seedlings (Coomes & Grubb, 2000). While some stresses are primarily imposed by the physical environment (e.g. low temperatures, drought, low soil fertility; Comita & Engelbrecht, 2014; Lusk et al., 2015; Richardson et al., 2013), others originate from, or are intensified by, understorey or canopy components of the forest that reduce light availability or cause physical damage through litterfall from large tree fern or palm fronds (Beckage & Clark, 2003; Clark & Clark, 1991; Coomes et al., 2005; George & Bazzaz, 1999; Lusk & del Pozo, 2002). Many studies that measure seedling survival with respect to abiotic and biotic filters are conducted at small spatial scales that only partially sample environmental gradients, and it is difficult to ascertain their generality (Estes et al., 2018). However, given accelerating global environmental change, understanding drivers across environmental gradients and scales matching underlying processes is critical to better predict the future of forest communities (McDowell et al., 2020).Plants trade off growth in optimal conditions against survival and stress tolerance (Kambach et al., 2025; Reich, 2014). Conifers and angiosperms exemplify this trade-off as many conifers have conservative traits that enable persistence in stressed environments while many angiosperms have faster growth rates but suffer shorter longevity (Brodribb et al., 2012; Enright & Ogden, 1996). Conifers have physiological constraints, such as poor water conduction by tracheids and limited total leaf area in seedlings, resulting in slow growth (Augusto et al., 2014). However, conifers often persist on low nutrient sites due to their thrifty use of nutrients achieved through longer-lived leaves. In contrast, the more efficient water transport systems of angiosperms based on xylem vessels are often more susceptible to frost or drought due to embolism (Lusk et al., 2015). Bond (1989) put forward the ‘slow seedling’ hypothesis as an explanation of why conifers are often scarce as seedlings but may dominate canopies, by suggesting that the observed low frequency of conifer seedlings may be traded off with higher survival than angiosperms. The combination of environmental conditions and plant growth strategies can lead to differences in survival because optimal adaptation to all relevant environments at the same time is n

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引用次数: 0

The effectiveness of indirect plant defence is dependent on plant competition

IF 5.5 1区环境科学与生态学 Q1 ECOLOGY

Journal of Ecology

Pub Date : 2025-03-12 DOI: 10.1111/1365-2745.70025

Maximilien A. C. Cuny, Jorad de Vries, Mitchel E. Bourne, Daan Mertens, Rieta Gols, Erik H. Poelman

<h2>1 INTRODUCTION</h2>To mitigate the effects of herbivory, plants may invest in a broad array of defence strategies (Agrawal, 2011). These strategies are usually divided into two categories: direct defence that affects the performance of the herbivores, for example, through the production of adverse chemicals and physical impediments (Schoonhoven et al., 2005), and indirect defence, whereby plants promote the top-down control of herbivores by recruitment of natural enemies, for example, via the production of shelters, extrafloral nectar or the release of herbivore-induced plant volatiles (Pearse et al., 2020). The evolution of plant traits that enhance the top-down control of herbivory is evident in relationships that involve resource-mediated indirect defence, such as the presence of fruit bodies or shelters to house predators (Kessler & Heil, 2011). The evolution of such plant traits often coincides with the specialization of predators such as ants, to use the housing and fruit bodies of the plant while offering strong defensive services that reduce plant fitness loss by herbivory (Heil & McKey, 2003). The evolution of information-mediated indirect defence by plant volatiles is strongly debated (Kessler & Heil, 2011). The attraction of predators and parasitoids by herbivore-induced plant volatiles is likely ubiquitous in all terrestrial ecosystems (Pearse et al., 2020; Turlings & Erb, 2018). However, only very few studies have identified a link between volatile emission, the attraction of natural enemies and plant fitness (Hare, 2011; Kergunteuil et al., 2019; Schuman et al., 2012).One general reason for why information-mediated indirect defence may not be evident is that volatiles are used by many other community members that influence the fitness of individual plants (Poelman, 2015; Turlings & Erb, 2018). A second reason is that parasitoids, a prevalent group of natural enemies that respond to herbivore-induced plant volatiles to locate their herbivorous hosts (Godfray, 1994), do not always mitigate the impact of herbivory on plants (Cuny et al., 2021; Cuny & Poelman, 2022; Pearse et al., 2020; van der Meijden & Klinkhamer, 2000). In other words, it is unclear whether indirect defence through the release of plant volatiles evolved to specifically attract parasitoids. There are several reasons for this ongoing debate: (1) Some parasitoid species allow the host to grow until the parasitoid larvae are fully grown (Mackauer & Sequeira, 1993) and, thus, feeding damage still occurs following parasitism. Hosts parasitized by some species (mostly gregarious ones) inflict even more damage than unparasitized ones (Ode, 2006); (2) even if parasitism red

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引用次数: 0

Leaf biomechanical traits predict litter decomposability

IF 5.5 1区环境科学与生态学 Q1 ECOLOGY

Journal of Ecology

Pub Date : 2025-03-11 DOI: 10.1111/1365-2745.70019

Hang Wang, Hongwei Li, Yusuke Onoda, Yuanjie Xu, Liangfan Ma, Jianfeng Zhao, Jinfeng Qi

CONFLICT OF INTEREST STATEMENT

The authors declare that they have no competing interests.

引用次数: 0

Do trait–growth relationships vary with plant age in fire-prone heathland shrubs?

IF 5.5 1区环境科学与生态学 Q1 ECOLOGY

Journal of Ecology

Pub Date : 2025-03-11 DOI: 10.1111/1365-2745.70023

Lily P. Dun, Elizabeth H. Wenk, Daniel S. Falster, Mark Westoby, Ian J. Wright

<h2>1 INTRODUCTION</h2>Field-measured plant growth rates vary considerably across species, influencing competitive interactions and shaping vegetation patterns across various ecological scales (Lambers & Poorter, 1992). Understanding the factors driving this variation is essential for predicting community dynamics and ecosystem responses to environmental change. Functional traits have been extensively studied as potential drivers of growth rate variability, with some traits generally showing consistent correlations with growth rates across different studies. For example, in numerous studies, faster growth tends to be correlated with lower wood density (WD) and with higher adult maximum height (Fajardo et al., 2024; Gray et al., 2019; Iida et al., 2023; Iida, Kohyama, et al., 2014; King et al., 2006; Kunstler et al., 2016; Poorter et al., 2008, 2018; Rubio et al., 2021; Rüger et al., 2012; Russo et al., 2010; Wright et al., 2010). By contrast, for leaf mass per area (LMA), a key trait in leaf ‘economics’ (Wright et al., 2004), the corresponding knowledge is variable: in some field studies, LMA is positively associated with growth rate (Bin et al., 2024; Gray et al., 2019), in others, the association is negative (Poorter et al., 2018; Poorter & Bongers, 2006), and commonly no relationship is found (Gibert et al., 2016; Hietz et al., 2017; Prado-Junior et al., 2017; Visser et al., 2016; Wright et al., 2019).Increasingly, researchers in this area have explored the possibility that trait-growth relationships vary with plant size or age, or developmental stage (Gibert et al., 2016; Iida et al., 2023; Iida, Kohyama, et al., 2014; Iida, Poorter, et al., 2014; Iida & Swenson, 2020; Medeiros et al., 2019; Prado-Junior et al., 2017; Rüger et al., 2012; Visser et al., 2016; Wright et al., 2019; Yang et al., 2018). Plant size or age may help explain discrepancies among reported relationships, for example, for LMA. Generalising across studies is potentially complicated by differences in how growth rate is expressed, that is, as absolute growth rate or as relative growth rate RGR, which itself is strongly size-dependent (He et al., 2022). Generalisation is also complicated by methodological differences in how size-related effects are quantified, for example, by way of meta-analysis (Gibert et al., 2016), by including size as a covariate in a hierarchical Bayesian framework (Iida, Kohyama, et al., 2014; Iida, Poorter, et al., 2014; Rüger et al., 20

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