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Jason Martina

Country flagUnited States

Research Interests

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Articles (9)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Understanding how invasive species respond to changes in abiotic factors and what influences their ability to colonise newly disturbed areas is necessary to predict species expansion, prioritise management efforts, and develop ecological models. We conducted a fully factorial greenhouse experiment using rhizome fragments to examine the effects of four nutrients levels, three soil moisture levels, and two light levels (with five replicates, n = 120) on the growth and resource allocation patterns of Arundo donax, a large‐statured invasive wetland species. We predicted that A . donax 's performance‐related traits—traits that directly influence the functionality and fitness of an individual—such as aboveground biomass (AGB), belowground biomass (BGB), net photosynthesis, and average stem height, would be highest under high light, high soil moisture and high nutrient conditions due to the ability of aggressive invasive species to capitalise on greater resource availability. Analyses using general linear mixed‐effects models revealed significant interactions between soil moisture and light. Plants grown in saturated, high light conditions exhibited the highest values for performance‐related traits. However, contrary to predictions, nutrients did not significantly influence these traits. Multivariate analysis of variance demonstrated that nutrients did influence biomass allocation patterns, with plants grown with added nitrogen and phosphorus displaying higher AGB:BGB and stem:leaf ratios. This research highlights A. donax 's unique response to nutrient addition and the plasticity of biomass allocation patterns. By understanding how invasive species respond to common abiotic factors, we can better predict their expansion and prioritise management efforts, such as focusing on areas of low overstory shading, while also providing crucial information for ecological model development.

Year:

2023

Collaborators (17)

Christopher R. Dickman

University of Sydney

AUSTRALIA
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Yujie Niu

University of Bayreuth

GERMANY
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Carly Stevens

University of Lancaster

UNITED KINGDOM
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Alissar Cheaib

Texas Tech University

UNITED STATES
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Jane Catford

King’s College London

UNITED KINGDOM
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Ian Donohue

Professor

Trinity College Dublin

IRELAND
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Ciska Veen

Head of department

Royal Netherlands Academy of Arts & Sciences (KNAW)

NETHERLANDS
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Travis Huxman

Professor

University of California, Irvine

UNITED STATES
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Pierre Mariotte

Deputy Head

Agroscope

SWITZERLAND
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William E. Rogers

Texas A&M University

UNITED STATES
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Anita C Risch

Group leader / Senior scientist / Member of directors board

Swiss Federal Institute for Forest, Snow and Landscape Research

SWITZERLAND
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Harry olde Venterink

Vrije Universiteit Brussel

BELGIUM
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Yvonne Buckley

Professor of Zoology (1871)

Trinity College Dublin

IRELAND
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William Currie

Professor and Associate Dean

University of Michigan

UNITED STATES
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Eric Seabloom

Professor

University of Minnesota System

UNITED STATES
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Marie Spohn

Professor

Swedish University of Agricultural Sciences

SWEDEN
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Jonathan Bakker

Professor

University of Washington

UNITED STATES
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