Data

Jurien Bay Dune Chronosequence Data

Terrestrial Ecosystem Research Network
Zemunik, Graham
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4227/05/551A3DDE8BAF8&rft.title=Jurien Bay Dune Chronosequence Data&rft.identifier=10.4227/05/551A3DDE8BAF8&rft.publisher=Terrestrial Ecosystem Research Network&rft.description=The dataset accompanies the paper by Zemunik et al. (2015), which used the Jurien Bay dune chronosequence to investigate the changes in the community-wide suite of plant nutrient-acquisition strategies in response to long-term soil development. The study was located in the Southwest Australian biodiversity hotspot, in an area with an extremely rich regional flora. The dataset consists of both flora and soil data that not only allow all analyses presented in the paper (Zemunik et al. 2015) to be independently investigated, but also would allow further exploration of the data not considered or presented in the study. The study used a randomised stratified design, stratifying the dune system of the chronosequence into six stages, the first three spanning the Holocene (to ~6.5 ka) and oldest spanning soil development from the Early to Middle Pleistocene (to ~2 Ma). Floristic surveys were conducted in 60 permanent 10 m × 10 m plots (10 plots in each of six chronosequence stages). Each plot was surveyed at least once between August 2011 and March 2012, and September 2012. To estimate canopy cover and number of individuals for each plant species within the 10 m × 10 m plots, seven randomly-located 2 m × 2 m subplots were surveyed within each plot. Within each subplot, all vascular plant species were identified, the corresponding number of individuals was counted and the vertically projected vegetation canopy cover was estimated. Surface (0-20 cm) soil from each of the 420 subplots was collected, air dried and analysed at the Smithsonian Tropical Research Institute in Panama, for a range of chemical and physical properties, the main ones of which were considered in this paper being total and resin soil phosphorus, total nitrogen and dissolved organic nitrogen, soil total and organic carbon, and pH (measured in H20 and CaCl2). However, other soil data are also presented in the dataset. Nutrient-acquisition strategies were determined from the literature, where known, and from mycorrhizal analyses of root samples from species with poorly known strategies. Most of the currently known nutrient-acqusition strategies were found in the species of the chronosequence. Previous studies in the Jurien Bay chronosequence have established that its soil development conforms to models of long-term soil development first presented by Walker and Syers (1976); the youngest soils are N-limiting and the oldest are P-limiting (Laliberté et al. 2012). However, filtering of the regional flora by high soil pH on the youngest soils has the strongest effect on local plant species diversity (Laliberté et al. 2014). References: [1] Zemunik, G., Turner, B., Lambers, H. et al. Diversity of plant nutrient-acquisition strategies increases during long-term ecosystem development. Nature Plants 1, 15050 (2015). https://doi.org/10.1038/nplants.2015.50 ; [2] T.W. Walker, J.K. Syers. The fate of phosphorus during pedogenesis Geoderma, 15 (1) (1976), pp. 1-19, 10.1016/0016-7061(76)90066-5 ; [3] Laliberté, E., Turner, B.L., Costes, T., Pearse, S.J., Wyrwoll, K.H., Zemunik, G. & Lambers, H. (2012); [3] Laliberté, E., Turner, B.L., Costes, T., Pearse, S.J., Wyrwoll, K.-H., Zemunik, G. and Lambers, H. (2012), Experimental assessment of nutrient limitation along a 2-million-year dune chronosequence in the south-western Australia biodiversity hotspot. Journal of Ecology, 100: 631-642. https://doi.org/10.1111/j.1365-2745.2012.01962.x.; [4] Laliberté E, Zemunik G, Turner BL. Environmental filtering explains variation in plant diversity along resource gradients. Science. 2014 Sep 26;345(6204):1602-5. doi: 10.1126/science.1256330.Flora surveys: In brief, to estimate canopy cover and number of individuals for each plant species within the 10 m × 10 m plots, seven randomly-located 2 m × 2 m subplots were surveyed within each plot. Within each subplot, all vascular plant species were identified, the corresponding number of individuals was counted and the vertically projected vegetation canopy cover was estimated. Nutrient-acquisition strategies were identified from the literature, where known, and from roots sampled from species in the field, where unknown. The file contains the following: stage: the chronosequence stage number plot: three-part code name for the plot species: Binomial (sometimes with the common name in brackets) of the species family: The species' family cover: Absolute cover (%) in the plot. This usually will sum to Progress Code: completedMaintenance and Update Frequency: notPlanned&rft.creator=Zemunik, Graham &rft.date=2015&rft.edition=1&rft.coverage=The study area of the Jurien Bay chronosequence, which spans approximately 42 km north to south and 12 km east to west.&rft.coverage=northlimit=-30.02125; southlimit=-30.3714; westlimit=114.95358; eastLimit=115.19254; projection=EPSG:3577&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/by/4.0&rft_rights=TERN services are provided on an as-is and as available basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure. <br />Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN. <br /><br />Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting&rft_rights=Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.&rft_rights=(C)2015 University of Western Australia. Rights owned by University of Western Australia.&rft_subject=environment&rft_subject=biota&rft_subject=TERRESTRIAL ECOSYSTEMS&rft_subject=EARTH SCIENCE&rft_subject=BIOSPHERE&rft_subject=SOILS&rft_subject=SOIL FERTILITY&rft_subject=VEGETATION COVER&rft_subject=FUNGI&rft_subject=BIOLOGICAL CLASSIFICATION&rft_subject=SOIL PH&rft_subject=Terrestrial Ecology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=ECOLOGY&rft_subject=Palaeoecology&rft_subject=Conservation and Biodiversity&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ENVIRONMENTAL SCIENCE AND MANAGEMENT&rft_subject=field species name (Unitless)&rft_subject=Unitless&rft_subject=plant cover (Percent)&rft_subject=Percent&rft_subject=growth form (Unitless)&rft_subject=total phosphorous (Milligram per Gram)&rft_subject=Milligram per Gram&rft_subject=soil potassium (Milligram per Gram)&rft_subject=soil magnesium content (Milligram per Gram)&rft_subject=soil calcium content (Milligram per Gram)&rft_subject=10 km - < 50 km or approximately .09 degree - < .5 degree&rft_subject=Subannual&rft_subject=Flowering Trees&rft_subject=Forbs&rft_subject=Grasses&rft_subject=Cycads&rft_subject=Shrubs&rft_subject=Monocots&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International Licence
http://creativecommons.org/licenses/by/4.0

TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting

Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.

(C)2015 University of Western Australia. Rights owned by University of Western Australia.

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Brief description

The dataset accompanies the paper by Zemunik et al. (2015), which used the Jurien Bay dune chronosequence to investigate the changes in the community-wide suite of plant nutrient-acquisition strategies in response to long-term soil development. The study was located in the Southwest Australian biodiversity hotspot, in an area with an extremely rich regional flora. The dataset consists of both flora and soil data that not only allow all analyses presented in the paper (Zemunik et al. 2015) to be independently investigated, but also would allow further exploration of the data not considered or presented in the study. The study used a randomised stratified design, stratifying the dune system of the chronosequence into six stages, the first three spanning the Holocene (to ~6.5 ka) and oldest spanning soil development from the Early to Middle Pleistocene (to ~2 Ma). Floristic surveys were conducted in 60 permanent 10 m × 10 m plots (10 plots in each of six chronosequence stages). Each plot was surveyed at least once between August 2011 and March 2012, and September 2012. To estimate canopy cover and number of individuals for each plant species within the 10 m × 10 m plots, seven randomly-located 2 m × 2 m subplots were surveyed within each plot. Within each subplot, all vascular plant species were identified, the corresponding number of individuals was counted and the vertically projected vegetation canopy cover was estimated. Surface (0-20 cm) soil from each of the 420 subplots was collected, air dried and analysed at the Smithsonian Tropical Research Institute in Panama, for a range of chemical and physical properties, the main ones of which were considered in this paper being total and resin soil phosphorus, total nitrogen and dissolved organic nitrogen, soil total and organic carbon, and pH (measured in H20 and CaCl2). However, other soil data are also presented in the dataset. Nutrient-acquisition strategies were determined from the literature, where known, and from mycorrhizal analyses of root samples from species with poorly known strategies. Most of the currently known nutrient-acqusition strategies were found in the species of the chronosequence. Previous studies in the Jurien Bay chronosequence have established that its soil development conforms to models of long-term soil development first presented by Walker and Syers (1976); the youngest soils are N-limiting and the oldest are P-limiting (Laliberté et al. 2012). However, filtering of the regional flora by high soil pH on the youngest soils has the strongest effect on local plant species diversity (Laliberté et al. 2014).

References: [1] Zemunik, G., Turner, B., Lambers, H. et al. Diversity of plant nutrient-acquisition strategies increases during long-term ecosystem development. Nature Plants 1, 15050 (2015). https://doi.org/10.1038/nplants.2015.50 ; [2] T.W. Walker, J.K. Syers. The fate of phosphorus during pedogenesis Geoderma, 15 (1) (1976), pp. 1-19, 10.1016/0016-7061(76)90066-5 ; [3] Laliberté, E., Turner, B.L., Costes, T., Pearse, S.J., Wyrwoll, K.H., Zemunik, G. & Lambers, H. (2012); [3] Laliberté, E., Turner, B.L., Costes, T., Pearse, S.J., Wyrwoll, K.-H., Zemunik, G. and Lambers, H. (2012), Experimental assessment of nutrient limitation along a 2-million-year dune chronosequence in the south-western Australia biodiversity hotspot. Journal of Ecology, 100: 631-642. https://doi.org/10.1111/j.1365-2745.2012.01962.x.; [4] Laliberté E, Zemunik G, Turner BL. Environmental filtering explains variation in plant diversity along resource gradients. Science. 2014 Sep 26;345(6204):1602-5. doi: 10.1126/science.1256330.

Lineage

Flora surveys: In brief, to estimate canopy cover and number of individuals for each plant species within the 10 m × 10 m plots, seven randomly-located 2 m × 2 m subplots were surveyed within each plot. Within each subplot, all vascular plant species were identified, the corresponding number of individuals was counted and the vertically projected vegetation canopy cover was estimated. Nutrient-acquisition strategies were identified from the literature, where known, and from roots sampled from species in the field, where unknown. The file contains the following: stage: the chronosequence stage number plot: three-part code name for the plot species: Binomial (sometimes with the common name in brackets) of the species family: The species' family cover: Absolute cover (%) in the plot. This usually will sum to <100% relativecover: Relative cover (%) in the plot. This sums to 100% strategy: The nutrient-acquisition strategy, as determined from the literature and root sampling of selected species. Can be a combination of the following: "AM", "Carnivorous", "Cluster roots", "Dauciform", "Ectomycorrhizal", "Ericoid", "Hemiparasite", "Holoparasite", "Non-mycorrhizal", "Orchid mycorrhizal", "Sand-binding", "Thysanotus mycorrhizal, Sand-binding", "Unspecialised" growthform: the species' growth form. Can be one of: "annual grass" , "annual herb", "annual sedge", "geophytic herb", "grass", "perennial herb", "rush", "sedge", "shrub", "tree"

Progress Code: completed
Maintenance and Update Frequency: notPlanned

Notes

Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
Purpose
Soil fertility strongly influences plant communities, but its effects on diversity of belowground strategies by which plants obtain nutrients are poorly known. As soil fertility declines, plants with nutrient-conserving traits are favoured, leading to functional convergence. This led to generalisations that environmental filtering dominates plant community assembly at low fertility. By contrast, our study along an exceptionally-strong fertility gradient in a biodiversity hotspot showed increasing diversity of nutrient-acquisition strategies with declining fertility. Our results demonstrated that fundamentally-different community-assembly processes operate above- and belowground. As such, it emphasises the importance of belowground traits to predict how vegetation will respond to environmental changes such as eutrophication.

Created: 2012-09-30

Issued: 2015-03-31

Modified: 2025-12-11

Data time period: 2011-07-19 to 2012-09-30

This dataset is part of a larger collection

Click to explore relationships graph

115.19254,-30.02125 115.19254,-30.3714 114.95358,-30.3714 114.95358,-30.02125 115.19254,-30.02125

115.07306,-30.196325

text: The study area of the Jurien Bay chronosequence, which spans approximately 42 km north to south and 12 km east to west.