Dataset

Jurien Bay Dune Chronosequence Data

Advanced Ecological Knowledge and Observation System
Zemunik, GAZ
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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=http://doi.org/10.4227/05/551A3DDE8BAF8&rft.publisher=ÆKOS Data Portal, rights owned by University of Western Australia&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 Zemunik, G., Turner, B.L., Lambers, H. & Laliberté, E. (2015) Diversity of plant nutrient-acquisition strategies increases during long-term ecosystem development. Nature Plants, In Press. Walker, T.W. & Syers, J.K. (1976) The fate of phosphorus during pedogenesis. Geoderma, 15, 1-19. Laliberté, E., Turner, B.L., Costes, T., Pearse, S.J., Wyrwoll, K.H., Zemunik, G. & 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. Laliberté, E., Zemunik, G. & Turner, B.L. (2014) Environmental filtering explains variation in plant diversity along resource gradients. Science, 345, 1602-1605.&rft.creator=Anonymous&rft.date=2015&rft.edition=1.0&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=-30.37140; eastlimit=115.19254; westlimit=114.95358; projection=GDA94&rft_rights=(C)2015 University of Western Australia. Rights owned by University of Western Australia. Rights licensed subject to CC-BY 3.0 Australia.&rft_rights=CC-BY 3.0 Australia&rft_subject=Terrestrial Ecology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=ECOLOGY&rft_subject=FLORA, FAUNA AND BIODIVERSITY&rft_subject=ENVIRONMENT&rft_subject=Ecological Succession&rft_subject=Ecophysiology&rft_subject=None&rft.type=dataset&rft.language=English 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=http://doi.org/10.4227/05/551A3DDE8BAF8&rft.publisher=ÆKOS Data Portal, rights owned by University of Western Australia&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 Zemunik, G., Turner, B.L., Lambers, H. & Laliberté, E. (2015) Diversity of plant nutrient-acquisition strategies increases during long-term ecosystem development. Nature Plants, In Press. Walker, T.W. & Syers, J.K. (1976) The fate of phosphorus during pedogenesis. Geoderma, 15, 1-19. Laliberté, E., Turner, B.L., Costes, T., Pearse, S.J., Wyrwoll, K.H., Zemunik, G. & 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. Laliberté, E., Zemunik, G. & Turner, B.L. (2014) Environmental filtering explains variation in plant diversity along resource gradients. Science, 345, 1602-1605.&rft.creator=Anonymous&rft.date=2015&rft.edition=1.0&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=-30.37140; eastlimit=115.19254; westlimit=114.95358; projection=GDA94&rft_rights=(C)2015 University of Western Australia. Rights owned by University of Western Australia. Rights licensed subject to CC-BY 3.0 Australia.&rft_rights=CC-BY 3.0 Australia&rft_subject=Terrestrial Ecology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=ECOLOGY&rft_subject=FLORA, FAUNA AND BIODIVERSITY&rft_subject=ENVIRONMENT&rft_subject=Ecological Succession&rft_subject=Ecophysiology&rft_subject=None&rft.type=dataset&rft.language=English Access the data

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CC-BY 3.0 Australia

(C)2015 University of Western Australia. Rights owned by University of Western Australia. Rights licensed subject to CC-BY 3.0 Australia.

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These data can be freely downloaded via the Advanced Ecological Knowledge and Observation System (ÆKOS) Data Portal and used subject to the CC-BY 3.0 Australia. Attribution and citation is required as described under License and Citation. We ask you to send citations of publications arising from work that use these data to TERN Eco-informatics at datacited@aekos.org.au and citation and copies of publications to graham@graduate.uwa.edu.au

Contact Information

Street Address:
Graham Zemunik
University of Western Australia
School of Plant Biology, The University of Western Australia, Crawley (Perth), WA 6009, Australia
Ph: 0457921038

graham@graduate.uwa.edu.au

Full 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
Zemunik, G., Turner, B.L., Lambers, H. & Laliberté, E. (2015) Diversity of plant nutrient-acquisition strategies increases during long-term ecosystem development. Nature Plants, In Press.

Walker, T.W. & Syers, J.K. (1976) The fate of phosphorus during pedogenesis. Geoderma, 15, 1-19.

Laliberté, E., Turner, B.L., Costes, T., Pearse, S.J., Wyrwoll, K.H., Zemunik, G. & 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.

Laliberté, E., Zemunik, G. & Turner, B.L. (2014) Environmental filtering explains variation in plant diversity along resource gradients. Science, 345, 1602-1605.

Date Submitted : 2015-03-31

Date Accepted : 2015-03-31

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

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.

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Identifiers
  • Local : aekos.org.au/collection/shared/193192