From soaking wet to bone dry: predicting plant community composition along a steep hydrological gradient

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

From soaking wet to bone dry : predicting plant community composition along a steep hydrological gradient. / Båstrup-Spohr, Lars; Sand-Jensen, Kaj; Nicolajsen, Sascha Veggerby; Bruun, Hans Henrik.

In: Journal of Vegetation Science, Vol. 26, No. 4, 2015, p. 619-630.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Båstrup-Spohr, L, Sand-Jensen, K, Nicolajsen, SV & Bruun, HH 2015, 'From soaking wet to bone dry: predicting plant community composition along a steep hydrological gradient', Journal of Vegetation Science, vol. 26, no. 4, pp. 619-630. https://doi.org/10.1111/jvs.12280

APA

Båstrup-Spohr, L., Sand-Jensen, K., Nicolajsen, S. V., & Bruun, H. H. (2015). From soaking wet to bone dry: predicting plant community composition along a steep hydrological gradient. Journal of Vegetation Science, 26(4), 619-630. https://doi.org/10.1111/jvs.12280

Vancouver

Båstrup-Spohr L, Sand-Jensen K, Nicolajsen SV, Bruun HH. From soaking wet to bone dry: predicting plant community composition along a steep hydrological gradient. Journal of Vegetation Science. 2015;26(4):619-630. https://doi.org/10.1111/jvs.12280

Author

Båstrup-Spohr, Lars ; Sand-Jensen, Kaj ; Nicolajsen, Sascha Veggerby ; Bruun, Hans Henrik. / From soaking wet to bone dry : predicting plant community composition along a steep hydrological gradient. In: Journal of Vegetation Science. 2015 ; Vol. 26, No. 4. pp. 619-630.

Bibtex

@article{a5cce519634743b6a5af2a23d33aea78,
title = "From soaking wet to bone dry: predicting plant community composition along a steep hydrological gradient",
abstract = "Question Why do plants grow where they grow? Prediction of species' occurrence and abundance in relation to the environment is a core aim of ecology, as is understanding the link between environmental stressors and adaptive traits. Community assembly may be viewed as a sequence of filters, sorting species according to their functional traits. We ask if the strength of filtering changes along a strong hydrological gradient? Can we predict species′ relative abundance using few, but biologically relevant traits? And are strongly filtered traits better predictors of community assembly? Location A hydrological gradient from pond to dry limestone pavements on the Island of {\"O}land, South Sweden. Methods Plant community composition and six morpho-physiogical plant traits were measured along a pronounced gradient in water supply and soil depth. The strength of filtering was quantified using a trait dispersion index, while the prediction of species′ relative abundance and importance of individual traits was assessed with the community assembly by trait selection (CATS) model. Results We show that species are filtered by the hydrological environment through the traits root porosity, specific leaf area and resistance to water loss on drying. For individual traits, the strength of filtering waxes and wanes along the gradient. This strongly suggests that the mechanism, through which species are filtered into communities, acts through different traits as environmental conditions change along the gradient. The CATS model predicted 66% of the variation in species' relative abundances using six traits. In general, the traits subject to filtering also were most important in predicting species abundance. Conclusions Few plant traits are exposed to environmental filtering across the entire hydrological gradient, and most traits are strongly filtered only in parts of the gradient (e.g. root porosity in wet soils and water loss on drying on thin dry soils). Evidence for congruence between trait dispersion indices and the CATS model was established, underpinning the importance to plant community assembly of environmental filtering of species through their traits. New functional traits relevant to a specific environmental gradient – and not just some standard traits from a public database – can contribute significantly to resolve how plant communities are assembled.",
keywords = "Alvar, Community assembly by species traits, Environmental filtering, Functional trait, Hydrological gradient, Species richness, Trait-environment relationship, Faculty of Science, community assembly, hydrology gradient",
author = "Lars B{\aa}strup-Spohr and Kaj Sand-Jensen and Nicolajsen, {Sascha Veggerby} and Bruun, {Hans Henrik}",
year = "2015",
doi = "10.1111/jvs.12280",
language = "English",
volume = "26",
pages = "619--630",
journal = "Journal of Vegetation Science",
issn = "1100-9233",
publisher = "JohnWiley & Sons Ltd",
number = "4",

}

RIS

TY - JOUR

T1 - From soaking wet to bone dry

T2 - predicting plant community composition along a steep hydrological gradient

AU - Båstrup-Spohr, Lars

AU - Sand-Jensen, Kaj

AU - Nicolajsen, Sascha Veggerby

AU - Bruun, Hans Henrik

PY - 2015

Y1 - 2015

N2 - Question Why do plants grow where they grow? Prediction of species' occurrence and abundance in relation to the environment is a core aim of ecology, as is understanding the link between environmental stressors and adaptive traits. Community assembly may be viewed as a sequence of filters, sorting species according to their functional traits. We ask if the strength of filtering changes along a strong hydrological gradient? Can we predict species′ relative abundance using few, but biologically relevant traits? And are strongly filtered traits better predictors of community assembly? Location A hydrological gradient from pond to dry limestone pavements on the Island of Öland, South Sweden. Methods Plant community composition and six morpho-physiogical plant traits were measured along a pronounced gradient in water supply and soil depth. The strength of filtering was quantified using a trait dispersion index, while the prediction of species′ relative abundance and importance of individual traits was assessed with the community assembly by trait selection (CATS) model. Results We show that species are filtered by the hydrological environment through the traits root porosity, specific leaf area and resistance to water loss on drying. For individual traits, the strength of filtering waxes and wanes along the gradient. This strongly suggests that the mechanism, through which species are filtered into communities, acts through different traits as environmental conditions change along the gradient. The CATS model predicted 66% of the variation in species' relative abundances using six traits. In general, the traits subject to filtering also were most important in predicting species abundance. Conclusions Few plant traits are exposed to environmental filtering across the entire hydrological gradient, and most traits are strongly filtered only in parts of the gradient (e.g. root porosity in wet soils and water loss on drying on thin dry soils). Evidence for congruence between trait dispersion indices and the CATS model was established, underpinning the importance to plant community assembly of environmental filtering of species through their traits. New functional traits relevant to a specific environmental gradient – and not just some standard traits from a public database – can contribute significantly to resolve how plant communities are assembled.

AB - Question Why do plants grow where they grow? Prediction of species' occurrence and abundance in relation to the environment is a core aim of ecology, as is understanding the link between environmental stressors and adaptive traits. Community assembly may be viewed as a sequence of filters, sorting species according to their functional traits. We ask if the strength of filtering changes along a strong hydrological gradient? Can we predict species′ relative abundance using few, but biologically relevant traits? And are strongly filtered traits better predictors of community assembly? Location A hydrological gradient from pond to dry limestone pavements on the Island of Öland, South Sweden. Methods Plant community composition and six morpho-physiogical plant traits were measured along a pronounced gradient in water supply and soil depth. The strength of filtering was quantified using a trait dispersion index, while the prediction of species′ relative abundance and importance of individual traits was assessed with the community assembly by trait selection (CATS) model. Results We show that species are filtered by the hydrological environment through the traits root porosity, specific leaf area and resistance to water loss on drying. For individual traits, the strength of filtering waxes and wanes along the gradient. This strongly suggests that the mechanism, through which species are filtered into communities, acts through different traits as environmental conditions change along the gradient. The CATS model predicted 66% of the variation in species' relative abundances using six traits. In general, the traits subject to filtering also were most important in predicting species abundance. Conclusions Few plant traits are exposed to environmental filtering across the entire hydrological gradient, and most traits are strongly filtered only in parts of the gradient (e.g. root porosity in wet soils and water loss on drying on thin dry soils). Evidence for congruence between trait dispersion indices and the CATS model was established, underpinning the importance to plant community assembly of environmental filtering of species through their traits. New functional traits relevant to a specific environmental gradient – and not just some standard traits from a public database – can contribute significantly to resolve how plant communities are assembled.

KW - Alvar

KW - Community assembly by species traits

KW - Environmental filtering

KW - Functional trait

KW - Hydrological gradient

KW - Species richness

KW - Trait-environment relationship

KW - Faculty of Science

KW - community assembly

KW - hydrology gradient

U2 - 10.1111/jvs.12280

DO - 10.1111/jvs.12280

M3 - Journal article

VL - 26

SP - 619

EP - 630

JO - Journal of Vegetation Science

JF - Journal of Vegetation Science

SN - 1100-9233

IS - 4

ER -

ID: 143082314