Which traits predict pairwise interactions in a mountain grassland?. (13th April 2020)
- Record Type:
- Journal Article
- Title:
- Which traits predict pairwise interactions in a mountain grassland?. (13th April 2020)
- Main Title:
- Which traits predict pairwise interactions in a mountain grassland?
- Authors:
- Herben, Tomáš
Hadincová, Věra
Krahulec, František
Pecháčková, Sylvie
Skálová, Hana - Editors:
- de Bello, Francesco
- Abstract:
- Abstract: Aim: The outcome of interaction between plant individuals is often expected to be determined by differences in their sizes with other traits playing minor roles. However, such findings typically come from manipulative experiments in experimental gardens. Consequently, little is known about the relative roles of size vs other traits in the field, particularly in communities other than forests. Here we aimed; (a) to determine the relative role of size‐related traits in pairwise interactions between common species in a species‐rich grassland community; and (b) to determine which other traits predict outcomes of such interactions in the field, and which traits predict mean competitive effects and responses of individual species. Location: The Krkonoše Mts., Czech Republic. Methods: We fitted dynamic models with explicit terms for pairwise interactions on a 31‐year long data series of spatially explicit ramet counts of 19 coexisting species in a mountain meadow. We compared these fits with those having total neighbour biomass as the only competition term to determine whether accounting for pairwise interactions increases model fit. Further we linked estimates of the parameters of pairwise interactions with species traits, including size‐related traits. Results: Comparison of models with and without pairwise predictors showed that pairwise interactions provided better fits only in less than half of the cases. The main determinant of competitive interactions was leaf areaAbstract: Aim: The outcome of interaction between plant individuals is often expected to be determined by differences in their sizes with other traits playing minor roles. However, such findings typically come from manipulative experiments in experimental gardens. Consequently, little is known about the relative roles of size vs other traits in the field, particularly in communities other than forests. Here we aimed; (a) to determine the relative role of size‐related traits in pairwise interactions between common species in a species‐rich grassland community; and (b) to determine which other traits predict outcomes of such interactions in the field, and which traits predict mean competitive effects and responses of individual species. Location: The Krkonoše Mts., Czech Republic. Methods: We fitted dynamic models with explicit terms for pairwise interactions on a 31‐year long data series of spatially explicit ramet counts of 19 coexisting species in a mountain meadow. We compared these fits with those having total neighbour biomass as the only competition term to determine whether accounting for pairwise interactions increases model fit. Further we linked estimates of the parameters of pairwise interactions with species traits, including size‐related traits. Results: Comparison of models with and without pairwise predictors showed that pairwise interactions provided better fits only in less than half of the cases. The main determinant of competitive interactions was leaf area and, to a lesser extent, mean ramet biomass; there was an additional signal of difference in rooting depth. Conclusion: Plant size and overall biomass have overwhelming effects on species‐to‐species interactions even in unproductive grassland communities, despite low differentiation of plant species along the size axis there. However, the weak albeit detectable signal of predictors not related to size of pairwise interactions points to possible mechanisms of within‐community niche differentiation, which can be captured by inter‐specific difference in functional traits and tested experimentally. Abstract : Mountain meadows are often extremely species‐rich with a number of forbs and grasses co‐occurring at one spot. We show that while their coexistence is driven by competition for light, there are more subtle mechanisms of pairwise interactions between species that are indicative of niche differentiation and contribute to their species richness. … (more)
- Is Part Of:
- Journal of vegetation science. Volume 31:Number 5(2020:Sep.)
- Journal:
- Journal of vegetation science
- Issue:
- Volume 31:Number 5(2020:Sep.)
- Issue Display:
- Volume 31, Issue 5 (2020)
- Year:
- 2020
- Volume:
- 31
- Issue:
- 5
- Issue Sort Value:
- 2020-0031-0005-0000
- Page Start:
- 699
- Page End:
- 710
- Publication Date:
- 2020-04-13
- Subjects:
- competitive effect -- competitive response -- dynamic model -- long‐term permanent plots -- niche differentiation -- pairwise interactions -- plant size
Plant ecology -- Periodicals
Plant communities -- Periodicals
Plant populations -- Periodicals
581.7 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1654-1103 ↗
http://onlinelibrary.wiley.com/ ↗
http://mclink.library.mcgill.ca/sfx?url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&rfr_id=info:sid/sfxit.com:opac_856&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&sfx.ignore_date_threshold=1&rft.object_id=954925610940&svc_val_fmt=info:ofi/fmt:kev:mtx:sch_svc& ↗
http://www.opuluspress.se ↗ - DOI:
- 10.1111/jvs.12872 ↗
- Languages:
- English
- ISSNs:
- 1100-9233
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5072.277000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 14354.xml