Počet záznamů: 1
Differences in trait–environment relationships: Implications for community weighted means tests
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SYSNO ASEP 0574017 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Differences in trait–environment relationships: Implications for community weighted means tests Tvůrce(i) Lepš, Jan (BC-A) RID, ORCID
de Bello, F. (CZ)Celkový počet autorů 2 Zdroj.dok. Journal of Ecology. - : Wiley - ISSN 0022-0477
Roč. 111, č. 11 (2023), s. 2328-2341Poč.str. 14 s. Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova adaptation ; community assembly ; environmental gradient Vědní obor RIV EH - Ekologie - společenstva Obor OECD Ecology Způsob publikování Open access Institucionální podpora BC-A - RVO:60077344 UT WOS 001037922500001 EID SCOPUS 85166229522 DOI 10.1111/1365-2745.14172 Anotace 1. One of J.P. Grime's greatest achievements was demonstrating the importance of the relationship between the environment and plant functional traits for understanding community assembly processes and the effects of biodiversity on ecosystem functioning. A popular approach assessing trait–environment relationships is the community weighted means (CWMs) method, which evaluates changes in communities' average trait values along gradients, with Grime being among its first practitioners.
2. Today the CWM method is well-established but some scholars have criticized it for inflated Type I errors. That is, in some scenarios of compositional turnover along a gradient, CWM tests can provide significant results even for randomly generated traits. Null models have been proposed to correct for such effects by randomizing trait values across species (CWM-sp). We review different approaches relating traits to the environment within the framework of the accepted dichotomy between species-level (observations are species) versus community-level (observations are community parameters) analyses. Between these families of analyses and their combinations, a great variety of methods exist that test different trait–environment relationships, each with different null hypotheses and ecological questions.
3. In classic CWM tests, the null hypothesis focuses on characteristics of trait distributions at the community level along gradients. The Type I error rate should not be a priori considered inflated when this test is used to identify changes in community trait structure affecting the functioning of communities. Trait changes observed with CWM tests may be accurate, but the interpretation that a specific trait drives turnover may be fallacious. Approaches like CWM-sp may be more appropriate for testing other ecological hypotheses, such as whether trait–environment relationships are widespread across species. In effect, this moves the ecological focus towards species-level analyses, that is on the adaptive value of traits and their relation to species niches.
4. Synthesis. There is no single trait–environment relationship. Species-level and community-level analyses, including variants within them, test different relationships with different null hypotheses, such that the potential for inflated error rates can be misleading. Using a spectrum of methods provides a comprehensive picture of the diversity of trait–environment relationships.Pracoviště Biologické centrum (od r. 2006) Kontakt Dana Hypšová, eje@eje.cz, Tel.: 387 775 214 Rok sběru 2024 Elektronická adresa https://besjournals.onlinelibrary.wiley.com/doi/epdf/10.1111/1365-2745.14172
Počet záznamů: 1