PREMISE OF STUDY: Plant functional traits are commonly used as proxies for plant responses to environmental challenges, yet few studies have explored how functional trait distributions differ across gradients of land-use change. By comparing trait distributions in intact forests with those across land-use change gradients, we can improve our understanding of the ways land-use change alters the diversity and functioning of plant communities. METHODS: We examined how the variation and distribution of trait values for seven plant functional traits differ between reference natural forest and three types of land-use conversion (pasture, old-field, or "legacy" sites-regrowth following logging), landscape productivity (NPP) and vegetation strata (tree or non-tree "understory"), in a meta-analysis of studies from 15 landscapes across five continents. KEY RESULTS: Although trait variation often differed between land-uses within a landscape, these patterns were rarely consistent across landscapes. The variance and distribution of traits were more likely to differ consistently between natural forest and land-use conversion categories for understory (non-tree) plants than for trees. Landscape productivity did not significantly alter the difference in trait variance between natural forest and land-use conversion categories for any trait except dispersal. CONCLUSIONS: Our results suggest that even for traits well linked to plant environmental response strategies, broad classes of land-use change and landscape productivity are not generally useful indicators of the mechanisms driving compositional changes in human-modified forest systems.
PREMISE OF STUDY: Plant functional traits are commonly used as proxies for plant responses to environmental challenges, yet few studies have explored how functional trait distributions differ across gradients of land-use change. By comparing trait distributions in intact forests with those across land-use change gradients, we can improve our understanding of the ways land-use change alters the diversity and functioning of plant communities. METHODS: We examined how the variation and distribution of trait values for seven plant functional traits differ between reference natural forest and three types of land-use conversion (pasture, old-field, or "legacy" sites-regrowth following logging), landscape productivity (NPP) and vegetation strata (tree or non-tree "understory"), in a meta-analysis of studies from 15 landscapes across five continents. KEY RESULTS: Although trait variation often differed between land-uses within a landscape, these patterns were rarely consistent across landscapes. The variance and distribution of traits were more likely to differ consistently between natural forest and land-use conversion categories for understory (non-tree) plants than for trees. Landscape productivity did not significantly alter the difference in trait variance between natural forest and land-use conversion categories for any trait except dispersal. CONCLUSIONS: Our results suggest that even for traits well linked to plant environmental response strategies, broad classes of land-use change and landscape productivity are not generally useful indicators of the mechanisms driving compositional changes in human-modified forest systems.
Entities:
Keywords:
community assembly; forest regeneration; functional trait variation; land-use change; net primary productivity; secondary forest; trait distributions
Authors: Tim Newbold; Lawrence N Hudson; Samantha L L Hill; Sara Contu; Igor Lysenko; Rebecca A Senior; Luca Börger; Dominic J Bennett; Argyrios Choimes; Ben Collen; Julie Day; Adriana De Palma; Sandra Díaz; Susy Echeverria-Londoño; Melanie J Edgar; Anat Feldman; Morgan Garon; Michelle L K Harrison; Tamera Alhusseini; Daniel J Ingram; Yuval Itescu; Jens Kattge; Victoria Kemp; Lucinda Kirkpatrick; Michael Kleyer; David Laginha Pinto Correia; Callum D Martin; Shai Meiri; Maria Novosolov; Yuan Pan; Helen R P Phillips; Drew W Purves; Alexandra Robinson; Jake Simpson; Sean L Tuck; Evan Weiher; Hannah J White; Robert M Ewers; Georgina M Mace; Jörn P W Scharlemann; Andy Purvis Journal: Nature Date: 2015-04-02 Impact factor: 49.962
Authors: Oscar J Abelleira Martínez; Alexander K Fremier; Sven Günter; Zayra Ramos Bendaña; Lee Vierling; Sara M Galbraith; Nilsa A Bosque-Pérez; Jenny C Ordoñez Journal: Ecol Evol Date: 2016-06-02 Impact factor: 2.912