2012
DOI: 10.1111/j.1365-2486.2012.02783.x
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Improving plant functional groups for dynamic models of biodiversity: at the crossroads between functional and community ecology

Abstract: The pace of on-going climate change calls for reliable plant biodiversity scenarios. Traditional dynamic vegetation models use plant functional types that are summarized to such an extent that they become meaningless for biodiversity scenarios. Hybrid dynamic vegetation models of intermediate complexity (hybrid-DVMs) have recently been developed to address this issue. These models, at the crossroads between phenomenological and process-based models, are able to involve an intermediate number of well-chosen pla… Show more

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Cited by 74 publications
(95 citation statements)
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“…If distributions of traits provide more direct information on function than do distributions of the species that possess them, they may clarify some mechanisms (Kraft et al 2008, Mokany et al 2008, Lamanna et al 2014 and simplify biodiversity in models to a few trait-defined plant functional types (PFTs) (Boulangeat et al 2012). If distributions of traits provide more direct information on function than do distributions of the species that possess them, they may clarify some mechanisms (Kraft et al 2008, Mokany et al 2008, Lamanna et al 2014 and simplify biodiversity in models to a few trait-defined plant functional types (PFTs) (Boulangeat et al 2012).…”
Section: Introductionmentioning
confidence: 99%
“…If distributions of traits provide more direct information on function than do distributions of the species that possess them, they may clarify some mechanisms (Kraft et al 2008, Mokany et al 2008, Lamanna et al 2014 and simplify biodiversity in models to a few trait-defined plant functional types (PFTs) (Boulangeat et al 2012). If distributions of traits provide more direct information on function than do distributions of the species that possess them, they may clarify some mechanisms (Kraft et al 2008, Mokany et al 2008, Lamanna et al 2014 and simplify biodiversity in models to a few trait-defined plant functional types (PFTs) (Boulangeat et al 2012).…”
Section: Introductionmentioning
confidence: 99%
“…инструментом для обоснования прогнозных оценок изменения экологических и лесохозяйственных функций лесных экосистем при принятии решений в рамках реализации концепции устойчивого лесопользования в меняющихся природных и экономических условиях [1][2][3][4][5]. В последние годы в области экологического моделирования стала насущной задача учета роли напочвенного покрова в общей структуре и функционировании лесных экосистем [1,[6][7][8]. Напочвенный покров, под которым будем понимать травяно-кустарничковый и мохово-лишайниковый ярусы лесного растительного сообщества, определяет реализацию множества экосистемных функций биоты [9][10][11], является индикатором лесорастительных условий, регулятором микроклиматических и микробиологических процессов [12], важным компонентом круговорота органического вещества в лесной экосистеме [9][10][11][12][13][14][15].…”
unclassified
“…FATE‐HD has been parameterized for 24 PFGs representative of both the taxonomic and functional diversity of the rich flora in the ENP (Boulangeat et al . ). They consist of six chamaephyte groups (C1‐6), 10 herbaceous groups (H1‐10) and eight phanerophyte groups (P1‐8), each occupying up to five height strata and passing through four ages (1–4) that have different responses to disturbances (see Table S1 in Appendix S1).…”
Section: Methodsmentioning
confidence: 97%