2019
DOI: 10.1186/s13717-018-0154-4
|View full text |Cite
|
Sign up to set email alerts
|

Functional perspectives on tropical tree demography and forest dynamics

Abstract: Disentangling the processes that drive population, community and whole forest structure and dynamics is a challenge. It becomes a grand challenge in the tropics where there are a large number of species, small population sizes, less research infrastructure, and a relatively smaller number of researchers compared to the temperate zone. Tackling this grand challenge, we argue, requires detailed knowledge of the functioning of individuals and species. To this end, researchers frequently employ plant functional tr… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

1
28
1

Year Published

2020
2020
2023
2023

Publication Types

Select...
5
1
1

Relationship

2
5

Authors

Journals

citations
Cited by 28 publications
(30 citation statements)
references
References 142 publications
(187 reference statements)
1
28
1
Order By: Relevance
“…First, while some have found moderately strong or strong relationships between traits and demographic performance, these studies have been the exception and not the rule. Indeed, most studies find surprisingly little variation in demography explained by commonly measured traits (Yang et al 2018;Worthy and Swenson 2019). Second, the empirical failure to routinely and robustly link functional traits to demographic rates and underappreciated conceptual connections have limited a synthesis between trait-based population and community ecology and evolutionary ecology (McGill et al 2006).…”
mentioning
confidence: 99%
“…First, while some have found moderately strong or strong relationships between traits and demographic performance, these studies have been the exception and not the rule. Indeed, most studies find surprisingly little variation in demography explained by commonly measured traits (Yang et al 2018;Worthy and Swenson 2019). Second, the empirical failure to routinely and robustly link functional traits to demographic rates and underappreciated conceptual connections have limited a synthesis between trait-based population and community ecology and evolutionary ecology (McGill et al 2006).…”
mentioning
confidence: 99%
“…However, studies that found a moderate or strong trait-growth rate relationship are an exception (Swenson et al, 2020). In this sense, recent studies have concentrated efforts in understanding why weak relationships are frequent and defining standardized protocols for studies of trait-based community ecology (Caruso et al, 2020;Swenson et al, 2020;Worthy & Swenson, 2019;Yang et al, 2018). Some methodological aspects of sampling may affect the ability of traits to predict growth rates, such as 1) lack of environmental context, 2) use of nonfunctional traits, 3) approaches that do not contemplate phenotypic integration, and 4) neglect of intraspecific variation (Yang et al, 2018;Yang et al, 2020;Worthy & Swenson, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…For example, in high-light environments, physiological traits related to photosynthetic nutrient use efficiency are highly related to growth (Guimarães et al, 2018), while in low-light environments, morphological traits related to light interception are highly related to growth (Liu et al, 2016). Studies that examine the effects of environmental contexts on trait-trait and trait-growth relationships are necessary, especially in tropical forests (Worthy & Swenson, 2019).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Averaging trait values of individuals across the species ignores individual level trait variation, limiting the ability of traits to predict individual growth rates (Liu et al 2016, Umaña et al 2018. Individuals traits may predict better the growth performance of individuals, as trait differences determine individuals' growth strategies (Yang et al 2018, Worthy & Swenson 2019.…”
Section: Introductionmentioning
confidence: 99%