2021
DOI: 10.1002/ecy.3259
|View full text |Cite
|
Sign up to set email alerts
|

Mycorrhizal type influences plant density dependence and species richness across 15 temperate forests

Abstract: Recent studies suggest that the mycorrhizal type associated with tree species is an important trait influencing ecological processes such as response to environmental conditions and conspecific negative density dependence (CNDD). However, we lack a general understanding of how tree mycorrhizal type influences CNDD strength and the resulting patterns of species abundance and richness at larger spatial scales. We assessed 305 species across 15 large, stem‐mapped, temperate forest dynamics plots in Northeastern C… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
29
1

Year Published

2021
2021
2024
2024

Publication Types

Select...
7

Relationship

4
3

Authors

Journals

citations
Cited by 30 publications
(30 citation statements)
references
References 75 publications
(122 reference statements)
0
29
1
Order By: Relevance
“…S14) which, while potentially difficult to demonstrate conclusively, has long been held to be the case (Grier and Logan 1977). The spatially autocorrelated spread of saprophytic fungi (Holah et al 1997;Hansen and Goheen 2000), fungal symbionts (e.g., Feng et al 2021;Zhong et al 2021), and soil processes (e.g., Tamjidi and Lutz 2020) likely influenced this spatial relationship and subsequent patterns of deadwood accumulation. Although one might expect to be able to use live biomass as a proxy for deadwood biomass, our observations suggest that this assumption may not hold true.…”
Section: Discussionmentioning
confidence: 99%
“…S14) which, while potentially difficult to demonstrate conclusively, has long been held to be the case (Grier and Logan 1977). The spatially autocorrelated spread of saprophytic fungi (Holah et al 1997;Hansen and Goheen 2000), fungal symbionts (e.g., Feng et al 2021;Zhong et al 2021), and soil processes (e.g., Tamjidi and Lutz 2020) likely influenced this spatial relationship and subsequent patterns of deadwood accumulation. Although one might expect to be able to use live biomass as a proxy for deadwood biomass, our observations suggest that this assumption may not hold true.…”
Section: Discussionmentioning
confidence: 99%
“…S1. lack thereof) among large-diameter trees in temperate forests (Das et al 2008, Larson et al 2015, Lintz et al 2016, Furniss et al 2020, Jiang et al 2020.…”
Section: Discussionmentioning
confidence: 99%
“…Differences in observed crowding across species and diameters reflect vestiges of processes past (dispersal, recruitment, and pre-study mortality events), particularly in late-seral forests (Lutz et al 2014, Furniss et al 2017, 2020; it was therefore necessary to decouple these from the recent spatially explicit survival processes of interest. We controlled for the existing spatial structure of trees to isolate a posteriori survival (Goreaud andPélissier 2003, Larson et al 2015) by centering the crowding index on the mean per species and diameter (Germain and Lutz 2020).…”
Section: Quantifying Diffuse Interactionsmentioning
confidence: 99%
“…Strong CNDD is pervasive in the tropics (Comita et al, 2014; Terborgh, 2012), making it an attractive potential driver of latitudinal patterns of tree diversity. However, there is also increasing support for CNDD as a mechanism that influences tree communities in temperate forests (Jiang et al, 2020, 2021; Johnson et al, 2012, 2014; McCarthy‐Neumann & Kobe, 2010; Ramage et al, 2017). While this work illustrates the potential for CNDD to drive population dynamics in temperate systems, there is wide variation in the strength of CNDD among tree species (Bennett et al, 2017; Johnson et al, 2014) and along environmental gradients (LaManna et al, 2016; Smith & Reynolds, 2015).…”
Section: Introductionmentioning
confidence: 99%