Browsing by Autor "T. Bruce Lauber"

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Author Correction: Native diversity buffers against severity of non-native tree invasions
(Nature Portfolio, 2023) Camille S. Delavaux; Thomas W. Crowther; Constantin M. Zohner; Niamh M. Robmann; T. Bruce Lauber; Johan van den Hoogen; Sara E. Kuebbing; Jingjing Liang; Sergio de‐Miguel; G.J. Nabuurs
Correction to: Nature Published online 23 August 2023 In the version of the article initially published, Stanislaw Miscicki’s name incorrectly appeared as Miscicki Stanislaw. Additionally, the affiliation for Thomas T. Ibanez has been updated to “AMAP, University of Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France”, and the second affiliation for Sharif A. Mukul has been updated to “Department of Environment and Development Studies, United International University, Dhaka, Bangladesh”. The corrections have been made to the HTML and PDF versions of the article
Dominance and rarity in tree communities across the globe: Patterns, predictors and threats
(Wiley, 2024) Iris Hordijk; Lalasia Bialic‐Murphy; T. Bruce Lauber; Devin Routh; Lourens Poorter; Malin Rivers; Hans ter Steege; Jingjing Liang; Peter B. Reich; Sergio de‐Miguel
Abstract Aim Ecological and anthropogenic factors shift the abundances of dominant and rare tree species within local forest communities, thus affecting species composition and ecosystem functioning. To inform forest and conservation management it is important to understand the drivers of dominance and rarity in local tree communities. We answer the following research questions: (1) What are the patterns of dominance and rarity in tree communities? (2) Which ecological and anthropogenic factors predict these patterns? And (3) what is the extinction risk of locally dominant and rare tree species? Location Global. Time period 1990–2017. Major taxa studied Trees. Methods We used 1.2 million forest plots and quantified local tree dominance as the relative plot basal area of the single most dominant species and local rarity as the percentage of species that contribute together to the least 10% of plot basal area. We mapped global community dominance and rarity using machine learning models and evaluated the ecological and anthropogenic predictors with linear models. Extinction risk, for example threatened status, of geographically widespread dominant and rare species was evaluated. Results Community dominance and rarity show contrasting latitudinal trends, with boreal forests having high levels of dominance and tropical forests having high levels of rarity. Increasing annual precipitation reduces community dominance, probably because precipitation is related to an increase in tree density and richness. Additionally, stand age is positively related to community dominance, due to stem diameter increase of the most dominant species. Surprisingly, we find that locally dominant and rare species, which are geographically widespread in our data, have an equally high rate of elevated extinction due to declining populations through large‐scale land degradation. Main conclusions By linking patterns and predictors of community dominance and rarity to extinction risk, our results suggest that also widespread species should be considered in large‐scale management and conservation practices.
Native diversity buffers against severity of non-native tree invasions
(Nature Portfolio, 2023) Camille S. Delavaux; Thomas W. Crowther; Constantin M. Zohner; Niamh M. Robmann; T. Bruce Lauber; Johan van den Hoogen; Sara E. Kuebbing; Jingjing Liang; Sergio de‐Miguel; G.J. Nabuurs
Determining the drivers of non-native plant invasions is critical for managing native ecosystems and limiting the spread of invasive species1,2. Tree invasions in particular have been relatively overlooked, even though they have the potential to transform ecosystems and economies3,4. Here, leveraging global tree databases5-7, we explore how the phylogenetic and functional diversity of native tree communities, human pressure and the environment influence the establishment of non-native tree species and the subsequent invasion severity. We find that anthropogenic factors are key to predicting whether a location is invaded, but that invasion severity is underpinned by native diversity, with higher diversity predicting lower invasion severity. Temperature and precipitation emerge as strong predictors of invasion strategy, with non-native species invading successfully when they are similar to the native community in cold or dry extremes. Yet, despite the influence of these ecological forces in determining invasion strategy, we find evidence that these patterns can be obscured by human activity, with lower ecological signal in areas with higher proximity to shipping ports. Our global perspective of non-native tree invasion highlights that human drivers influence non-native tree presence, and that native phylogenetic and functional diversity have a critical role in the establishment and spread of subsequent invasions.