Co-occurrences of tropical trees in eastern South America: disentangling abiotic and biotic forces

Marjakangas, Emma‐Liina; Ovaskainen, Otso; Abrego, Nerea; Grøtan, Vidar; Oliveira, Alexandre Adalardo de; Prado, Paulo Inácio; Lima, Renato A. F. de

doi:10.1007/s11258-021-01143-3

Cited by 6 publications

(8 citation statements)

References 63 publications

(84 reference statements)

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“…After having accounted for the fixed effects, and similar to other HMSC works, the random effects in the model explain a large proportion of the variance (Chiu et al 2020, Marjakangas et al 2021, Weigel et al 2023, especially the spatial random effect (i.e. 50%).…”

Section: Discussionmentioning

confidence: 93%

“…Hierarchical modeling of species communities (HMSC; Ovaskainen et al 2017, Ovaskainen and) is a recent Bayesian JSDMs framework that has been applied to study a variety of natural communities and with different purposes, such as studying biogeographical processes, phenological changes or towards conservation and management (Murillo et al 2020, Elo et al 2021, Marjakangas et al 2021, Odriozola et al 2021, Weigel et al 2021. HMSC is strongly rooted within community ecology theory by linking model setup and outputs to the underlying community assembly rules that define community composition (Ovaskainen and Abrego 2020).…”

Section: Introductionmentioning

confidence: 99%

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Community assembly processes and drivers shaping marine fish community structure in the North Sea

Montanyès,

Weigel,

Lindegren

2023

Ecography

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To preserve natural ecosystems and their biodiversity, there is a need to anticipate future ecosystem changes through better understanding of underlying drivers and assembly processes determining community composition. Assembly processes can be understood as a set of filters acting at different spatio‐temporal scales that jointly define the structure and composition of communities. Here, we explore the underlying assembly processes shaping marine fish species distribution and composition, using the heavily exploited North Sea. Our aims are to study 1) the relative importance of the different assembly processes shaping marine fish communities, 2) the key environmental drivers determining species distributions and composition, and to 3) quantify the role of traits in determining species niches and responses to the environment. Specifically, we fit a joint species distribution model (JSDM) using 31 years of standardized scientific bottom trawl survey data for 67 fish species. We use a set of environmental variables and species' traits representing morphology, life history, reproduction and diet, while also accounting for phylogenetic relationships of species. Environmental variables, primarily related to temperature, explained over one third of the variance in species occurrence, while spatial effects explained half of the variability across species. This shows that environmental filtering and spatially‐structured processes are the main drivers shaping the community assembly. Furthermore, among the total variance of individual species occurrences, 12.5% could be explained by traits, which improve the mechanistic understanding on species responses to environmental change. Hence, model predictions from JSDMs accounting for traits, environmental niches and potential interactions among multiple species can provide relevant simulations and forecasts with the potential to inform spatial management and conservation efforts aiming to preserve biodiversity and its associated services vital for human well‐being.

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Section: Discussionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Community assembly processes and drivers shaping marine fish community structure in the North Sea

Montanyès,

Weigel,

Lindegren

2023

Ecography

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“…The latter process is often overlooked while it can significantly influence the success of invaders (Altieri et al, 2010). Hence, combining our approach with other modelling techniques (Ovaskainen et al, 2017), might provide information about species co-occurrences after accounting for all the possible variation due to the environment (Elo et al, 2021;Marjakangas et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

A trait-based approach to assess niche overlap and functional distinctiveness between non-indigenous and native species

Vivó-Pons

Blomqvist²,

Törnroos

et al. 2022

Preprint

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Non-indigenous species (NIS) pose a major threat to biodiversity and the structure and functioning of ecosystems worldwide. However, our understanding of the underlying assembly processes acting on NIS, as well as the relationship with native species is limited, especially in marine ecosystems. To overcome this knowledge gap we here developed a trait-based approach to assess niche overlap and functional distinctiveness between NIS and native species, using high-resolution data on benthic invertebrate communities in the Baltic Sea as a case study. Our results show a moderate degree of functional distinctiveness of NIS if considering the entire trait space, but significant differences in individual traits, notably adult life span, size and bioturbation. This indicates that NIS may successfully establish by displaying only one or a few singular traits, while retaining a certain degree of similarity with the natives. Furthermore, we demonstrate pronounced spatial patterns in distinctiveness, largely explained by environmental conditions and biotic effects channeled through species richness and evenness. Hence, several community assembly processes, including environmental filtering and limiting similarity may affect the establishment and success of NIS, while their effect and relative importance may be highly context dependent. Finally, our trait-based approach provides a generic framework applicable to other areas and organisms, to better understand and address biological invasions and their impacts on biodiversity and marine ecosystem functioning at large.

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“…Likewise, for phylogenetic relatedness, we calculated the pairwise phylogenetic distances for species pairs with significant associations (function cophenetic.phylo in the R package ape ; Paradis and Schliep 2019). We then used a Mantel test with 1000 permutations to assess Spearman's correlations between pairwise associations and functional dissimilarity/phylogenetic distance (function mantel in the R package vegan ; Oksanen et al 2020; Marjakangas et al 2021).…”

Section: Methodsmentioning

confidence: 99%

“…Functional traits may be influenced by the evolutionary relationships between species and are often shared among closely related taxa (Kraft et al 2008), which are expected to respond similarly to abiotic factors (Webb et al 2002). Alternatively, strong environmental filtering could cause convergence of key functional traits even among phylogenetically distant taxa (Swenson 2013; Marjakangas et al 2021). Such increased ecological similarity can increase competitive interactions among co‐occurring taxa, leading to a greater role of species interactions in shaping communities (MacArthur and Levins 1967; but see Mayfield and Levine 2010).…”

mentioning

confidence: 99%

Local‐scale abiotic factors influence the organization of rock pool arthropod communities in a biodiversity hotspot

Kulkarni,

Paripatyadar,

Naniwadekar

et al. 2023

Limnology & Oceanography

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Determining drivers of community assembly is central to ecology, and patchily distributed temporary habitats offer an ideal system to study the roles of ecological and evolutionary processes in structuring communities over different spatial scales. We studied functionally diverse arthropod communities in 32 freshwater rock pools on 3 plateaus in the Western Ghats biodiversity hotspot, sampling them throughout their hydroperiod (2–7 months). Using the Hierarchical Modeling of Species Communities approach, we assessed (a) the influence of local (water chemistry, habitat complexity at the pool level) and regional (seasonality in temperature and precipitation at the plateau level) scale abiotic covariates in shaping species' occurrence, (b) the influence of species traits (dispersal/reproductive mode, body size, feeding guild) and phylogenetic relationships on species response to abiotic covariates, and (c) the strength of biotic filtering in the communities. Environmental filtering was the dominant driver of community structure, where the pool‐level covariates (mainly hydroperiod and water chemistry), explained greater variation (56.3%) in species occurrences rather than plateau‐level covariates, that is, climatic seasonality (33.7%). Spatial factors explained only 11% of the variation in species occurrences. The selected traits explained 22% variation in species' responses, with body size responding to the abiotic covariates at both spatial scales. Closely related taxa exhibited shared responses to the abiotic covariates. Only a few residual associations were observed, all among passive dispersers, indicating a low contribution of biotic filtering to community structure. Our results highlight the importance of habitat‐level factors and the key role of evolutionary processes in shaping diversity in this vulnerable landscape characterized by its seasonality.

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Co-occurrences of tropical trees in eastern South America: disentangling abiotic and biotic forces

Cited by 6 publications

References 63 publications

Community assembly processes and drivers shaping marine fish community structure in the North Sea

Community assembly processes and drivers shaping marine fish community structure in the North Sea

A trait-based approach to assess niche overlap and functional distinctiveness between non-indigenous and native species

Local‐scale abiotic factors influence the organization of rock pool arthropod communities in a biodiversity hotspot

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