scholarly journals Intraspecific Trait Variation Dilutes Deterministic Processes in Community Assembly of Arid Shrubs across Multiple Scales

Diversity ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 447
Author(s):  
Jinshi Xu ◽  
Han Dang ◽  
Tingting Tian ◽  
Yongfu Chai ◽  
Jiaxin Quan ◽  
...  

Trait-based approaches present a promising avenue for improving our understanding of species coexistence and community assembly, while intraspecific trait variation (ITV) across different spatial scales is important in trait-based community assembly mechanisms, especially in extreme environments. In this study, we focused on the functional diversity and community assembly patterns of a desert community across different spatial scales and investigated whether ITV plays a significant role in community assembly processes in arid habitats. A 50 m × 50 m plot with different small quadrats was established in a typical desert community at the transition zone between the Tengger Desert and Loess Plateau in China. A total of 14 traits were selected to assess the trait-based functional diversity and assembly processes in the community. We found that functional diversity showed different patterns when considering ITV and related to different types of traits (chemical traits or morphological traits) and some soil factors (pH and nitrate nitrogen). Plant communities in this study showed stochastic distribution patterns and similar functional diversity patterns based on functional trait approaches, regardless of spatial scales. Also, the effect of ITV on community assembly did not show more effect with increasing scales. These results indicated that ITV diluted deterministic processes in community assembly across scales in arid habitats.

2020 ◽  
Author(s):  
Isaac Overcast ◽  
Megan Ruffley ◽  
James Rosindell ◽  
Luke Harmon ◽  
Paulo A. V. Borges ◽  
...  

AbstractBiodiversity accumulates hierarchically by means of ecological and evolutionary processes and feedbacks. Reconciling the relative importance of these processes is hindered by current theory, which tends to focus on a single spatial, temporal or taxonomic scale. We introduce a mechanistic model of community assembly, rooted in classic island biogeography theory, which makes temporally explicit joint predictions across three biodiversity data axes: i) species richness and abundances; ii) population genetic diversities; and iii) trait variation in a phylogenetic context. We demonstrate that each data axis captures information at different timescales, and that integrating these axes enables discriminating among previously unidentifiable community assembly models. We combine our massive eco-evolutionary synthesis simulations (MESS) with supervised machine learning to fit the parameters of the model to real data and infer processes underlying how biodiversity accumulates, using communities of tropical trees, arthropods, and gastropods as case studies that span a range of spatial scales.


2016 ◽  
Vol 31 (3) ◽  
pp. 604-612 ◽  
Author(s):  
Adam R. Martin ◽  
Bruno Rapidel ◽  
Olivier Roupsard ◽  
Karel Van den Meersche ◽  
Elias Melo Virginio Filho ◽  
...  

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Marney E. Isaac ◽  
Adam R. Martin

Abstract Trait-based ecology is greatly informed by large datasets for the analyses of inter- and intraspecific trait variation (ITV) in plants. This is especially true in trait-based agricultural research where crop ITV is high, yet crop trait data remains limited. Based on farmer-led collections, we developed and evaluated the first citizen science plant trait initiative. Here we generated a dataset of eight leaf traits for a commercially important crop species (Daucus carota), sampled from two distinct regions in Canada, which is 25-fold larger than datasets available in existing trait databases. Citizen-collected trait data supported analyses addressing theoretical and applied questions related to (i) intraspecific trait dimensionality, (ii) the extent and drivers of ITV, and (iii) the sampling intensity needed to derive accurate trait values. Citizen science is a viable means to enhance functional trait data coverage across terrestrial ecosystems, and in doing so, can directly support theoretical and applied trait-based analyses of plants.


2012 ◽  
Vol 15 (11) ◽  
pp. 1291-1299 ◽  
Author(s):  
Daniel C. Laughlin ◽  
Chaitanya Joshi ◽  
Peter M. van Bodegom ◽  
Zachary A. Bastow ◽  
Peter Z. Fulé

2019 ◽  
Vol 12 ◽  
pp. 194008291989385
Author(s):  
Hui Zhang ◽  
Wanhui Ye ◽  
Juyu Lian

Functional redundancy is an important tool for justifying and prioritizing species protection in forest ecosystem, but it is a scale-dependent. If functional redundancy really exists, functional trait composition tends to have higher predictive ability of community assembly than species composition. Thus, comparing the differences in the predictive ability of community assembly between species and functional trait compositions across spatial scale represents a useful tool to quantify how functional redundancy varies across spatial scales. Here, we used variation partitioning in combination with distance-based Moran’s eigenvector maps to compare the differences in the predictive ability of community assembly between species composition and functional trait composition across spatial scales (20, 30, 40, 50, and 100 m) in a 20-ha subtropical forest plot. We found that functional trait composition possessed higher predictive ability of niche-based abiotic filtering process than species composition within 40 m. At 50 and 100 m scales, both species and functional trait compositions had approximately equal predictive ability of dispersal limitation processes. Thus, functional redundancy can only exist within 40 m scale but not 50 and 100 m scales. As a result, priority species loss protection should be performed at 50 and 100 m scales.


2021 ◽  
Author(s):  
Elisabeth M. V. Myers ◽  
Marti J. Anderson ◽  
Libby Liggins ◽  
Euan S. Harvey ◽  
Clive D. Roberts ◽  
...  

2017 ◽  
Vol 8 (11) ◽  
pp. 1499-1505 ◽  
Author(s):  
Samuel R. P.‐J. Ross ◽  
Christopher Hassall ◽  
William J. E. Hoppitt ◽  
Felicity A. Edwards ◽  
David P. Edwards ◽  
...  

2021 ◽  
Author(s):  
Melissa Johnson

Abstract Tropical rainforest communities are often characterized by a small number of species-rich genera that contribute disproportionately to the alpha diversity in these habitats. In the Pacific Basin there are nearly 200 species of Cyrtandra, most of which are white-flowered woody shrubs that are single-island endemics. Within these island communities, multiple Cyrtandra species are commonly observed to occur sympatrically in wet forest understories, forming swarms of what appear to be ecologically similar taxa. The aim of this study was to determine if communities of these plants are randomly assembled with respect to phylogenetic relatedness and traits that are ecologically relevant. Using a combination of ten functional traits and a well-resolved species phylogeny, I examined community assembly within 34 species of Cyrtandra across three Pacific archipelagoes. Coexisting species were generally found to be more closely related and more phenotypically similar than would be expected by chance. This pattern was observed at both broad (island communities) and fine (site communities) spatial scales. The retention of phylogenetic signal in floral traits and the strong influence of these traits on the observed degree of phylogenetic clustering may indicate that pollinators act as a biotic filter for closely related species of Cyrtandra. In contrast, the absence of phylogenetic signal in most leaf traits, coupled with the lower contribution of these traits to niche clustering, suggests that environmental filtering along this trait axis is minimal in the observed communities. This study supports the theory that plant communities are not randomly assembled, and instead, that niche-based processes structure biodiversity at broad and fine spatial scales in diverse congeneric species assemblages.


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