scholarly journals Distance decay 2.0 – a global synthesis of taxonomic and functional turnover in ecological communities

2021 ◽  
Author(s):  
Caio Graco-Roza ◽  
Sonja Aarnio ◽  
Nerea Abrego ◽  
Alicia T. R. Acosta ◽  
Janne Alahuhta ◽  
...  

AbstractUnderstanding the variation in community composition and species abundances, i.e., β-diversity, is at the heart of community ecology. A common approach to examine β-diversity is to evaluate directional turnover in community composition by measuring the decay in the similarity among pairs of communities along spatial or environmental distances. We provide the first global synthesis of taxonomic and functional distance decay along spatial and environmental distance by analysing 149 datasets comprising different types of organisms and environments. We modelled an exponential distance decay for each dataset using generalized linear models and extracted r2 and slope to analyse the strength and the rate of the decay. We studied whether taxonomic or functional similarity has stronger decay across the spatial and environmental distances. We also unveiled the factors driving the rate of decay across the datasets, including latitude, spatial extent, realm, and organismal features. Taxonomic distance decay was stronger along spatial and environmental distances compared with functional distance decay. The rate of taxonomic spatial distance decay was the fastest in the datasets from mid-latitudes while the rate of functional decay increased with latitude. Overall, datasets covering larger spatial extents showed a lower rate of decay along spatial distances but a higher rate of decay along environmental distances. Marine ecosystems had the slowest rate of decay. This synthesis is an important step towards a more holistic understanding of patterns and drivers of taxonomic and functional β-diversity.

2019 ◽  
Vol 49 (6) ◽  
pp. 2887-2899
Author(s):  
Sonja Aarnio ◽  
Anette Teittinen ◽  
Janne Soininen

AbstractDifferent metacommunity perspectives have been developed to describe the relationship between environmental and spatial factors and their relative roles for local communities. However, only little is known about temporal variation in metacommunities and their underlying drivers. We examined temporal variation in the relative roles of environmental and spatial factors for diatom community composition among brackish-watered rock pools on the Baltic Sea coast over a 3-month period. We used a combination of direct ordination, variation partition, and Mantel tests to investigate the metacommunity patterns. The studied communities housed a mixture of freshwater, brackish, and marine species, with a decreasing share of salinity tolerant species along both temporal and spatial gradients. The community composition was explained by both environmental and spatial variables (especially conductivity and distance from the sea) in each month; the joint effect of these factors was consistently larger than the pure effects of either variable group. Community similarity was related to both environmental and spatial distance between the pools even when the other variable group was controlled for. The relative influence of environmental factors increased with time, accounting for the largest share of the variation in species composition and distance decay of similarity in July. Metacommunity organization in the studied rock pools was probably largely explained by a combination of species sorting and mass effect given the small spatial study scale. The found strong distance decay of community similarity indicates spatially highly heterogeneous diatom communities mainly driven by temporally varying conductivity gradient at the marine-freshwater transition zone.


2018 ◽  
Vol 115 (23) ◽  
pp. 6016-6021 ◽  
Author(s):  
Denon Start ◽  
Shannon McCauley ◽  
Benjamin Gilbert

Trait-based community ecology promises an understanding of the factors that determine species abundances and distributions across habitats. However, ecologists are often faced with large suites of potentially important traits, making generalizations across ecosystems and species difficult or even impossible. Here, we hypothesize that key traits structuring ecological communities may be causally dependent on common physiological mechanisms and that elucidating these mechanisms can help us understand the distributions of traits and species across habitats. We test this hypothesis by investigating putatively causal relationships between physiological and behavioral traits at the species and community levels in larvae of 17 species of dragonfly that co-occur at the landscape scale but segregate among lakes. We use tools borrowed from phenotypic selection analyses to show that physiological traits underlie activity rate, which has opposing effects on foraging and predator avoidance behaviors. The effect of activity on these behaviors ultimately shapes species distributions and community composition in habitats with either large-bodied fish or invertebrates as top predators. Remarkably, despite the inherent complexity of ecological communities, the expression of just two biomolecules accounts for a high proportion of the variation in behavioral traits and hence, dragonfly community composition between habitats. We suggest that causal relationships among traits can drive species distributions and community assembly.


2020 ◽  
Vol 96 (5) ◽  
Author(s):  
Xiaoliang Jiang ◽  
Wenzhi Liu ◽  
Lunguang Yao ◽  
Guihua Liu ◽  
Yuyi Yang

ABSTRACT The relative importance of local environments and dispersal limitation in shaping denitrifier community structure remains elusive. Here, we collected soils from 36 riverine, lacustrine and palustrine wetland sites on the remote Tibetan Plateau and characterized the soil denitrifier communities using high-throughput amplicon sequencing of the nirS and nirK genes. Results showed that the richness of nirS-type denitrifiers in riverine wetlands was significantly higher than that in lacustrine wetlands but not significantly different from that in palustrine wetlands. There was no clear distinction in nir community composition among the three kinds of wetlands. Irrespective of wetland type, the soil denitrification rate was positively related to the abundance, but not the α-diversity, of denitrifying communities. Soil moisture, carbon availability and soil temperature were the main determinants of diversity [operational taxonomic unit (OTU) number] and abundance of thenirS-type denitrifier community, while water total organic carbon, soil NO3– and soil moisture were important in controlling nirK-type denitrifier diversity and abundance. The nirS community composition was influenced by water electrical conductivity, soil temperature and water depth, while the nirK community composition was affected by soil electrical conductivity. Spatial distance explained more variation in the nirS community composition than in the nirK community composition. Our findings highlight the importance of both environmental filtering and spatial distance in explaining diversity and biogeography of soil nir communities in remote and relatively undisturbed wetlands.


2015 ◽  
Vol 370 (1662) ◽  
pp. 20140008 ◽  
Author(s):  
Hironori Toyama ◽  
Tsuyoshi Kajisa ◽  
Shuichiro Tagane ◽  
Keiko Mase ◽  
Phourin Chhang ◽  
...  

Ecological communities including tropical rainforest are rapidly changing under various disturbances caused by increasing human activities. Recently in Cambodia, illegal logging and clear-felling for agriculture have been increasing. Here, we study the effects of logging, mortality and recruitment of plot trees on phylogenetic community structure in 32 plots in Kampong Thom, Cambodia. Each plot was 0.25 ha; 28 plots were established in primary evergreen forests and four were established in secondary dry deciduous forests. Measurements were made in 1998, 2000, 2004 and 2010, and logging, recruitment and mortality of each tree were recorded. We estimated phylogeny using rbcL and matK gene sequences and quantified phylogenetic α and β diversity. Within communities, logging decreased phylogenetic diversity, and increased overall phylogenetic clustering and terminal phylogenetic evenness. Between communities, logging increased phylogenetic similarity between evergreen and deciduous plots. On the other hand, recruitment had opposite effects both within and between communities. The observed patterns can be explained by environmental homogenization under logging. Logging is biased to particular species and larger diameter at breast height, and forest patrol has been effective in decreasing logging.


2020 ◽  
Author(s):  
Gabrielle Rudi ◽  
Jean-Stéphane Bailly ◽  
Yves Caraglio ◽  
Jeanne Dollinger ◽  
Fabrice Vinatier

<p><span>Maintenance practices restoring the hydraulic capacity of agricultural ditches (mowing, burning, chemical weeding or dredging) modify the plant communities in the short and medium term. However, the medium term modification of plant community composition, parameters and properties, and in turn the associated functions provided by ditches (water transport, propagules and sediment retention, biodiversity conservation) have not attracted much attention so far. Therefore, the main question raised in this study was the following : Do ditch maintenance practices affect plant community composition, parameters, and properties associated with water and particle transport processes (sediments, seeds), as well as biodiversity, in the medium term (two years)?</span></p><p><span>We designed an experiment to compare the effects of different maintenance practices in a Mediterranean agricultural ditch. We measured the plant richness, morphological parameters and properties of the plant community affecting ecosystem functions twice : before applying the maintenance practices and after two years of contrasting maintenance practices. We assessed the differences between practices using linear models and generalized linear models, followed by pairwise comparisons between means using the Tukey test.</span></p><p><span>Maintenance practices differently affected plant community composition, parameters and properties, such as richness, proportions of harmful plants, distribution of heights, densities, proportions of growth forms and total biomass. None of the maintenance strategies simultaneously improved the functions considered. After two years, mowing provided the highest alpha-diversity and had a low proportion of harmful plants. Burning was the practice that produced the highest total biomass and blockage factor, and therefore negatively influenced the water transport. However, this practice positively impacted seed retention and sedimentation. Our results suggest that associations of maintenance practices would preserve the trade-offs among the different functions in the medium term. </span></p><p> </p><p><br><br></p>


Ecography ◽  
2007 ◽  
Vol 30 (1) ◽  
pp. 3-12 ◽  
Author(s):  
Janne Soininen ◽  
Robert McDonald ◽  
Helmut Hillebrand

2021 ◽  
Author(s):  
Jamie M. Kass ◽  
Nao Takashina ◽  
Nicholas Friedman ◽  
Buntarou Kusumoto ◽  
Mary E. Blair

Accurate and up-to-date biodiversity forecasts enable robust planning for environmental management and conservation of landscapes under a wide range of uses. Future predictions of the species composition of ecological communities complement more frequently reported species richness estimates to better characterize the different dimensions of biodiversity. The models that make community composition forecasts are calibrated with data on species’ geographic patterns for the present, which may not be good proxies for future patterns. The future establishment of novel communities represents data on species interactions unaccounted for by these models. However, detecting them in a systematic way presents challenges due to the lack of monitoring data for landscapes with high environmental turnover, where such communities are likely to establish. Here, we propose lightweight monitoring over both ecological and anthropogenic disturbance gradients using passive sensors (i.e., those that operate continuously without much human input) to detect novel communities with the aim of updating models that make community composition forecasts. Monitoring over these two gradients should maximize detection of novel communities and improve understanding of relationships between community composition and environmental change. Further, barriers regarding cost and effort are reduced by using relatively few sensors requiring minimal upkeep. Ongoing updates to community composition forecasts based on novel community data and better understanding of the associated uncertainty should improve future decision-making for both resource management and conservation efforts.


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