Current Opinion in Insect Science, Journal Year: 2019, Volume and Issue: 35, P. 27 - 33
Published: May 10, 2019
Language: Английский
Current Opinion in Insect Science, Journal Year: 2019, Volume and Issue: 35, P. 27 - 33
Published: May 10, 2019
Language: Английский
Nature Ecology & Evolution, Journal Year: 2019, Volume and Issue: 3(6), P. 919 - 927
Published: May 20, 2019
Language: Английский
Citations
213Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2016, Volume and Issue: 371(1694), P. 20150267 - 20150267
Published: April 26, 2016
The relationship between biodiversity and ecosystem functioning (BEF) its consequence for services has predominantly been studied by controlled, short-term small-scale experiments under standardized environmental conditions constant community compositions. However, changes in occur real-world ecosystems with varying environments a dynamic composition. In this theme issue, we present novel research on BEF such communities. contributions are organized three sections relationships (i) multi-trophic diversity, (ii) non-equilibrium disturbance conditions, (iii) large spatial long temporal scales. first section shows that often appear idiosyncratic, while accounting species traits enables predictive understanding. Future complex communities needs to include ecological theory is based principles of species-averaged body masses, stoichiometry effects as temperature. second illustrates have direct well indirect (via richness, composition species' traits) relationships. Fluctuations (species also trait dominance within species) can severely modify third demonstrates at larger scales driven different variables. While richness per se biomass most important, identity less important than small Across scales, mass extinctions represent severe mixed functions. Together, the issue identify new frontiers answer some open questions landscapes.
Language: Английский
Citations
196Sustainability Science, Journal Year: 2017, Volume and Issue: 13(2), P. 479 - 492
Published: June 5, 2017
Language: Английский
Citations
161Ecography, Journal Year: 2016, Volume and Issue: 40(2), P. 267 - 280
Published: Nov. 23, 2016
Macroecology and biogeography are concerned with understanding biodiversity patterns across space time. In the past, two disciplines have addressed this question mainly correlative approaches, despite frequent calls for more mechanistic explanations. Recent advances in computational power, theoretical understanding, statistical tools are, however, currently facilitating development of system‐oriented, models. We review these models, identify different model types frameworks, compare their processes properties, summarize emergent findings. show that ecological (physiology, demographics, dispersal, biotic interactions) evolutionary processes, as well environmental human‐induced drivers, increasingly modelled mechanistically; new insights into dynamics emerge from Yet, substantial challenges still lie ahead young research field. Among these, we scaling, calibration, validation, balancing complexity pressing issues. Moreover, particular process combinations understudied, so far models tend to be developed specific applications. Future work should aim at developing flexible modular not only allow theories expressed contrasted, but which also built tight integration all macroecological data sources. Moving field towards such a ‘systems macroecology’ will test improve our causal pathways through eco‐evolutionary create diversity spatial temporal scales.
Language: Английский
Citations
154Trends in Ecology & Evolution, Journal Year: 2017, Volume and Issue: 32(11), P. 835 - 844
Published: Sept. 14, 2017
Language: Английский
Citations
140Trends in Ecology & Evolution, Journal Year: 2016, Volume and Issue: 32(2), P. 118 - 130
Published: Nov. 14, 2016
Language: Английский
Citations
135Ecology Letters, Journal Year: 2017, Volume and Issue: 21(1), P. 9 - 20
Published: Oct. 22, 2017
One challenge in merging community and ecosystem ecology is to integrate the complexity of natural multitrophic communities into concepts functioning. Here, we combine food-web allometry theories demonstrate that primary production, as measured by total nutrient uptake community, determined vertical diversity (i.e. food web's maximum trophic level) structure distributions species their abundances metabolic rates across levels). In ecosystems, size distribution determines all these patterns thus uptake. Our model suggests a hypothesis (VDH) for functioning complex webs. It predicts that, under given supply, increases exponentially with level web it its body according power law. The VDH highlights effect top-down regulation on plant uptake, which complements traditional paradigms emphasised bottom-up supply diversity. We conclude contributes synthetic framework understanding relationship between webs predicting impacts global changes ecosystems.
Language: Английский
Citations
119Nature Climate Change, Journal Year: 2017, Volume and Issue: 7(12), P. 895 - 900
Published: Nov. 3, 2017
Language: Английский
Citations
103Nature Ecology & Evolution, Journal Year: 2021, Volume and Issue: 5(11), P. 1478 - 1489
Published: Sept. 23, 2021
Language: Английский
Citations
103Ecosphere, Journal Year: 2019, Volume and Issue: 10(7)
Published: July 1, 2019
Abstract Understanding global ecological patterns and processes, from biogeochemical to biogeographical, requires broad‐scale macrosystems context for comparing contrasting ecosystems. Climate gradients (precipitation temperature) other continental‐scale shape freshwater environments due their influences on terrestrial direct indirect effects the abiotic biotic characteristics of lakes, streams, wetlands. We combined literature review, analyses open access data, logical argument assess characters systems across latitude elevation that drive precipitation, temperature, variability. explored predictive value analyzing in ecosystems at scale. found many based climate, particularly those dependent upon hydrologic linked biomes. For example, continental waters dry areas will generally be widely dispersed have higher probability drying network disconnection, greater temperatures, inorganic turbidity, salinity, lower riparian canopy cover relative with high precipitation. These factors influence local community composition ecosystem rates. Enough studies are now available or scale start characterize under a coherent conceptual framework, though considerable gaps exist tropics less developed regions. present illustrative global‐scale trends abiotic, biotic, anthropogenic impacts precipitation temperature further understanding aid prediction face change. view as occurring arrays multiple (including latitude, altitude, precipitation) rather than specific boundaries. While biomes capture some variability along these freshwaters, features such as, slope, geology, historical glaciation also freshwaters. Our framework is not so much single hypothesis way logically freshwaters scales relevant (1) evolutionary processes give rise biodiversity, (2) regulatory units ecosystems, (3) current scope vital services they provide.
Language: Английский
Citations
91