Trends in Ecology & Evolution, Journal Year: 2021, Volume and Issue: 36(9), P. 822 - 836
Published: June 1, 2021
Language: Английский
Trends in Ecology & Evolution, Journal Year: 2021, Volume and Issue: 36(9), P. 822 - 836
Published: June 1, 2021
Language: Английский
Nature, Journal Year: 2017, Volume and Issue: 546(7656), P. 82 - 90
Published: May 30, 2017
Language: Английский
Citations
1775Trends in Ecology & Evolution, Journal Year: 2015, Volume and Issue: 30(11), P. 673 - 684
Published: Oct. 4, 2015
Language: Английский
Citations
1225Proceedings of the National Academy of Sciences, Journal Year: 2014, Volume and Issue: 111(38), P. 13690 - 13696
Published: Sept. 15, 2014
Understanding, modeling, and predicting the impact of global change on ecosystem functioning across biogeographical gradients can benefit from enhanced capacity to represent biota as a continuous distribution traits. However, this is challenge for field biogeography historically grounded species concept. Here we focus newly emergent functional biogeography: study geographic trait diversity organizational levels. We show how bridges species-based earth science provide ideas tools help explain in multifaceted (including species, functional, phylogenetic diversities), predict services worldwide, infuse regional conservation programs with basis. Although much recent progress has been made possible because rising multiple data streams, new developments ecoinformatics, methodological advances, future directions should theoretical comprehensive framework scaling biotic interactions trophic levels its ecological implications.
Language: Английский
Citations
651Aquatic Sciences, Journal Year: 2017, Volume and Issue: 79(4), P. 783 - 801
Published: June 13, 2017
Language: Английский
Citations
408Trends in Ecology & Evolution, Journal Year: 2016, Volume and Issue: 31(5), P. 382 - 394
Published: April 25, 2016
Language: Английский
Citations
377Ecosphere, Journal Year: 2020, Volume and Issue: 11(7)
Published: July 1, 2020
Abstract In light of rapid shifts in biodiversity associated with human impacts, there is an urgent need to understand how changing patterns impact ecosystem function. Functional redundancy hypothesized promote ecological resilience and stability, as function communities more redundant species (those that perform similar functions) should be buffered against the loss individual species. While functional being increasingly quantified, few studies have linked differences across outcomes. We conducted a review meta‐analysis determine whether empirical evidence supports asserted link between stability resilience. reviewed 423 research articles assembled data set 32 from 15 aquatic terrestrial ecosystems. Overall, mean correlation stability/resilience was positive. The positive effect greater for which measured richness within groups (vs. metrics independent richness), but itself not correlated size. results this indicate may positively affect community disturbance, work needed including experimental studies, partitioning effects, links functions.
Language: Английский
Citations
366Nature Reviews Microbiology, Journal Year: 2021, Volume and Issue: 20(2), P. 109 - 121
Published: Aug. 27, 2021
Language: Английский
Citations
328Ecography, Journal Year: 2017, Volume and Issue: 41(9), P. 1441 - 1455
Published: Sept. 22, 2017
Hutchinson's n ‐dimensional hypervolume concept for the interpretation of niches as geometric shapes has provided a foundation research across different fields ecology and evolution. There is now an expanding set applications concepts, well growing statistical methods available to operationalize this with data. The been applied environmental, resource, functional trait, morphometric axes scales, i.e. from individuals, species, communities clades. Further, these have variously interpreted niches, ecological or evolutionary strategy spaces, proxies community structure. This paper highlights applications’ shared mathematical framework, surveys uses fields, discusses key limitations assumptions concepts in general, provides critical guide estimation methods, delineates situations where can be useful.
Language: Английский
Citations
322Functional Ecology, Journal Year: 2018, Volume and Issue: 33(6), P. 948 - 961
Published: Dec. 16, 2018
Abstract The inherent complexity of high‐diversity systems can make them particularly difficult to understand. relatively recent introduction functional approaches, which seek infer ecosystem functioning based on species’ ecological traits, has revolutionized our understanding these systems. Today, the structure an assemblage is widely regarded as a key indicator status or resilience ecosystem. Indeed, evaluations have become mainstay monitoring and management approaches. But heavy focus broad metrics grounded in empirical research? On tropical coral reefs, ocean’s most diverse ecosystems, remarkably few studies directly quantify functions term ‘function’ used but rarely defined, especially when applied reef fishes. Our review suggests that ‘functional’ do not study function it relates processes. Rather, they look at easy‐to‐measure traits proxies are thought significance. However, links tested empirically, severely limiting capacity extend results from community dynamic processes operating within ecosystems such reefs. With rapid changes global their deliver services, there urgent need understand empirically measure role organisms various functions. We suggest if we manage transitioning reefs Anthropocene, definition word needed along with quantification roles. In this review, propose universal operational works cellular level. Specifically, movement storage energy material . Within definitional framework, all part continuum tied together by process‐based unifier fluxes. hand, then present path forward will allow us fully harness power approaches managing A plain language summary available for article.
Language: Английский
Citations
305Methods in Ecology and Evolution, Journal Year: 2017, Volume and Issue: 9(2), P. 305 - 319
Published: Aug. 10, 2017
Abstract Hutchinson's n ‐dimensional hypervolume concept underlies many applications in contemporary ecology and evolutionary biology. Estimating hypervolumes from sampled data has been an ongoing challenge due to conceptual computational issues. We present new algorithms for delineating the boundaries probability density within hypervolumes. The methods produce smooth that can fit either more loosely (Gaussian kernel estimation) or tightly (one‐classification via support vector machine). Further, accept abundance‐weighted data, resulting be given a probabilistic interpretation projected into geographic space. demonstrate properties of these on large dataset characterises functional traits distribution thousands plants. are available version ≥2.0.7 r package. These provide: (i) robust approach shape hypervolumes; (ii) efficient performance high‐dimensional datasets; (iii) improved measures diversity environmental niche breadth.
Language: Английский
Citations
287