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      The functional response and resilience in small waterbodies along land-use and environmental gradients

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          A distance-based framework for measuring functional diversity from multiple traits

          A new framework for measuring functional diversity (FD) from multiple traits has recently been proposed. This framework was mostly limited to quantitative traits without missing values and to situations in which there are more species than traits, although the authors had suggested a way to extend their framework to other trait types. The main purpose of this note is to further develop this suggestion. We describe a highly flexible distance-based framework to measure different facets of FD in multidimensional trait space from any distance or dissimilarity measure, any number of traits, and from different trait types (i.e., quantitative, semi-quantitative, and qualitative). This new approach allows for missing trait values and the weighting of individual traits. We also present a new multidimensional FD index, called functional dispersion (FDis), which is closely related to Rao's quadratic entropy. FDis is the multivariate analogue of the weighted mean absolute deviation (MAD), in which the weights are species relative abundances. For unweighted presence-absence data, FDis can be used for a formal statistical test of differences in FD. We provide the "FD" R language package to easily implement our distance-based FD framework.
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            Quantifying the evidence for biodiversity effects on ecosystem functioning and services.

            Concern is growing about the consequences of biodiversity loss for ecosystem functioning, for the provision of ecosystem services, and for human well being. Experimental evidence for a relationship between biodiversity and ecosystem process rates is compelling, but the issue remains contentious. Here, we present the first rigorous quantitative assessment of this relationship through meta-analysis of experimental work spanning 50 years to June 2004. We analysed 446 measures of biodiversity effects (252 in grasslands), 319 of which involved primary producer manipulations or measurements. Our analyses show that: biodiversity effects are weaker if biodiversity manipulations are less well controlled; effects of biodiversity change on processes are weaker at the ecosystem compared with the community level and are negative at the population level; productivity-related effects decline with increasing number of trophic links between those elements manipulated and those measured; biodiversity effects on stability measures ('insurance' effects) are not stronger than biodiversity effects on performance measures. For those ecosystem services which could be assessed here, there is clear evidence that biodiversity has positive effects on most. Whilst such patterns should be further confirmed, a precautionary approach to biodiversity management would seem prudent in the meantime.
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              Vive la différence: plant functional diversity matters to ecosystem processes

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                Author and article information

                Journal
                Global Change Biology
                Glob Change Biol
                Wiley
                13541013
                July 2018
                July 2018
                April 24 2018
                : 24
                : 7
                : 3079-3092
                Affiliations
                [1 ]College of Liberal Arts (CoLA); Bath Spa University; Bath UK
                [2 ]Geography; Earth and Environmental Sciences; University of Birmingham; Birmingham UK
                [3 ]Freshwater Habitats Trust; Headington Oxford UK
                [4 ]Institute of Science and the Environment; University of Worcester; Worcester UK
                [5 ]School of Applied Sciences; Edinburgh Napier University; Edinburgh UK
                [6 ]Research Institute for the Built and Human Environment; School of Environment and Life Sciences; University of Salford; Salford Greater Manchester UK
                [7 ]Department of Geography; Centre for Hydrological and Ecosystem Science; Loughborough University; Loughborough Leicestershire UK
                [8 ]IBERS (Institute of Biological, Environmental & Rural Sciences); Aberystwyth University; Aberystwyth UK
                [9 ]School of Biology; University of Leeds; Leeds UK
                Article
                10.1111/gcb.14149
                89e6b51b-243d-4a59-b833-474fc298c42c
                © 2018

                http://doi.wiley.com/10.1002/tdm_license_1.1

                http://onlinelibrary.wiley.com/termsAndConditions#vor

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