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      The challenge of accurately documenting bee species richness in agroecosystems: bee diversity in eastern apple orchards

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          Abstract

          Bees are important pollinators of agricultural crops, and bee diversity has been shown to be closely associated with pollination, a valuable ecosystem service. Higher functional diversity and species richness of bees have been shown to lead to higher crop yield. Bees simultaneously represent a mega-diverse taxon that is extremely challenging to sample thoroughly and an important group to understand because of pollination services. We sampled bees visiting apple blossoms in 28 orchards over 6 years. We used species rarefaction analyses to test for the completeness of sampling and the relationship between species richness and sampling effort, orchard size, and percent agriculture in the surrounding landscape. We performed more than 190 h of sampling, collecting 11,219 specimens representing 104 species. Despite the sampling intensity, we captured <75% of expected species richness at more than half of the sites. For most of these, the variation in bee community composition between years was greater than among sites. Species richness was influenced by percent agriculture, orchard size, and sampling effort, but we found no factors explaining the difference between observed and expected species richness. Competition between honeybees and wild bees did not appear to be a factor, as we found no correlation between honeybee and wild bee abundance. Our study shows that the pollinator fauna of agroecosystems can be diverse and challenging to thoroughly sample. We demonstrate that there is high temporal variation in community composition and that sites vary widely in the sampling effort required to fully describe their diversity. In order to maximize pollination services provided by wild bee species, we must first accurately estimate species richness. For researchers interested in providing this estimate, we recommend multiyear studies and rarefaction analyses to quantify the gap between observed and expected species richness.

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          Quantifying biodiversity: procedures and pitfalls in the measurement and comparison of species richness

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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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              Functional diversity: back to basics and looking forward.

              Functional diversity is a component of biodiversity that generally concerns the range of things that organisms do in communities and ecosystems. Here, we review how functional diversity can explain and predict the impact of organisms on ecosystems and thereby provide a mechanistic link between the two. Critical points in developing predictive measures of functional diversity are the choice of functional traits with which organisms are distinguished, how the diversity of that trait information is summarized into a measure of functional diversity, and that the measures of functional diversity are validated through quantitative analyses and experimental tests. There is a vast amount of trait information available for plant species and a substantial amount for animals. Choosing which traits to include in a particular measure of functional diversity will depend on the specific aims of a particular study. Quantitative methods for choosing traits and for assigning weighting to traits are being developed, but need much more work before we can be confident about trait choice. The number of ways of measuring functional diversity is growing rapidly. We divide them into four main groups. The first, the number of functional groups or types, has significant problems and researchers are more frequently using measures that do not require species to be grouped. Of these, some measure diversity by summarizing distances between species in trait space, some by estimating the size of the dendrogram required to describe the difference, and some include information about species' abundances. We show some new and important differences between these, as well as what they indicate about the responses of assemblages to loss of individuals. There is good experimental and analytical evidence that functional diversity can provide a link between organisms and ecosystems but greater validation of measures is required. We suggest that non-significant results have a range of alternate explanations that do not necessarily contradict positive effects of functional diversity. Finally, we suggest areas for development of techniques used to measure functional diversity, highlight some exciting questions that are being addressed using ideas about functional diversity, and suggest some directions for novel research.
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                Author and article information

                Journal
                Ecol Evol
                Ecol Evol
                ece3
                Ecology and Evolution
                John Wiley & Sons, Ltd (Chichester, UK )
                2045-7758
                2045-7758
                September 2015
                05 August 2015
                : 5
                : 17
                : 3531-3540
                Affiliations
                [1 ]Entomology Department, Cornell University Ithaca, New York, 14853
                [2 ]Departments of Humanities and Integrated Studies, University of North Dakota Grand Forks, North Dakota, 58202
                [3 ]Department of Biology, University of North Dakota Grand Forks, North Dakota, 58202
                [4 ]Department of Entomology, Center for Integrated Plant Systems, Michigan State University 578 Wilson Rd., Room 202B, East Lansing, Michigan, 48824
                Author notes
                Correspondence Laura Russo, 3126 Comstock Hall, Cornell University, Ithaca, NY 14853., Tel: (720) 840-0690;, Fax: (607) 255-0939;, E-mail: lrusso@ 123456cornell.edu

                Funding Information This project was supported by Smith Lever and Hatch Funds administered by Cornell University Agricultural Experiment Station, a USDA-AFRI grant [USDA 2010-03689, B.N.D., PI], and additional support from the Atkinson Center for a Sustainable Future (Cornell University).

                Article
                10.1002/ece3.1582
                4567859
                26380684
                e930ad03-5fbe-4388-abfe-1549561eda6f
                © 2015 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 20 February 2015
                : 01 June 2015
                : 03 June 2015
                Categories
                Original Research

                Evolutionary Biology
                agroecosystem,apple orchard,bee diversity,biodiversity,ecosystem function,pollination services,sampling

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