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      Carabid community structure in northern China grassland ecosystems: Effects of local habitat on species richness, species composition and functional diversity

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          Abstract

          Background

          Most carabid beetles are particularly sensitive to local habitat characteristics. Although in China grasslands account for more than 40% of the national land, their biodiversity is still poorly known. The aim of this paper is to identify the main environmental characteristics influencing carabid diversity in different types of grassland in northern China.

          Methods

          We investigated the influence of vegetation (plant biomass, cover, density, height and species richness), soil (bulk density, above ground litter, moisture and temperature) and climate (humidity, precipitation and temperature) on carabid community structure (species richness, species composition and functional diversity—measured as body size, movement and total diversity) in three types of grasslands: desert, typical and meadow steppes. We used Canonical correspondence analysis to investigate the role of habitat characteristics on species composition and eigenvector spatial filtering to investigate the responses of species richness and functional diversities.

          Results

          We found that carabid community structure was strongly influenced by local habitat characteristics and particularly by climatic factors. Carabids in the desert steppe showed the lowest richness and functional diversities. Climate predictors (temperature, precipitation and humidity) had positive effects on carabid species richness at both regional and ecosystem levels, with difference among ecosystems. Plant diversity had a positive influence on carabid richness at the regional level. Soil compaction and temperature were negatively related to species richness at regional level. Climatic factors positively influenced functional diversities, whereas soil temperature had negative effects. Soil moisture and temperature were the most important drivers of species composition at regional level, whereas the relative importance of the various environmental parameters varied among ecosystems.

          Discussion

          Carabid responses to environmental characteristics varied among grassland types, which warns against generalizations and indicates that management programs should be considered at grassland scale. Carabid community structure is strongly influenced by climatic factors, and can therefore be particularly sensitive to ongoing climate change.

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          Most cited references61

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          Functional richness, functional evenness and functional divergence: the primary components of functional diversity

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            Diversity and dissimilarity coefficients: A unified approach

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              Global biodiversity, biochemical kinetics, and the energetic-equivalence rule.

              The latitudinal gradient of increasing biodiversity from poles to equator is one of the most prominent but least understood features of life on Earth. Here we show that species diversity can be predicted from the biochemical kinetics of metabolism. We first demonstrate that the average energy flux of populations is temperature invariant. We then derive a model that quantitatively predicts how species diversity increases with environmental temperature. Predictions are supported by data for terrestrial, freshwater, and marine taxa along latitudinal and elevational gradients. These results establish a thermodynamic basis for the regulation of species diversity and the organization of ecological communities.
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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ Inc. (San Diego, USA )
                2167-8359
                9 January 2019
                2019
                : 6
                : e6197
                Affiliations
                [1 ]School of Agriculture, Ningxia University , Yinchuan, China
                [2 ]UMR EGCE, IRD, University of Paris-Sud, CNRS, University of Paris-Saclay , Gif-sur-Yvette, France
                [3 ]MTA-DE, Biodiversity and Ecosystem Services Research Group, Egyetem Sq. 1 , Debrecen, Hungary
                [4 ]Department of Life, Health and Environmental Sciences, University of L’Aquila , L’Aquila, Italy
                Author information
                http://orcid.org/0000-0003-3154-6295
                http://orcid.org/0000-0002-3672-0101
                Article
                6197
                10.7717/peerj.6197
                6330033
                95d72f60-8f18-49fa-9e0c-ae58fac3a693
                © 2019 Tsafack et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 18 September 2018
                : 2 December 2018
                Funding
                Funded by: National Natural Science Foundation of China
                Award ID: 31660630
                Funded by: Practaculture Science of Ningxia University
                Award ID: NXYLXK2017A01
                This work was supported by the National Natural Science Foundation of China (No. 31660630) and the first-class discipline of Practaculture Science of Ningxia University (No. NXYLXK2017A01). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Conservation Biology
                Ecology
                Ecosystem Science
                Entomology
                Environmental Impacts

                climate factors,functional diversity,plant biomass,rarefied richness,species composition,bulk density,meadow,steppe,esf,cca

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