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McLeish M, Peláez A, Pagán I, Gavilán R, Fraile A, García-Arenal F. Structuring of plant communities across agricultural landscape mosaics: the importance of connectivity and the scale of effect. BMC Ecol Evol 2021; 21:173. [PMID: 34503449 PMCID: PMC8427894 DOI: 10.1186/s12862-021-01903-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 04/26/2021] [Indexed: 11/18/2022] Open
Abstract
Background Plant communities of fragmented agricultural landscapes, are subject to patch isolation and scale-dependent effects. Variation in configuration, composition, and distance from one another affect biological processes of disturbance, productivity, and the movement ecology of species. However, connectivity and spatial structuring among these diverse communities are rarely considered together in the investigation of biological processes. Spatially optimised predictor variables that are based on informed measures of connectivity among communities, offer a solution to untangling multiple processes that drive biodiversity. Results To address the gap between theory and practice, a novel spatial optimisation method that incorporates hypotheses of community connectivity, was used to estimate the scale of effect of biotic and abiotic factors that distinguish plant communities. We tested: (1) whether different hypotheses of connectivity among sites was important to measuring diversity and environmental variation among plant communities; and (2) whether spatially optimised variables of species relative abundance and the abiotic environment among communities were consistent with diversity parameters in distinguishing four habitat types; namely Crop, Edge, Oak, and Wasteland. The global estimates of spatial autocorrelation, which did not consider environmental variation among sites, indicated significant positive autocorrelation under four hypotheses of landscape connectivity. The spatially optimised approach indicated significant positive and negative autocorrelation of species relative abundance at fine and broad scales, which depended on the measure of connectivity and environmental variation among sites. Conclusions These findings showed that variation in community diversity parameters does not necessarily correspond to underlying spatial structuring of species relative abundance. The technique used to generate spatially-optimised predictors is extendible to incorporate multiple variables of interest along with a priori hypotheses of landscape connectivity. Spatially-optimised variables with appropriate definitions of connectivity might be better than diversity parameters in explaining functional differences among communities. Supplementary Information The online version contains supplementary material available at 10.1186/s12862-021-01903-9.
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Affiliation(s)
- Michael McLeish
- Centro de Biotecnología y Genómica de Plantas (CBGP, UPM-INIA), Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), and E.T.S.I. Agronómica, Alimentaria y de Biosistemas, Campus de Montegancedo, UPM, Pozuelo de Alarcón, 28223, Madrid, Spain.
| | - Adrián Peláez
- Centro de Biotecnología y Genómica de Plantas (CBGP, UPM-INIA), Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), and E.T.S.I. Agronómica, Alimentaria y de Biosistemas, Campus de Montegancedo, UPM, Pozuelo de Alarcón, 28223, Madrid, Spain
| | - Israel Pagán
- Centro de Biotecnología y Genómica de Plantas (CBGP, UPM-INIA), Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), and E.T.S.I. Agronómica, Alimentaria y de Biosistemas, Campus de Montegancedo, UPM, Pozuelo de Alarcón, 28223, Madrid, Spain
| | - Rosario Gavilán
- Unidad de Botánica, Departamento de Farmacología, Farmacognosia y Botánica, Facultad de Farmacia, Universidad Complutense, Madrid, Spain
| | - Aurora Fraile
- Centro de Biotecnología y Genómica de Plantas (CBGP, UPM-INIA), Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), and E.T.S.I. Agronómica, Alimentaria y de Biosistemas, Campus de Montegancedo, UPM, Pozuelo de Alarcón, 28223, Madrid, Spain
| | - Fernando García-Arenal
- Centro de Biotecnología y Genómica de Plantas (CBGP, UPM-INIA), Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), and E.T.S.I. Agronómica, Alimentaria y de Biosistemas, Campus de Montegancedo, UPM, Pozuelo de Alarcón, 28223, Madrid, Spain
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Bauman D, Drouet T, Fortin MJ, Dray S. Optimizing the choice of a spatial weighting matrix in eigenvector-based methods. Ecology 2018; 99:2159-2166. [DOI: 10.1002/ecy.2469] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Revised: 06/13/2018] [Accepted: 07/02/2018] [Indexed: 11/07/2022]
Affiliation(s)
- David Bauman
- Laboratoire d’Écologie Végétale et Biogéochimie; Université Libre de Bruxelles; CP 244, 50 av. F. D. Roosevelt Brussels 1050 Belgium
| | - Thomas Drouet
- Laboratoire d’Écologie Végétale et Biogéochimie; Université Libre de Bruxelles; CP 244, 50 av. F. D. Roosevelt Brussels 1050 Belgium
| | - Marie-Josée Fortin
- Department of Ecology & Evolutionary Biology; University of Toronto; 25 Willcocks Toronto Ontario M5S 3B2 Canada
| | - Stéphane Dray
- Laboratoire de Biométrie et Biologie Evolutive; CNRS; Université Lyon; Université Claude Bernard Lyon 1; Villeurbanne F-69100 France
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Bauman D, Raspé O, Meerts P, Degreef J, Ilunga Muledi J, Drouet T. Multiscale assemblage of an ectomycorrhizal fungal community: the influence of host functional traits and soil properties in a 10-ha miombo forest. FEMS Microbiol Ecol 2016; 92:fiw151. [PMID: 27402715 DOI: 10.1093/femsec/fiw151] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/04/2016] [Indexed: 11/14/2022] Open
Abstract
Ectomycorrhizal fungi (EMF) are highly diversified and dominant in a number of forest ecosystems. Nevertheless, their scales of spatial distribution and the underlying ecological processes remain poorly understood. Although most EMF are considered to be generalists regarding host identity, a preference toward functional strategies of host trees has never been tested. Here, the EMF community was characterised by DNA sequencing in a 10-ha tropical dry season forest-referred to as miombo-an understudied ecosystem from a mycorrhizal perspective. We used 36 soil parameters and 21 host functional traits (FTs) as candidate explanatory variables in spatial constrained ordinations for explaining the EMF community assemblage. Results highlighted that the community variability was explained by host FTs related to the 'leaf economics spectrum' (adjusted R(2) = 11%; SLA, leaf area, foliar Mg content), and by soil parameters (adjusted R(2) = 17%), notably total forms of micronutrients or correlated available elements (Al, N, K, P). Both FTs and soil generated patterns in the community at scales ranging from 75 to 375 m. Our results indicate that soil is more important than previously thought for EMF in miombo woodlands, and show that FTs of host species can be better predictors of symbiont distribution than taxonomical identity.
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Affiliation(s)
- David Bauman
- Laboratoire d'Écologie Végétale et Biogéochimie, Université Libre de Bruxelles, 50 av. F. D. Roosevelt, CP 244, 1050 Brussels, Belgium
| | - Olivier Raspé
- Department of Bryophyta and Thallophyta, Botanic Garden Meise, 38 Nieuwlaan, B-1860 Meise, Belgium Fédération Wallonie-Bruxelles, Direction Générale de l'Enseignement non obligatoire et de la Recherche scientifique, Rue A. Lavallée 1, 1080 Brussels, Belgium
| | - Pierre Meerts
- Laboratoire d'Écologie Végétale et Biogéochimie, Université Libre de Bruxelles, 50 av. F. D. Roosevelt, CP 244, 1050 Brussels, Belgium
| | - Jérôme Degreef
- Department of Bryophyta and Thallophyta, Botanic Garden Meise, 38 Nieuwlaan, B-1860 Meise, Belgium Fédération Wallonie-Bruxelles, Direction Générale de l'Enseignement non obligatoire et de la Recherche scientifique, Rue A. Lavallée 1, 1080 Brussels, Belgium
| | - Jonathan Ilunga Muledi
- Faculté des Sciences agronomiques, Université de Lubumbashi, Route Kasapa, BP 1825 Lubumbashi, The Democratic Republic of the Congo
| | - Thomas Drouet
- Laboratoire d'Écologie Végétale et Biogéochimie, Université Libre de Bruxelles, 50 av. F. D. Roosevelt, CP 244, 1050 Brussels, Belgium
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Venugopal PD, Dively GP, Herbert A, Malone S, Whalen J, Lamp WO. Contrasting Role of Temperature in Structuring Regional Patterns of Invasive and Native Pestilential Stink Bugs. PLoS One 2016; 11:e0150649. [PMID: 26928562 PMCID: PMC4771716 DOI: 10.1371/journal.pone.0150649] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2015] [Accepted: 02/16/2016] [Indexed: 11/18/2022] Open
Abstract
Objectives Assessment and identification of spatial structures in the distribution and abundance of invasive species is important for unraveling the underlying ecological processes. The invasive agricultural insect pest Halyomorpha halys that causes severe economic losses in the United States is currently expanding both within United States and across Europe. We examined the drivers of H. halys invasion by characterizing the distribution and abundance patterns of H. halys and native stink bugs (Chinavia hilaris and Euschistus servus) across eight different spatial scales. We then quantified the interactive and individual influences of temperature, and measures of resource availability and distance from source populations, and their relevant spatial scales. We used Moran’s Eigenvector Maps based on Gabriel graph framework to quantify spatial relationships among the soybean fields in mid-Atlantic Unites States surveyed for stink bugs. Findings Results from the multi-spatial scale, multivariate analyses showed that temperature and its interaction with resource availability and distance from source populations structures the patterns in H. halys at very broad spatial scale. H. halys abundance decreased with increasing average June temperature and distance from source population. H. halys were not recorded at fields with average June temperature higher than 23.5°C. In parts with suitable climate, high H. halys abundance was positively associated with percentage developed open area and percentage deciduous forests at 250m scale. Broad scale patterns in native stink bugs were positively associated with increasing forest cover and, in contrast to the invasive H. halys, increasing mean July temperature. Our results identify the contrasting role of temperature in structuring regional patterns in H. halys and native stink bugs, while demonstrating its interaction with resource availability and distance from source populations for structuring H. halys patterns. Conclusion These results help predicting the pest potential of H. halys and vulnerability of agricultural systems at various regions, given the climatic conditions, and its interaction with resource availability and distance from source populations. Monitoring and control efforts within parts of the United States and Europe with more suitable climate could focus in areas of peri-urban developments with deciduous forests and other host plants, along with efforts to reduce propagule pressure.
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Affiliation(s)
- P. Dilip Venugopal
- Department of Entomology, University of Maryland, College Park, Maryland, United States of America
- * E-mail:
| | - Galen P. Dively
- Department of Entomology, University of Maryland, College Park, Maryland, United States of America
| | - Ames Herbert
- Tidewater Agricultural Research and Education Center, Virginia Polytechnic Institute and State University, Suffolk, Virginia, United States of America
| | - Sean Malone
- Tidewater Agricultural Research and Education Center, Virginia Polytechnic Institute and State University, Suffolk, Virginia, United States of America
| | - Joanne Whalen
- Department of Entomology and Wildlife Ecology, University of Delaware, Newark, Delaware, United States of America
| | - William O. Lamp
- Department of Entomology, University of Maryland, College Park, Maryland, United States of America
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Richardson JL, Urban MC. STRONG SELECTION BARRIERS EXPLAIN MICROGEOGRAPHIC ADAPTATION IN WILD SALAMANDER POPULATIONS. Evolution 2013; 67:1729-40. [DOI: 10.1111/evo.12052] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2012] [Accepted: 12/28/2012] [Indexed: 11/30/2022]
Affiliation(s)
- Jonathan L. Richardson
- School of Forestry & Environmental Studies, Yale University; 370 Prospect Street New Haven Connecticut 06511
- Department of Ecology & Evolutionary Biology; University of Connecticut; Storrs Connecticut 06269-3043
| | - Mark C. Urban
- Department of Ecology & Evolutionary Biology; University of Connecticut; 75 N. Eagleville Road Unit 3043 Storrs Connecticut 06269
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Dray S, Pélissier R, Couteron P, Fortin MJ, Legendre P, Peres-Neto PR, Bellier E, Bivand R, Blanchet FG, De Cáceres M, Dufour AB, Heegaard E, Jombart T, Munoz F, Oksanen J, Thioulouse J, Wagner HH. Community ecology in the age of multivariate multiscale spatial analysis. ECOL MONOGR 2012. [DOI: 10.1890/11-1183.1] [Citation(s) in RCA: 407] [Impact Index Per Article: 33.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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