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Schmid JS, Huth A, Taubert F. Impact of mowing frequency and temperature on the production of temperate grasslands: explanations received by an individual‐based model. OIKOS 2022. [DOI: 10.1111/oik.09108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Julia S. Schmid
- Dept of Ecological Modeling, Helmholtz Centre for Environmental Research – UFZ Leipzig Germany
| | - Andreas Huth
- Dept of Ecological Modeling, Helmholtz Centre for Environmental Research – UFZ Leipzig Germany
- Inst. for Environmental Systems Research, Dept of Mathematics/Computer Science, Univ. of Osnabrück Osnabrück Germany
| | - Franziska Taubert
- Dept of Ecological Modeling, Helmholtz Centre for Environmental Research – UFZ Leipzig Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Leipzig Germany
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2
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Loy X, Brosi BJ. The effects of pollinator diversity on pollination function. Ecology 2022; 103:e3631. [PMID: 35050504 DOI: 10.1002/ecy.3631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 10/15/2021] [Accepted: 10/28/2021] [Indexed: 11/08/2022]
Abstract
Pollination is a key ecological function of most terrestrial ecosystems. Decades of research on single-trophic-level communities, particularly plant communities, have helped build the foundation of diversity-function theory. Yet as it stands, this theory appears to be less useful for inter-trophic-level functions such as pollination, as evidenced by empirical findings that are often inconsistent with theoretical expectations. In this review, we evaluate how canonical diversity-function theory has been applied to pollination function, focusing on empirical studies of the mechanisms that drive pollinator diversity-function relationships. We first identify key features of pollination function that have hampered reconciliation with current theory. We then examine terminology for mechanisms used to discuss the findings from pollinator diversity-function studies that are sometimes inconsistent with established ecological concepts. We propose a revised diversity-function framework and describe two non-canonical diversity-function mechanisms that are particularly applicable to pollination. The first, 'interactive functional complementarity', was identified previously but remains overlooked. The second, a new diversity-function mechanism, 'functional enhancement', occurs when pollinator diversity increases within-niche activity. Finally, we discuss experimental approaches necessary to detect diversity-function effects in pollination. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Xingwen Loy
- Conservation & Research Department, Atlanta Botanical Garden, Atlanta, GA
| | - Berry J Brosi
- Department of Biology, University of Washington, Seattle, WA
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3
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Freschet GT, Roumet C, Comas LH, Weemstra M, Bengough AG, Rewald B, Bardgett RD, De Deyn GB, Johnson D, Klimešová J, Lukac M, McCormack ML, Meier IC, Pagès L, Poorter H, Prieto I, Wurzburger N, Zadworny M, Bagniewska-Zadworna A, Blancaflor EB, Brunner I, Gessler A, Hobbie SE, Iversen CM, Mommer L, Picon-Cochard C, Postma JA, Rose L, Ryser P, Scherer-Lorenzen M, Soudzilovskaia NA, Sun T, Valverde-Barrantes OJ, Weigelt A, York LM, Stokes A. Root traits as drivers of plant and ecosystem functioning: current understanding, pitfalls and future research needs. THE NEW PHYTOLOGIST 2021; 232:1123-1158. [PMID: 33159479 DOI: 10.1111/nph.17072] [Citation(s) in RCA: 136] [Impact Index Per Article: 45.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 09/30/2020] [Indexed: 05/17/2023]
Abstract
The effects of plants on the biosphere, atmosphere and geosphere are key determinants of terrestrial ecosystem functioning. However, despite substantial progress made regarding plant belowground components, we are still only beginning to explore the complex relationships between root traits and functions. Drawing on the literature in plant physiology, ecophysiology, ecology, agronomy and soil science, we reviewed 24 aspects of plant and ecosystem functioning and their relationships with a number of root system traits, including aspects of architecture, physiology, morphology, anatomy, chemistry, biomechanics and biotic interactions. Based on this assessment, we critically evaluated the current strengths and gaps in our knowledge, and identify future research challenges in the field of root ecology. Most importantly, we found that belowground traits with the broadest importance in plant and ecosystem functioning are not those most commonly measured. Also, the estimation of trait relative importance for functioning requires us to consider a more comprehensive range of functionally relevant traits from a diverse range of species, across environments and over time series. We also advocate that establishing causal hierarchical links among root traits will provide a hypothesis-based framework to identify the most parsimonious sets of traits with the strongest links on functions, and to link genotypes to plant and ecosystem functioning.
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Affiliation(s)
- Grégoire T Freschet
- Station d'Ecologie Théorique et Expérimentale, CNRS, 2 route du CNRS, Moulis, 09200, France
- Centre d'Ecologie Fonctionnelle et Evolutive, Université de Montpellier, CNRS, EPHE, IRD, Univ Paul Valéry Montpellier 3, Montpellier, 34293, France
| | - Catherine Roumet
- Centre d'Ecologie Fonctionnelle et Evolutive, Université de Montpellier, CNRS, EPHE, IRD, Univ Paul Valéry Montpellier 3, Montpellier, 34293, France
| | - Louise H Comas
- USDA-ARS Water Management and Systems Research Unit, 2150 Centre Avenue, Bldg D, Suite 320, Fort Collins, CO, 80526, USA
| | - Monique Weemstra
- Centre d'Ecologie Fonctionnelle et Evolutive, Université de Montpellier, CNRS, EPHE, IRD, Univ Paul Valéry Montpellier 3, Montpellier, 34293, France
| | - A Glyn Bengough
- The James Hutton Institute, Invergowrie, Dundee, DD2 5DA, UK
- School of Science and Engineering, University of Dundee, Dundee, DD1 4HN, UK
| | - Boris Rewald
- Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences, Vienna, 1190, Austria
| | - Richard D Bardgett
- Department of Earth and Environmental Sciences, The University of Manchester, Manchester, M13 9PT, UK
| | - Gerlinde B De Deyn
- Soil Biology Group, Wageningen University, Wageningen, 6700 AA, the Netherlands
| | - David Johnson
- Department of Earth and Environmental Sciences, The University of Manchester, Manchester, M13 9PT, UK
| | - Jitka Klimešová
- Department of Functional Ecology, Institute of Botany CAS, Dukelska 135, Trebon, 37901, Czech Republic
| | - Martin Lukac
- School of Agriculture, Policy and Development, University of Reading, Reading, RG6 6EU, UK
- Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Prague, 165 00, Czech Republic
| | - M Luke McCormack
- Center for Tree Science, Morton Arboretum, 4100 Illinois Rt. 53, Lisle, IL, 60532, USA
| | - Ina C Meier
- Plant Ecology, University of Goettingen, Untere Karspüle 2, Göttingen, 37073, Germany
- Functional Forest Ecology, University of Hamburg, Haidkrugsweg 1, Barsbüttel, 22885, Germany
| | - Loïc Pagès
- UR 1115 PSH, Centre PACA, site Agroparc, INRAE, Avignon Cedex 9, 84914, France
| | - Hendrik Poorter
- Plant Sciences (IBG-2), Forschungszentrum Jülich GmbH, Jülich, D-52425, Germany
- Department of Biological Sciences, Macquarie University, North Ryde, NSW, 2109, Australia
| | - Iván Prieto
- Departamento de Conservación de Suelos y Agua, Centro de Edafología y Biología Aplicada del Segura - Consejo Superior de Investigaciones Científicas (CEBAS-CSIC), Murcia, 30100, Spain
| | - Nina Wurzburger
- Odum School of Ecology, University of Georgia, 140 E. Green Street, Athens, GA, 30602, USA
| | - Marcin Zadworny
- Institute of Dendrology, Polish Academy of Sciences, Parkowa 5, Kórnik, 62-035, Poland
| | - Agnieszka Bagniewska-Zadworna
- Department of General Botany, Institute of Experimental Biology, Faculty of Biology, Adam Mickiewicz University, Uniwersytetu Poznańskiego 6, Poznań, 61-614, Poland
| | - Elison B Blancaflor
- Noble Research Institute, LLC, 2510 Sam Noble Parkway, Ardmore, OK, 73401, USA
| | - Ivano Brunner
- Forest Soils and Biogeochemistry, Swiss Federal Research Institute WSL, Zürcherstr. 111, Birmensdorf, 8903, Switzerland
| | - Arthur Gessler
- Forest Dynamics, Swiss Federal Research Institute WSL, Zürcherstr. 111, Birmensdorf, 8903, Switzerland
- Institute of Terrestrial Ecosystems, ETH Zurich, Zurich, 8092, Switzerland
| | - Sarah E Hobbie
- Department of Ecology, Evolution and Behavior, University of Minnesota, St Paul, MN, 55108, USA
| | - Colleen M Iversen
- Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | - Liesje Mommer
- Plant Ecology and Nature Conservation Group, Department of Environmental Sciences, Wageningen University and Research, PO box 47, Wageningen, 6700 AA, the Netherlands
| | | | - Johannes A Postma
- Plant Sciences (IBG-2), Forschungszentrum Jülich GmbH, Jülich, D-52425, Germany
| | - Laura Rose
- Station d'Ecologie Théorique et Expérimentale, CNRS, 2 route du CNRS, Moulis, 09200, France
| | - Peter Ryser
- Laurentian University, 935 Ramsey Lake Road, Sudbury, ON, P3E 2C6, Canada
| | | | - Nadejda A Soudzilovskaia
- Environmental Biology Department, Institute of Environmental Sciences, CML, Leiden University, Leiden, 2333 CC, the Netherlands
| | - Tao Sun
- Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China
| | - Oscar J Valverde-Barrantes
- Institute of Environment, Department of Biological Sciences, Florida International University, Miami, FL, 33199, USA
| | - Alexandra Weigelt
- Systematic Botany and Functional Biodiversity, Institute of Biology, Leipzig University, Johannisallee 21-23, Leipzig, 04103, Germany
| | - Larry M York
- Noble Research Institute, LLC, 2510 Sam Noble Parkway, Ardmore, OK, 73401, USA
| | - Alexia Stokes
- INRA, AMAP, CIRAD, IRD, CNRS, University of Montpellier, Montpellier, 34000, France
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Do details matter? Disentangling the processes related to plant species interactions in two grassland models of different complexity. Ecol Modell 2021. [DOI: 10.1016/j.ecolmodel.2021.109737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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5
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Hetzer J, Huth A, Taubert F. The importance of plant trait variability in grasslands: a modelling study. Ecol Modell 2021. [DOI: 10.1016/j.ecolmodel.2021.109606] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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6
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Individual-based 3D modelling of root systems in heterogeneous plant canopies at the multiannual scale. Case study with a weed dynamics model. Ecol Modell 2021. [DOI: 10.1016/j.ecolmodel.2020.109376] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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Moulin T, Perasso A, Calanca P, Gillet F. DynaGraM: A process-based model to simulate multi-species plant community dynamics in managed grasslands. Ecol Modell 2021. [DOI: 10.1016/j.ecolmodel.2020.109345] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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8
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Taubert F, Hetzer J, Schmid JS, Huth A. Confronting an individual-based simulation model with empirical community patterns of grasslands. PLoS One 2020; 15:e0236546. [PMID: 32722690 PMCID: PMC7386574 DOI: 10.1371/journal.pone.0236546] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Accepted: 07/09/2020] [Indexed: 11/18/2022] Open
Abstract
Grasslands contribute to global biogeochemical cycles and can host a high number of plant species. Both-species dynamics and biogeochemical fluxes-are influenced by abiotic and biotic environmental factors, management and natural disturbances. In order to understand and project grassland dynamics under global change, vegetation models which explicitly capture all relevant processes and drivers are required. However, the parameterization of such models is often challenging. Here, we report on testing an individual- and process-based model for simulating the dynamics and structure of a grassland experiment in temperate Europe. We parameterized the model for three species and confront simulated grassland dynamics with empirical observations of their monocultures and one two-species mixture. The model reproduces general trends of vegetation patterns (vegetation cover and height, aboveground biomass and leaf area index) for the monocultures and two-species community. For example, the model simulates well an average annual grassland cover of 70% in the species mixture (observed cover of 77%), but also shows mismatches with specific observation values (e.g. for aboveground biomass). By a sensitivity analysis of the applied inverse model parameterization method, we demonstrate that multiple vegetation attributes are important for a successful parameterization while leaf area index revealed to be of highest relevance. Results of our study pinpoint to the need of improved grassland measurements (esp. of temporally higher resolution) in close combination with advanced modelling approaches.
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Affiliation(s)
- Franziska Taubert
- Department of Ecological Modelling, Helmholtz Centre for Environmental Research–UFZ, Leipzig, Saxony, Germany
- * E-mail:
| | - Jessica Hetzer
- Department of Ecological Modelling, Helmholtz Centre for Environmental Research–UFZ, Leipzig, Saxony, Germany
| | - Julia Sabine Schmid
- Department of Ecological Modelling, Helmholtz Centre for Environmental Research–UFZ, Leipzig, Saxony, Germany
| | - Andreas Huth
- Department of Ecological Modelling, Helmholtz Centre for Environmental Research–UFZ, Leipzig, Saxony, Germany
- Institute of Environmental Systems Research, University of Osnabrück, Osnabrück, Lower Saxony, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Saxony, Germany
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Movedi E, Bellocchi G, Argenti G, Paleari L, Vesely F, Staglianò N, Dibari C, Confalonieri R. Development of generic crop models for simulation of multi-species plant communities in mown grasslands. Ecol Modell 2019. [DOI: 10.1016/j.ecolmodel.2019.03.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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11
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Faverjon L, Escobar-Gutiérrez A, Litrico I, Julier B, Louarn G. A generic individual-based model can predict yield, nitrogen content, and species abundance in experimental grassland communities. JOURNAL OF EXPERIMENTAL BOTANY 2019; 70:2491-2504. [PMID: 30219923 DOI: 10.1093/jxb/ery323] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 09/11/2018] [Indexed: 05/27/2023]
Abstract
Functional-structural plant models are increasingly being used to analyse relationships between plant functioning and the topological and spatial organisation of their modular structure. In this study, the performance of an individual-based model accounting for the the architecture and population dynamics of forage legumes in multi-species grasslands was assessed. Morphogenetic shoot and root parameters were calibrated for seven widely used species. Other model parameters concerning C and N metabolism were obtained from the literature. The model was evaluated using a series of independent experiments combining the seven species in binary mixtures that were subject to regular defoliation. For all the species, the model could accurately simulate phytomer demography, leaf area dynamics, and root growth under conditions of weak competition. In addition, the plastic changes induced by competition for light and N in terms of plant development, leaf area, N uptake, and total plant biomass were correctly predicted. The different species displayed contrasting sensitivities to defoliation, and the model was able to predict the superior ability of creeping species to sustain regular defoliation. As a result of competition and management, the balance between species changed over time and was strongly dependent on the pair of species used. The model proved able to capture these differences in community dynamics. Overall, the results demonstrate that integrating the individual components of population dynamics in a process-based model can provide good predictive capacity regarding mixtures of cultivated species.
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Gaudio N, Escobar-Gutiérrez AJ, Casadebaig P, Evers JB, Gérard F, Louarn G, Colbach N, Munz S, Launay M, Marrou H, Barillot R, Hinsinger P, Bergez JE, Combes D, Durand JL, Frak E, Pagès L, Pradal C, Saint-Jean S, Van Der Werf W, Justes E. Current knowledge and future research opportunities for modeling annual crop mixtures. A review. AGRONOMY FOR SUSTAINABLE DEVELOPMENT 2019; 39:20. [PMID: 0 DOI: 10.1007/s13593-019-0562-6] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/04/2019] [Indexed: 05/27/2023]
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13
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Wei H, Peng C, Yang B, Song H, Li Q, Jiang L, Wei G, Wang K, Wang H, Liu S, Liu X, Chen D, Li Y, Wang M. Contrasting Soil Bacterial Community, Diversity, and Function in Two Forests in China. Front Microbiol 2018; 9:1693. [PMID: 30108560 PMCID: PMC6080587 DOI: 10.3389/fmicb.2018.01693] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Accepted: 07/06/2018] [Indexed: 12/03/2022] Open
Abstract
Bacteria are the highest abundant microorganisms in the soil. To investigate bacteria community structures, diversity, and functions, contrasting them in four different seasons all the year round with/within two different forest type soils of China. We analyzed soil bacterial community based on 16S rRNA gene sequencing via Illumina HiSeq platform at a temperate deciduous broad-leaved forest (Baotianman, BTM) and a tropical rainforest (Jianfengling, JFL). We obtained 51,137 operational taxonomic units (OTUs) and classified them into 44 phyla and 556 known genera, 18.2% of which had a relative abundance >1%. The composition in each phylum was similar between the two forest sites. Proteobacteria and Acidobacteria were the most abundant phyla in the soil samples between the two forest sites. The Shannon index did not significantly differ among the four seasons at BTM or JFL and was higher at BTM than JFL in each season. The bacteria community at both BTM and JFL showed two significant (P < 0.05) predicted functions related to carbon cycle (anoxygenic photoautotrophy sulfur oxidizing and anoxygenic photoautotrophy) and three significant (P < 0.05) predicted functions related to nitrogen cycle (nitrous denitrificaton, nitrite denitrification, and nitrous oxide denitrification). We provide the basis on how changes in bacterial community composition and diversity leading to differences in carbon and nitrogen cycles at the two forests.
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Affiliation(s)
- Hua Wei
- Center for Ecological Forecasting and Global Change, College of Forestry, Northwest A&F University, Yangling, China.,Medical College, Baoji Vocational Technology College, Baoji, China
| | - Changhui Peng
- Center for Ecological Forecasting and Global Change, College of Forestry, Northwest A&F University, Yangling, China.,Départment des Sciences Biologiques, Institut des Sciences de l'Environnement, Université du Québec à Montréal, Montreal, QC, Canada
| | - Bin Yang
- Center for Ecological Forecasting and Global Change, College of Forestry, Northwest A&F University, Yangling, China
| | - Hanxiong Song
- Center for Ecological Forecasting and Global Change, College of Forestry, Northwest A&F University, Yangling, China
| | - Quan Li
- Center for Ecological Forecasting and Global Change, College of Forestry, Northwest A&F University, Yangling, China
| | - Lin Jiang
- Center for Ecological Forecasting and Global Change, College of Forestry, Northwest A&F University, Yangling, China
| | - Gang Wei
- Center for Ecological Forecasting and Global Change, College of Forestry, Northwest A&F University, Yangling, China
| | - Kefeng Wang
- Center for Ecological Forecasting and Global Change, College of Forestry, Northwest A&F University, Yangling, China
| | - Hui Wang
- Center for Ecological Forecasting and Global Change, College of Forestry, Northwest A&F University, Yangling, China
| | - Shirong Liu
- Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing, China
| | - Xiaojing Liu
- Baotianman Natural Reserve Administration, Neixiang, China
| | - Dexiang Chen
- Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou, China
| | - Yide Li
- Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou, China
| | - Meng Wang
- Center for Ecological Forecasting and Global Change, College of Forestry, Northwest A&F University, Yangling, China.,State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Institute for Peat and Mire Research, Northeast Normal University, Changchun, China
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Louarn G, Faverjon L. A generic individual-based model to simulate morphogenesis, C-N acquisition and population dynamics in contrasting forage legumes. ANNALS OF BOTANY 2018; 121:875-896. [PMID: 29300872 PMCID: PMC5906914 DOI: 10.1093/aob/mcx154] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2017] [Accepted: 10/17/2017] [Indexed: 05/12/2023]
Abstract
Background and Aims Individual-based models (IBMs) are promising tools to disentangle plant interactions in multi-species grasslands and foster innovative species mixtures. This study describes an IBM dealing with the morphogenesis, growth and C-N acquisition of forage legumes that integrates plastic responses from functional-structural plant models. Methods A generic model was developed to account for herbaceous legume species with contrasting above- and below-ground morphogenetic syndromes and to integrate the responses of plants to light, water and N. Through coupling with a radiative transfer model and a three-dimensional virtual soil, the model allows dynamic resolution of competition for multiple resources at individual plant level within a plant community. The behaviour of the model was assessed on a range of monospecific stands grown along gradients of light, water and N availability. Key Results The model proved able to capture the diversity of morphologies encountered among the forage legumes. The main density-dependent features known about even-age plant populations were correctly anticipated. The model predicted (1) the 'reciprocal yield' law relating average plant mass to density, (2) a self-thinning pattern close to that measured for herbaceous species and (3) consistent changes in the size structure of plant populations with time and pedo-climatic conditions. In addition, plastic changes in the partitioning of dry matter, the N acquisition mode and in the architecture of shoots and roots emerged from the integration of plant responses to their local environment. This resulted in taller plants and thinner roots when competition was dominated by light, and shorter plants with relatively more developed root systems when competition was dominated by soil resources. Conclusions A population dynamic model considering growth and morphogenesis responses to multiple resources heterogeneously distributed in the environment was presented. It should allow scaling plant-plant interactions from individual to community levels without the inconvenience of average plant models.
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15
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Modelling vegetation dynamics in managed grasslands: Responses to drivers depend on species richness. Ecol Modell 2018. [DOI: 10.1016/j.ecolmodel.2018.02.013] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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16
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Effects of Climate Change on Grassland Biodiversity and Productivity: The Need for a Diversity of Models. AGRONOMY-BASEL 2018. [DOI: 10.3390/agronomy8020014] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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17
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Faverjon L, Escobar-Gutiérrez AJ, Litrico I, Louarn G. A Conserved Potential Development Framework Applies to Shoots of Legume Species with Contrasting Morphogenetic Strategies. FRONTIERS IN PLANT SCIENCE 2017; 8:405. [PMID: 28396676 PMCID: PMC5366346 DOI: 10.3389/fpls.2017.00405] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Accepted: 03/09/2017] [Indexed: 05/13/2023]
Abstract
A great variety of legume species are used for forage production and grown in multi-species grasslands. Despite their close phylogenetic relationship, they display a broad range of morphologies that markedly affect their competitive abilities and persistence in mixtures. Little is yet known about the component traits that control the deployment of plant architecture in most of these species. During the present study, we compared the patterns of shoot organogenesis and shoot organ growth in contrasting forage species belonging to the four morphogenetic groups previously identified in herbaceous legumes (i.e., stolon-formers, rhizome-formers, crown-formers tolerant to defoliation and crown-formers intolerant to defoliation). To achieve this, three greenhouse experiments were carried out using plant species from each group (namely alfalfa, birdsfoot trefoil, sainfoin, kura clover, red clover, and white clover) which were grown at low density under non-limiting water and soil nutrient availability. The potential morphogenesis of shoots characterized under these conditions showed that all the species shared a number of common morphogenetic features. All complied with a generalized classification of shoot axes into three types (main axis, primary and secondary axes). A common quantitative framework for vegetative growth and development involved: (i) the regular development of all shoot axes in thermal time and a deterministic branching pattern in the absence of stress; (ii) a temporal coordination of organ growth at the phytomer level that was highly conserved irrespective of phytomer position, and (iii) an identical allometry determining the surface area of all the leaves. The species differed in their architecture as a consequence of the values taken by component traits of morphogenesis. Assessing the relationships between the traits studied showed that these species were distinct from each other along two main PCA axes which explained 68% of total variance: the first axis captured a trade-off between maximum leaf size and the ability to produce numerous phytomers, while the second distinguished morphogenetic strategies reliant on either petiole or internode expansion to achieve space colonization. The consequences of this quantitative framework are discussed, along with its possible applications regarding plant phenotyping and modeling.
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19
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Litrico I, Violle C. Diversity in Plant Breeding: A New Conceptual Framework. TRENDS IN PLANT SCIENCE 2015; 20:604-613. [PMID: 26440430 DOI: 10.1016/j.tplants.2015.07.007] [Citation(s) in RCA: 69] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2015] [Revised: 07/27/2015] [Accepted: 07/28/2015] [Indexed: 05/27/2023]
Abstract
Faced with an accelerating rate of environmental change and the associated need for a more sustainable, low-input agriculture, the urgent new challenge for crop science is to find ways to introduce greater diversity to cropping systems. However, there is a dearth of generic formalism in programs seeking to diversify crops. In this opinion, we propose a new framework, derived from ecological theory, that should enable diversity targets to be incorporated into plant-breeding programs. While ecological theory provides criteria for maintaining diversity and optimizing the production of mixtures, such criteria are rarely fully realized in natural ecosystems. Conversely, crop breeding should optimize both agronomic value and the ability of plants to perform and live alongside one another. This framework represents an opportunity to develop more sustainable crops and also a radical new way to apply ecological theory to cropping systems.
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Affiliation(s)
- Isabelle Litrico
- P3F UR 004 - INRA - Le Chêne RD 150, F-86600 Lusignan, BP 86006, France.
| | - Cyrille Violle
- CEFE UMR 5175, CNRS - Université de Montpellier - Université Paul-Valéry Montpellier - EPHE -1919 route de Mende, F-34293 Montpellier, CEDEX 5, France
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Leifeld J, Meyer S, Budge K, Sebastia MT, Zimmermann M, Fuhrer J. Turnover of grassland roots in mountain ecosystems revealed by their radiocarbon signature: role of temperature and management. PLoS One 2015; 10:e0119184. [PMID: 25734640 PMCID: PMC4347979 DOI: 10.1371/journal.pone.0119184] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2014] [Accepted: 01/26/2015] [Indexed: 11/18/2022] Open
Abstract
Root turnover is an important carbon flux component in grassland ecosystems because it replenishes substantial parts of carbon lost from soil via heterotrophic respiration and leaching. Among the various methods to estimate root turnover, the root's radiocarbon signature has rarely been applied to grassland soils previously, although the value of this approach is known from studies in forest soils. In this paper, we utilize the root's radiocarbon signatures, at 25 plots, in mountain grasslands of the montane to alpine zone of Europe. We place the results in context of a global data base on root turnover and discuss driving factors. Root turnover rates were similar to those of a subsample of the global data, comprising a similar temperature range, but measured with different approaches, indicating that the radiocarbon method gives reliable, plausible and comparable results. Root turnover rates (0.06-1.0 y(-1)) scaled significantly and exponentially with mean annual temperatures. Root turnover rates indicated no trend with soil depth. The temperature sensitivity was significantly higher in mountain grassland, compared to the global data set, suggesting additional factors influencing root turnover. Information on management intensity from the 25 plots reveals that root turnover may be accelerated under intensive and moderate management compared to low intensity or semi-natural conditions. Because management intensity, in the studied ecosystems, co-varied with temperature, estimates on root turnover, based on mean annual temperature alone, may be biased. A greater recognition of management as a driver for root dynamics is warranted when effects of climatic change on belowground carbon dynamics are studied in mountain grasslands.
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Affiliation(s)
- Jens Leifeld
- Agroscope, Climate/Air Pollution Group, Zurich, Switzerland
| | - Stefanie Meyer
- Institute for Geography, Friedrich Schiller Universität, Jena, Germany
| | - Karen Budge
- Independent Researcher, Kirkwall, Orkney, United Kingdom
| | - Maria Teresa Sebastia
- Forest Sciences Centre of Catalonia, Lleida, Spain
- Dept. HBJ, ETSEA, University of Lleida, Lleida, Spain
| | - Michael Zimmermann
- University of Natural Resources and Life Sciences Vienna, Department of Forest and Soil Sciences, Vienna, Austria
| | - Juerg Fuhrer
- Agroscope, Climate/Air Pollution Group, Zurich, Switzerland
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Chen J, Shi W, Cao J. Effects of grazing on ecosystem CO₂ exchange in a meadow grassland on the Tibetan Plateau during the growing season. ENVIRONMENTAL MANAGEMENT 2015; 55:347-59. [PMID: 25355630 DOI: 10.1007/s00267-014-0390-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2013] [Accepted: 10/15/2014] [Indexed: 05/20/2023]
Abstract
Effects of human activity on ecosystem carbon fluxes (e.g., net ecosystem exchange (NEE), ecosystem respiration (R(eco)), and gross ecosystem exchange (GEE)) are crucial for projecting future uptake of CO2 in terrestrial ecosystems. However, how ecosystem that carbon fluxes respond to grazing exclusion is still under debate. In this study, a field experiment was conducted to study the effects of grazing exclusion on R(eco), NEE, and GEE with three treatments (free-range grazing (FG) and grazing exclusion for 3 and 5 years (GE3 and GE5, respectively)) in a meadow grassland on the Tibetan Plateau. Our results show that grazing exclusion significantly increased NEE by 47.37 and 15.84%, and R eco by 33.14 and 4.29% under GE3 and GE5 plots, respectively, although carbon sinks occurred in all plots during the growing season, with values of 192.11, 283.12, and 222.54 g C m(-2) for FG, GE3, and GE5, respectively. Interestingly, grazing exclusion increased temperature sensitivity (Q10) of R eco with larger increases at the beginning and end of growing season (i.e., May and October, respectively). Soil temperature and soil moisture were key factors on controlling the diurnal and seasonal variations of R(eco), NEE, and GEE, with soil temperature having a stronger influence. Therefore, the combined effects of grazing and temperature suggest that grazing should be taken into consideration in assessing global warming effects on grassland ecosystem CO2 exchange.
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Affiliation(s)
- Ji Chen
- State Key Laboratory of Loess and Quaternary Geology (SKLLQG), and Key Laboratory of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710075, China
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Pagès L, Picon-Cochard C. Modelling the root system architecture of Poaceae. Can we simulate integrated traits from morphological parameters of growth and branching? THE NEW PHYTOLOGIST 2014; 204:149-158. [PMID: 24954405 DOI: 10.1111/nph.12904] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2014] [Accepted: 05/26/2014] [Indexed: 05/22/2023]
Abstract
Our objective was to calibrate a model of the root system architecture on several Poaceae species and to assess its value to simulate several 'integrated' traits measured at the root system level: specific root length (SRL), maximum root depth and root mass. We used the model ArchiSimple, made up of sub-models that represent and combine the basic developmental processes, and an experiment on 13 perennial grassland Poaceae species grown in 1.5-m-deep containers and sampled at two different dates after planting (80 and 120 d). Model parameters were estimated almost independently using small samples of the root systems taken at both dates. The relationships obtained for calibration validated the sub-models, and showed species effects on the parameter values. The simulations of integrated traits were relatively correct for SRL and were good for root depth and root mass at the two dates. We obtained some systematic discrepancies that were related to the slight decline of root growth in the last period of the experiment. Because the model allowed correct predictions on a large set of Poaceae species without global fitting, we consider that it is a suitable tool for linking root traits at different organisation levels.
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Affiliation(s)
- Loïc Pagès
- INRA, Centre PACA, UR 1115 PSH, Site Agroparc, 84914, Avignon Cedex 9, France
| | - Catherine Picon-Cochard
- INRA, Centre de Clermont, UR 874 Grassland Ecosystem Research, 5 Chemin de Beaulieu, 63039, Clermont-Ferrand Cedex 2, France
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CoSMo: A simple approach for reproducing plant community dynamics using a single instance of generic crop simulators. Ecol Modell 2014. [DOI: 10.1016/j.ecolmodel.2014.04.019] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Maire V, Gross N, Hill D, Martin R, Wirth C, Wright IJ, Soussana JF. Disentangling coordination among functional traits using an individual-centred model: impact on plant performance at intra- and inter-specific levels. PLoS One 2013; 8:e77372. [PMID: 24130879 PMCID: PMC3793938 DOI: 10.1371/journal.pone.0077372] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2012] [Accepted: 09/10/2013] [Indexed: 11/18/2022] Open
Abstract
Background Plant functional traits co-vary along strategy spectra, thereby defining trade-offs for resource acquisition and utilization amongst other processes. A main objective of plant ecology is to quantify the correlations among traits and ask why some of them are sufficiently closely coordinated to form a single axis of functional specialization. However, due to trait co-variations in nature, it is difficult to propose a mechanistic and causal explanation for the origin of trade-offs among traits observed at both intra- and inter-specific level. Methodology/Principal Findings Using the Gemini individual-centered model which coordinates physiological and morphological processes, we investigated with 12 grass species the consequences of deliberately decoupling variation of leaf traits (specific leaf area, leaf lifespan) and plant stature (height and tiller number) on plant growth and phenotypic variability. For all species under both high and low N supplies, simulated trait values maximizing plant growth in monocultures matched observed trait values. Moreover, at the intraspecific level, plastic trait responses to N addition predicted by the model were in close agreement with observed trait responses. In a 4D trait space, our modeling approach highlighted that the unique trait combination maximizing plant growth under a given environmental condition was determined by a coordination of leaf, root and whole plant processes that tended to co-limit the acquisition and use of carbon and of nitrogen. Conclusion/Significance Our study provides a mechanistic explanation for the origin of trade-offs between plant functional traits and further predicts plasticity in plant traits in response to environmental changes. In a multidimensional trait space, regions occupied by current plant species can therefore be viewed as adaptive corridors where trait combinations minimize allometric and physiological constraints from the organ to the whole plant levels. The regions outside this corridor are empty because of inferior plant performance.
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Affiliation(s)
- Vincent Maire
- INRA Grassland Ecosystem Research (UR 874), Clermont-Ferrand, France
- * E-mail: (VM); (NG)
| | - Nicolas Gross
- INRA Grassland Ecosystem Research (UR 874), Clermont-Ferrand, France
- INRA, USC Agripop (CEBC-CNRS), F-79360, Villier-en-Bois, France
- CEBC-CNRS (UPR 1934), F-79360, Villier-en-Bois, France
- * E-mail: (VM); (NG)
| | - David Hill
- CNRS LIMOS (UMR 6158), Blaise Pascal University, Aubière, France
| | - Raphaël Martin
- INRA Grassland Ecosystem Research (UR 874), Clermont-Ferrand, France
| | - Christian Wirth
- Universität Leipzig, Institut für Biologie I, Leipzig, Germany
| | - Ian J. Wright
- Department of Biological Sciences, Macquarie University, New South Wales, Australia
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Plasticity of plant form and function sustains productivity and dominance along environment and competition gradients. A modeling experiment with Gemini. Ecol Modell 2013. [DOI: 10.1016/j.ecolmodel.2012.03.039] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Maire V, Gross N, Börger L, Proulx R, Wirth C, Pontes LDS, Soussana JF, Louault F. Habitat filtering and niche differentiation jointly explain species relative abundance within grassland communities along fertility and disturbance gradients. THE NEW PHYTOLOGIST 2012; 196:497-509. [PMID: 22931515 DOI: 10.1111/j.1469-8137.2012.04287.x] [Citation(s) in RCA: 101] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2012] [Accepted: 07/18/2012] [Indexed: 06/01/2023]
Abstract
Deterministic niche-based processes have been proposed to explain species relative abundance within communities but lead to different predictions: habitat filtering (HF) predicts dominant species to exhibit similar traits while niche differentiation (ND) requires that species have dissimilar traits to coexist. Using a multiple trait-based approach, we evaluated the relative roles of HF and ND in determining species abundances in productive grasslands. Four dimensions of the functional niche of 12 co-occurring grass species were identified using 28 plant functional traits. Using this description of the species niche, we investigated patterns of functional similarity and dissimilarity and linked them to abundance in randomly assembled six-species communities subjected to fertilization/disturbance treatments. Our results suggest that HF and ND jointly determined species abundance by acting on contrasting niche dimensions. The effect of HF decreased relative to ND with increasing disturbance and decreasing fertilization. Dominant species exhibited similar traits in communities whereas dissimilarity favored the coexistence of rare species with dominants by decreasing inter-specific competition. This stabilizing effect on diversity was suggested by a negative relationship between species over-yielding and relative abundance. We discuss the importance of considering independent dimensions of functional niche to better understand species abundance and coexistence within communities.
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Affiliation(s)
- Vincent Maire
- INRA UR874 UREP, 234 Avenue du Brézet, F-63100, Clermont-Ferrand, France
- Department of Biological Sciences, Macquarie University, Sydney, NSW, 2109, Australia
| | - Nicolas Gross
- CEBC-CNRS (UPR 1934), 79360, Beauvoir sur Niort, France
- INRA, USC 1339, CEBC-CNRS, 79360, Beauvoir sur Niort, France
| | - Luca Börger
- CEBC-CNRS (UPR 1934), 79360, Beauvoir sur Niort, France
- INRA, USC 1339, CEBC-CNRS, 79360, Beauvoir sur Niort, France
| | - Raphaël Proulx
- Max-Planck Institute for Biogeochemistry, D-07745, Jena, Germany
- Université du Québec à Trois-Rivières, CP 500, Trois-Rivières, Québec, Canada, G9A 5H7
| | - Christian Wirth
- Max-Planck Institute for Biogeochemistry, D-07745, Jena, Germany
| | | | | | - Frédérique Louault
- INRA UR874 UREP, 234 Avenue du Brézet, F-63100, Clermont-Ferrand, France
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Maire V, Martre P, Kattge J, Gastal F, Esser G, Fontaine S, Soussana JF. The coordination of leaf photosynthesis links C and N fluxes in C3 plant species. PLoS One 2012; 7:e38345. [PMID: 22685562 PMCID: PMC3369925 DOI: 10.1371/journal.pone.0038345] [Citation(s) in RCA: 94] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2011] [Accepted: 05/03/2012] [Indexed: 11/19/2022] Open
Abstract
Photosynthetic capacity is one of the most sensitive parameters in vegetation models and its relationship to leaf nitrogen content links the carbon and nitrogen cycles. Process understanding for reliably predicting photosynthetic capacity is still missing. To advance this understanding we have tested across C(3) plant species the coordination hypothesis, which assumes nitrogen allocation to photosynthetic processes such that photosynthesis tends to be co-limited by ribulose-1,5-bisphosphate (RuBP) carboxylation and regeneration. The coordination hypothesis yields an analytical solution to predict photosynthetic capacity and calculate area-based leaf nitrogen content (N(a)). The resulting model linking leaf photosynthesis, stomata conductance and nitrogen investment provides testable hypotheses about the physiological regulation of these processes. Based on a dataset of 293 observations for 31 species grown under a range of environmental conditions, we confirm the coordination hypothesis: under mean environmental conditions experienced by leaves during the preceding month, RuBP carboxylation equals RuBP regeneration. We identify three key parameters for photosynthetic coordination: specific leaf area and two photosynthetic traits (k(3), which modulates N investment and is the ratio of RuBP carboxylation/oxygenation capacity (V(Cmax)) to leaf photosynthetic N content (N(pa)); and J(fac), which modulates photosynthesis for a given k(3) and is the ratio of RuBP regeneration capacity (J(max)) to V(Cmax)). With species-specific parameter values of SLA, k(3) and J(fac), our leaf photosynthesis coordination model accounts for 93% of the total variance in N(a) across species and environmental conditions. A calibration by plant functional type of k(3) and J(fac) still leads to accurate model prediction of N(a), while SLA calibration is essentially required at species level. Observed variations in k(3) and J(fac) are partly explained by environmental and phylogenetic constraints, while SLA variation is partly explained by phylogeny. These results open a new avenue for predicting photosynthetic capacity and leaf nitrogen content in vegetation models.
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Affiliation(s)
| | - Pierre Martre
- INRA, UMR1095 GDEC, Clermont-Ferrand, France
- Blaise Pascal University, UMR1095 GDEC, Aubière, France
| | - Jens Kattge
- Max Planck Institute for Biogeochemistry, Jena, Germany
| | | | - Gerd Esser
- Justus Liebig University, Institute for Plant Ecology, Giessen, Germany
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