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Steudel B, Hautier Y, Hector A, Kessler M. Diverse marsh plant communities are more consistently productive across a range of different environmental conditions through functional complementarity. J Appl Ecol 2011. [DOI: 10.1111/j.1365-2664.2011.01986.x] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Verón SR, Paruelo JM, Oesterheld M. Grazing-induced losses of biodiversity affect the transpiration of an arid ecosystem. Oecologia 2010; 165:501-10. [PMID: 20865282 DOI: 10.1007/s00442-010-1780-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2009] [Accepted: 09/02/2010] [Indexed: 10/19/2022]
Abstract
Degradation processes often lead to species loss. Such losses would impact on ecosystem functioning depending on the extinction order and the functional and structural aspects of species. For the Patagonian arid steppe, we used a simulation model to study the effects of species loss on the rate and variability (i.e. stability) of transpiration as a key attribute of ecosystem functioning. We addressed (1) the differences between the overgrazing extinction order and other potential orders, and (2) the role of biomass abundance, biomass distribution, and functional diversity on the effect of species loss due to overgrazing. We considered a community composed of ten species which were assigned an order of extinction due to overgrazing based on their preference by livestock. We performed four model simulations to test for overgrazing effects through different combinations of species loss, and reductions of biomass and functional diversity. In general, transpiration rate and variability were positively associated to species richness and remained fairly constant until half the species were lost by overgrazing. The extinction order by overgrazing was the most conservative of all possible orders. The amount of biomass was more important than functional diversity in accounting for the impacts of species richness on transpiration. Our results suggest that, to prevent Patagonian steppes from shifting to stable, low-production systems (by overgrazing), maintaining community biomass is more important than preserving species richness or species functional diversity.
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Affiliation(s)
- Santiago R Verón
- Departamento de Métodos Cuantitativos y Sistemas de Información, IFEVA, Facultad de Agronomía, Universidad de Buenos Aires and CONICET, Buenos Aires, Argentina.
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Brassard BW, Chen HYH, Bergeron Y, Paré D. Differences in fine root productivity between mixed‐ and single‐species stands. Funct Ecol 2010. [DOI: 10.1111/j.1365-2435.2010.01769.x] [Citation(s) in RCA: 137] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Brian W. Brassard
- Faculty of Natural Resources Management, Lakehead University, 955 Oliver Rd., Thunder Bay, Ontario, Canada P7B 5E1
| | - Han Y. H. Chen
- Faculty of Natural Resources Management, Lakehead University, 955 Oliver Rd., Thunder Bay, Ontario, Canada P7B 5E1
| | - Yves Bergeron
- Chaire industrielle CRSNG‐UQAT‐UQAM en Aménagement Forestier Durable, Université du Québec en Abitibi‐Témiscamingue, 445 boulevard de l’Université, Rouyn‐Noranda, Québec, Canada J9X5E4
| | - David Paré
- Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, 1055 du P.E.P.S., P.O. Box 10380, Stn. Sainte‐Foy, Québec, Québec, Canada G1V 4C7
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54
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Strassburg BB, Kelly A, Balmford A, Davies RG, Gibbs HK, Lovett A, Miles L, Orme CDL, Price J, Turner RK, Rodrigues AS. Global congruence of carbon storage and biodiversity in terrestrial ecosystems. Conserv Lett 2010. [DOI: 10.1111/j.1755-263x.2009.00092.x] [Citation(s) in RCA: 216] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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56
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Li C, He X, Zhu S, Zhou H, Wang Y, Li Y, Yang J, Fan J, Yang J, Wang G, Long Y, Xu J, Tang Y, Zhao G, Yang J, Liu L, Sun Y, Xie Y, Wang H, Zhu Y. Crop diversity for yield increase. PLoS One 2009; 4:e8049. [PMID: 19956624 PMCID: PMC2778130 DOI: 10.1371/journal.pone.0008049] [Citation(s) in RCA: 82] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2009] [Accepted: 10/18/2009] [Indexed: 11/19/2022] Open
Abstract
Traditional farming practices suggest that cultivation of a mixture of crop species in the same field through temporal and spatial management may be advantageous in boosting yields and preventing disease, but evidence from large-scale field testing is limited. Increasing crop diversity through intercropping addresses the problem of increasing land utilization and crop productivity. In collaboration with farmers and extension personnel, we tested intercropping of tobacco, maize, sugarcane, potato, wheat and broad bean--either by relay cropping or by mixing crop species based on differences in their heights, and practiced these patterns on 15,302 hectares in ten counties in Yunnan Province, China. The results of observation plots within these areas showed that some combinations increased crop yields for the same season between 33.2 and 84.7% and reached a land equivalent ratio (LER) of between 1.31 and 1.84. This approach can be easily applied in developing countries, which is crucial in face of dwindling arable land and increasing food demand.
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Affiliation(s)
- Chengyun Li
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Xiahong He
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Shusheng Zhu
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Huiping Zhou
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Yunyue Wang
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Yan Li
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Jing Yang
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Jinxiang Fan
- Plant Protection Station of Honghe Prefecture, Mengzi, Yunnan, China
| | - Jincheng Yang
- Agroscience Research Institute of Yuxi City, Yuxi, Yunnan, China
| | - Guibin Wang
- Plant Protection Station of Chuxiong Prefecture, Chuxiong, Yunnan, China
| | - Yunfu Long
- Plant Protection Station of Shiping County, Shiping, Yunnan, China
| | - Jiayou Xu
- Agroscience Research Station of Hongxi Town, Mile, Yunnan, China
| | - Yongsheng Tang
- Agricultural Technology Extension Centre of Qujing City, Qujing, Yunnan, China
| | - Gaohui Zhao
- Agricultural Technology Extension Centre of Zhaotong City, Zhaotong, Yunnan, China
| | - Jianrong Yang
- Agricultural Technology Extension Centre of Lincang City, Lincang, Yunnan, China
| | - Lin Liu
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Yan Sun
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Yong Xie
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Haining Wang
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Youyong Zhu
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, Yunnan, China
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Striebel M, Behl S, Diehl S, Stibor H. Spectral niche complementarity and carbon dynamics in pelagic ecosystems. Am Nat 2009; 174:141-7. [PMID: 19456261 DOI: 10.1086/599294] [Citation(s) in RCA: 59] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Positive effects of biodiversity on ecosystem function are described from an increasing number of systems, but the underlying mechanisms frequently remain elusive. A truly predictive understanding of biodiversity-ecosystem function relationships requires the a priori identification of traits conferring specific (and possibly complementary) functions to individual species. Although planktonic organisms are responsible for approximately half of the world's primary production, few studies have reported on the relationship between phytoplankton biodiversity and planktonic primary production. We argue that taxon-specific differential equipment with photosynthetically active pigments provides a biochemical mechanism of resource use complementarity among phototrophic microorganisms, enabling more diverse communities to more completely harvest the light spectrum. In line with this, more diverse phytoplankton communities showed higher pigment diversity, higher biomass-specific light absorbance, and higher rates of primary production and biomass accrual.
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Affiliation(s)
- Maren Striebel
- Department Biology II, Aquatic Ecology, Ludwig-Maximilians-Universität München, Grosshaderner Strasse 2, 82152 Planegg-Martinsried, Germany.
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Cadotte MW, Cavender-Bares J, Tilman D, Oakley TH. Using phylogenetic, functional and trait diversity to understand patterns of plant community productivity. PLoS One 2009; 4:e5695. [PMID: 19479086 PMCID: PMC2682649 DOI: 10.1371/journal.pone.0005695] [Citation(s) in RCA: 483] [Impact Index Per Article: 30.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2009] [Accepted: 04/16/2009] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Two decades of research showing that increasing plant diversity results in greater community productivity has been predicated on greater functional diversity allowing access to more of the total available resources. Thus, understanding phenotypic attributes that allow species to partition resources is fundamentally important to explaining diversity-productivity relationships. METHODOLOGY/PRINCIPAL FINDINGS Here we use data from a long-term experiment (Cedar Creek, MN) and compare the extent to which productivity is explained by seven types of community metrics of functional variation: 1) species richness, 2) variation in 10 individual traits, 3) functional group richness, 4) a distance-based measure of functional diversity, 5) a hierarchical multivariate clustering method, 6) a nonmetric multidimensional scaling approach, and 7) a phylogenetic diversity measure, summing phylogenetic branch lengths connecting community members together and may be a surrogate for ecological differences. Although most of these diversity measures provided significant explanations of variation in productivity, the presence of a nitrogen fixer and phylogenetic diversity were the two best explanatory variables. Further, a statistical model that included the presence of a nitrogen fixer, seed weight and phylogenetic diversity was a better explanation of community productivity than other models. CONCLUSIONS Evolutionary relationships among species appear to explain patterns of grassland productivity. Further, these results reveal that functional differences among species involve a complex suite of traits and that perhaps phylogenetic relationships provide a better measure of the diversity among species that contributes to productivity than individual or small groups of traits.
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Affiliation(s)
- Marc W Cadotte
- National Center for Ecological Analysis and Synthesis, University of California Santa Barbara, Santa Barbara, California, United States of America.
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Altieri AH, Trussell GC, Ewanchuk PJ, Bernatchez G, Bracken MES. Consumers control diversity and functioning of a natural marine ecosystem. PLoS One 2009; 4:e5291. [PMID: 19384410 PMCID: PMC2668074 DOI: 10.1371/journal.pone.0005291] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2008] [Accepted: 03/19/2009] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Our understanding of the functional consequences of changes in biodiversity has been hampered by several limitations of previous work, including limited attention to trophic interactions, a focus on species richness rather than evenness, and the use of artificially assembled communities. METHODOLOGY AND PRINCIPAL FINDINGS In this study, we manipulated the density of an herbivorous snail in natural tide pools and allowed seaweed communities to assemble in an ecologically relevant and non-random manner. Seaweed species evenness and biomass-specific primary productivity (mg O(2) h(-1) g(-1)) were higher in tide pools with snails because snails preferentially consumed an otherwise dominant seaweed species that can reduce biomass-specific productivity rates of algal assemblages. Although snails reduced overall seaweed biomass in tide pools, they did not affect gross primary productivity at the scale of tide pools (mg O(2) h(-1) pool(-1) or mg O(2) h(-1) m(-2)) because of the enhanced biomass-specific productivity associated with grazer-mediated increases in algal evenness. SIGNIFICANCE Our results suggest that increased attention to trophic interactions, diversity measures other than richness, and particularly the effects of consumers on evenness and primary productivity, will improve our understanding of the relationship between diversity and ecosystem functioning and allow more effective links between experimental results and real-world changes in biodiversity.
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Affiliation(s)
- Andrew H. Altieri
- Marine Science Center, Northeastern University, Nahant, Massachusetts, United States of America
| | - Geoffrey C. Trussell
- Marine Science Center, Northeastern University, Nahant, Massachusetts, United States of America
| | - Patrick J. Ewanchuk
- Marine Science Center, Northeastern University, Nahant, Massachusetts, United States of America
| | - Genevieve Bernatchez
- Marine Science Center, Northeastern University, Nahant, Massachusetts, United States of America
| | - Matthew E. S. Bracken
- Marine Science Center, Northeastern University, Nahant, Massachusetts, United States of America
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60
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Fornara DA, Tilman D. Ecological mechanisms associated with the positive diversity-productivity relationship in an N-limited grassland. Ecology 2009; 90:408-18. [PMID: 19323225 DOI: 10.1890/08-0325.1] [Citation(s) in RCA: 71] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
In a 13-year grassland biodiversity experiment in Minnesota, USA, we addressed two main questions: What set of ecological mechanisms caused aboveground productivity to become approximately 340% greater in highly diverse plant mixtures than in the average monoculture? Why did the effect of diversity on productivity become so much stronger through time? Because our grassland system is N limited, we simultaneously measured critical variables associated with the storage and cycling of this element, such as plant and soil N pools, soil N availability, soil N mineralization rates, and plant N-use efficiency, as well as the initial soil N concentration of each diversity plot when the experiment was established in 1994. We used linear and multiple regression analyses to test for potential effects of these variables on aboveground productivity and to address whether and how such variables were in turn affected by plant species diversity and functional composition across years and also at different time intervals within the same year. We found that seven variables simultaneously controlled productivity: (1) initial total soil nitrogen (N) of each plot, (2) diversity-dependent increases in total soil N through time, (3) soil N mineralization rates, (4) soil nitrate (NO3-) utilization, (5) increases in plant N-use efficiency at greater plant diversity, (6) legume presence, and (7) higher species numbers. The surprising continued significance of higher plant diversity may occur because of its effects on seasonal capture of soil NO3- and moisture and on the accumulation of root-N pools, all of which may have also increased productivity through time at higher species numbers.
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Affiliation(s)
- D A Fornara
- Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, Minnesota 55108, USA.
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61
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Woodward FI, Kelly CK. Responses of global plant diversity capacity to changes in carbon dioxide concentration and climate. Ecol Lett 2008; 11:1229-1237. [PMID: 18803643 DOI: 10.1111/j.1461-0248.2008.01240.x] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
We model plant species diversity globally by country to show that future plant diversity capacity has a strong dependence on changing climate and carbon dioxide concentration. CO2 increase, through its impact on net primary production and warming is predicted to increase regional diversity capacity, while warming with constant CO2 leads to decreases in diversity capacity. Increased CO2 concentrations are unlikely to counter projected extinctions of endemic species, shown in earlier studies to be more strongly dependent on changing land use patterns than climate per se. Model predictions were tested against (1) contemporary observations of tree species diversity in different biomes, (2) an independent global map of contemporary species diversity and (3) time sequences of plant naturalisation for different locations. Good agreements between model, observations and naturalisation patterns support the suggestion that future diversity capacity increases are likely to be filled from a 'cosmopolitan weed pool' for which migration appears to be an insignificant barrier.
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Affiliation(s)
- F I Woodward
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield, S10 2TN, UKDepartment of Zoology, South Parks Road, University of Oxford, Oxford, OX1 3PS, UK
| | - C K Kelly
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield, S10 2TN, UKDepartment of Zoology, South Parks Road, University of Oxford, Oxford, OX1 3PS, UK
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