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Nutritional constraints in terrestrial and freshwater food webs

Author

Listed:
  • James J. Elser

    (Arizona State University)

  • William F. Fagan

    (Arizona State University)

  • Robert F. Denno

    (University of Maryland)

  • Dean R. Dobberfuhl

    (Arizona State University
    St Johns River Water Management District)

  • Ayoola Folarin

    (Arizona State University)

  • Andrea Huberty

    (University of Maryland)

  • Sebastian Interlandi

    (School of Environmental Science, Engineering, and Policy, Drexel University)

  • Susan S. Kilham

    (School of Environmental Science, Engineering, and Policy, Drexel University)

  • Edward McCauley

    (University of Calgary)

  • Kimberly L. Schulz

    (State University of New York)

  • Evan H. Siemann

    (Rice University)

  • Robert W. Sterner

    (Evolution, and Behavior, University of Minnesota)

Abstract

Biological and environmental contrasts between aquatic and terrestrial systems have hindered analyses of community and ecosystem structure across Earth's diverse habitats. Ecological stoichiometry1,2 provides an integrative approach for such analyses, as all organisms are composed of the same major elements (C, N, P) whose balance affects production, nutrient cycling, and food-web dynamics3,4. Here we show both similarities and differences in the C:N:P ratios of primary producers (autotrophs) and invertebrate primary consumers (herbivores) across habitats. Terrestrial food webs are built on an extremely nutrient-poor autotroph base with C:P and C:N ratios higher than in lake particulate matter, although the N:P ratios are nearly identical. Terrestrial herbivores (insects) and their freshwater counterparts (zooplankton) are nutrient-rich and indistinguishable in C:N:P stoichiometry. In both lakes and terrestrial systems, herbivores should have low growth efficiencies (10–30%) when consuming autotrophs with typical carbon-to-nutrient ratios. These stoichiometric constraints on herbivore growth appear to be qualitatively similar and widespread in both environments.

Suggested Citation

  • James J. Elser & William F. Fagan & Robert F. Denno & Dean R. Dobberfuhl & Ayoola Folarin & Andrea Huberty & Sebastian Interlandi & Susan S. Kilham & Edward McCauley & Kimberly L. Schulz & Evan H. Sie, 2000. "Nutritional constraints in terrestrial and freshwater food webs," Nature, Nature, vol. 408(6812), pages 578-580, November.
  • Handle: RePEc:nat:nature:v:408:y:2000:i:6812:d:10.1038_35046058
    DOI: 10.1038/35046058
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    Citations

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    Cited by:

    1. Hailiang Li & M. James C. Crabbe & Haikui Chen, 2020. "History and Trends in Ecological Stoichiometry Research from 1992 to 2019: A Scientometric Analysis," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
    2. Tijani, Hamzat & Abdullah, Norhayati & Yuzir, Ali, 2015. "Integration of microalgae biomass in biomethanation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1610-1622.
    3. Law, Tony & Zhang, Weitao & Zhao, Jingyang & Arhonditsis, George B., 2009. "Structural changes in lake functioning induced from nutrient loading and climate variability," Ecological Modelling, Elsevier, vol. 220(7), pages 979-997.
    4. Luyun Chen & Yongheng Gao, 2022. "Global Climate Change Effects on Soil Microbial Biomass Stoichiometry in Alpine Ecosystems," Land, MDPI, vol. 11(10), pages 1-16, September.
    5. Marcin Dębowski & Marta Kisielewska & Joanna Kazimierowicz & Aleksandra Rudnicka & Magda Dudek & Zdzisława Romanowska-Duda & Marcin Zieliński, 2020. "The effects of Microalgae Biomass Co-Substrate on Biogas Production from the Common Agricultural Biogas Plants Feedstock," Energies, MDPI, vol. 13(9), pages 1-13, May.
    6. Prado, Patricia & Ibáñez, Carles & Caiola, Nuno & Reyes, Enrique, 2013. "Evaluation of seasonal variability in the food-web properties of coastal lagoons subjected to contrasting salinity gradients using network analyses," Ecological Modelling, Elsevier, vol. 265(C), pages 180-193.
    7. Mengdie Feng & Dengyu Zhang & Binghui He & Ke Liang & Peidong Xi & Yunfei Bi & Yingying Huang & Dongxin Liu & Tianyang Li, 2021. "Characteristics of Soil C, N, and P Stoichiometry as Affected by Land Use and Slope Position in the Three Gorges Reservoir Area, Southwest China," Sustainability, MDPI, vol. 13(17), pages 1-13, September.
    8. Josep Penuelas & Tamás Krisztin & Michael Obersteiner & Florian Huber & Hannes Winner & Ivan A. Janssens & Philippe Ciais & Jordi Sardans, 2020. "Country-Level Relationships of the Human Intake of N and P, Animal and Vegetable Food, and Alcoholic Beverages with Cancer and Life Expectancy," IJERPH, MDPI, vol. 17(19), pages 1-15, October.
    9. Guanghua Jing & Tianming Hu & Jian Liu & Jimin Cheng & Wei Li, 2020. "Biomass Estimation, Nutrient Accumulation, and Stoichiometric Characteristics of Dominant Tree Species in the Semi-Arid Region on the Loess Plateau of China," Sustainability, MDPI, vol. 12(1), pages 1-16, January.
    10. Stech, Harlan & Peckham, Bruce & Pastor, John, 2012. "Enrichment in a general class of stoichiometric producer–consumer population growth models," Theoretical Population Biology, Elsevier, vol. 81(3), pages 210-222.
    11. Jie Zhang & Yaojun Liu & Taihui Zheng & Xiaomin Zhao & Hongguang Liu & Yongfen Zhang, 2021. "Nutrient and Stoichiometric Characteristics of Aggregates in a Sloping Farmland Area under Different Tillage Practices," Sustainability, MDPI, vol. 13(2), pages 1-19, January.
    12. Elser, James J. & Loladze, Irakli & Peace, Angela L. & Kuang, Yang, 2012. "Lotka re-loaded: Modeling trophic interactions under stoichiometric constraints," Ecological Modelling, Elsevier, vol. 245(C), pages 3-11.
    13. Xiaobo Huang & Xuedong Lang & Shuaifeng Li & Wande Liu & Jianrong Su, 2022. "Leaf Carbon, Nitrogen and Phosphorus Stoichiometry in a Pinus yunnanensis Forest in Southwest China," Sustainability, MDPI, vol. 14(10), pages 1-10, May.
    14. Zhengkun Hu & Manuel Delgado-Baquerizo & Nicolas Fanin & Xiaoyun Chen & Yan Zhou & Guozhen Du & Feng Hu & Lin Jiang & Shuijin Hu & Manqiang Liu, 2024. "Nutrient-induced acidification modulates soil biodiversity-function relationships," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    15. Peacor, Scott D. & Allesina, Stefano & Riolo, Rick L. & Hunter, Tim S., 2007. "A new computational system, DOVE (Digital Organisms in a Virtual Ecosystem), to study phenotypic plasticity and its effects in food webs," Ecological Modelling, Elsevier, vol. 205(1), pages 13-28.
    16. Jingyun Yin & Jihong Xia & Zhichang Xia & Wangwei Cai & Zewen Liu & Kejun Xu & Yue Wang & Rongzhen Zhang & Xu Dong, 2022. "Temporal Variation and Spatial Distribution in the Water Environment Helps Explain Seasonal Dynamics of Zooplankton in River-Type Reservoir," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    17. Zhiwei Cao & Xi Fang & Wenhua Xiang & Pifeng Lei & Changhui Peng, 2020. "The Vertical Differences in the Change Rates and Controlling Factors of Soil Organic Carbon and Total Nitrogen along Vegetation Restoration in a Subtropical Area of China," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
    18. Jankowska, Ewelina & Sahu, Ashish K. & Oleskowicz-Popiel, Piotr, 2017. "Biogas from microalgae: Review on microalgae's cultivation, harvesting and pretreatment for anaerobic digestion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 692-709.
    19. Yang Ma & Chunlai Zhang & Hui Yang & Yikai Xu & Yan Chen & Jing Ning, 2023. "The Characteristics of Soil C, N and P and Stoichiometric Ratios as Affected by Land-Use in a Karst Area, Southwest China," Land, MDPI, vol. 12(6), pages 1-17, May.
    20. Xiaolong Zhang & Tianyu Guan & Jihua Zhou & Wentao Cai & Nannan Gao & Hui Du & Lianhe Jiang & Liming Lai & Yuanrun Zheng, 2018. "Community Characteristics and Leaf Stoichiometric Traits of Desert Ecosystems Regulated by Precipitation and Soil in an Arid Area of China," IJERPH, MDPI, vol. 15(1), pages 1-19, January.

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