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Widening global variability in grassland biomass since the 1980s

. 2024 Oct ; 8 (10) : 1877-1888. [epub] 20240805

Language English Country Great Britain, England Media print-electronic

Document type Journal Article

Links

PubMed 39103674
DOI 10.1038/s41559-024-02500-x
PII: 10.1038/s41559-024-02500-x
Knihovny.cz E-resources

Global change is associated with variable shifts in the annual production of aboveground plant biomass, suggesting localized sensitivities with unclear causal origins. Combining remotely sensed normalized difference vegetation index data since the 1980s with contemporary field data from 84 grasslands on 6 continents, we show a widening divergence in site-level biomass ranging from +51% to -34% globally. Biomass generally increased in warmer, wetter and species-rich sites with longer growing seasons and declined in species-poor arid areas. Phenological changes were widespread, revealing substantive transitions in grassland seasonal cycling. Grazing, nitrogen deposition and plant invasion were prevalent in some regions but did not predict overall trends. Grasslands are undergoing sizable changes in production, with implications for food security, biodiversity and carbon storage especially in arid regions where declines are accelerating.

Archbold Biological Station Venus FL USA

Arthur Rylah Institute for Environment Research Department of Energy Environment and Climate Action Melbourne Victoria Australia

Baruch Institute of Coastal Ecology and Forest Science Clemson University Clemson SC USA

Centre for Applied Ecology School of Agriculture University of Lisbon Lisbon Portugal

Centre for Ecological Sciences Indian Institute of Science Bangalore India

Chair of Biodiversity and Nature Tourism Estonian University of Life Sciences Tartu Estonia

College of Ecology Lanzhou University Lanzhou China

College of Grassland Science Key Laboratory of Grassland Ecosystem of the Ministry of Education Gansu Agricultural University Lanzhou China

College of Pastoral Agriculture Science and Technology Lanzhou University Lanzhou China

CSIRO Environment Canberra Australian Capital Territory Australia

Department of Animal Health and Production Oyo State College of Agriculture and Technology Igbo Ora Nigeria

Department of Biological Sciences Michigan Technological University Houghton MI USA

Department of Biological Sciences Texas Tech University Lubbock TX USA

Department of Biological Sciences University of Toronto Scarborough Toronto Ontario Canada

Department of Biology and Animal Sciences Sao Paulo State University UNESP Ilha Solteira Brazil

Department of Biology Boston University Boston MA USA

Department of Biology National University of Mongolia Ulaanbaatar Mongolia

Department of Biology Texas State University San Marcos TX USA

Department of Biology University of New Mexico Albuquerque NM USA

Department of Biology Wake Forest University Winston Salem NC USA

Department of Disturbance Ecology Bayreuth Center of Ecology and Environmental Research University of Bayreuth Bayreuth Germany

Department of Ecology and Environmental Sciences Umeå University Umeå Sweden

Department of Ecology and Evolutionary Biology University of Colorado Boulder CO USA

Department of Ecology and Genetics University of Oulu Oulu Finland

Department of Ecology Evolution and Behavior University of Minnesota Saint Paul MN USA

Department of Ecology Evolution and Marine Biology University of California Santa Barbara Santa Barbara CA USA

Department of Ecology Evolution and Organismal Biology Iowa State University Ames IA USA

Department of Entomology University of Maryland College Park MD USA

Department of Environment and Genetics La Trobe University Bundoora Victoria Australia

Department of Environmental Science and Policy Marist College Poughkeepsie NY USA

Department of Geography King's College London London UK

Department of Health and Environmental Sciences Jiatong Liverpool University Suzhou China

Department of Integrative Biology University of Guelph Guelph Ontario Canada

Department of Integrative Biology University of Texas at Austin Austin TX USA

Department of Land Resources and Environmental Sciences Montana State University Bozeman MT USA

Department of Life Sciences Imperial College London Ascot UK

Department of Natural Sciences Northeastern State University Tahlequah OK USA

Department of Physical and Environmental Sciences University of Toronto Scarborough Toronto Ontario Canada

Department of Physiological Diversity Helmholtz Centre for Environmental Research UFZ Leipzig Germany

Department of Plant Agriculture University of Guelph Guelph Ontario Canada

Department of Plant and Soil Sciences University of Kentucky Lexington KY USA

Department of Plant Biology and Program in Ecology Evolution and Behavior Michigan State University East Lansing MI USA

Department of Terrestrial Ecology Netherlands Institute of Ecology Wageningen The Netherlands

Department of Zoology and Entomology University of Pretoria Pretoria South Africa

Department of Zoology School of Natural Sciences Trinity College Dublin Dublin Ireland

Division of Biological Sciences University of California San Diego San Diego CA USA

Ecology and Biodiversity Group Department of Biology Utrecht University Utrecht The Netherlands

Faculty of Environmental and Forest Sciences Agricultural University of Iceland Reykjavik Iceland

Forest Research Centre School of Agriculture University of Lisbon Lisbon Portugal

German Centre for Integrative Biodiversity Research Halle Jena Leipzig Leipzig Germany

Gulbali Institute Charles Sturt University Albury New South Wales Australia

Hawkesbury Institute for the Environment Western Sydney University Penrith New South Wales Australia

IFEVA Facultad de Agronomía Universidad de Buenos Aires CONICET Buenos Aires Argentina

Institute of Biology Leipzig University Leipzig Germany

Institute of Ecology and Earth Sciences University of Tartu Tartu Estonia

Institute of Ecology College of Urban and Environmental Science Peking University Beijing China

Institute of Ecology Leuphana University of Lüneburg Lüneburg Germany

Institute of Hydrobiology Biology Centre of Czech Academy of Sciences Ceske Budejovice Czech Republic

Instituto de Investigaciones Marinas y Costeras FCEyN UNMdP CONICET Mar del Plata Argentina

INTA UNPA CONICET Universidad Nacional de la Patagonia Rìo Gallegos Argentina

Lancaster Environment Centre Lancaster University Lancaster UK

Martin Luther University Halle Wittenberg Halle Germany

MPG Ranch Missoula MT USA

Murdoch University Perth Western Australia Australia

School of Agriculture Food and Ecosystem Sciences The University of Melbourne Melbourne Victoria Australia

School of Biological Sciences Monash University Clayton Victoria Australia

School of Earth and Sustainability Northern Arizona University Flagstaff AZ USA

School of Environmental and Forest Sciences University of Washington Seattle WA USA

School of Life and Environmental Sciences University of Sydney Camperdown New South Wales Australia

School of Life Sciences College of Agriculture Engineering and Science University of KwaZulu Natal Durban South Africa

Swiss Federal Institute for Forest Snow and Landscape Research WSL Birmensdorf Switzerland

University of Northern Iowa Cedar Falls IA USA

USDA ARS Grassland Soil and Water Research Laboratory Temple TX USA

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See more in PubMed

Nemani, R. R. et al. Climate-driven increases in global terrestrial net primary production from 1982 to 1999. Science 300, 1560–1563 (2003). PubMed DOI

Ciais, P. et al. Europe-wide reduction in primary productivity caused by the heat and drought in 2003. Nature 437, 529–533 (2005). PubMed DOI

Zhao, M. & Running, S. W. Drought-induced reduction in global terrestrial net primary production from 2000 through 2009. Science 329, 940–943 (2010). PubMed DOI

Zhu et al. Greening of the Earth and its drivers. Nat. Clim. Change 6, 791–795 (2016). DOI

Running, S. W. et al. A continuous satellite-derived measure of global terrestrial primary production. Bioscience 54, 547–560 (2004). DOI

Lobell, D. B., Schlenker, W. & Costa-Roberts, J. Climate trends and global crop production since 1980. Science 333, 616–620 (2011). PubMed DOI

Tylianakis, J. M. et al. Global change and species interactions in terrestrial ecosystems. Ecol. Lett. 11, 1351–1363 (2008). PubMed DOI

Buitenwerf, R., Rose, L. & Higgins, S. I. Three decades of multi-dimensional change in global leaf phenology. Nat. Clim. Change 5, 364–368 (2015). DOI

Myers-Smith, I. H. et al. Complexity revealed in the greening of the Arctic. Nat. Clim. Change 10, 106–117 (2020). DOI

Berner, L. T. et al. Summer warming explains widespread but not uniform greening in the Arctic tundra biome. Nat. Commun. 11, 4621 (2020). PubMed DOI PMC

Huang, J. et al. Global semi-arid climate change over last 60 years. Clim. Dyn. 46, 1131–1150 (2016). DOI

Antar, M. et al. Biomass for a sustainable bioeconomy: an overview of world biomass production and utilization. Renew. Sustain. Energy Rev. 139, 110691 (2021). DOI

Krausmann, F. et al. Global human appropriation of net primary production doubled in the 20th century. Proc. Natl Acad. Sci. USA 110, 10324–10329 (2013). PubMed DOI PMC

Gao, Q. et al. Climatic change controls productivity variation in global grasslands. Sci. Rep. 6, 26958 (2016). PubMed DOI PMC

Miles, V. V. & Esau, I. Spatial heterogeneity of greening and browning between and within bioclimatic zones in northern West Siberia. Environ. Res. Lett. 11, 115002 (2016). DOI

Cavender-Bares, J. et al. Integrating remote sensing with ecology and evolution to advance biodiversity conservation. Nat. Ecol. Evol. 6, 506–519 (2022). PubMed DOI

Liao, C. et al. Altered ecosystem carbon and nitrogen cycles by plant invasion: a meta‐analysis. New Phytol. 177, 706–714 (2008). PubMed DOI

Turbelin, A. J., Malamud, B. D. & Francis, R. A. Mapping the global state of invasive alien species: patterns of invasion and policy responses. Glob. Ecol. Biogeogr. 26, 78–92 (2017). DOI

Borer, E. T. & Stevens, C. J. Nitrogen deposition and climate: an integrated synthesis. Trends Ecol. Evol. 6, 541–552 (2022). DOI

Knapp, A. K., Ciais, P. & Smith, M. D. Reconciling inconsistencies in precipitation–productivity relationships: implications for climate change. New Phytol. 214, 41–47 (2017). PubMed DOI

Teng, M. et al. The impacts of climate changes and human activities on net primary productivity vary across an ecotone zone in Northwest China. Sci. Total Environ. 714, 136691 (2020). PubMed DOI

Zani, D. et al. Increased growing-season productivity drives earlier autumn leaf senescence in temperate trees. Science 370, 1066–1071 (2020). PubMed DOI

Luo, Y. et al. Nutrients and water availability constrain the seasonality of vegetation activity in a Mediterranean ecosystem. Glob. Change Biol. 26, 4379–4400 (2020). DOI

Walker, M. D. et al. Plant community responses to experimental warming across the tundra biome. Proc. Natl Acad. Sci. USA 103, 1342–1346 (2006). PubMed DOI PMC

Parmesan, C. & Hanley, M. E. Plants and climate change: complexities and surprises. Ann. Bot. 106, 849–864 (2015). DOI

Olofsson, J. et al. Herbivores inhibit climate‐driven shrub expansion on the tundra. Glob. Change Biol. 15, 2681–2693 (2009). DOI

Maestre, F. T. et al. Grazing and ecosystem service delivery in global drylands. Science 378, 915–920 (2022). PubMed DOI

Yahdjian, L. et al. Why coordinated distributed experiments should go global. BioScience 71, 918–927 (2021). DOI

Borer, E. T. et al. Finding generality in ecology: a model for globally distributed experiments. Methods Ecol. Evol. 5, 65–73 (2014). DOI

White, R. P., Murray, S., Rohweder, M., Prince, S. D. & Thompson, K. M. Grassland Ecosystems (World Resources Institute, 2000).

Axelrod, D. I. Rise of the grassland biome, central North America. Bot. Rev. 51, 163–201 (1985). DOI

Sala, O. E. et al. Primary production of the central grassland region of the United States. Ecology 69, 40–45 (1988). DOI

Knapp, A. K. & Smith, M. D. Variation among biomes in temporal dynamics of aboveground primary production. Science 291, 481–484 (2001). PubMed DOI

Gilbert, B. et al. Climate and local environment structure asynchrony and the stability of primary production in grasslands. Glob. Ecol. Biogeogr. 7, 1177–1188 (2020). DOI

Harris, I., Osborn, T. J., Jones, P. & Lister, D. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Sci. Data 7, 109 (2020). PubMed DOI PMC

Ackerman, D., Millet, D. B. & Chen, X. Global estimates of inorganic nitrogen deposition across four decades. Global Biogeochem. Cy. 33, 100–107 (2019). DOI

van der Plas, F. et al. Plant traits alone are poor predictors of ecosystem properties and long-term ecosystem functioning. Nat. Ecol. Evol. 4, 1602–1611 (2020). PubMed DOI

Heisler-White, J. L., Knapp, A. K. & Kelly, E. F. Increasing precipitation event size increases aboveground net primary productivity in a semi-arid grassland. Oecologia 158, 129–140 (2008). PubMed DOI

Xia, J. et al. Spatio-temporal patterns and climate variables controlling of biomass carbon stock of global grassland ecosystems from 1982 to 2006. Remote Sens. 6, 1783–1802 (2014). DOI

Orndahl, K. M., Macander, M. J., Berner, L. T. & Goetz, S. J. Plant functional type aboveground biomass change within Alaska and northwest Canada mapped using a 35-year satellite time series from 1985 to 2020. Environ. Res. Lett. 17, 115010 (2022). DOI

Boone, R. B., Conant, R. T., Sircely, J., Thornton, P. K. & Herrero, M. Climate change impacts on selected global rangeland ecosystem services. Glob. Change Biol. 24, 1382–1393 (2018). DOI

Andresen, L. C. et al. Biomass responses in a temperate European grassland through 17 years of elevated CO DOI

MacDougall, A. S. et al. Comparison of the distribution and phenology of Arctic mountain plants between the early 20th and 21st centuries. Glob. Change Biol. 27, 5070–5083 (2021). DOI

Möhl, P., von Büren, R. S. & Hiltbrunner, E. Growth of alpine grassland will start and stop earlier under climate warming. Nat. Commun. 13, 7398 (2022). PubMed DOI PMC

Friedman, A. R. et al. Interhemispheric temperature asymmetry over the twentieth century and in future projections. J. Clim. 26, 5419–5433 (2013). DOI

MacDougall, A. S., Wilson, S. D. & Bakker, J. D. Climatic variability alters the outcome of long‐term community assembly. J. Ecol. 96, 346–354 (2008). DOI

Grace, J. B. et al. Integrative modelling reveals mechanisms linking productivity and plant species richness. Nature 529, 390–393 (2016). PubMed DOI

Anderson, T. M. et al. Herbivory and eutrophication mediate grassland plant nutrient responses across a global climatic gradient. Ecology 99, 822–831 (2018). PubMed DOI

Dee, L. E. et al. Clarifying the effect of biodiversity on productivity in natural ecosystems with longitudinal data and methods for causal inference. Nat. Commun. 14, 2607 (2023). PubMed DOI PMC

Seabloom, E. W. et al. Plant species’ origin predicts dominance and response to nutrient enrichment and herbivores in global grasslands. Nat. Commun. 6, 7710 (2015). PubMed DOI

Borer, E. T. et al. Herbivores and nutrients control grassland plant diversity via light limitation. Nature 508, 517–520 (2014). PubMed DOI

Borer, E. T. et al. Nutrients cause grassland biomass to outpace herbivory. Nat. Commun. 11, 6036 (2020). PubMed DOI PMC

Delegido, J. et al. A red-edge spectral index for remote sensing estimation of green LAI over agroecosystems. Eur. J. Agron. 46, 42–52 (2013). DOI

Eisfelder, C. et al. Above-ground biomass estimation based on NPP time-series—a novel approach for biomass estimation in semi-arid Kazakhstan. Ecol. Indic. 72, 13–22 (2017). DOI

Donat, M. G., Lowry, A. L., Alexander, L. V., O’Gorman, P. A. & Maher, N. More extreme precipitation in the world’s dry and wet regions. Nat. Clim. Change 6, 508–513 (2016). DOI

Zeng, X. et al. The global decline in the sensitivity of vegetation productivity to precipitation from 2001 to 2018. Glob. Change Biol. 28, 6823–6833 (2022). DOI

Clay, D. E. et al. Does the conversion of grasslands to row crop in semi-arid areas threaten global food supplies? Glob. Food Secur. 3, 22–30 (2014). DOI

Godde, C. M. et al. Global rangeland production systems and livelihoods at threat under climate change and variability. Environ. Res. Lett. 15, 044021 (2020). DOI

Jackson, R. B., Banner, J. L., Jobbágy, E. G., Pockman, W. T. & Wall, D. H. Ecosystem carbon loss with woody plant invasion of grasslands. Nature 418, 623–626 (2002). PubMed DOI

Cleland, E. E. et al. Belowground biomass response to nutrient enrichment depends on light limitation across globally distributed grasslands. Ecosystems 7, 1466–1477 (2019). DOI

Hungate, B. A. et al. The fate of carbon in grasslands under carbon dioxide enrichment. Nature 388, 576–579 (1997). DOI

Chen, M. et al. Assessing precipitation, evapotranspiration, and NDVI as controls of US Great Plains plant production. Ecosphere 10, e02889 (2019). DOI

Jiang, Z. et al. Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction. Remote Sens. Environ. 101, 366–378 (2006). DOI

Rocchini, D., Ricotta, C. & Chiarucci, A. Using satellite imagery to assess plant species richness: the role of multispectral systems. Appl. Veg. Sci. 10, 325–331 (2007). DOI

Kong, L. et al. Natural capital investments in China undermined by reclamation for cropland. Nat. Ecol. Evol. 7, 1771–1777 (2023).

Goldewijk, K. K. Estimating global land use change over the past 300 years: the HYDE database. Glob. Biogeochem. Cycles 15, 417–433 (2001). DOI

Lehmann, C. E. et al. Savanna vegetation–fire–climate relationships differ among continents. Science 343, 548–552 (2014). PubMed DOI

Firn, J. et al. Abundance of introduced species at home predicts abundance away in herbaceous communities. Ecol. Lett. 14, 274–281 (2011). PubMed DOI

Potere, D. Horizontal positional accuracy of Google Earth’s high-resolution imagery archive. Sensors 8, 7973–7981 (2008). PubMed DOI PMC

Salinas-Castillo, W. E. & Paredes-Hernández, C. U. Horizontal and vertical accuracy of Google Earth®: comment on ‘Positional accuracy of the Google Earth terrain model derived from stratigraphic unconformities in the Big Bend region, Texas, USA’ by S.C. Benker, R.P. Langford and T.L. Pavlis. Geocarto Int. 29, 625–627 (2014). DOI

Landsat Collection 1. United States Geological Survey (USGS) https://www.usgs.gov/landsat-missions/landsat-collection-1 (2023).

Huete, A. et al. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens. Environ. 83, 195–213 (2002). DOI

Young, A. T. Rayleigh scattering. Appl. Opt. 20, 533–535 (1981). PubMed DOI

R Core Team. R: A language and environment for statistical computing; https://www.R-project.org/ (R Foundation for Statistical Computing, 2021).

Zuur, A. F., Ieno, E. N. & Elphick, C. S. A protocol for data exploration to avoid common statistical problems. Methods Ecol. Evol. 1, 3–14 (2010). DOI

Gelman, A. arm: Data analysis using regression and multilevel/hierarchical models; http://cran.r-project.org/web/packages/arm (2011).

Grueber, C. E., Nakagawa, S., Laws, R. J. & Jamieson, I. G. Multi-model inference in ecology and evolution: challenges and solutions. J. Evol. Biol. 24, 699–711 (2011). PubMed DOI

Seabloom, E. W. et al. Species loss due to nutrient addition increases with spatial scale in global grasslands. Ecol. Lett. 24, 2100–2112 (2021). PubMed DOI

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