Model‐based impact analysis of climate change and land‐use intensification on trophic networks

[en] There is well‐established evidence that land use is the main driver of terrestrial biodiversity loss. In contrast, the combined effects of land‐use and climate changes on food webs, particularly on terrestrial trophic networks, are understudied. In this study, we investigate the combined effects of climate change (temperature, precipitation) and land‐use intensification on food webs using a process‐based general mechanistic ecosystem model (‘MadingleyR'). We simulated the ecosystem dynamics of four regions in different climatic zones (Brazil, Namibia, Finland and France) according to trait‐based functional groups of species (ectothermic and endothermic herbivores, carnivores and omnivores). The simulation results were consistent across the selected regions, with land‐use intensification negatively affecting endotherms, whereas ectotherms were under increased pressure from rising temperatures. Land‐use intensification led to the downsizing of endotherms, and thus, to smaller organisms in the food web. In combination with climate change, land‐use intensification had the greatest effect on higher trophic levels, culminating in the extinction of endothermic carnivores in Namibia and Finland and endothermic omnivores in Namibia. Arid and tropical regions showed a slightly higher response of total biomass to climate change under a high‐emissions scenario with rising temperatures, whereas areas with low net primary productivity showed the most negative response to land‐use intensification. Our results suggest that 1) further land‐use intensification will significantly affect larger organisms and predators, leading to a major restructuring of global food webs. 2) Arid low‐productivity regions will experience significant changes in community composition due to global change. 3) Climate changes appear to have slightly greater effects in tropical and arid climates, whereas land‐use intensification tends to affect less productive environments. This paper shows how general ecosystem models deepen our understanding of multitrophic interactions and how climate change or land‐use drivers affect ecosystems in different biomes.

Research center :

Luxembourg Centre for Socio-Environmental Systems (LCSES)

Disciplines :

Environmental sciences & ecology
Zoology
Earth sciences & physical geography

Author, co-author :

Neumann, Christian

Sritongchuay, Tuanjit

SEPPELT, Ralf ; University of Luxembourg > Luxembourg Centre for Socio-Environmental Systems (LCSES)

External co-authors :

yes

Language :

English

Title :

Model‐based impact analysis of climate change and land‐use intensification on trophic networks

Publication date :

2024

Journal title :

Ecography

ISSN :

0906-7590

eISSN :

1600-0587

Publisher :

Blackwell, Oxford, Gb

Pages :

e07533

Peer reviewed :

Peer Reviewed verified by ORBi

Focus Area :

Sustainable Development

Development Goals :

15. Life on land

Additional URL :

https://nsojournals.onlinelibrary.wiley.com/doi/10.1111/ecog.07533

Available on ORBilu :

since 23 May 2025

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Number of downloads

18 (1 by Unilu)

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Bibliography

Allen, A. P., Brown, J. H. and Gillooly, J. F. 2002. Global biodiversity, biochemical kinetics, and the energetic-equivalence rule. – Science 297: 1545–1548.
Antunes, A. C., Gauzens, B., Brose, U., Potapov, A. M., Jochum, M., Santini, L., Eisenhauer, N., Ferlian, O., Cesarz, S., Scheu, S. and Hirt, M. R. 2023. Environmental drivers of local abundance–mass scaling in soil animal communities. – Oikos 2023: e09735.
Barnes, A. D. et al. 2017. Direct and cascading impacts of tropical land-use change on multi-trophic biodiversity. – Nat. Ecol. Evol. 1: 1511–1519.
Bartlett, L. J., Newbold, T., Purves, D. W., Tittensor, D. P. and Harfoot, M. B. J. 2016. Synergistic impacts of habitat loss and fragmentation on model ecosystems. – Proc. R. Soc. B 283: 20161027.
Barychka, T., Mace, G. M. and Purves, D. W. 2021. The Madingley general ecosystem model predicts bushmeat yields, species extinction rates and ecosystem-level impacts of bushmeat harvesting. – Oikos 130: 1930–1942.
Beck, H. E., Zimmermann, N. E., McVicar, T. R., Vergopolan, N., Berg, A. and Wood, E. F. 2018. Present and future Köppen-Geiger climate classification maps at 1-km resolution. – Sci. Data 5: 180214.
Beckmann, M., Gerstner, K., Akin-Fajiye, M., Ceaușu, S., Kambach, S., Kinlock, N. L., Phillips, H. R. P., Verhagen, W., Gurevitch, J., Klotz, S., Newbold, T., Verburg, P. H., Winter, M. and Seppelt, R. 2019. Conventional land-use intensification reduces species richness and increases production: a global meta-analysis. – Global Change Biol. 25: 1941–1956.
Blackburn, T. M. and Gaston, K. J. 1999. The relationship between animal abundance and body size: a review of the mechanisms. – Adv. Ecol. Resr 28: 181–210.
Bloor, J. M. G., Si-Moussi, S., Taberlet, P., Carrère, P. and Hedde, M. 2021. Analysis of complex trophic networks reveals the signature of land-use intensification on soil communities in agroecosystems. – Sci. Rep. 11: 18260.
Botella, C., Gaüzère, P., O'Connor, L., Ohlmann, M., Renaud, J., Dou, Y., Graham, C. H., Verburg, P. H., Maiorano, L. and Thuiller, W. 2024. Land-use intensity influences European tetrapod food webs. – Global Change Biol. 30: e17167.
Brown, J. H., Gillooly, J. F., Allen, A. P., Savage, V. M. and West, G. B. 2004. Toward a metabolic theory of ecology. – Ecology 85: 1771–1789.
Buckley, L. B., Hurlbert, A. H. and Jetz, W. 2012. Broad-scale ecological implications of ectothermy and endothermy in changing environments: ectothermy and endothermy. – Global Ecol. Biogeogr. 21: 873–885.
Burian, A., Kremen, C., Wu, J. S.-T., Beckmann, M., Bulling, M., Garibaldi, L. A., Krisztin, T., Mehrabi, Z., Ramankutty, N. and Seppelt, R. 2024. Biodiversity–production feedback effects lead to intensification traps in agricultural landscapes. – Nat. Ecol. Evol. 8: 752–760.
Burraco, P., Orizaola, G., Monaghan, P. and Metcalfe, N. B. 2020. Climate change and ageing in ectotherms. – Global Change Biol. 26: 5371–5381.
Cabral, J. S., Valente, L. and Hartig, F. 2017. Mechanistic simulation models in macroecology and biogeography: state-of-art and prospects. – Ecography 40: 267–280.
Canty, A. and Ripley, B. 2022. boot: bootstrap R (S-plus) functions. – https://CRAN.R-project.org/package=boot.
Cao, D., Zhang, J., Han, J., Zhang, T., Yang, S., Wang, J., Prodhan, F. A. and Yao, F. 2022. Projected increases in global terrestrial net primary productivity loss caused by drought under climate change. – Earths Future 10: e2022EF002681.
Chrysafi, A. et al. 2022. Quantifying Earth system interactions for sustainable food production via expert elicitation. – Nat. Sustain. 5: 830–842.
Danner, R. M., Coomes, C. M. and Derryberry, E. P. 2021. Simulated heat waves reduce cognitive and motor performance of an endotherm. – Ecol. Evol. 11: 2261–2272.
Davison, A. C. and Hinkley, D. V. 1997. Bootstrap methods and their application. – Cambridge Univ. Press.
Deutsch, C. A., Tewksbury, J. J., Huey, R. B., Sheldon, K. S., Ghalambor, C. K., Haak, D. C. and Martin, P. R. 2008. Impacts of climate warming on terrestrial ectotherms across latitude. – Proc. Natl Acad. Sci. USA 105: 6668–6672.
Enquist, B. J., Abraham, A. J., Harfoot, M. B. J., Malhi, Y. and Doughty, C. E. 2020. The megabiota are disproportionately important for biosphere functioning. – Nat. Commun. 11: 699.
Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J. and Taylor, K. E. 2016. Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. – Geosci. Model Dev. 9: 1937–1958.
Fricke, E. C., Hsieh, C., Middleton, O., Gorczynski, D., Cappello, C. D., Sanisidro, O., Rowan, J., Svenning, J.-C. and Beaudrot, L. 2022. Collapse of terrestrial mammal food webs since the Late Pleistocene. – Science 377: 1008–1011.
Gerstner, K., Dormann, C. F., Stein, A., Manceur, A. M. and Seppelt, R. 2014. Editor's choice: review: effects of land use on plant diversity – a global meta-analysis. – J. Appl. Ecol. 51: 1690–1700.
Gonçalves, F., Sales, L. P., Galetti, M. and Pires, M. M. 2021. Combined impacts of climate and land use change and the future restructuring of Neotropical bat biodiversity. – Perspect. Ecol. Conserv. 19: 454–463.
Haberl, H., Erb, K. H., Krausmann, F., Gaube, V., Bondeau, A., Plutzar, C., Gingrich, S., Lucht, W. and Fischer-Kowalski, M. 2007. Quantifying and mapping the human appropriation of net primary production in earth's terrestrial ecosystems. – Proc. Natl Acad. Sci. USA 104: 12942–12947.
Harfoot, M. B. J., Newbold, T., Tittensor, D. P., Emmott, S., Hutton, J., Lyutsarev, V., Smith, M. J., Scharlemann, J. P. W. and Purves, D. W. 2014. Emergent global patterns of ecosystem structure and function from a mechanistic general ecosystem model. – PLoS Biol. 12: e1001841.
Hayden Bofill, S. I. and Blom, M. P. K. 2024. Climate change from an ectotherm perspective: evolutionary consequences and demographic change in amphibian and reptilian populations. – Biodivers. Conserv. 33: 905–927.
Hedges, L. V., Gurevitch, J. and Curtis, P. S. 1999. The meta-analysis of response ratios in experimental ecology. – Ecology 80: 1150–1156.
Hoeks, S., Huijbregts, M. A. J., Busana, M., Harfoot, M. B. J., Svenning, J. C. and Santini, L. 2020. Mechanistic insights into the role of large carnivores for ecosystem structure and functioning. – Ecography 43: 1752–1763.
Hoeks, S., Tucker, M. A., Huijbregts, M. A. J., Harfoot, M. B. J., Bithell, M. and Santini, L. 2021. MadingleyR: an R package for mechanistic ecosystem modelling. – Global Ecol. Biogeogr. 30: 1922–1933.
Hoeks, S., Huijbregts, M. A. J., Boonman, C. C. F., Faurby, S., Svenning, J., Harfoot, M. B. J. and Santini, L. 2023. Shifts in ecosystem equilibria following trophic rewilding. – Divers. Distrib. 29: 1512–1526.
Hopcraft, J. G. C., Olff, H. and Sinclair, A. R. E. 2010. Herbivores, resources and risks: alternating regulation along primary environmental gradients in savannas. – Trends Ecol. Evol. 25: 119–128.
Huey, R. B., Kearney, M. R., Krockenberger, A., Holtum, J. A. M., Jess, M. and Williams, S. E. 2012. Predicting organismal vulnerability to climate warming: roles of behaviour, physiology and adaptation. – Philos. Trans. R. Soc. B 367: 1665–1679.
IPBES 2019. Global assessment report on biodiversity and ecosystem services of the intergovernmental science-policy platform on biodiversity and ecosystem services. – IPBES.
IPCC 2021. Climate change 2021 – the physical science basis: working group I contribution to the sixth assessment report of the intergovernmental panel on climate change. – Cambridge Univ. Press.
Jaureguiberry, P., Titeux, N., Wiemers, M., Bowler, D. E., Coscieme, L., Golden, A. S., Guerra, C. A., Jacob, U., Takahashi, Y., Settele, J., Díaz, S., Molnár, Z. and Purvis, A. 2022. The direct drivers of recent global anthropogenic biodiversity loss. – Sci. Adv. 8: eabm9982.
Johnston, A. S. A. 2024. Predicting emergent animal biodiversity patterns across multiple scales. – Global Change Biol. 30: e17397.
Johnston, A. S. A. and Sibly, R. M. 2020. Multiple environmental controls explain global patterns in soil animal communities. – Oecologia 192: 1047–1056.
Johnston, A. S. A., Boyd, R. J., Watson, J. W., Paul, A., Evans, L. C., Gardner, E. L. and Boult, V. L. 2019. Predicting population responses to environmental change from individual-level mechanisms: towards a standardized mechanistic approach. – Proc. R. Soc. B 286: 20191916.
Kingsolver, J. G., Diamond, S. E. and Buckley, L. B. 2013. Heat stress and the fitness consequences of climate change for terrestrial ectotherms. – Funct. Ecol. 27: 1415–1423.
Kok, M. T. J., Meijer, J. R., Van Zeist, W.-J., Hilbers, J. P., Immovilli, M., Janse, J. H., Stehfest, E., Bakkenes, M., Tabeau, A., Schipper, A. M. and Alkemade, R. 2023. Assessing ambitious nature conservation strategies in a below 2-degree and food-secure world. – Biol. Conserv. 284: 110068.
Krause, J., Harfoot, M., Hoeks, S., Anthoni, P., Brown, C., Rounsevell, M. and Arneth, A. 2022. How more sophisticated leaf biomass simulations can increase the realism of modelled animal populations. – Ecol. Modell. 471: 110061.
Kronfeld-Schor, N. and Dayan, T. 2013. Thermal ecology, environments, communities, and global change: energy intake and expenditure in endotherms. – Annu. Rev. Ecol. Evol. Syst. 44: 461–480.
Lajeunessei, M. J. 2011. On the meta-analysis of response ratios for studies with correlated and multi-group designs. – Ecology 92: 2049–2055.
Lasmar, C. J., Rosa, C., Queiroz, A. C. M., Nunes, C. A., Imata, M. M. G., Alves, G. P., Nascimento, G. B., Ázara, L. N., Vieira, L., Louzada, J., Feitosa, R. M., Brescovit, A. D., Passamani, M. and Ribas, C. R. 2021. Temperature and productivity distinctly affect the species richness of ectothermic and endothermic multitrophic guilds along a tropical elevational gradient. – Oecologia 197: 243–257.
Leclère, D. et al. 2020. Bending the curve of terrestrial biodiversity needs an integrated strategy. – Nature 585: 551–556.
Lewis, H. M., Law, R. and McKane, A. J. 2008. Abundance–body size relationships: the roles of metabolism and population dynamics. – J. Anim. Ecol. 77: 1056–1062.
Lieth, H. 1975. Modeling the primary productivity of the world. – In: Lieth, H. and Whittaker, R. H. (eds), Primary productivity of the biosphere, ecological studies. Springer, pp. 237–263.
Loh, J., Green, R. E., Ricketts, T., Lamoreux, J., Jenkins, M., Kapos, V. and Randers, J. 2005. The living planet index: using species population time series to track trends in biodiversity. – Philos. Trans. R. Soc. B 360: 289–295.
Mantyka-pringle, C. S., Martin, T. G. and Rhodes, J. R. 2012. Interactions between climate and habitat loss effects on biodiversity: a systematic review and meta-analysis. – Global Change Biol. 18: 1239–1252.
Munn, A. J., Dunne, C., Müller, D. W. H. and Clauss, M. 2013. Energy in-equivalence in Australian marsupials: evidence for disruption of the continent's mammal assemblage, or are rules meant to be broken? – PLoS One 8: e57449.
Nagy, K. A. 2005. Field metabolic rate and body size. – J. Exp. Biol. 208: 1621–1625.
Neumann, C., Sritongchuay, T. and Seppelt, R. 2024. Data from: Model-based impact analysis of climate change and land-use intensification on trophic networks. – Github, https://github.com/CNeu-hub/Madingley_CC_LU.
Newbold, T. et al. 2015. Global effects of land use on local terrestrial biodiversity. – Nature 520: 45–50.
Newbold, T., Bentley, L. F., Hill, S. L. L., Edgar, M. J., Horton, M., Su, G., Şekercioğlu, Ç. H., Collen, B. and Purvis, A. 2020a. Global effects of land use on biodiversity differ among functional groups. – Funct. Ecol. 34: 684–693.
Newbold, T., Tittensor, D. P., Harfoot, M. B. J., Scharlemann, J. P. W. and Purves, D. W. 2020b. Non-linear changes in modelled terrestrial ecosystems subjected to perturbations. – Sci. Rep. 10: 14051.
O'Connor, L. M. J., Cosentino, F., Harfoot, M. B. J., Maiorano, L., Mancino, C., Pollock, L. J. and Thuiller, W. 2024. Vulnerability of terrestrial vertebrate food webs to anthropogenic threats in Europe. – Global Change Biol. 30: e17253.
O'Neill, B. C., Tebaldi, C., Van Vuuren, D. P., Eyring, V., Friedlingstein, P., Hurtt, G., Knutti, R., Kriegler, E., Lamarque, J.-F., Lowe, J., Meehl, G. A., Moss, R., Riahi, K. and Sanderson, B. M. 2016. The scenario model intercomparison project (ScenarioMIP) for CMIP6. – Geosci. Model Dev. 9: 3461–3482.
Oksanen, L., Fretwell, S. D., Arruda, J. and Niemela, P. 1981. Exploitation ecosystems in gradients of primary productivity. – Am. Nat. 118: 240–261.
Oliver, T. H. and Morecroft, M. D. 2014. Interactions between climate change and land use change on biodiversity: attribution problems, risks, and opportunities. – WIREs Clim. Change 5: 317–335.
Paaijmans, K. P., Heinig, R. L., Seliga, R. A., Blanford, J. I., Blanford, S., Murdock, C. C. and Thomas, M. B. 2013. Temperature variation makes ectotherms more sensitive to climate change. – Global Change Biol. 19: 2373–2380.
Pebesma, E. and Bivand, R. 2023. Spatial data science: with applications in R. – Chapman and Hall/CRC.
Pereira, H. M. et al. 2024. Global trends and scenarios for terrestrial biodiversity and ecosystem services from 1900 to 2050. – Science 384: 458–465.
Pilowsky, J. A., Colwell, R. K., Rahbek, C. and Fordham, D. A. 2022. Process-explicit models reveal the structure and dynamics of biodiversity patterns. – Sci. Adv. 8: eabj2271.
Prugh, L. R., Stoner, C. J., Epps, C. W., Bean, W. T., Ripple, W. J., Laliberte, A. S. and Brashares, J. S. 2009. The rise of the mesopredator. – BioScience 59: 779–791.
Pustejovsky, J. E. 2018. Using response ratios for meta-analyzing single-case designs with behavioral outcomes. – J. Sch. Psychol. 68: 99–112.
Ripple, W. J. et al. 2016. Saving the World's terrestrial megafauna. – BioScience 66: 807–812.
Ripple, W. J., Estes, J. A., Beschta, R. L., Wilmers, C. C., Ritchie, E. G., Hebblewhite, M., Berger, J., Elmhagen, B., Letnic, M., Nelson, M. P., Schmitz, O. J., Smith, D. W., Wallach, A. D. and Wirsing, A. J. 2014. Status and ecological effects of the World's largest carnivores. – Science 343: 1241484.
Rosenblatt, A. E., Smith-Ramesh, L. M. and Schmitz, O. J. 2017. Interactive effects of multiple climate change variables on food web dynamics: modeling the effects of changing temperature, CO2, and water availability on a tri-trophic food web. – Food Webs 13: 98–108.
Santini, L. and Isaac, N. J. B. 2021. Rapid Anthropocene realignment of allometric scaling rules. – Ecol. Lett. 24: 1318–1327.
Schipper, A. M., Hilbers, J. P., Meijer, J. R., Antão, L. H., Benítez-López, A., Jonge, M. M. J., Leemans, L. H., Scheper, E., Alkemade, R., Doelman, J. C., Mylius, S., Stehfest, E., Vuuren, D. P., Zeist, W. J. and Huijbregts, M. A. J. 2020. Projecting terrestrial biodiversity intactness with GLOBIO 4. – Global Change Biol. 26: 760–771.
Segan, D. B., Murray, K. A. and Watson, J. E. M. 2016. A global assessment of current and future biodiversity vulnerability to habitat loss–climate change interactions. – Global Ecol. Conserv. 5: 12–21.
Semenchuk, P., Plutzar, C., Kastner, T., Matej, S., Bidoglio, G., Erb, K.-H., Essl, F., Haberl, H., Wessely, J., Krausmann, F. and Dullinger, S. 2022. Relative effects of land conversion and land-use intensity on terrestrial vertebrate diversity. – Nat. Commun. 13: 615.
Seppelt, R., Arndt, C., Beckmann, M., Martin, E. A. and Hertel, T. W. 2020. Deciphering the biodiversity–production mutualism in the global food security debate. – Trends Ecol. Evol. 35: 1011–1020.
Sharpe, L. L., Prober, S. M. and Gardner, J. L. 2022. In the hot seat: behavioral change and old-growth trees underpin an Australian songbird's response to extreme heat. – Front. Ecol. Evol. 10: 813567.
Sheridan, J. A. and Bickford, D. 2011. Shrinking body size as an ecological response to climate change. – Nat. Clim. Change 1: 401–406.
Smith, M. J., Purves, D. W., Vanderwel, M. C., Lyutsarev, V. and Emmott, S. 2013. The climate dependence of the terrestrial carbon cycle, including parameter and structural uncertainties. – Biogeosciences 10: 583–606.
Strona, G. and Bradshaw, C. J. A. 2022. Coextinctions dominate future vertebrate losses from climate and land use change. – Sci. Adv. 8: eabn4345.
Trzcinski, M. K., Srivastava, D. S., Corbara, B., Dézerald, O., Leroy, C., Carrias, J. F., Dejean, A. and Céréghino, R. 2016. The effects of food web structure on ecosystem function exceeds those of precipitation. – J. Anim. Ecol. 85: 1147–1160.
Voldoire, A. 2019a. CNRM-CERFACS CNRM-CM6-1-HR model output prepared for CMIP6 CMIP historical (No. 20191021). – Earth System Grid Federation.
Voldoire, A. 2019b. CNRM-CERFACS CNRM-CM6-1-HR model output prepared for CMIP6 ScenarioMIP ssp126 (No. 20200127). – Earth System Grid Federation.
Voldoire, A. 2019c. CNRM-CERFACS CNRM-CM6-1-HR model output prepared for CMIP6 ScenarioMIP ssp585 (No. 20191202). – Earth System Grid Federation.
Welti, E. A. R., Prather, R. M., Sanders, N. J., De Beurs, K. M. and Kaspari, M. 2020. Bottom-up when it is not top–down: predators and plants control biomass of grassland arthropods. – J. Anim. Ecol. 89: 1286–1294.
White, E. P., Ernest, S. K. M., Kerkhoff, A. J. and Enquist, B. J. 2007. Relationships between body size and abundance in ecology. – Trends Ecol. Evol. 22: 323–330.
Wiens, J. J. and Zelinka, J. 2024. How many species will Earth lose to climate change? – Global Change Biol. 30: e17125.
Williams, J. J. and Newbold, T. 2021. Vertebrate responses to human land use are influenced by their proximity to climatic tolerance limits. – Divers. Distrib. 27: 1308–1323.
Williams, J. J., Freeman, R., Spooner, F. and Newbold, T. 2022. Vertebrate population trends are influenced by interactions between land use, climatic position, habitat loss and climate change. – Global Change Biol. 28: 797–815.