Skip to main content
Log in

Global prioritisation of renewable nitrogen for biodiversity conservation and food security

  • Published:
Journal of Geographical Sciences Aims and scope Submit manuscript

Abstract

The continuing use of petrochemicals in mineral nitrogen (N) production may be affected by supply or cost issues and climate agreements. Without mineral N, a larger area of cropland is required to produce the same amount of food, impacting biodiversity. Alternative N sources include solar and wind to power the Haber-Bosch process, and the organic options such as green manures, marine algae and aquatic azolla. Solar power was the most land-efficient renewable source of N, with using a tenth as much land as wind energy, and at least 100th as much land as organic sources of N. In this paper, we developed a decision tree to locate these different sources of N at a global scale, or the first time taking into account their spatial footprint and the impact on terrestrial biodiversity while avoiding impact on albedo and cropland, based on global resource and impact datasets. This produced relatively few areas suitable for solar power in the western Americas, central southern Africa, eastern Asia and southern Australia, with areas most suited to wind at more extreme latitudes. Only about 2% of existing solar power stations are in very suitable locations. In regions such as coastal north Africa and central Asia where solar power is less accessible due to lack of farm income, green manures could be used, however, due to their very large spatial footprint only a small area of low productivity and low biodiversity was suitable for this option. Europe in particular faces challenges because it has access to a relatively small area which is suitable for solar or wind power. If we are to make informed decisions about the sourcing of alternative N supplies in the future, and our energy supply more generally, a decision-making mechanism is needed to take global considerations into account in regional land-use planning.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Ali K, Munsif F, Zubair M et al., 2011. Management of organic and inorganic nitrogen for different maize varieties. Sarhad J. Agric., 27(4): 525–529.

    Google Scholar 

  • Antoine De Ramon N Y, Iese V, 2014. Marine plants as a sustainable source of agri-fertilizers for small island developing states (SIDS). Impacts of Climate Change on Food Security in Small Island Developing States, 280.

    Google Scholar 

  • Backhaus K, Gausling P, Hildebrand L, 2015. Comparing the incomparable: Lessons to be learned from models evaluating the feasibility of Desertec. Energy, 82: 905–913.

    Article  Google Scholar 

  • Biswas M, Parveen S, Shimozawa H et al., 2005. Effects of Azolla species on weed emergence in a rice paddy ecosystem. Weed Biology and Management, 5(4): 176–183.

    Article  Google Scholar 

  • Blankenhorn V, Resch B, 2014. Determination of suitable areas for the generation of wind energy in germany: Potential areas of the present and future. ISPRS International Journal of Geo-Information, 3(3): 942–967.

    Article  Google Scholar 

  • Capehart T, Stubbs M, 2007. Renewable energy policy in the 2008 farm bill. In: Caspian Energy Newspaper 2016, First wind farm launched in Caucasus region viewed 11/11/2016. http://caspianenergy.net/en/energy/35967-2016-10-07-09-07-55.

    Google Scholar 

  • Cavagnaro T R, 2015. Chapter five-biologically regulated nutrient supply systems: Compost and Arbuscular Mycorrhizas: A review. Advances in Agronomy, 129: 293–321.

    Article  Google Scholar 

  • Chennubhotla V, Rao M U, Rao K, 2013. Exploitation of marine algae in Indo-Pacific region. Seaweed Research and Utilization, 35(1/2): 1–7.

    Google Scholar 

  • Chianu J, Tsujii H, 2004. Determinants of farmers' decision to adopt or not adopt inorganic fertilizer in the savannas of northern Nigeria. Nutrient Cycling in Agroecosystems, 70(3): 293–301.

    Article  Google Scholar 

  • Crucefix D, 1998. Organic agriculture and sustainable rural livelihoods in developing countries. Report by Natural Resources and Ethical Trade Programme, June.

    Google Scholar 

  • Deign J, 2012. DNI: Measuring bang for your buck, viewed 19/10/2016. http://social.csptoday.com/markets/dnimeasuring-bang-your-buck.

    Google Scholar 

  • Dunn R, Lovegrove K, Burgess G, 2012. A review of ammonia-based thermochemical energy storage for concentrating solar power. Proceedings of the IEEE, 100(2): 391–400.

    Article  Google Scholar 

  • Eisner R, Seabrook L, McAlpine C A, 2016. Minimising the land area used by agriculture without petrochemical nitrogen. In: Proceedings of the International Nitrogen Initiative 2016. http://www.ini2016.com/1234.

    Google Scholar 

  • Fischer R, Byerlee D, Edmeades G, 2012. Crop yields and global food security. Canberra: Australian Center for International Agricultural Research.

    Google Scholar 

  • Florentinus A, Hamelinck C, de Lint S et al., 2008. Worldwide potential of aquatic biomass. Utrecht, Ecofys.

    Google Scholar 

  • Grassi S, Veronesi F, Schenkel R et al., 2015. Mapping of the global wind energy potential using open source GIS data.

    Google Scholar 

  • Heinstein P, Perret-Aebi L-E, Escarre Palou J et al., 2015. Energy harvesting and passive cooling: A new BIPV perspective opened by white solar modules. In: Proceedings of International Conference CISBAT 2015 Future Buildings and Districts Sustainability from Nano to Urban Scale, 675–680.

    Google Scholar 

  • Jacobson M Z, Delucchi M A, 2011. Providing all global energy with wind, water, and solar power (Part I): Technologies, energy resources, quantities and areas of infrastructure, and materials. Energy Policy, 39(3): 1154–1169.

    Article  Google Scholar 

  • Jiang J, Aulich T, 2008. JV Task-121 electrochemical synthesis of nitrogen fertilizers. University of North Dakota.

    Google Scholar 

  • Kier G, Kreft H, Lee T M et al., 2009. A global assessment of endemism and species richness across island and mainland regions. Proceedings of the National Academy of Sciences, 106(23): 9322–9327. doi: 10.1073/pnas.0810306106.

    Google Scholar 

  • Kruger P, 2006. Alternative Energy Resources: The Quest for Sustainable Energy. Wiley New Jersey.

    Google Scholar 

  • Leighty B, 2008. Two Farm Bill Research Initiatives Promise New Markets, Transmission, and Firming Storage for Diverse, Large-Scale Renewables as Hydrogen and Ammonia', in The NHA Annual Hydrogen Conference 2008.

    Google Scholar 

  • Leighty B, Holbrook J, 2008. Transmission and firming of GW-scale wind energy via hydrogen and ammonia. Wind Engineering, 32(1): 45–66.

    Article  Google Scholar 

  • Leighty W C, 2010. Transmission and annual-scale firming storage alternatives to electricity: Gaseous hydrogen and anhydrous ammonia via underground pipeline. In: Proceedings of the International Colloquium on Environmentally Preferred Advanced Power Generation, Costa Mesa, California, USA.

    Google Scholar 

  • Li D, 2013. Using GIS and remote sensing techniques for solar panel installation site selection [D]: University of Waterloo.

    Google Scholar 

  • Matthews R, De Pinto A, 2012. Should REDD+ fund ‘sustainable intensification’as a means of reducing tropical deforestation? Carbon Management, 3(2): 117–120.

    Article  Google Scholar 

  • Monfreda C, Ramankutty N, Foley J A, 2008. Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000. Global Biogeochemical Cycles, 22(1).

    Google Scholar 

  • NASA 2005. NASA SSE monthly average wind data at one-degree resolution of the world viewed 19/10/2016, https://en.openei.org/datasets/dataset/nasa-see-monthly-average-wind-data-at-one-degree-resolution-of-the-wo rld. — 2011. NASA solar direct normal viewed 19/10/2016. http://en.openei.org/datasets/dataset/nasa-sseglobal-monthly-average-solar-dni-data/resource/71ce20f6-240f-47cf-9197-c4f379a56f91>.

    Google Scholar 

  • NASA Earth Observations 2016. Albedo (1 month), viewed 19/10/2016. http://neo.sci.gsfc.nasa.gov/view.php? datasetId=MCD43C3_M_BSA&date=2016-08-01. Natural Earth 2016. Coastline, available online http://www.naturalearthdata.com/downloads/110m-physical-vectors/110m-coastline/, (accessed 19 October 2016).

    Google Scholar 

  • Nemet G F, 2009. Net radiative forcing from widespread deployment of photovoltaics. Environmental Science & Technology, 43(6): 2173–2178.

    Article  Google Scholar 

  • Phalan B, Green R E, Dicks L V et al., 2016. How can higher-yield farming help to spare nature? Science, 351(6272): 450–451.

    Article  Google Scholar 

  • Philibert C, 2005. The present and future use of solar thermal energy as a primary source of energy. International Energy Agency, Paris, France.

    Google Scholar 

  • Pihl E, Kushnir D, Sandén B et al., 2012. Material constraints for concentrating solar thermal power. Energy, 44(1): 944–954.

    Article  Google Scholar 

  • Rosenthal E, 2010. Solar industry learns lessons in Spanish sun. The New York Times, March, vol.8.

    Google Scholar 

  • Safarov V, 2015. Renewable energy perspectives of oil exporter Azerbaijan. Renewable Energy, Apr 16.

    Google Scholar 

  • Salmon J M, Friedl M A, Frolking S et al., 2015. Global rain-fed, irrigated, and paddy croplands: A new high resolution map derived from remote sensing, crop inventories and climate data. International Journal of Applied Earth Observation and Geoinformation, 38: 321–334.

    Article  Google Scholar 

  • Scheidel A, Sorman A H, 2012. Energy transitions and the global land rush: Ultimate drivers and persistent consequences, Global Environmental Change-Human and Policy Dimensions, 22(3): 588–595. doi: 10.1016/j. gloenvcha.2011.12.005.

    Google Scholar 

  • Shridhar B S, 2012. Review: Nitrogen fixing microorganisms. Int. J. Microbiol. Res., 3(1): 46–52.

    Google Scholar 

  • Tallaksen J, Bauer F, Hulteberg C et al., 2015. Nitrogen fertilizers manufactured using wind power: Greenhouse gas and energy balance of community-scale ammonia production. Journal of Cleaner Production, 107: 626–635.

    Article  Google Scholar 

  • Thomas R, Graven D H, Hoskins S B et al., 2016. What is meant by ‘balancing sources and sinks of greenhouse gases’ to limit global temperature rise? Briefing Note, (3): 1–5.

    Google Scholar 

  • Turney D, Fthenakis V, 2011. Environmental impacts from the installation and operation of large-scale solar power plants. Renewable and Sustainable Energy Reviews, 15(6): 3261–3270.

    Article  Google Scholar 

  • Wilson K A, McBride M F, Bode M et al., 2006. Prioritizing global conservation efforts. Nature, 440(7082): 337–340.

    Article  Google Scholar 

  • Yi S-K, Sin H-Y, Heo E, 2011. Selecting sustainable renewable energy source for energy assistance to North Korea. Renewable and Sustainable Energy Reviews, 15(1): 554–563.

    Article  Google Scholar 

Download references

Acknowledgements

We appreciate those who supplied data, The University of Queensland, who supported the research, Alvaro Sala who taught me GIS and Paul Lawrence and The Queensland Government for getting me interested in spatial prioritisation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Eisner Rowan.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rowan, E., Seabrook, L. & McAlpine, C. Global prioritisation of renewable nitrogen for biodiversity conservation and food security. J. Geogr. Sci. 28, 1567–1579 (2018). https://doi.org/10.1007/s11442-018-1561-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11442-018-1561-2

Keywords

Navigation