Affiliation:
1. Institut Agro, EPHOR
2. Univ.Angers, Institut Agro, INRAE, IRHS, SFR QUASAV
Abstract
Abstract
Urban green spaces (UGSs) are mostly represented by lawns and forests. These UGSs can store carbon in soil and above-ground biomass, potentially modulated by management intensity and vegetation cover (shading, rainfall intercept, litterfall, …). Trees in lawns can create a local microclimate modifying soil biogeochemical cycles affecting in turn greenhouse gas (GHG) emissions. The objective of this study was to assess the effects of trees on microclimate (temperature and moisture) influencing GHG in contrasted UGS types. We monthly monitored (from March to November 2021) and compared soil CO2, CH4 and N2O fluxes simultaneously with surface temperature and moisture in treed lawns, open lawns and urban forests. Lawns included 4 different management intensities including mowing, irrigation and fertilization practices. Temperature was the best predictor of soil respiration in all UGS types studied and was the highest in open lawns. We showed that moisture reflected by the water filled pore space (WFPS) significantly added on variation explanation. The shading of trees strongly decreased soil respiration in treed lawns while soil properties were similar indicating a straightforward effect of lowering temperature. On the contrary, forests deeply changed soil properties as well as decreased soil temperature resulting in the lowest rates of soil respiration. Urban forests are a sink for CH4 throughout the year. Lawns were weak to mitigate CH4 and a source of CH4 in irrigated parks where WFPS overpassed 75%. N2O fluxes were weak probably reflecting the transition already made from mineral to organic fertilization limiting N availability.
Publisher
Research Square Platform LLC
Reference61 articles.
1. Dog Urine Has Acute Impacts on Soil Chemistry in Urban Greenspaces;Allen J;Front Ecol Evol,2020
2. Baize D, Girard M-C (2009) Référentiel pédologique 2008. Éditions Quae, Versailles
3. Nitrous oxide emissions from a cropped soil in a semi-arid climate;Barton L;Global Change Biol,2007
4. Brisson N, Launay M (2008) Conceptual Basis, Formalisations and Parameterization of the Stics Crop Model. Editions Quae, Paris
5. Butterbach-Bahl K, Sander BO, Pelster D, Díaz-Pinés E (2016) Quantifying Greenhouse Gas Emissions from Managed and Natural Soils. In: Rosenstock TS, Rufino MC, Butterbach-Bahl K et al (eds) Methods for Measuring Greenhouse Gas Balances and Evaluating Mitigation Options in Smallholder Agriculture. Springer International Publishing, Cham, pp 71–96