Impact of Plant Community Diversity on Greenhouse Gas Emissions in Riparian Zones

Author:

Li Guanlin12,Xu Jiacong3,Tang Yi1ORCID,Wang Yanjiao1,Lou Jiabao1,Xu Sixuan1,Iqbal Babar1ORCID,Li Yingnan34ORCID,Du Daolin5678

Affiliation:

1. School of Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China

2. Jiangsu Collaborative Innovation Center of Technology and Material of Water Treatment, Suzhou University of Science and Technology, Suzhou 215009, China

3. Department of Environmental Design, Jiangsu University, Zhenjiang 212013, China

4. Division of Environmental Science and Ecological Engineering, Korea University, Seoul 02841, Republic of Korea

5. Jingjiang College, Jiangsu University, Zhenjiang 212013, China

6. Institute of Environment and Ecology, School of Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China

7. School of Emergency Management, Jiangsu University, Zhenjiang 212013, China

8. School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China

Abstract

Plant community succession can impact greenhouse gas (GHG) emissions from the soil by altering the soil carbon and nitrogen cycles. However, the effects of community landscape diversity on soil GHG emissions have rarely been fully understood. Therefore, this study investigated how plant landscape diversity, structure type, and species composition, affect soil GHG emissions in a riparian zone. Soil GHG emissions were assessed by measuring the air samples collected from four study sites, which have different plant community structure types and species compositions (natural sites with complex plants, landscaped sites with fruit trees and grasses, untended sites with ruderals, and farmland sites), using the static chamber method. Significant differences were observed in soil carbon dioxide (CO2; p < 0.001), nitrous oxide (N2O; p < 0.001), and methane (CH4; p = 0.005) emissions. The untended site with ruderals exhibited the highest CO2 emissions, while N2O emissions increased as plant community diversity decreased. All sites acted as sinks for CH4 emissions, with decreased CH4 uptake efficiency in more diverse plant communities. The Mantel test and variance partitioning analysis revealed soil microbial biomass as an indirect influencer of GHG emissions. This study could help predict soil GHG emissions and their global warming potential under future changes in the island riparian zones.

Funder

Carbon Peak and Carbon Neutrality Technology Innovation Foundation of Jiangsu Province

Publisher

MDPI AG

Reference58 articles.

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