Farmland Carbon and Water Exchange and Its Response to Environmental Factors in Arid Northwest China

Author:

Zheng Xinqian1,Yang Fan234,Mamtimin Ali234ORCID,Huo Xunguo1,Gao Jiacheng234,Ji Chunrong1,Abudukade Silalan234,Li Chaofan5,Sun Yingwei6,Wang Wenbiao7,Cui Zhengnan7,Wang Yu234,Ma Mingjie234,Huo Wen234ORCID,Zhou Chenglong234,Yang Xinghua234ORCID

Affiliation:

1. Xinjiang Agro-Meteorological Observatory, Xinjiang University, Urumqi 830002, China

2. Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China

3. National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang, Urumqi 830002, China

4. Taklimakan Desert Meteorology Field Experiment Station, China Meteorological Administration, Urumqi 830002, China

5. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, School of Geographic Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China

6. Xinjiang Information Engineering School, Xinjiang University, Urumqi 830002, China

7. Elion Resources Group Co., Ltd., NO.15 Guanghua Road, Chaoyang District, Beijing 100026, China

Abstract

Carbon neutrality is an important target in China’s efforts to combat the climate crisis. The implementation of carbon neutrality requires high crop yields in farmland ecosystems of arid regions. However, the responses of farmland ecosystems to environmental changes and their effects on the conversion and intensity of carbon sources/sinks within farmlands in arid regions remain unclear, which limits carbon sequestration. In this study, we used a set of eddy covariance systems to observe carbon and water fluxes in cotton and spring maize, two typical crops in arid regions of Northern Xinjiang in China. The carbon and water exchange and water use efficiency (WUE) of cotton and spring maize were evaluated over the entire growth cycle with respect to changes in the environment. Our results show that the carbon sequestration capacity of farmland ecosystems in arid regions is undeniable and is strongly influenced by the growth and development of plants. Spring maize, as a representative of C4 plants, exhibited a 58.4% higher carbon sequestration efficiency than cotton, a C3 plant, and they both reached their carbon sequestration efficiency peak in July. Throughout the growth period, temperature, net surface radiation, and saturated vapor pressure differences (VPD) significantly affected the carbon sequestration capacity and WUE of both crops. Optimal temperatures can maximize the carbon sequestration efficiency of cotton and spring maize; for cotton, they are 20–25 °C, and for spring maize, they are 22–27 °C, respectively. In addition, it is recommended that spring maize be harvested at the end of July when it meets the harvesting standards for silage feed and achieves the maximum carbon sequestration. Afterward, winter crops should be planted to maximize the yield and improve the carbon sequestration capacity of farmlands.

Funder

the Natural Science Foundation of Xinjiang Uygur Autonomous Region

the Chinese Desert Meteorological Science Research Found

the National Natural Science Foundation of China

the Scientific and Technological Innovation Team (Tianshan Innovation Team) Project of Xinjiang

Publisher

MDPI AG

Subject

Nature and Landscape Conservation,Ecology,Global and Planetary Change

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