N2O concentration and its flux were measured in Sanjiang Plain wetland, from August to September in 2001, by using in situ closed chamber technique. The results showed that the mean N2O concentration above the ground was 281.7 x 10(-9) m3/m3, lower than the atmospheric N2O background, indicating the wetland maybe one of the important N2O sinks which scientists hadn't pay much attention to in the past. Four observation sites: Cares lasiocarpa, Alamagrostis angustifolia (I, II) and wheat land(had been harvested and in follow) were chosen according to water content and plant. The daily N2O emission models at four sites were different from each other, except site of wheat land emitted N2O persistently all day, the other sites emitted and absorbed alternately in one day. Temperature was the crucial factor for the diurnal variation. The mean N2O flux at four sites from August to September was 0.22 microgram/(m2.h), 1.75 microgram/(m2.h), 1.31 micrograms/(m2.h), 4.86 micrograms/(m2.h), respectively. Eh was the key factor for N2O emission characteristic in Sanjiang Plain wetland, and water content was another important factor.

Download full-text PDF

Source

Publication Analysis

Top Keywords

sanjiang plain
12
n2o
8
n2o concentration
8
plain wetland
8
august september
8
water content
8
n2o emission
8
[n2o concentration
4
concentration emission
4
emission characteristics
4

Similar Publications

Nanopore RNA direct sequencing identifies that mA modification is essential for sorbitol-controlled resistance to Alternaria alternata in apple.

Dev Cell

January 2025

State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing 100083, China; The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China; Ecological Observation and Research Station of Heilongjiang Sanjiang Plain Wetlands, National Forestry and Grassland Administration, Beijing Forestry University, Beijing 100083, China. Electronic address:

Sorbitol, a main photosynthate and transport carbohydrate in all tree fruit species in Rosaceae, acts as a signal controlling resistance against Alternaria (A.) alternata in apple by altering the expression of the MdNLR16 resistance gene via the MdWRKY79 transcription factor. However, it is not known if N-methyladenosine (mA) methylation of the mRNAs of these genes participates in the process.

View Article and Find Full Text PDF

The trajectory of wetland change in China between 1980 and 2020: hidden losses and restoration effects.

Sci Bull (Beijing)

December 2024

State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China. Electronic address:

Understanding wetland change is critical to establishing and implementing international conservation and management conventions. With such knowledge, supporting sustainable development, making management decisions, improving policies, and conducting scientific research become possible. However, consistent information on changes in Chinese wetlands has been unavailable.

View Article and Find Full Text PDF

Pedodiversity conservation is critical for the sustainable use of soil resources and the regulation of ecological security. To explore the relationship between pedodiversity and soil erosion over a prolonged history. In this paper, the response of the regional measurement factor for erosion (RMFE) to pedodiversity at different hierarchical levels was investigated using the optimal window method and structural equation modeling on the basis of water erosion-prone zones.

View Article and Find Full Text PDF
Article Synopsis
  • Identifying rice cultivation areas is crucial for understanding rice distribution and shaping agricultural policies.
  • The study utilizes a deep learning model called MSMTRIU-NET, which combines data from Landsat-8 and Sentinel-1 to improve identification accuracy using various spectral and polarimetric features.
  • Results from experiments in China's Sanjiang Plain indicate that using multi-source and multi-temporal images significantly enhances classification precision and the realism of the rice cultivation maps.
View Article and Find Full Text PDF

Assessment of groundwater quality variation characteristics and influencing factors in an intensified agricultural area: An integrated hydrochemical and machine learning approach.

J Environ Manage

December 2024

State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China. Electronic address:

The decline in groundwater quality in intensive agricultural areas in recent years, driven by environmental change and intensified human activity, poses a significant threat to agricultural production and public health, requiring attention and effective management. However, distinguishing the specific impacts of various factors on groundwater quality remains challenging, which hinders the effective management and prevention of groundwater pollution. This research integrates a hydrochemical analysis with the Entropy-weighted Water Quality Index, Self-Organizing Map (SOM) approach, and Boruta algorithm to investigate groundwater chemical variations and their influencing factors in the Sanjiang Plain, an important grain-producing region in China.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!