Daily and seasonal changes of soil respiration under the influence of temperature and moisture factors in different types of oak

Document Type : Complete scientific research article

Authors

1 Forestry Department, Faculty of Agriculture and Natural Resources, Lorestan University, Khorramabad, Iran

2 lorestan

3 Department of Soil Science, University of Kurdistan, Sanandaj, Kurdistan, Iran

Abstract

Background and Objectives: Soil respiration is carbon dioxide emission from soil surface which controls the primary carbon cycle in ecosystems. Recently, soil respiration has become an important ecological process in the global carbon balance and has an important impact on global climate change. Measuring soil respiration is important for quantifying the CO2 flux from soils to the atmosphere. The aim of this study is to compare the soil respiration rate at different hours of the day between five forest types (Pure Quercus infectoria) (Quercus infectoria-Quercus libani) (Pure Quercus libani) (Quercus libani- Quercus brantii- Quercus infectoria) (Quercus libani- Quercus infectoria) in the four seasons of the year (spring, summer, autumn, and winter) and to identify the effect of environmental factors (temperature and moisture) that cause changes in soil respiration rate were analyzed by using different models. Also, the correlation between respiration and soil chemical properties was evaluated.
Materials and methods: The five dominant forest types of the region were selected after forest walking and review of resources, and samples of 20 x 20 square meters were selected in each types of plot (so that it is representative of the desired types). In order to measure soil respiration, 8 PVC pipes with specific size and diameter were installed at a depth of 5 cm in the selected sample piece and measured using Anderson's method at different hours of the day. Soil temperature and moisture were recorded with a thermometer and a TDR device, respectively, simultaneously with the measurement of soil respiration. In order to conduct chemical tests, 5 soil samples from each type were taken in the growing season and transferred to the laboratory.
Background and Objectives: Soil respiration is carbon dioxide emission from soil surface which controls the primary carbon cycle in ecosystems. Recently, soil respiration has become an important ecological process in the global carbon balance and has an important impact on global climate change. Measuring soil respiration is important for quantifying the CO2 flux from soils to the atmosphere. The aim of this study is to compare the soil respiration rate at different hours of the day between five forest types (Pure Quercus infectoria) (Quercus infectoria-Quercus libani) (Pure Quercus libani) (Quercus libani- Quercus brantii- Quercus infectoria) (Quercus libani- Quercus infectoria) in the four seasons of the year (spring, summer, autumn, and winter) and to identify the effect of environmental factors (temperature and moisture) that cause changes in soil respiration rate were analyzed by using different models. Also, the correlation between respiration and soil chemical properties was evaluated.
Materials and methods: The five dominant forest types of the region were selected after forest walking and review of resources, and samples of 20 x 20 square meters were selected in each types of plot (so that it is representative of the desired types). In order to measure soil respiration, 8 PVC pipes with specific size and diameter were installed at a depth of 5 cm in the selected sample piece and measured using Anderson's method at different hours of the day. Soil temperature and moisture were recorded with a thermometer and a TDR device, respectively, simultaneously with the measurement of soil respiration. In order to conduct chemical tests, 5 soil samples from each type were taken in the growing season and transferred to the laboratory.
Results: The highest amount of soil respiration during the day was observed at 14:00 in the afternoon, also the Pure Libani type showed the highest rate of soil respiration with an average

Keywords


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