Soil Carbon Flux Sampling Strategy Based On Distribution Of Moisture

Since the beginning of the 21 st century, continuous high temperature, ocean storms and long-term drought have happened frequently. These natural disasters caused by abnormal weather phenomena have brought a lot of Human casualties and economic losses. Scholars generally believe that today’s global environmental and climate issues are directly related to human activity. How to deal with global warming and frequent natural disasters are problems faced by the common needs of all mankind. Carbon, as one of nature’s most basic elements, their mobility chain is crucial clue in discovering ecosystem material recycling and energy cycle. Carbon migration between the various spheres of the Earth and the consequent flow of energy is known as the global carbon cycle. The global carbon cycle is the core of the global climate change research. The global carbon cycle consists of atmosphere, oceans, terrestrial ecosystems, and several other major carbon pools. Terrestrial ecosystems are interfered by human activity most strongly. Soil carbon pool is an important part of terrestrial carbon pools. The research of carbon cycle between atmospheric carbon pool and soil carbon pool is very important.Soil respiration process is the key ecological processes which emissions CO2 from soil carbon pool to the atmosphere carbon pool. It mainly consists of soil microbial respiration, root respiration and heterotrophic animals breathe three parts. As a complex ecological process, it not only affected by environmental factors like soil temperature, humidity, temperature, rainfall, but also affected by biological factors like vegetation, microorganisms, and land use patterns. And the role of human activity is increasing. Due to soil carbon flux strong spatial heterogeneity, it can not be accurately estimated by random sampling on the field. While a wide range of multi-point sampling requires a lot of manpower and equipment costs, it is very important to determine the appropriate number and the distribution of sampling points for soil carbon flux monitoring area.We propose a fine-scale soil carbon flux spatial sampling strategy based on moisture distribution characteristics(SMTC). First, measure the soil moisture data areas with sensors network, then divide area according to its spatial correlation, calculate the optimal number of sub-region with Hammond McCullagh equation, deploy sampling points based on on the principle of maximum coverage, finally determine the sampling strategy throughout the monitoring area. Since the method considers the differences between the various sub-regional, it makes a better correlation between location of sampling point and distribution of flux. Experiments show the proposed deployment strategy can obtain higher soil carbon flux region estimation accuracy than randomly sample and uniform sample.