Quantitative Approach of Soil Prediction using Environment Factors in Jeju Island

Abstract

Parent material, climate, topography, biological factors, and time are considered five soil forming factors. This study was conducted to elucidate the effects of several environment factors on soil distribution using quantitative analysis method, called soil series estimation algorithm in the soils of Jeju Island. We selected environment factors including mean temperature, annual precipitation, surface geology, altitude, slope, aspect, altitude difference within 1 km 2 area, topographic wetness index, distance from the shore, distance from the mountain peak, and landuse for a quantitative analysis. We analyzed the ranges of environment factors for each soil series and calculated probabilities of possible-soil series for certain locations using estimation algorithm. The algorithm can predicted exact soil series on the soil map with correctness of 33% on 1 st ranking, 62% within 2 nd ranking, 74% within 5 th ranking after estimating using randomly extracted environment factors. In predicted soil map, soil sequences of Entisols-Alfisols-Andisols on northern area and Alfisols-Ultisols-Andisols on western area can be suggested along increasing altitude. More modeling studies will be needed for the genesis process of soils in Jeju Island.

Status of Pesticide Usage on Golf Courses in Korea and Optimal Pesticide Usage Plan

“…The largest quantity of pesticide used in a golf course was 30.34 kg ha −1 , and there was one golf course that used no chemical pesticides in the eastside. Moon et al [30] identified the distributions of soil orders and great groups and relations with the temperature, precipitation, surface geology, altitude above the sea level, gradient, slope aspect, distance to the seashore, and other environmental factors of Jeju Island, constructing a soil map with soil order and great group. Because of its geographical features, Jeju Island shows varied climate characteristics based on the bearing and altitude.…”

Assessing Climate Change Impact on Cropland Suitability in Kyrgyzstan: Where Are Potential High-Quality Cropland and the Way to the Future

“…The ELUs were obtained from global ecosystem data in the United States Geological Survey (https://www.usgs.gov (accessed on 30 June 2020)) developed by Sayrem R in 2014; it presents distinct bioclimates, landforms, lithologies, and land covers, and it has been widely used in several studies for the purposes of classifying ecosystem regions [33,34], determining vegetation patterns [35,36], and establishing a national ecological framework [37]. As edaphic factors, slope, and TWI have been used in previous studies for predicting soil types [38,39]. Furthermore, ELUs were used to restrictively reflect the soil moisture data for the model due to the lack of high-resolution soil moisture data in the target country.…”