Random Forest Modeling of Soil Properties in Saline Semi-Arid Areas
نویسندگان
چکیده
The problem of salinization/spreading saline soils is becoming more urgent in many regions the world, especially context climate change. monitoring salt-affected soils’ properties a necessary procedure land management and irrigation planning aimed to obtain high crop harvest reduce degradation processes. In this work, machine learning method was applied for modeling spatial distribution topsoil (0–20 cm) properties—in particular: soil organic carbon (SOC), pH, salt content (dry residue). A random forest (RF) approach used combination with environmental variables predict semi-arid area (Trans-Ural steppe zone). Soil, salinity, texture maps; topography attributes; remote sensing data (RSD) were as predictors. coefficient determination (R2) root mean square error (RMSE) estimate performance RF model. cross-validation result showed that model achieved an R2 0.59 RMSE 0.68 SOM; 0.36 0.65, respectively, pH; 0.78 1.21, respectively dry residue prediction. SOC ranged from 0.8 2.8%, average value 1.9%; pH 5.9 8.4, 7.2; varied greatly 0.04 16.8%, 1.3%. variable importance analysis indicated (salinity indices NDVI) dominant prediction parameters. RSD evaluating their explained by absorption characteristics/reflectivity visible near-infrared spectra. Solonchak are distinguished crust on surface and, result, reduced contents vegetation biomass. However, change non-saline over short distance mosaic structure cover requires high-resolution or aerial images obtained unmanned vehicle/drones successful digital mapping presented results provide effective landscapes further management/reclamation degraded arid regions.
منابع مشابه
Simulation of the catchments hydrological processes in arid, semi-arid and semi-humid areas
Hydrological processes and their spatial distribution directly are relevant to climate, topography, geology, and land use in the watershed. Therefore, use of a model whit integrity and high performance for simulating the process in deferent watersheds is very important. In this study was assessment performance of semi-distributed SWAT model in simulating hydrology processes in three watersheds ...
متن کاملVegetation–soil water interaction within a dynamical ecosystem model of grassland in semi-arid areas
A dynamical ecosystem model with three variables, living biomass, wilted biomass and available soil wetness, is developed to examine the vegetation–soil water interaction in semi-arid areas. The governing equations are based on the mass conservation law. The physical and biophysical processes are formulated with the parameters estimated from observational data. Both numerical results and qualit...
متن کاملA decade of irrigation transforms the soil microbiome of a semi-arid pine forest.
The impact of climate change on the soil microbiome potentially alters the biogeochemical cycle of terrestrial ecosystems. In semi-arid environments, water availability is a major constraint on biogeochemical cycles due to the combination of high summer temperatures and low rainfall. Here, we explored how 10 years of irrigation of a water-limited pine forest in the central European Alps altered...
متن کاملRoadside flora in arid and semi-arid natural areas (Case study: Northern Khorasan province, Iran)
Roads have an important role in plants dispersal on different scales. Various plant species settle on roadsides, but some of them can enter the natural environments and threaten their biodiversity. Worldwide knowledge of roadside flora is necessary for local and global management of natural areas. Accordingly, the roadside flora of Northern Khorasan rangelands was studied along the 600 km ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Agriculture
سال: 2023
ISSN: ['2077-0472']
DOI: https://doi.org/10.3390/agriculture13050976