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Accurate prediction of the spatial distribution of soil organic matter (SOM) is crucial for improving the productivity of arable land, developing modern precision agriculture, regulating soil carbon balance, and protecting the ecological environment. Previous research has analyzed the horizontal spatial distribution characteristics and influencing factors of SOM in different regions. Still, few studies have examined the spatial distribution of SOM and its drivers from a vertical perspective. Taking the Yihe River Basin, a typical area in the northern soil and rocky mountain region, as the key research area, the random forest model was used to predict the spatial distribution of SOM content in the basin and to reveal the controlling factors affecting the differences in the spatial distribution of SOM. The results showed that: ① The coefficients of determination of the four constructed random forest models for predicting soil depth SOM were 0.761, 0.651, 0.672, and 0.727, respectively, and the fitting accuracies reached greater than 0.650, with a high accuracy in predicting the spatial distribution of SOM in the catchment. ② The spatial distribution of SOM content in the River Basin was characterized by a vertical decrease, with the average values of (SOM) in the 0-10, 10-20, 20-30, and 30-40 cm soil layers being 18.62, 12.71, 9.30, and 7.14 g·kg, respectively, which belonged to the fourth and fifth classes. The SOM content in different soil layers showed the spatial pattern of high in the east and north and low in the west and southwest. ③ Natural environmental factors, especially soil property factors, were the main controlling factors affecting the spatial variation of SOM in the River Basin, with total nitrogen (TN) having the greatest influence on the spatial distribution of SOM. Human activities have intensified the differentiation of SOM spatial distribution, with a trend of forest land (15.92 g·kg)>grassland (15.81 g·kg)>orchard (12.42 g·kg)>cultivated land (12.21 g·kg) for (SOM). The study's results can provide scientific references for the rational use of land resources and the improvement of soil quality in northern China's soil and rocky mountain areas.
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http://dx.doi.org/10.13227/j.hjkx.202405224 | DOI Listing |
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Henan Engineering Laboratory of Pest Biological Control/College of Plant Protection, Henan Agricultural University, Zhengzhou 450046, People's Republic of China.
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Faculty of Forestry, Karadeniz Technical University, 61080, Trabzon, Turkiye. Electronic address:
The spatial prediction of edible fungi is essential for the conservation and sustainable use of non-wood forest products (NWFPs) and contributes to the understanding of fungal biodiversity in forest ecosystems. This study compares multiple species distribution modeling (SDM) techniques to predict the spatial distribution of Lactarius deliciosus (L.) Gray in the Refahiye and Tekçam Forest Planning Units (FPUs) in Türkiye.
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School of Life Sciences, Nanjing Normal University, Nanjing, 210023, Jiangsu Province, China. Electronic address:
Urban green areas are vital yet underexplored reservoirs of microbial diversity in cities. This study examines myxomycete communities in Zijin Mountain National Forest Park, a subtropical urban forest in Nanjing, China, across four seasons and multiple forest types. Combining field collections and moist chamber cultures, we documented 60 species from 906 occurrence records.
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Key Laboratory of Biodiversity and Environment on the Qinghai-Tibet Plateau, Ministry of Education, Xizang University, Lhasa 850000, China; School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China. Electronic address:
Glacial lakes play a vital role as indicators of global climate change and regional environmental responses. Eukaryotic planktonic microorganisms, pivotal in driving biogeochemical cycling of nutrients within these ecosystems, are crucial for preserving stability and ecological function of glacial lake environments. Nevertheless, the spatial and temporal dynamics, along with the mechanisms responsible for sustaining eukaryotic planktonic microbial communities in glacial lakes, especially during the glacier retreat and lake formation, are still largely uncharted.
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Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China; Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education,
Simultaneous measurements of dimethylsulfide (DMS) and isoprene in seawater and the overlying atmosphere were conducted in the tropical western Pacific Ocean during February-March 2017. Surface seawater exhibited a strong correlation between DMS and dimethylsulfoniopropionate (DMSP), with similar spatial distributions, whereas dimethylsulfoxide (DMSO) displayed an opposing trend. Latitudinal and vertical profiles of DMS, DMSP, and isoprene revealed their pronounced dependence on biological factors, particularly in subsurface layers.
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