A framework to quantitatively assess the influence of land use and land cover on coastal wetland hydrological connectivity from a landscape resistance perspective.

Land use and land cover (LULC) change is one of the dominant factors contributing to coastal wetland degradation and loss. Most studies focused on LULC changes or whether they influenced on ecosystems. However, few studies quantitatively assessed the impact of different LULCs on hydrological connectivity.

Rare earth elements in the upland soils of northern China: Spatial variation, relationships, and risk assessment.

While global demand for rare earth elements (REEs) is rapidly growing, recent studies have suggested that REEs are pollutants of emerging concern. In this study, the spatial distribution and risk assessments of REEs in the upland soils of northern China were comprehensively investigated. The total REE concentrations ranged from 81 to 180 mg/kg, with average concentrations of 123, 128, and 98.

Diffuse phthalate acid esters losses induced from large amount of agricultural plastic film residues caused low risks for water quality in China during 1991-2017.

Extensive application of agricultural plastic films has resulted in abundant film residues in farmlands. Phthalate acid esters (PAEs) are vital additives of the agricultural plastic film and are easily emitted into soils. However, spatio-temporal variations of diffuse PAEs loss to water bodies have not been explored in China.

Presence, sources, and risk assessment of heavy metals in the upland soils of northern China using Monte Carlo simulation.

The spatial dynamics of heavy metal contamination in the upland soils of northern China are relatively unknown, despite the region's high contribution to the national grain output. In this study, the concentrations of As, Cd, Co, Cr, Cu, Mn, Pb, Sb, Sc, Ti, and Zn and subsequent ecological and human health risks were investigated in three major grain producing areas (Hexi Corridor, L1; Hetao irrigation area, L2; and eastern Inner Mongolia, L3) of northern China. Among the heavy metals, Ti had the highest average concentration of 3.

Investment in science can mitigate the negative impacts of land use on declining primate populations.

Changes in land use and the conversion of natural forests to agricultural fields and cattle pastures are threatening the survival of many species of wild animals, including nonhuman primates. Given its almost 1.4 billion people, China faces a difficult challenge in balancing economic development, human well-being, environmental protection, and animal conservation.

Ammonia volatilization modeling optimization for rice watersheds under climatic differences.

The ammonia (NH) volatilization mechanism is complicated with pronounced watershed differences of climate conditions, soil properties, and tillage practices. The watershed NH emission dynamics model was developed with the combination of field measurements, Soil Water Assessment Tool and NH volatilization algorithms. The temporal NH emissions patterns and the watershed NH volatilization dynamics were simulated with the improved NH volatilization modeling.

Considering atmospheric NO dynamic in SWAT model avoids the overestimation of NO emissions in river networks.

Modeling studies have focused on NO emissions in temperate rivers under static atmospheric NO (NO), with cold temperate river networks under dynamic NO receiving less attention. To address this knowledge and methodological gap, the dissolved NO concentration (NO) and NO algorithms were integrated with an air-water gas exchange model (F) into the SWAT (Soil and Water Assessment Tool). This new model (SWAT-F) allows users to simulate daily riverine NO emissions under dynamic atmospheric NO.