Wenjiao Shi

• Dr.
• Professor at Chinese Academy of Sciences

Large sample sizes are crucial for accurately capturing spatial changes in soil properties by spatial interpolation methods. However, soil bulk density (BD) data in historical datasets is often incomplete, and it’s uncertain if filled values enhance spatial interpolation accuracy. Using 2,883 cropland soil BD samples from the Sichuan Basin in China...

Accurately quantifying agricultural water use is essential for protecting agricultural systems from the risk of water scarcity and promoting sustainable water management. While previous studies have innovatively provided spatially explicit analyses or datasets, they tend to have relatively coarse resolution (~8.3 km), and inadequately considered pr...

In the context of achieving global carbon neutrality, forests play a pivotal role in sequestering atmospheric CO2, particularly in China, where forest management is central to national climate strategies. This study evaluates the forest carbon sink capacity in Zixi County, a subtropical region, under varying climate scenarios (SSP2-4.5 and SSP5-8.5...

Understanding the temporal dynamics of soil microbial biomass is crucial for assessing soil ecosystem functions and services, yet these dynamics are globally uncertain. Here, we compiled a data set of soil microbial biomass carbon (MBC) and nitrogen (MBN) from 1493 studies between 1988 and 2019 to elucidate their temporal trends and potential drive...

Nitrogen (N) fertilizer is essential for agricultural production as it is the main nutrient driving crop growth. However, in China, only one-third of applied N fertilizer is effectively absorbed by crops, while the rest leads to significant environmental impacts. In this study, we introduced a nitrogen threshold boundary (NTB) approach to establish...

Soil organic carbon (SOC) plays a vital role in the global carbon cycle and soil quality assessment. The Qinghai–Tibet Plateau is one of the largest plateaus in the world. Therefore, in this region, SOC density and the spatial distribution of SOC are highly sensitive to climate change and human intervention. Given the insufficient understanding of...

The Huang-Huai-Hai region accounts for 80% of China’s wheat production, leading to severe groundwater depletion and substantial environmental impacts. Here we present an optimization framework for wheat redistribution to reduce both water requirements and environmental impacts without compromising production. Our results show that environmental foo...

Digital maps, serving as pivotal instruments in the realm of geographic information services, adeptly encapsulate spatial data through refined graphics and symbols. Widely used across various domains such as smart devices, in-vehicle navigation systems, unmanned aerial vehicles (UAV), electronic gaming, and virtual reality, these maps face the ongo...

Accurate estimates of soil organic carbon (SOC) stocks are important in understanding terrestrial carbon cycling. Based on the fundamental theorem of surfaces, an alternative method, high accuracy surface modelling (HASM) combined with soil depth information was applied to predict the spatial pattern of SOC stocks in Hebei Province, China. In this...

The mechanization of livestock and poultry breeding is important to reduce the labor intensity and cost of livestock and poultry breeding, improve labor productivity, and promote the development of livestock and poultry breeding. However, limited studies have assessed the mechanization level of livestock and poultry breeding and identified its adva...

Quantifying potential reductions in environmental impacts for multi-crop agricultural production is important for the development of environmentally friendly agricultural systems. To analyze the spatial differences in the potential reduction in nitrogen (N) use, we provided a framework that comprehensively assesses the potential of improving N use...

Changes in vegetation net primary productivity (NPP) are primarily influenced by climate change and human activities, but understanding the dominant factors and their contributions at different time stages remains unclear. Here, we developed a method to quantify the relative contributions of climate and human factors to vegetation NPP in China over...

Meeting the increasing food demand in a manner that ensures both resources and environmental sustainability poses a global challenge. The conceptual framework of planetary boundaries (PBs) has emerged as a crucial reference in the study of sustainable food system, with specific focuses on key dimensions such as land use change, freshwater use, nitr...

Remote sensing indices are widely used in various fields of geoscience research. However, there are limits to how effectively the knowledge of indices can be managed or analyzed. One of the main problems is the lack of ontology models and research on indices, which makes it difficult to acquire and update knowledge in this area. Additionally, there...

The optimization of the spatial layout of animal husbandry has great significance for the sustainable development of animal husbandry. However, limited research has focused on the optimization of the spatial layout of animal husbandry based on comprehensive competitive advantage evaluation and nutrient balance between planting and breeding. This st...

Mapping of soil particle-size fractions (PSFs) combined with log-ratio transformation has been widely employed, particularly for isometric log-ratio (ILR). Regression kriging (RK), as a hybrid interpolator, represents a method to enhance prediction accuracy. However, different choices of ILR balance yield distinct transformed data. It remains uncle...

Livestock farms produce a large amount of livestock manure, which, if not disposed of properly, will become an environmental pollution source. However, limited research has been conducted on identifying livestock farms with a potential risk of environmental pollution. In this study, a model for returning livestock manure to cultivated land was cons...

The miniaturization of transistors led to advances in computers mainly to speed up their computation. Such miniaturization has approached its fundamental limits. However, many practices require better computational resources than the capabilities of existing computers. Fortunately, the development of quantum computing brings light to solve this pro...

Geographic registration (geo-registration) is a crucial foundation for augmented reality (AR) map applications. However, existing methods encounter difficulties in aligning spatial data with the ground surface in complex outdoor scenarios. These challenges make it difficult to accurately estimate the geographic north orientation. Consequently, the...

Soil particle-size fractions (PSFs), including three components of sand, silt, and clay, are very improtant for the simulation of land-surface process and the evaluation of ecosystem services. Accurate spatial prediction of soil PSFs can help better understand the simulation processes of these models. Because soil PSFs are compositional data, there...

In the past decades, the greenhouse gas (GHG) emissions from pig production in China have been increasing rapidly, which has become a huge challenge in fulfilling China's "carbon neutral" commitment. However, few studies have focused on reducing the GHG emissions from pig production in view of households' pork consumption. This study analyzed the t...

Biogas produced from agricultural waste can have potential benefits, such as offer clean renewable energy, protect the ecological environment, and reduce CO2 emission. However, few studies have been conducted on the biogas potential from agricultural waste and its CO2 emission reduction at the county level. Herein, the biogas potential from agricul...

Systematic evaluation of nitrogen (N) application in multi-crop production and its environmental impacts are of great significance for sustainable development of agriculture. Previous studies have focused on the evaluation of grain crops at the national and provincial levels, but ignored the county scale. Here, we evaluated the N rate, N use effici...

Climate change and its impacts on agricultural production and food security are a significant source of public concern around the world. In order to reduce the negative impacts of climate change on agriculture, maintain crop production levels, and even discover opportunities in agricultural intensification, researchers have made great efforts to as...

Plain Language Summary Forest ecosystem plays a vital role in the earth's hydrological process, and water storage capacity of forest ecosystems related to water regulation service (WSCFE) is of vital importance for human well‐being. Water can be intercepted by forest canopy, be held by litter, and be stored in soils, which accounts for more than a...

The North China Plain (NCP) has the largest groundwater depletion in the world, and it is also the major production area of winter wheat in China. For sustainable food production and sustainable use of irrigated groundwater, it is necessary to optimize the irrigation amount for winter wheat in the NCP. Previous studies on the optimal irrigation amo...

Soil organic carbon (SOC) is vital to the assessment of land quality, management of farmland and ecological environment, and carbon cycle. A more accurate spatial prediction of multilayer soil organic carbon density (SOCD) can contribute to a better interpretation of the changes in multilayer SOC stocks and carbon dynamics. However, previous mappin...

China’s double carbon initiative faces huge challenges, and understanding the carbon sequestration service of terrestrial ecosystems under future interannual regional land use change is important to respond to China’s carbon policy effectively. Previous studies have recognized the important impact of land use/land cover (LULC) planning on carbon se...

Cropland soils are considered to have the potential to sequester carbon (C). Warming can increase soil organic C (SOC) by enhancing primary production, but it can also cause carbon release from soils. However, the role of warming in governing cropland SOC dynamics over broad geographic scales remains poorly understood. Using over 4000 soil samples...

Increasingly complex vector map applications and growing multi-source spatial data pose a serious challenge to the accuracy and efficiency of vector map visualization. It is true especially for real-time and dynamic scene visualization in mobile augmented reality, with the dramatic development of spatial data sensing and the emergence of AR-GIS. Su...

Forecasting the relation between grain supply and demand can help prevent potential food risk and realize sustainable agriculture development on the Tibetan Plateau (TP), which is an ecological security barrier for China. However, the patterns of future grain self-sufficiency at the county scale on the TP under different scenarios have been little...

Maximizing resource use efficiency is generally recognized as a key strategy for developing an environment-friendly agricultural system. Although there have been many studies on single topic of resource use efficiency or environmental impacts, little is known about the spatially-explicit comprehensive estimation of the potentials in resource use ef...

As the starting point of addressing the issue of “agriculture, rural areas, and farmers” for a new era, a rural revitalization strategy is necessary and suits the realistic demand for high-quality development. At present, agro-pastoral ecotone in China is facing a series of ecological degradation and environmental pollution problems. The measuremen...

Lucid waters and lush mountains are invaluable assets. The countryside is an important carrier of these assets, and rural revitalization is a national strategy to meet the needs of the people. This study constructs the framework system for improving the efficiency of resource utilization, refining the effect of urban–rural integration, and optimizi...

In this paper, we selected the northeast region as a study area from the perspective of soil nutrient demand, calculated the livestock carrying capacity of farmland under three scenarios where nitrogen nutrient accounts for 35% (low level), 45% (medium level), and 55% (high level) of fertilization, and carried out a risk analysis. The results show...

The health risks of fine particulate matter (PM2.5) and ambient ozone (O3) have been widely recognized in recent years. An accurate estimate of PM2.5 and O3 exposures is important for supporting health risk analysis and environmental policy-making. The aim of our study was to construct random forest models with high-performance and estimate daily a...

Biogas production from agricultural waste has played a key role in recent years in reducing the environmental pollution risk of agricultural waste and alleviating energy shortage in rural China. However, few studies have focused on the effect of ground temperature on biogas production from agricultural waste from a quantitative point of view and th...

Climate change is a global environmental crisis, but there have been few studies of the effects of climate change on cereal yields on the Tibetan Plateau. We used data from meteorological stations and statistical yearbooks to assess the impacts of climate change on cereal yields in Tibet. Three types of statistical models were selected: fixed-effec...

This paper explores the impacts of the evolution of the dietary structure of the population on national food security using the food self-sufficiency rate under various statistical dimensions and simulate various food security scenarios for China in the medium- and long-term future. This study indicates that China’s rapid economic and social develo...

Hydrological models or remote sensing methods are often used to estimate water retention amounts and to analyze large spatial variations in water retention across large scales. However, the accuracies of hydrological models and remote sensing data are far lower than those of site-observational data. Here, we used 1045 observational sites of forest...

Producing biogas from agricultural waste by using a household biogas digester has a critical role in increasing energy supply and reducing greenhouse gas emissions in rural areas. However, only a few studies have analyzed the type of animal husbandry and planting that influence household biogas. This paper analyzes the spatial-temporal distribution...

The health risks of fine particulate matter (PM2.5) and ambient ozone (O3) have been widely recognized in recent years. An accurate estimate of PM2.5 and O3 exposures is important for supporting health risk analysis and environmental policy-making. The aim of our study was to construct random forest models with high-performance, and estimate daily...

Digital soil mapping of soil particle-size fractions (PSFs) using log-ratio methods is a widely used technique. As a hybrid interpolator, regression kriging (RK) provides a way to improve prediction accuracy. However, there have been few comparisons with other techniques when RK is applied for compositional data, and it is not known if its performa...

Introduction and Objectives Dexmedetomidine is a highly selective alpha-2 adrenoceptor agonist that has sedative and analgesic properties and myocardial protective effects. However, the mechanism underlying the protective effect of dexmedetomidine on cardiomyocytes remains unknown. This study mainly aimed to investigate the effects of dexmedetomidi...

Forest ecosystems play a vital role in the earth’s hydrological process, and precipitation intercepted by forests accounts for more than a quarter of the water in the terrestrial hydrologic cycle. However, water retention in the three layers (canopy, litter, and soil) of forest ecosystems has not yet been thoroughly investigated on a global scale....

Introduction and Objectives Dexmedetomidine is a highly selective alpha-2 adrenoceptor agonist that has sedative and analgesic properties and myocardial protective effects. However, the mechanism underlying the protective effect of dexmedetomidine on cardiomyocytes remains unknown. This study mainly aimed to investigate the effects of dexmedetomidi...

Ambient ozone (O3) concentrations have shown an upward trend in China and its health hazards have also been recognized in recent years. High-resolution exposure data based on statistical models are needed. Our study aimed to build high-performance random forest (RF) models based on training data from 2013 to 2017 in the Beijing-Tianjin-Hebei region...

Water retention is important in forest ecosystem services. The heterogeneity analysis of water-retention capacity and its influencing factors is of great significance for the construction of water-retention functional areas, restoration of vegetation, and the protection of forest ecosystems in the Beijing-Tianjin-Hebei region. A total of 1366 recor...

High cost and low milk yield per dairy cow are current problems mainly faced by dairy farms in China. Thus, optimizing the regional layout and integrating the advantages to enhance the competitiveness of dairy farming in China is necessary. However, existing studies on comparative advantage analysis of dairy breeding have a relatively single perspe...

At present, processing substantial livestock excreta produced by numerous concentrated small–middle-type livestock farms (SMLFs) has been a major problem of livestock farm owners and government departments. To solve this problem, this study established a suitability evaluation system for the spatial layout of a centralized treatment center of lives...

Capacity for grain self-sufficiency on the Tibetan Plateau (TP) is an important basis for ensuring social stability and regional sustainability. Thus, based on county-level statistical data for population, grain production and consumption, we analyzed patterns and trends in grain supply and demand at regional, provincial, and county levels on the T...

Background: Visceral adipose tissue (VAT) is the main source of circulating fatty acids (FAs) that provides the energy substrate for the heart. Till now, studies have not shown a clear association between individual circulating FAs and heart failure (HF). In this study, we aimed to investigate the changes in circulating FAs in HF mice and their ass...

Visceral adipose tissue (VAT) is the main source of circulating fatty acids (FAs) that provides the energy substrate for the heart. Till now, studies have not shown a clear association between individual circulating FAs and heart failure (HF). In this study, we aimed to investigate the changes in circulating FAs in HF mice and their association wit...

Visceral adipose tissue (VAT) is the main source of circulating fatty acids (FAs) that provides the energy substrate for the heart. Till now, studies have not shown a clear association between individual circulating FAs and heart failure (HF). In this study, we aimed to investigate the changes in circulating FAs in HF mice and their association wit...

Digital soil mapping of soil particle-size fractions (PSFs) using log-ratio methods has been widely used. As a hybrid interpolator, regression kriging (RK) is an alternative way to improve prediction accuracy. However, there is still a lack of systematic comparison and recommendation when RK was applied for compositional data. Whether performance b...

The cover image is based on the Research Article Comprehensive benefits evaluation and its spatial simulation for well‐facilitated farmland projects in the Huang‐Huai‐Hai Region of China by Xiaoqing Wang et al., https://doi.org/10.1002/ldr.3566

In recent decades, climate disasters, especially droughts and floods, have disrupted food production and caused yield losses. Most of crop models cannot identify quantitative changes of crop yield and production caused by climate disasters directly, and empirical approaches possibly underestimate the effects due to the use of the entire world or an...

Soil texture and soil particle size fractions (PSFs) play an increasing role in physical, chemical, and hydrological processes. Many previous studies have used machine-learning and log-ratio transformation methods for soil texture classification and soil PSF interpolation to improve the prediction accuracy. However, few reports have systematically...

We propose a fundamental theorem for eco-environmental surface modelling (FTEEM) in order to apply it into the fields of ecology and environmental science more easily after the fundamental theorem for Earth’s surface system modeling (FTESM). The Beijing-Tianjin-Hebei (BTH) region is taken as a case area to conduct empirical studies of algorithms fo...

Digital soil mapping approaches relating to the soil particle size fractions (psf) face the challenge around how to establish the statistical or geostatistical models from large sets of environmental variables, especially in a situation with sparse soil profile data. Recently, many machine learning (ML) models have sprung up with advantages over st...

The estimation of forest water retention based on observation and experimental data can be used to accurately analyze large variations in the spatial distributions of the water retention capacity across China and explore factors affecting these large spatial variations at different scales. Therefore, we reviewed the relevant peer-reviewed literatur...

The construction of well‐facilitated farmland in recent years has played a key role in addressing the issues of land fragmentation and food security in China. However, few researches focused on the spatially explicit simulation of comprehensive benefit levels (CBL) of well‐facilitated farmland projects in each grid. Here, we analyzed the CBL of wel...

Abstract. Soil texture and soil particle size fractions (PSFs) play an increasing role in physical, chemical and hydrological processes. Many previous studies have used machine-learning and log ratio transformation methods for soil texture classification and soil PSFs interpolation to improve the prediction accuracy. However, few reports systematic...

Soil texture and soil particle size fractions (psf) play an increasing role in physical, chemical and hydrological processes. Digital soil mapping using machine-learning methods was widely applied to generate more detailed prediction of qualitative or quantitative outputs than traditional soil-mapping methods in soil science. As compositional data,...

The study area is located in the middle part of Jiangxi Province, China, and cover 6156.92 km\(^{2}\). It includes the Ji’an municipal district, Ji’an county and Taihe county. It is a typical red soil hilly region of South China. Respectively, the precipitation in the counties is 1458, 1438 and 1381 mm per annum and the mean annual temperature is 1...

Mapping soil particle-size fractions (psf) plays an important role in regional hydrological, ecological, geological, agricultural and environmental studies. To map soil compositional data like soil psf, interpolators such as compositional kriging and the combination of log-ratio transformations with ordinary kriging or cokriging were developed. In...

Well-facilitated farmland construction is an important measure to guarantee food security and modern agriculture developing in China. We used 586 copies of questionnaires and selected 11 evaluation indexes for economic, social and ecological benefits to construct comprehensive benefits index system. Then we used the entropy weight method to determi...

A suitable method and appropriate environmental variables are important for accurately predicting heavy metal distribution in soils. However, the classical methods (e.g., ordinary kriging (OK)) have a smoothing effect that results in a tendency to neglect local variability, and the commonly used environmental variables (e.g., terrain factors) are i...

The quantitative effect of climate change on fragile regions has been a hot topic in the field of responses to climate change. Previous studies have qualitatively documented the impacts of climate change on boundary shifts in the farming-pastoral ecotone (FPE); however, the quantitative methods for detecting climate contributions remain relatively...

Response and feedback of land surface process to climate change is one of the research priorities in the field of geoscience. The current study paid more attention to the impacts of global change on land surface process, but the feedback of land surface process to climate change has been poorly understood. It is becoming more and more meaningful un...

A spatial distribution model of livestock manure nutrient was used to study the spatial distribution of livestock manure and livestock manure nitrogen load on farmland (LMNLF) at a patch scale. The spatial distribution of livestock and poultry farm (LPF) was also evaluated. The results showed that most regions (50.68%) in the town of Shangjie were...

To avoid the environmental pollution caused by livestock manure and provide rational layout of livestock farm, we estimated the livestock manure phosphorus load by the excretion coefficient method and have developed a livestock manure nutrient distribution model. The livestock manure phosphorus was distributed to farmlands using this model and spat...

Soil particle-size fractions (psf) as basic physical variables need to be accurately predicted for regional hydrological, ecological, geological, agricultural and environmental studies frequently. Some methods had been proposed to interpolate the spatial distributions of soil psf, but the performance of compositional kriging and different log-ratio...

Detection and attribution are essential to understand the roles of natural and anthropogenic factors in changes of land surface sensitive components such as terrestrial ecosystem, water resources and crop yield. In this chapter, we review the research progress on detection and attribution using the literature statistics and analyses based on 240 in...

Strategic transformation of regionalization for agricultural comprehensive development (ACD) was presented by the Ministry of Finance of the People’s Republic of China (MOF) in 2014. The regionalization is the premise and basis of the sustainable development and improved competitiveness for agriculture. Based on the environmental resources related...

A precise spatial knowledge of potential yield and actual yield is crucial to assessing an increase in grain yield and is relevant to national food security. In this paper, the potential maize yields at the county level in 2013 in Northeast China were estimated using a Miami model in combination with an integrated fertility index and the effect of...

A unique and intensive flux observation matrix was established during May to September of 2012 in an oasis-desert area located in the middle reaches of the Heihe River basin, China. The flux observation matrix included 22 eddy covariance systems belonging to the first thematic experiment of the Heihe Watershed Allied Telemetry Experimental Research...

So far little has been reported on impacts of extremely high temperature on yield of winter wheat. Currently a study was conducted in the Huang-Huai-Hai Plain, a major wheat producing region of the country, using the number of extremely hot days and the number of extreme growing degree days as indicators of extremely high temperature to explore spa...

It is important to study the contributions of climate change and human activities to cropland changes in the fields of both climate change and land use change. Relationships between cropland changes and driving forces were qualitatively studied in most of the previous researches. However, the quantitative assessments of the contributions of climate...

The spatial prediction of soil antibiotic is more difficult than other normal soil properties due to the diverse sources of soil antibiotics. Few studies have attempted to predict soil antibiotic residues in intensive vegetable cultivation areas. High-accuracy surface modeling (HASM) is regarded as an important new technique in the pedometrics and...

Large numbers of livestock and poultry feces are continuously applied into soils in intensive vegetable cultivation areas, and then some veterinary antibiotics are persistent existed in soils and cause health risk. For the spatial heterogeneity of antibiotic residues, developing a suitable technique to interpolate soil antibiotic residues is still...