Resources and Environment in the Yangtze Basin
Resources and Environment in the Yangtze Basin (issn: 10048227) is a scopus indexed journal since 1996 upto now. This journal is sponsored by Bureau of Science and Technology for Resources and Environment of Chinese Academy of Sciences (CAS) and the Wuhan Documentation and Information Center of CAS and published by Science Press. It is committed to publishing high-quality, original research on the all topics of environmental science and environmental engineering.
Aim and Scope
Resources and Environment in the Yangtze Basin (ISSN: 10048227)
- is a peer-reviewed journal. The journal seeks to publish original research articles that are hypothetical and theoretical in its nature and that provide exploratory insights in the following fields but not limited to:Environmental Science,
Environmental Engineering,
Nature and Landscape Conservation,
Water Science, resource and Technology,
Ecology, Management, Monitoring, Policy and Law.
Submission Deadline
Volume -
41
, Issue
01
20 Sep 2025
Volume -
not available
, Issue
not available
00:00:00
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Latest Journals
Resources and Environment in the Yangtze Basin
Spatial and Temporal Distribution and Influencing Factors of Four Major Chinese Carps Larvae Fish Resources in Lower Reaches of Yangtze River
Hydrodynamic characteristics of spawning grounds are important factors affecting the spawning of four major Chinese carps (Mylopharyngodon piceus, Ctenopharyngodon idella, Hypophthalmichthys molitrix, and Aristichthys nobilis). To investigate the relationship between the preferred hydrodynamic characteristics of spawning sites and the response of fish spawning behavior, we monitored the flow field of spawning sites during ecological operation of the Three Gorges Dam (i.e., man-made flood regulation) in 2014 and 2015. We used the data to explore the correlation between vort
Network Characteristics and Influencing Factors of Spatial Correlation of Carbon Emissions in China
Railway carbon emissions reduction is of great significance. In this study, carbon emission efficiency in railway transportation in China’s 31 provinces is measured for 2006–2019 based on an unexpected output slack-based measure (SBM) model. A gravity matrix of the spatial correlation network for carbon emission efficiency is constructed using the modified gravity model, the spatial network structure is explored using social network analysis, and the factors influencing the spatial network are analyzed using the quadratic assignment procedure (QAP) model. Based on the results, s
Remote Sensing Assessment of the Water Conservation Function of Ecological System in Dabieshan Mountain Area of Hubei Province
Water conservation is an essential indicator of the hydrological regulation capacity of terrestrial ecosystems. At the regional scale, the water conservation capacity of an ecosystem is typically assessed using the water balance model (WBM). However, the estimation of the runoff depth relies heavily on rainfall data and the ecosystem runoff coefficient look-up table, which introduces uncertainties in the assessment results. To address this issue, this study constructed a new method for quantifying the spatiotemporal distribution pattern of runoff depth based on the ecosystem type and region
Remote Sensing Monitoring of Suspended Solids Concentration in the Three Gorges Reservoir Area Based on Multi-source Satellite Data
Accurate and quantitative assessment of the impact of natural environmental changes and human activities on total suspended solids (TSS) concentration is one of the important components of water environment protection. Due to the limits of traditional cross-sectional point monitoring, a novel water quality evaluation method based on the Markov model and remote sensing retrieval is proposed to realize the innovation of large-scale spatial monitoring across administrative boundaries. Additionally, to explore the spatiotemporal characteristics and driving factors of TSS, a new three-band remot
Spatial Distribution Pattern and Driving Factors of Nematode-trapping Fungi in Jinsha River Basin
Maintaining the effects of nematode-trapping fungi (NTF) agents in order to control plant-parasitic nematodes (PPNs) in different ecological environments has been a major challenge in biological control applications. To achieve such an objective, it is important to understand how populations of the biocontrol agent NTF are geographically and ecologically structured. A previous study reported evidence for ecological adaptation in the model NTF species Arthrobotrys oligospora. However, their large-scale geographic structure, patterns of gene flow, their potential phenotypic diversification, a