Spatiotemporal patterns of ecological condition under water-salt stress in the yellow river delta: an improved remote sensing ecological index approach

IF 3.3 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Xiaokang Du, Shentang Dou, Guangzhou Wang, Feihe Kong, Weiqi Dai, Chao Zhu, Shaohua Zhang, Yaoshen Fan
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Abstract

Accurately assessing ecological condition is crucial for ecosystem conservation. The Remote Sensing Ecological Index (RSEI), which incorporates soil moisture (WET), was widely used to assess regional ecological condition. However, in coastal wetlands, the performance of the WET index is often undermined due to high soil salinity caused by seawater intrusion. Therefore, a Water-Salt Stress (WSS) index was developed by integrating WET and salinity (SI) to quantify the combined water-salt stress on vegetation. Replacing WET with WSS, an improved index, Water-Salt Stress Remote Sensing Ecological Index (WSRSEI), was established for ecological condition assessment. Results show higher WSS (> 0.7) in tide-influenced coastal areas and lower WSS (< 0.4) near inland channels. In high-WSS zones, WSRSEI was significantly lower than RSEI. Independent field validation demonstrate that WSRSEI significantly outperforms RSEI in capturing actual vegetation conditions. Long-term analysis (1985–2025) revealed a slight overall decline in the delta's WSRSEI (from 0.631 to 0.621). Ecological condition improved in the Qingshuigou Nature Reserve (QSGNR) (WSRSEI: 0.565 to 0.627) due to sediment input and post-2008 ecological water supplementation, but declined in the Diaokou River Nature Reserve (DKRNR) (0.621 to 0.554) due to coastal erosion and saltwater intrusion. Engineering structures such as levees and farm dikes effectively mitigated seawater intrusion. Since 1985, the expansion of aquaculture ponds, bare land, and built-up areas has been a major factor in the overall decline of ecological condition. This study provides a refined methodological framework for coastal ecological condition assessment.

黄河三角洲水盐胁迫下生态状况时空格局:一种改进的遥感生态指数方法
准确评估生态状况对生态系统保护至关重要。遥感生态指数(RSEI)被广泛用于评价区域生态状况,其中包括土壤湿度(WET)。然而,在滨海湿地,海水入侵导致的高土壤盐分往往会破坏湿地湿地指数的性能。因此,通过综合WET和盐度(SI),建立了水盐胁迫(WSS)指数,以量化水盐复合胁迫对植被的影响。以WSS代替WET,建立了改进的水盐胁迫遥感生态指数(WSRSEI)。结果表明,受潮汐影响的沿海地区WSS较高(> 0.7),靠近内陆河道的WSS较低(< 0.4)。在高wss区,WSRSEI显著低于RSEI。独立的野外验证表明,WSRSEI在捕获实际植被条件方面明显优于RSEI。长期分析(1985-2025)显示三角洲WSRSEI总体上略有下降(从0.631降至0.621)。清水沟自然保护区(QSGNR)由于泥沙输入和2008年后的生态补水,生态条件有所改善(WSRSEI: 0.565 ~ 0.627),而鸟口河自然保护区(DKRNR)由于海岸侵蚀和海水入侵,生态条件下降(0.621 ~ 0.554)。堤防和农田堤防等工程结构有效地缓解了海水入侵。自1985年以来,养殖场、裸地和建成区的扩大是生态状况总体下降的主要因素。本研究为沿海生态状况评估提供了一个完善的方法框架。
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来源期刊
Environmental Earth Sciences
Environmental Earth Sciences 环境科学-地球科学综合
CiteScore
5.10
自引率
3.60%
发文量
494
审稿时长
8.3 months
期刊介绍: Environmental Earth Sciences is an international multidisciplinary journal concerned with all aspects of interaction between humans, natural resources, ecosystems, special climates or unique geographic zones, and the earth: Water and soil contamination caused by waste management and disposal practices Environmental problems associated with transportation by land, air, or water Geological processes that may impact biosystems or humans Man-made or naturally occurring geological or hydrological hazards Environmental problems associated with the recovery of materials from the earth Environmental problems caused by extraction of minerals, coal, and ores, as well as oil and gas, water and alternative energy sources Environmental impacts of exploration and recultivation – Environmental impacts of hazardous materials Management of environmental data and information in data banks and information systems Dissemination of knowledge on techniques, methods, approaches and experiences to improve and remediate the environment In pursuit of these topics, the geoscientific disciplines are invited to contribute their knowledge and experience. Major disciplines include: hydrogeology, hydrochemistry, geochemistry, geophysics, engineering geology, remediation science, natural resources management, environmental climatology and biota, environmental geography, soil science and geomicrobiology.
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