
Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112663 - 112663
Published: Sept. 26, 2024
Language: Английский
Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112663 - 112663
Published: Sept. 26, 2024
Language: Английский
Ecological Engineering, Journal Year: 2025, Volume and Issue: 215, P. 107614 - 107614
Published: March 27, 2025
Language: Английский
Citations
0Functional Ecology, Journal Year: 2024, Volume and Issue: 38(9), P. 1959 - 1970
Published: July 14, 2024
Abstract The intensification of the global hydrological cycle is anticipated to increase variability precipitation patterns. Brackish wetlands respond changes in patterns by regulating absorption and release CO 2 H O maintain stability ecosystem functions. However, there limited understanding how inter‐seasonal distribution (SPD) affects exchange compared with annual totals. Here, we conducted four consecutive years field experiments a brackish wetland, manipulating proportion across different seasons while maintaining constant total. We utilized five inter‐SPD proportions (+73%, +56%, control (CK), −56%, −73%) examine effects SPD on exchange. Our findings revealed that fluxes showed trend decreasing decrease spring distribution. Among them, net exchange, evapotranspiration, carbon use efficiency water were shown be more sensitive summer autumn This negative asymmetric response pattern suggests primarily governed seasonal variability, soil water–salt dynamics identified as key driver. Therefore, this association can explained fact drought early growth stage exacerbates salinization inhibits vegetation colonization growth, thereby greatly impairing –H capacity wetlands. results emphasized extreme precipitation‐induced conditions will influence future. These are crucial for improving predictions sequestration water‐holding Read free Plain Language Summary article Journal blog.
Language: Английский
Citations
2Remote Sensing, Journal Year: 2024, Volume and Issue: 16(16), P. 2894 - 2894
Published: Aug. 8, 2024
Ecological sustainability quantifies the capacity of an ecological system to sustain its health while fulfilling human survival needs and supporting future development. An accurate projection dynamics for is crucial decision-makers comprehend potential risks. However, intricate interplay between climate change activity has hindered comprehensive assessments sustainability, leaving it inadequately investigated thus far. This study aimed assess shaped by Shared Socioeconomic Pathways (SSPs) using remote sensing data from a typical arid farming–pastoral zone located at northern foot Yinshan Mountain (NFYM), Inner Mongolia, China. Five machine learning models were employed evaluate relationship driving factors. The results indicate that (1) overall initially decreased then increased during 2003–2022; (2) Geophysical Fluid Dynamics Laboratory Earth System Model version 4 (GFDL-ESM4) mode random forest model demonstrated best performance in simulations; (3) annual rates 2023 2099 are projected be +0.45%, −0.05%, −0.46% per year under SSP1-2.6, SSP2-4.5, SSP5-8.5 scenarios, respectively, suggesting stringent environmental policies can effectively enhance sustainability. proposed framework assist understanding changes different SSPs calls strategies ecosystem resilience NFYM similar regions.
Language: Английский
Citations
2The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 918, P. 170581 - 170581
Published: Feb. 2, 2024
Language: Английский
Citations
1Forests, Journal Year: 2024, Volume and Issue: 15(6), P. 901 - 901
Published: May 23, 2024
The aim of our study is to understand the patterns variation in water use efficiency (WUE) coniferous and broad-leaved mixed forest ecosystems across multiple scales identify its main controlling factors. We employ eddy covariance method gather data from 2017, 2018, 2020, which we calculate gross primary productivity evapotranspiration these forests East China determine WUE at ecosystem level. mean daily ranges 4.84 7.88 gC kg−1 H2O, with a value 6.12 H2O. ridge regression analysis ascertain independent effect environmental factors on variation. find that responds differently different time scales. In conifer ecosystems, temperature relative humidity emerge as most significant influencing variability. Especially seasonal scale, can explain more than 51% Our results underscore varied effects aid predicting response climate change ecosystems.
Language: Английский
Citations
1Environmental Research Letters, Journal Year: 2024, Volume and Issue: 19(11), P. 114067 - 114067
Published: Oct. 10, 2024
Abstract Physiological drought stresses induced by high salinity and atmospheric dryness exert negative effects on mangrove growth constraining surface conductance (Gs) evapotranspiration (ET). However, accurate assessments of vulnerability under changing climate are hindered limited understanding the relative importance these stresses. To close this knowledge gap, we utilized eddy covariance approach to acquire a 7 year (2017–2023) time series ET auxiliary measurements over subtropical monsoonal estuarine in southeast China, aiming examine temporal patterns across scales its environmental controls, particular for The results indicated that (a) study period, showed strong variations at diurnal seasonal scales, which were strongly correlated with photosynthetically active radiation, air temperature, vapor pressure deficit (VPD); (b) seasonality followed changes monthly temperature rainfall, reflecting pattern typical climate; (c) both increasing VPD found significantly constrain Gs when decoupled; (d) variability rainfall exerted similar effect Gs, annual maximum sustained accounting 65% inter-annual ET. These findings suggest stress (or less rainfall) co-limit mangroves. Future change warmer temperatures (negative effect) more extreme (positive could counteract each other affecting
Language: Английский
Citations
1Journal of Engineering Research, Journal Year: 2023, Volume and Issue: unknown
Published: Dec. 1, 2023
Wetland systems are inexpensive and easy-to-operate wastewater widely used globally at different scales for the safe treatment of wastewater. This study aims to evaluate a pilot-scale vertical flow wetland system treating under loadings. The was constructed using indigenous plants (Imperata cylindrical) operated actual twelve-months. Samples from influent effluent were collected weekly. They analyzed parameters listed in Kuwait Environment Public Authority standards reuse irrigation, such as organic matter, nutrients, heavy metals, microorganisms. results showed that high hydraulic loading rate (1.67 m3/m2.d) phase more efficient than low (1.04 terms organics nutrient removal efficiency. range efficiency matter rates around 48.5-49.0% 59.1-59.1%, respectively. In addition, nutrients 43.7-67.7% 24.7-76.6%, Moreover, metals -134.3-93.8% -1545.7-92.6%, It evident he leaching soil. it found performance closely linked ambient temperature effects during start-up (r = 0.59) 0.43) phases example. While has wider on biota, its pronounced. conclusion, can be treat office efficiently harsh climate conditions with adjustments capacity, rates, operational conditions.
Language: Английский
Citations
2China Scientific Data, Journal Year: 2024, Volume and Issue: 9(2), P. 1 - 10
Published: Jan. 1, 2024
Wetland ecosystems play an important role in mitigating global climate change. The long-term monitoring of carbon and water fluxes based on eddy covariance (EC) would be helpful to better protect utilize ecosystem services wetlands. However, related data studies focusing wetland are still limited. Hence, there is urgent need provide more observational for researchers. Yellow River Delta Ecological Research Station Coastal Wetland, Chinese Academy Sciences, has established open-path EC system a Phragmites australis 2010 obtained large amounts flux date. In this paper, the EC-based dataset consisted ecosystem-scale at study site from 2011 2018. Moreover, all were shown four time scales, i.e., half-hourly, daily, monthly, yearly. This great importance estimating examining variations different scales.
Language: Английский
Citations
0Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112663 - 112663
Published: Sept. 26, 2024
Language: Английский
Citations
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