Land degradation: Multiple environmental consequences and routes to neutrality

Current Opinion in Environmental Science & Health, Journal Year: 2018, Volume and Issue: 5, P. 79 - 86

Published: July 11, 2018

Language: Английский

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Evaluation of watershed health using Fuzzy-ANP approach considering geo-environmental and topo-hydrological criteria

Journal of Environmental Management, Journal Year: 2018, Volume and Issue: 232, P. 22 - 36

Published: Nov. 20, 2018

Language: Английский

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River nutrient water and sediment measurements inform on nutrient retention, with implications for eutrophication

The Science of The Total Environment, Journal Year: 2019, Volume and Issue: 684, P. 296 - 302

Published: May 22, 2019

Language: Английский

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Integrating Remote Sensing and Landscape Characteristics to Estimate Soil Salinity Using Machine Learning Methods: A Case Study from Southern Xinjiang, China

Remote Sensing, Journal Year: 2020, Volume and Issue: 12(24), P. 4118 - 4118

Published: Dec. 16, 2020

Soil salinization, one of the most severe global land degradation problems, leads to loss arable and declines in crop yields. Monitoring distribution salinized soil degree salinization is critical for management, remediation, utilization soil; however, there a lack thorough assessment various data sources including remote sensing landscape characteristics estimating salinity arid semi-arid areas. The overall goal this study was develop framework diverse landscapes by fusing information from satellite images, characteristics, appropriate machine learning models. To explore spatial southern Xinjiang, China, as case study, we obtained 151 samples field campaign, which were analyzed laboratory electrical conductivity. A total 35 indices classifiers (11), terrain attributes (3), vegetation spectral (8), (13) calculated or derived correlated with salinity. Nine used model estimate using four predictive modelling approaches: partial least squares regression (PLSR), convolutional neural network (CNN), support vector (SVM) learning, random forest (RF). Testing datasets divided into vegetation-covered bare accuracy assessment. RF best R2 = 0.75, effective revealing salt distribution. Importance analysis path modeling independent variables indicated that environmental factors digital elevation (DEM), B10, green atmospherically resistant index (GARI) showed strongest contribution estimation. This great promise measurement monitoring areas integration sensing, model.

Language: Английский

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Coupling Coordination Analysis and Prediction of Landscape Ecological Risks and Ecosystem Services in the Min River Basin

Land, Journal Year: 2022, Volume and Issue: 11(2), P. 222 - 222

Published: Feb. 2, 2022

Watershed landscape ecological security and ecosystem service functions are the material basis environmental guarantee for promoting socioeconomic development. Analyzing spatiotemporal characteristics of risks (LERs) services (ESs) exploring coupling coordination relationship between two great significance construction civilization achieving sustainable development in watershed. With Min River Basin as study area, risk assessment, Integrated Valuation Ecosystem Services Tradeoffs (InVEST), Carnegie Ames–Stanford Approach (CASA) models were used to evaluate LERs ESs based on shared pathways (SSPs), patch-generating land use simulation (PLUS) model was predict distribution 2030. On this basis, degree explore ESs. The results show that, from 2000 2020, LER gradually decreased, overall spatial pattern “high north low south”. ES initially decreased then increased, showing a “low south high north”. Among SSPs 2030, is largest under SSP3 scenario smallest SSP4 scenario. improvement most significant SSP1 lowest From first five SSPs, highest SSP1. urban area main driving factor affecting ES, social economy beginning optimization.

Language: Английский

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Integrated assessment of the impact of land use types on soil pollution by potentially toxic elements and the associated ecological and human health risk

Environmental Pollution, Journal Year: 2022, Volume and Issue: 299, P. 118911 - 118911

Published: Jan. 28, 2022

Language: Английский

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Microbial Community Structure and Causal Analysis. in Sediments of Shallow Eutrophic Freshwater Lakes. Under Heavy Metal Compound Pollution

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 487, P. 137135 - 137135

Published: Jan. 7, 2025

Language: Английский

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The Buffer Capacity of Riparian Vegetation to Control Water Quality in Anthropogenic Catchments from a Legally Protected Area: A Critical View over the Brazilian New Forest Code

Water, Journal Year: 2019, Volume and Issue: 11(3), P. 549 - 549

Published: March 16, 2019

The riparian buffer width on watersheds has been modified over the last decades. human settlements heavily used and have significantly altered those areas, for farming, urbanization, recreation other functions. In order to protect freshwater ecosystems, areas recently assumed world recognition considered valuable conservation of nature biodiversity, protected by forest laws policies as permanent preservation areas. objective this work was compare parameters from related a natural watercourse less than 10 m wide, specific purposes in Law No. 4761/65, now revoked replaced 12651/12, known New Forest Code. effects 15, 30 50 wide water soil three headwater catchments sugar cane production were analyzed. are located Environmental Protection Area Uberaba River Basin (state Minas Gerais, Brazil), legally resources native vegetation. A field survey carried out verification land uses, while periodical campaigns conducted monthly sampling seasonal within studied buffers. physico-chemical handled ANOVA (Tukey’s mean test) differences among catchments, thematic maps elaborated geographic information system illustration purposes. results suggested that 10, or even buffers not able fulfill environmental function preserving resources, therefore incapable ensure well-being populations. Therefore, limits imposed actual Brazilian Code should be enlarged substantially.

Language: Английский

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Grey water footprint as an indicator for diffuse nitrogen pollution: The case of Navarra, Spain

The Science of The Total Environment, Journal Year: 2019, Volume and Issue: 698, P. 134338 - 134338

Published: Sept. 6, 2019

Language: Английский

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Spatio-seasonal variation of water quality influenced by land use and land cover in Lake Muhazi

Scientific Reports, Journal Year: 2021, Volume and Issue: 11(1)

Published: Aug. 30, 2021

Abstract Understanding the influence of land use/land cover (LULC) on water quality is pertinent to sustainable management. This study aimed at assessing spatio-seasonal variation in relation use types Lake Muhazi, Rwanda. The National Sanitation Foundation Water Quality Index (NSF-WQI) was used evaluate anthropogenically-induced changes. In addition Principal Components Analysis (PCA), a Cluster (CA) applied 12-clustered sampling sites and obtained NSF-WQI. Lastly, Partial Least Squares Path Modelling (PLS-PM) estimate nexus between LULC, parameters, results revealed poor status Mugorore Butimba rainy season, then Bwimiyange dry season. Furthermore, PCA displayed sample dispersion based seasonality while NSF-WQI’s CA hierarchy grouped samples corresponding LULC types. Finally, PLS-PM returned strong positive correlation (+ 0.831) LULCs parameters season but negative coefficient (− 0.542) with great influences cropland parameters. Overall, this concludes that lake seasonally influenced by anthropogenic activities, suggesting land-use management decisions, such as establishment safeguarding protection belts vicinity.

Language: Английский

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