Remote sensing imagery detects hydromorphic soils hidden under agriculture system DOI Creative Commons
Fellipe Alcântara de Oliveira Mello, José Alexandre Melo Demattê, Henrique Bellinaso

et al.

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: July 5, 2023

The pressure for food production has expanded agriculture frontiers worldwide, posing a threat to water resources. For instance, placing crop systems over hydromorphic soils (HS), have direct impact on groundwater and influence the recharge of riverine ecosystems. Environmental regulations improved past decades, but it is difficult detect protect these soils. To overcome this issue, we applied temporal remote sensing strategy generate synthetic soil image (SYSI) associated with random forest (RF) map HS in an 735,953.8 km2 area Brazil. presented different spectral patterns from other soils, allowing detection by satellite sensors. Slope SYSI contributed most prediction model using RF cross validation (accuracy 0.92). assessments showed that 14.5% study represented HS, mostly located inside agricultural areas. Soybean pasture areas had up 14.9% while sugar cane just 3%. Here present advanced technique may improve identification under assist public policies their conservation.

Language: Английский

Native forest cover safeguards stream water quality under a changing climate DOI
Pedro Ribeiro Piffer, Leandro Reverberi Tambosi, Sílvio Frosini de Barros Ferraz

et al.

Ecological Applications, Journal Year: 2021, Volume and Issue: 31(7)

Published: July 14, 2021

Ensuring a sufficient and adequate supply of water for humans ecosystems is pressing environmental challenge. The expansion agricultural urban lands has jeopardized watershed ecosystem services changing climate poses additional risks regional supply. We used stream quality data collected between 2000 2014, coupled with detailed precipitation land cover information, to investigate the effects landscape composition short-term variability on resources in state São Paulo, Brazil. home over 45 million people long history human modification. A severe drought 2014-2015 led major crisis highlighted fragility system. found that human-dominated watersheds had lower overall when compared forested watersheds, showing most detrimental impacts quality. Forest was associated better across studied having low turbidity high dissolved oxygen. High increased fecal coliforms levels oxygen streams but these depended cover. diluted concentrations nitrogen solids highly urbanized exacerbated pasture-dominated watersheds. Given costs treatment densely populated regions, there need plan manage landscapes order ensure resources. In tropical maintaining or restoring native vegetation promising intervention sustain

Language: Английский

Citations

23

Estimating water erosion from the brightness index of orbital images: A framework for the prognosis of degraded pastures DOI

Alessandra Soares Vieira,

Renato Farias do Valle, Vinícius Silva Rodrigues

et al.

The Science of The Total Environment, Journal Year: 2021, Volume and Issue: 776, P. 146019 - 146019

Published: Feb. 23, 2021

Language: Английский

Citations

22

Seasonal Variations in Water Quality and Algal Blooming in Hypereutrophic Lake Qilu of Southwestern China DOI Open Access
Donglin Li, Fengqin Chang, Xinyu Wen

et al.

Water, Journal Year: 2022, Volume and Issue: 14(17), P. 2611 - 2611

Published: Aug. 25, 2022

Understanding the spatiotemporal distributions and variation characteristics of water quality parameters is crucial for ecosystem restoration management lakes, in particular, Lake Qilu (QL), a typical plateau shallow lake on Yunnan-Guizhou Plateau, southwestern China. To identify main causes harmful algal blooming continuous decline, total phosphorus (TP), nitrogen (TN), temperature (WT), dissolved oxygen (DO), chlorophyll-a (Chl-a), pH, turbidity hypereutrophic from January 2017 to December 2021 were analyzed. The results showed complex pattern distribution variation. WT no significant change vertical profile. DO pH value variations caused by both physical biochemical processes, especially at bottom QL with an anaerobic environment. Trophic State Index (TSI) assessment that eutrophic (70.14% all samples, 50 < TSI 70) (29.86%, 70 TSI) poor (WQI 25). TP factors controlling blooms (HABs) based statistical analysis Principal Component Analysis (PCA), Random Forest Model (RFM), Correlation (CA). In QL, loading reduction level increase might be key strategies treating HABs future. Based our results, reducing may more effective than TN prevent highly eutrophicated Qilu.

Language: Английский

Citations

16

Brazil’s urban ecosystems threatened by law DOI
Valter M. Azevedo‐Santos, Vanessa S. Daga, Lívia Helena Tonella

et al.

Land Use Policy, Journal Year: 2023, Volume and Issue: 131, P. 106721 - 106721

Published: June 7, 2023

Language: Английский

Citations

9

Remote sensing imagery detects hydromorphic soils hidden under agriculture system DOI Creative Commons
Fellipe Alcântara de Oliveira Mello, José Alexandre Melo Demattê, Henrique Bellinaso

et al.

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: July 5, 2023

The pressure for food production has expanded agriculture frontiers worldwide, posing a threat to water resources. For instance, placing crop systems over hydromorphic soils (HS), have direct impact on groundwater and influence the recharge of riverine ecosystems. Environmental regulations improved past decades, but it is difficult detect protect these soils. To overcome this issue, we applied temporal remote sensing strategy generate synthetic soil image (SYSI) associated with random forest (RF) map HS in an 735,953.8 km2 area Brazil. presented different spectral patterns from other soils, allowing detection by satellite sensors. Slope SYSI contributed most prediction model using RF cross validation (accuracy 0.92). assessments showed that 14.5% study represented HS, mostly located inside agricultural areas. Soybean pasture areas had up 14.9% while sugar cane just 3%. Here present advanced technique may improve identification under assist public policies their conservation.

Language: Английский

Citations

9