Mapping soil organic matter content using Sentinel-2 synthetic images at different time intervals in Northeast China DOI Creative Commons
Chong Luo, Wenqi Zhang, Xinle Zhang

et al.

International Journal of Digital Earth, Journal Year: 2023, Volume and Issue: 16(1), P. 1094 - 1107

Published: March 23, 2023

Mapping soil organic matter (SOM) content has become an important application of digital mapping. In this study, we processed all Sentinel-2 images covering the bare-soil period (March to June) in Northeast China from 2019 2022 and integrated observation results into synthetic materials with four defined time intervals (10, 15, 20, 30 d). Then, used corresponding different periods conduct SOM mapping determine optimal interval before finally assessing impacts adding environmental covariates. The showed following: (1) mapping, highest accuracy was obtained using day-of-year (DOY) 120 140 20 d intervals, as well ranked follows: > 15 10 d; (2) when at predict SOM, best for predicting always within May; (3) covariates effectively improved performance, multiyear average temperature most factor. general, our demonstrated valuable potential imagery, thereby allowing detailed large areas cultivated soil.

Language: Английский

Exploring the Complex Effects of Wildfire on Stream Water Chemistry: Insights From Concentration‐Discharge Relationships DOI Creative Commons
Christina Richardson, Maya Montalvo, Sasha Wagner

et al.

Water Resources Research, Journal Year: 2024, Volume and Issue: 60(2)

Published: Feb. 1, 2024

Abstract Wildfires are a worldwide disturbance with unclear implications for stream water quality. We examined chemistry responses immediately (<1 month) following wildfire by measuring over 40 constituents in four gauged coastal watersheds that burned at low to moderate severity. Three of the also had pre‐fire concentration‐discharge data 14 constituents: suspended sediment (SS fine ), dissolved organic and inorganic carbon (DOC, DIC), specific UV absorbance (SUVA), major ions (Ca 2+ , K + Mg Na Cl − F select trace elements (total Mn, Fe). In all watersheds, post‐fire concentrations SS DOC, Ca changed when compared data. Post‐fire changes DIC, SUVA, total Fe were found least two three streams. For detectable wildfire, slopes relationships commonly resulted stronger enrichment trends or weaker dilution trends, suggesting new contributing sources surficial near surface. However, few geogenic solutes, displayed nearly sites post‐fire. Moreover, fire‐induced constituent concentration highly discharge site‐dependent. These similarities differences across‐site emphasize need deeper understanding landscape‐scale solute pathways. Our findings highlight importance being explicit about reference points both assessment changes.

Language: Английский

Citations

6

Into the unknown: The role of post‐fire soil erosion in the carbon cycle DOI Creative Commons
Antonio Girona‐García, Diana Vieira, Stefan H. Doerr

et al.

Global Change Biology, Journal Year: 2024, Volume and Issue: 30(6)

Published: June 1, 2024

Wildfires directly emit 2.1 Pg carbon (C) to the atmosphere annually. The net effect of wildfires on C cycle, however, involves many interacting source and sink processes beyond these emissions from combustion. Among those, role post-fire enhanced soil organic (SOC) erosion as a mechanism remains essentially unquantified. can greatly enhance due loss protective vegetation cover changes structure wettability. Post-fire SOC acts when off-site burial stabilization eroded after fire, together with on-site recovery content, exceed losses during its transport. Here we synthesize published data evaluate overall potential act longer-term sink. To explore quantitative importance, also model magnitude at continental scale using 2017 wildfire season in Europe. Our estimations show that ability water first year could account for around 13% produced by wildland fires. This indicates is quantitatively important process balance fires highlights need more field further validate this initial assessment.

Language: Английский

Citations

6

Hydrology, rather than wildfire burn extent, determines post‐fire organic and black carbon export from mountain rivers in central coastal California DOI Creative Commons
Riley Barton, Christina Richardson,

Evelyn Pae

et al.

Limnology and Oceanography Letters, Journal Year: 2023, Volume and Issue: 9(1), P. 70 - 80

Published: Oct. 18, 2023

Abstract Coastal mountain rivers export disproportionately high quantities of terrestrial organic carbon (OC) directly to the ocean, feeding microbial communities and altering coastal ecology. To better predict mitigate effects wildfires on aquatic ecosystems resources, we must evaluate relationships between fire, hydrology, export, particularly in fire‐prone western United States. This study examined spatiotemporal particulate dissolved OC (POC DOC, respectively) black (PBC DBC, from five watersheds following 2020 CZU Lightning Complex Fires (California, USA). Despite variability watershed burn extent (20–98%), annual POC, PBC, DBC concentrations remained relatively stable among different watersheds. Instead, they correlated significantly with discharge. Our findings indicate that rather than extent, is a primary driver post‐fire

Language: Английский

Citations

16

Probing the fast transformation mechanism of Cr (VI) on carbon dots with structural defects and surface oxygen functional groups DOI
Zhelun Pan, Ting Zhang, Xufang Qian

et al.

Applied Catalysis B Environment and Energy, Journal Year: 2023, Volume and Issue: 330, P. 122571 - 122571

Published: March 4, 2023

Language: Английский

Citations

15

Mapping soil organic matter content using Sentinel-2 synthetic images at different time intervals in Northeast China DOI Creative Commons
Chong Luo, Wenqi Zhang, Xinle Zhang

et al.

International Journal of Digital Earth, Journal Year: 2023, Volume and Issue: 16(1), P. 1094 - 1107

Published: March 23, 2023

Mapping soil organic matter (SOM) content has become an important application of digital mapping. In this study, we processed all Sentinel-2 images covering the bare-soil period (March to June) in Northeast China from 2019 2022 and integrated observation results into synthetic materials with four defined time intervals (10, 15, 20, 30 d). Then, used corresponding different periods conduct SOM mapping determine optimal interval before finally assessing impacts adding environmental covariates. The showed following: (1) mapping, highest accuracy was obtained using day-of-year (DOY) 120 140 20 d intervals, as well ranked follows: > 15 10 d; (2) when at predict SOM, best for predicting always within May; (3) covariates effectively improved performance, multiyear average temperature most factor. general, our demonstrated valuable potential imagery, thereby allowing detailed large areas cultivated soil.

Language: Английский

Citations

15