Journal of Geophysical Research: Biogeosciences最新文献

{"title":"Zoogeochemistry: Breaking Down the Silos Between Biogeochemistry and Zoology","authors":"Robert W. Buchkowski","doi":"10.1029/2025JG009048","DOIUrl":"https://doi.org/10.1029/2025JG009048","url":null,"abstract":"<p>The field of zoogeochemistry focuses on including the effects of animals in ecosystem and biogeochemical concepts and computational models. Animals are known to have an effect disproportionate to their biomass on key ecosystem processes, such as a carbon and nitrogen cycling. However, it is challenging to include them into our models because we often lack mechanistic explanations behind animal effects, including how they affect the ecosystem structure and biogeochemistry. Jonsson et al. (2025, https://doi.org/10.1029/2024JG008598) report on a common garden experiment that provides a deeper mechanistic understanding of how nonnative earthworms impact soil carbon in the Scandinavian Arctic. They demonstrate that earthworms increased soil carbon in heath habitats by allowing plants to increase their rooting depth and root exudation. Conversely, they decreased soil carbon in meadow habitats by promoting the degradation of surface soil carbon. Their work is a compelling example of how to gather the mechanistic detail needed to incorporate animal effects into biogeochemical models.</p>","PeriodicalId":16003,"journal":{"name":"Journal of Geophysical Research: Biogeosciences","volume":"130 6","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2025JG009048","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144292847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Microbial Community Responses to Temperature Variations: Shaping Bioclogging Dynamics in Intermittent Stream Sediments","authors":"Qihao Jiang,&nbsp;Shenglin Ke,&nbsp;Pengjie Hu,&nbsp;Tiange Wang,&nbsp;Haiyu Yuan,&nbsp;Dongsheng Liu,&nbsp;Yilin Chen,&nbsp;Hongfei Zhao,&nbsp;Changchun Huang","doi":"10.1029/2024JG008643","DOIUrl":"https://doi.org/10.1029/2024JG008643","url":null,"abstract":"<p>Bioclogging in intermittent streams influences hyporheic flow, nutrient cycling, and ecosystem biodiversity. Disconnected pools, characterized by elevated nutrient concentrations and temperatures ranging from 20 to 45°C, provide a unique setting for studying bioclogging dynamics in arid and semiarid regions. Despite this importance, the impact of temperature on microbial communities driving bioclogging remains underexplored. Through 77-day biofilm culture column experiments, hydrodynamic monitoring, sediment microbial community analysis, and resazurin tracer tests, this study investigates how different temperatures (20°C, 30°C, and 40°C) shape microbial diversity, community interactions, and bioclogging processes. Results showed that microbial diversity increased with temperature, with the highest species richness and evenness observed at 40°C. Proteobacteria, a dominant taxon, maintained broad ecological niches across all temperatures, whereas niche differentiation became more pronounced at 40°C, reducing competition between taxa. Stochastic processes, such as random dispersal and migration, gained prominence, with migration rates (i.e., a dimensionless metric) rising from 0.47 at 20°C to 0.86 at 40°C. Bioclogging rates also declined as microbial activity concentrated near the sediment-water interface, resulting in a 21.4% reduction in clogging at 40°C compared to 20°C. These findings highlight the significant influence of temperature on microbial community assembly, sediment permeability, and bioclogging extent. They underscore the need to consider microbial dynamics in water resource management, particularly in arid regions where temperature-driven changes could affect nutrient cycling and water connectivity. Integrating microbial interactions and temperature effects into bioclogging models could enhance predictions of climate change impacts on stream ecosystems, providing a more comprehensive understanding of potential future scenarios.</p>","PeriodicalId":16003,"journal":{"name":"Journal of Geophysical Research: Biogeosciences","volume":"130 6","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144281584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulating Complex CO2 Background Conditions for Indianapolis, IN, With a Simple Ecosystem CO2 Flux Model","authors":"S. L. Murphy,&nbsp;K. J. Davis,&nbsp;N. L. Miles,&nbsp;Z. R. Barkley,&nbsp;A. Deng,&nbsp;J. P. Horne,&nbsp;S. J. Richardson,&nbsp;S. M. Gourdji","doi":"10.1029/2024JG008518","DOIUrl":"https://doi.org/10.1029/2024JG008518","url":null,"abstract":"<p>We evaluated the ability of a simple ecosystem carbon dioxide (CO₂) flux model, the Vegetation Photosynthesis and Respiration Model (VPRM), to capture complex CO₂ background conditions observed in Indianapolis, IN. Using simulated biogenic CO₂ fluxes and mole fraction tower influence functions, we estimated biogenic CO₂ mole fractions at three background towers in the Indianapolis Flux Experiment (INFLUX) network from April 2017 to March 2020. The model captures afternoon average CO₂ enhancements, the difference between the background towers and a common reference tower, at a monthly time scale with no significant bias, with monthly mean residuals rarely differing significantly from zero. Although not central to our application, the model could not capture day-to-day variations of observed afternoon average CO₂ enhancements. Random errors, when averaged over monthly to yearly time scales, were an order of magnitude smaller than typical urban enhancements. VPRM captured site-to-site differences in the average observed daily cycle of CO₂ fluxes at agricultural eddy covariance flux sites well, indicating that the model is able to capture rural CO₂ fluxes in our domain in addition to capturing differential impacts of the fluxes on CO₂ mole fractions. VPRM can be effectively used in CO₂ inversions to represent complex seasonal variations in background conditions observed in Indianapolis. Indianapolis, a modest-size city surrounded by strong ecosystem fluxes, represents a rigorous test for the VPRM system. Further, this study presents an evaluation system that can be applied to assess the performance of other ecosystem CO₂ flux models in cities with similar monitoring networks.</p>","PeriodicalId":16003,"journal":{"name":"Journal of Geophysical Research: Biogeosciences","volume":"130 6","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024JG008518","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144281401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Individual Tree and Sapling Aboveground Biomass (AGB) Estimates for 35 NEON Terrestrial Observation Sites for 2014–2023","authors":"Jeff W. Atkins,&nbsp;Brandon Alveshere,&nbsp;Sabrie Breland,&nbsp;Courtney Meier,&nbsp;Michael Langley,&nbsp;Lu Zhai","doi":"10.1029/2024JG008381","DOIUrl":"https://doi.org/10.1029/2024JG008381","url":null,"abstract":"<p>Here we present aboveground biomass (AGB) estimates from individual tree diameters scaled to whole-tree biomass estimates using generalized allometric equations for 35 National Ecological Observatory Network (NEON) sites within the United States and Puerto Rico. These data are in both a standalone data file made publicly available via Figshare and as an R data package (NEONForestAGB) that allows for direct import of data into the R statistical computing environment. AGB is an Essential Climate Variable (ECV), yet biomass estimation from large forest inventory data can be cumbersome. Here we seek to provide a useful data set for community use from NEON data. The data set includes 92,281 unique individuals of 478 different species from 1,216 terrestrial observation plots for 360,570 biomass estimates between the years 2014 and 2023.</p>","PeriodicalId":16003,"journal":{"name":"Journal of Geophysical Research: Biogeosciences","volume":"130 6","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144273555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Differentiating the Impacts of Natural Growth and Artificial Restoration of Vegetation on Water Use Efficiency in the Yellow River Basin","authors":"Jinkai Luan,&nbsp;Ning Ma,&nbsp;Jiefeng Wu,&nbsp;Ran Zhang","doi":"10.1029/2025JG008906","DOIUrl":"https://doi.org/10.1029/2025JG008906","url":null,"abstract":"<p>Vegetation change is closely linked to fluctuations in ecosystem water use efficiency (WUE). Although vegetation change (VC) involves the natural growth (NG) and the artificial restoration (AR), the individual impacts of these two processes on WUE remain poorly understood. This study used a recently developed ecohydrological model, integrating observed streamflow and multiple remote sensing data sets, to quantify the effects of NG and AR on WUE through three distinct vegetation scenarios in the Yellow River Basin (YRB) of China from 1998 to 2020. This region has experienced remarkable vegetation changes due to both natural and anthropogenic factors. The results show that, on average, VC led to a 13.3% increase in WUE in the YRB. However, NG and AR had contrasting impacts: the former contributed to a 7.4% decrease in WUE, whereas the latter caused a 22.4% increase in WUE. Spatially, NG reduced WUE in the southeastern YRB and the marginal areas of the Tibetan Plateau with somewhat higher precipitation but increased WUE in certain northern and northwestern regions of the YRB with lower precipitation. In contrast, AR generally reduced WUE in arid regions but increased WUE in wetter ones, showing effects opposite to those of NG. However, in specific areas like the Mu Us Sandy Land, a typical dry region, both NG and AR enlarged WUE. In all scenarios, the primary driver of WUE changes appeared to be net primary productivity rather than evapotranspiration. This study provides practical insights for sustainable water resource and ecological management.</p>","PeriodicalId":16003,"journal":{"name":"Journal of Geophysical Research: Biogeosciences","volume":"130 6","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144245071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The δ13C Signature of Dissolved Organic and Inorganic Carbon Reveals Complex Carbon Transformations Within a Salt Marsh","authors":"Meagan J. Eagle,&nbsp;Kevin D. Kroeger,&nbsp;John W. Pohlman,&nbsp;Joseph J. Tamborski,&nbsp;Zhaohui Aleck Wang,&nbsp;T. W. Brooks,&nbsp;Jennifer O’Keefe Suttles,&nbsp;Adrian Mann","doi":"10.1029/2025JG008898","DOIUrl":"https://doi.org/10.1029/2025JG008898","url":null,"abstract":"<p>Coastal wetlands have high rates of atmospheric CO₂ uptake, which is subsequently respired back to the atmosphere, stored as organic matter within flooded, anoxic soils, or exported to the coastal ocean. Transformation of fixed carbon occurs through a variety of subsurface aerobic and anaerobic microbial processes, and results in a large inventory of dissolved carbon. Carbon source and the roles of aerobic respiration, sulfate reduction, and methane cycling were evaluated within salt marsh peat and the underlying sandy subterranean estuary. There is a large increase in dissolved inorganic carbon (DIC, 7,350 ± 3,900 μmol L⁻¹), dissolved organic carbon (DOC, 1,040 ± 1,480 μmol L⁻¹) and CH₄ (14.5 ± 33.3 μmol L⁻¹) within the marsh porewaters compared to creek waters. Alkalinity production (5,730 ± 2,170 μeq L⁻¹) and sulfate removal (1,810 ± 1,970 μmol L⁻¹) indicate anaerobic respiration, however, relative contributions from the various decomposition pathways cannot be identified due to overlapping geochemical signatures. The δ¹³C of the DOC (−29.0 ± 3.7‰) and DIC (−11.2 ± 1.1‰) produced within the marsh differed from the bulk soil organic matter δ¹³C (−14.5 ± 0.2‰). We explore a variety of mechanisms that could result in co-occurring depleted δ¹³C-DOC and enriched δ¹³C-DIC compared to the bulk soil organic carbon pool and salt marsh vegetation, including selective mineralization, production of δ¹³C-depleted bacterial biomass, and methane-derived DOC. While important questions remain about carbon cycling pathways, we found evidence of a cryptic methane cycle. Alteration of the δ¹³C of carbon species complicates source attribution in solid and dissolved phases and careful consideration should be used when carbon is partitioned between in situ salt marsh production and external marine and terrestrial sources.</p>","PeriodicalId":16003,"journal":{"name":"Journal of Geophysical Research: Biogeosciences","volume":"130 6","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144232246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatio-Temporal Variations in Soil Phosphorus Pools Indicate Their Bioavailability","authors":"Huiying Lin,&nbsp;Enqing Hou,&nbsp;Xianjin He,&nbsp;Yang Liu,&nbsp;Yongbiao Lin,&nbsp;Zhifeng Guo,&nbsp;Guodong Yuan","doi":"10.1029/2024JG008427","DOIUrl":"https://doi.org/10.1029/2024JG008427","url":null,"abstract":"<p>Long-term soil phosphorus (P) supply is sustained by soil P pools with varying bioavailability. Theoretically, the more bioavailable a soil P pool is, the more easily it can be influenced by spatio-temporal variations in biological P utilization and abiotic factors (e.g., lithology), and therefore the greater spatio-temporal variation it exhibits. However, this hypothesis has not been explicitly tested. Here, we tested this hypothesis by examining the empirical relationships between spatio-temporal variations and the theoretical bioavailability of soil P pools, as defined by the Hedley fractionation procedure, both in a subtropical forest and at the global scale. As hypothesized, spatial and temporal variations in Hedley P pools generally increased with their theoretical bioavailability in the selected subtropical forest and globally. Specifically, spatio-temporal variations in inorganic P pools were ranked as occluded Pi &lt; moderately labile Pi &lt; labile Pi &lt; readily available Pi, and organic P pools were ranked as occluded Po &lt; moderately labile Po &lt; labile Po. Spatial variation in Pi pools exceeded that in Po pools from the same extracts, whereas temporal variation in Pi pools was typically lower than that in Po pools. Additionally, primary mineral Pi exhibited significant spatio-temporal variation, ranking second only to readily available Pi, and was likely due to stronger influences from abiotic factors such as pedogenesis and lithology. These findings demonstrate a general consistency between spatio-temporal variations and the bioavailability of soil P pools, supporting the reliability of the Hedley fractionation procedure in distinguishing soil P pools with different bioavailability.</p>","PeriodicalId":16003,"journal":{"name":"Journal of Geophysical Research: Biogeosciences","volume":"130 6","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144220430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mesoscale Eddies Drive Phytoplankton-Mediated Biogeochemistry in the South China Sea","authors":"Wenlong Xu,&nbsp;Guifen Wang,&nbsp;Xiaogang Xing,&nbsp;Marin Cornec,&nbsp;Alex Hayward,&nbsp;Bingzhang Chen,&nbsp;Xuhua Cheng","doi":"10.1029/2024JG008664","DOIUrl":"https://doi.org/10.1029/2024JG008664","url":null,"abstract":"<p>Ocean mesoscale eddies are important drivers of upper ocean physical and biological processes. However, owing to their ephemeral nature and limited observational data, the impact of eddies on three-dimensional biogeochemical cycles and hence related phytoplankton phenology remains unclear. Here, from ship-based surveys, we assessed the impact of two eddies of opposite polarity on phytoplankton biomass and community structure, in the upper 200 m of the northwest South China Sea (SCS), as well as their effect on the diapycnal nutrient fluxes and oxygen concentration. These observations revealed that pico-phytoplankton dominated phytoplankton community, whereas the fraction of micro- and nano- phytoplankton (<i>F</i>_micro and <i>F</i>_nano) increased with depth, reaching a maximum near the SCM layer (located between 50 and 100 m). The magnitude of SCM and total phytoplankton Chl were greater within the cyclonic eddy (CE) compared to those influenced by the anticyclonic eddy due to the enhanced vertical diapycnal fluxes of nutrients within the CE. The elevated diapycnal nutrient flux in the CE resulted from an increase in turbulent kinetic energy dissipation coefficient and steeper vertical gradients in inorganic nutrients. Pigment-based chemotaxonomy further indicated that eukaryotes increased significantly in the SCM layer with concentrations reaching 0.16 ± 0.08 mg m⁻³; the enhancement of <i>F</i>_micro in the CE was mainly attributed to the increased contribution of diatoms. The vertical biogeochemical dynamics revealed by this research may showcase fundamental characteristics of oligotrophic ecosystems, where mesoscale perturbations are vertically heterogeneous, improving our understanding of the complex biophysical interactions within mesoscale eddies.</p>","PeriodicalId":16003,"journal":{"name":"Journal of Geophysical Research: Biogeosciences","volume":"130 6","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144220429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping Soil Organic Matter, Total Carbon, and Total Nitrogen in Salt Marshes Using UAS-Based Hyperspectral Imaging","authors":"Nayma Binte Nur,&nbsp;Charles M. Bachmann,&nbsp;Anna Christina Tyler,&nbsp;Avery Miller,&nbsp;Sayem Khan,&nbsp;Kimberly E. Union,&nbsp;Wendy A. Owens-Rios,&nbsp;Timothy D. Bauch,&nbsp;Christopher S. Lapszynski","doi":"10.1029/2024JG008421","DOIUrl":"https://doi.org/10.1029/2024JG008421","url":null,"abstract":"<p>Wetland ecosystems are critical to global carbon and nitrogen cycles. This study leverages unmanned aerial system (UAS)-based hyperspectral imaging to quantify soil organic matter (SOM), total carbon (C), and total nitrogen (N) in moderately to densely vegetated salt marshes at the Virginia Coast Reserve Long-Term Ecological Research (VCR-LTER) site. We utilized elastic net (ENet) regression and gradient-boosted regression trees (GBRT) within a hybrid modeling framework to predict these soil properties using features from the visible to near-infrared (VNIR) and shortwave infrared (SWIR) spectral ranges. Validated through a 1,000-iteration bootstrap analysis, the hybrid model demonstrated robust predictive capabilities. The model achieved mean normalized root mean square error of 0.118 for SOM, 0.127 for C, and 0.138 for N, with corresponding mean <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msup>\u0000 <mi>R</mi>\u0000 <mn>2</mn>\u0000 </msup>\u0000 </mrow>\u0000 <annotation> ${R}^{2}$</annotation>\u0000 </semantics></math> values of 0.874, 0.865, and 0.822, respectively. These outcomes highlight the efficacy of integrating advanced statistical methods with high-resolution remote sensing data to enhance soil property estimation in ecologically sensitive areas.</p>","PeriodicalId":16003,"journal":{"name":"Journal of Geophysical Research: Biogeosciences","volume":"130 6","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024JG008421","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144220431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-Scale Spectroscopy to Map Intertidal Microbial Biofilm Community and Trait Diversity","authors":"Kristin B. Byrd,&nbsp;Sherry L. Palacios,&nbsp;Niky C. Taylor,&nbsp;Isa Woo,&nbsp;Stacy Moskal,&nbsp;Raymond F. Kokaly,&nbsp;Todd M. Hoefen,&nbsp;John W. Chapman,&nbsp;Susan E. W. De La Cruz","doi":"10.1029/2024JG008520","DOIUrl":"https://doi.org/10.1029/2024JG008520","url":null,"abstract":"<p>Intertidal microbial biofilms, or microphytobenthos, support estuarine biogeochemical cycling, the physical stability of mudflats, and food webs, particularly those of migratory shorebirds. Photosynthetic biofilms dominated by diatoms, cyanobacteria, and chlorophytes represent a significant fraction of biofilm biomass and contain pigments that can be detected with remote sensing. These diverse biofilm community types vary in indicator pigments and functional traits related to biogeochemical cycling and nutritional quality. We modeled and mapped spatial variation in intertidal biofilm distribution, quantity, diversity, and functional traits using multi-scale spectroscopic data collected within southern San Francisco Bay, California, USA (South SFB). We developed a new biofilm index (B-index) from 5 mm HySpex spectra to detect biofilm presence. We developed single and multiple response partial least squares regression (PLS) models of chlorophyll<i>-a</i> (chl<i>-a</i>; biomass indicator), indicator pigments: fucoxanthin and diadinoxanthin (diatoms), zeaxanthin (cyanobacteria), and chl<i>-b</i> (chlorophytes), and functional traits: carbohydrates, lipids, and total organic carbon from paired in situ biofilm data and field spectra. The B-index and PLS models were scaled to South SFB with a 3.7 m AVIRIS-NG hyperspectral image. The model %RMSE calculated from AVIRIS-NG test samples ranged from 12.7% for chl<i>-a</i> to 49% for chl<i>-b</i>; for six of the eight models, %RMSE was 23% or below. Mapped community types differed in mapped traits, with average lipid concentrations three times higher in areas indicated as diatoms compared to other groups. Available maps depict for the first time the spatial variation of an important shorebird food resource and inform the contribution of intertidal biofilm in carbon and nutrient cycling.</p>","PeriodicalId":16003,"journal":{"name":"Journal of Geophysical Research: Biogeosciences","volume":"130 6","pages":""},"PeriodicalIF":3.7,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144213827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}