{
  "abstract": "Vegetation optical depth (VOD) is widely used to monitor vegetation water dynamics, yet its interpretation in dense tropical forests remains uncertain because independent observations of water partitioning among vegetation compartments are scarce. Here, we compare Global Navigation Satellite System transmissometry-derived VOD (GNSS-T VOD) with independent measurements of leaf, stem, and soil water in an old-growth Central Amazon rainforest. Stem water storage dominated total vegetation water storage and closely tracked seasonal soil moisture. In contrast, GNSS-T VOD exhibited opposing relationships with vegetation water compartments, being positively associated with leaf water storage (r = 0.65, p = 0.16) but negatively correlated with stem water storage and total vegetation water storage (both r = −0.83, p < 0.05). These contrasting relationships show that temporal variation in GNSS-T VOD cannot be explained by total vegetation water storage alone. Instead, these relationships highlight the importance of water partitioning among vegetation compartments when interpreting GNSS-T VOD. These observations provide a benchmark for interpreting L-band VOD in high-biomass tropical forests.",
  "abstract_shown": true,
  "affiliations": [
    "National Institute of Amazonian Research (INPA)",
    "National Institute of Amazonian Research",
    "Georgia Institute of Technology",
    "Finnish Meteorological Institute",
    "Lawrence Berkeley National Laboratory",
    "Cornell University",
    "University of Redlands",
    "California Institute of Technology Division of Geological and Planetary Sciences",
    "National Institute for Amazon Research (INPA)"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 13,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Harley Bravos Da Silva",
      "orcid": "0009-0008-9188-5284"
    },
    {
      "affs": [
        0
      ],
      "name": "Adriano Lima"
    },
    {
      "affs": [
        0
      ],
      "name": "Regison Oliveira",
      "orcid": "0000-0002-9277-2627"
    },
    {
      "affs": [
        1
      ],
      "name": "Bruno Gimenez",
      "orcid": "0000-0001-7336-9448"
    },
    {
      "affs": [
        2
      ],
      "name": "Kyeungwoo Cho",
      "orcid": "0000-0002-9523-7865"
    },
    {
      "affs": [
        2
      ],
      "name": "Jingfeng Wang"
    },
    {
      "affs": [
        3
      ],
      "name": "Andreas Colliander",
      "orcid": "0000-0003-4093-8119"
    },
    {
      "affs": [
        4
      ],
      "name": "Jeffrey Chambers"
    },
    {
      "affs": [
        5
      ],
      "name": "Xiangtao Xu"
    },
    {
      "affs": [
        6
      ],
      "name": "Hillary S Jenkins"
    },
    {
      "affs": [
        7
      ],
      "name": "Christian Frankenberg"
    },
    {
      "affs": [
        8
      ],
      "name": "Niro Higuchi"
    },
    {
      "affs": [
        4
      ],
      "name": "Robinson Negron-Juarez",
      "orcid": "0000-0002-4691-2692"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/5ams65wj6n9kz.bib",
  "cited_by": 0,
  "doi": "10.1088/1748-9326/aeb4cb",
  "fulltext_url": null,
  "id": "5ams65wj6n9kz",
  "issns": [
    "1748-9326"
  ],
  "landing_url": "https://iopscience.iop.org/article/10.1088/1748-9326/aeb4cb",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "feed-journal",
      "earth/environmental-science"
    ],
    [
      "openalex",
      "2305|Soil Moisture and Remote Sensing"
    ]
  ],
  "openalex": "W7222358321",
  "pdf_url": "https://iopscience.iop.org/article/10.1088/1748-9326/aeb4cb/pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-15",
  "publisher": "IOP Publishing",
  "ris": "https://research.draconitic.com/paper/5ams65wj6n9kz.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:20:55Z",
      "native_id": "10.1088/1748-9326/aeb4cb",
      "source": "crossref",
      "url": "https://iopscience.iop.org/article/10.1088/1748-9326/aeb4cb"
    },
    {
      "first_seen": "2026-11-09T12:20:32Z",
      "native_id": "10.1088/1748-9326/aeb4cb",
      "source": "feed-iop",
      "url": "https://iopscience.iop.org/article/10.1088/1748-9326/aeb4cb"
    }
  ],
  "subjects": [
    {
      "field": "earth",
      "origin": "openalex:2305|Soil Moisture and Remote Sensing",
      "subfield": "environmental-science"
    }
  ],
  "title": "Ground-based GNSS transmissometry reveals contrasting leaf and stem water dynamics in a central Amazon rainforest",
  "title_text": "Ground-based GNSS transmissometry reveals contrasting leaf and stem water dynamics in a central Amazon rainforest",
  "type": "peer-reviewed",
  "updated_at": "2026-11-09T18:20:18Z",
  "url": "https://research.draconitic.com/paper/5ams65wj6n9kz",
  "venue": "Environmental Research Letters",
  "versions": []
}