Coupled Vegetation Models

Coupled Vegetation Models is a computational modeling framework that integrates dynamic vegetation processes with hydrological cycles through bidirectional feedback mechanisms, distinguishing it from standalone ecological or hydrological models by explicitly simulating the co-evolution of plant community structure and water balance components.

252

Publications

34.7K

Citations

871

Authors

426

Institutions

Publications per year

2017–2026

72

Authors

871

  1. SL
    Samuel Levis

    NSF National Center for Atmospheric Research, United States

    13 publications · 6.2K citations

    13

    h-index

  2. SS
    Stephen Sitch

    University of Exeter, United Kingdom

    11 publications · 6.1K citations

    11

    h-index

  3. BS
    Benjamin Smith

    Lund University, Sweden

    8 publications · 6.6K citations

    8

    h-index

  4. JA
    Jonathan A. Foley

    University of Wisconsin–Madison, United States

    8 publications · 4.2K citations

    8

    h-index

  5. DP
    David Pollard

    Pennsylvania State University, United States

    7 publications · 2.3K citations

    7

    h-index

1–5 of 871

Venues

  1. Global Change Biology

    14 publications · 7.2K citations

    14

    h-index

  2. Geoscientific model development

    13 publications · 906 citations

    12

    h-index

  3. Journal of Climate

    13 publications · 753 citations

    12

    h-index

  4. Water Resources Research

    11 publications · 1.6K citations

    11

    h-index

  5. Ecological Modelling

    9 publications · 400 citations

    9

    h-index

1–5