Multi-scale Sampling

Multi-Scale Sampling is a field sampling design strategy that systematically incorporates multiple spatial or temporal scales within a single survey framework to capture ecological patterns and processes that vary across hierarchical levels of organization.

89

Publications

4.1K

Citations

384

Authors

187

Institutions

Publications per year

2017–2026

25

Authors

384

  1. JM
    Joanah Moses Ikobah

    University of Calabar, Nigeria

    2 publications · 64 citations

    2

    h-index

  2. LD
    Lisa D. Schell

    Colorado State University, United States

    2 publications · 152 citations

    2

    h-index

  3. EE
    Emmanuel Ekanem

    University of Calabar, Nigeria

    2 publications · 64 citations

    2

    h-index

  4. TJ
    Thomas J. Stohlgren

    Colorado State University, United States

    2 publications · 152 citations

    2

    h-index

  5. BJ
    Byeungwoo Jeon

    Sungkyunkwan University, South Korea

    2 publications · 51 citations

    2

    h-index

1–5 of 384

Venues

  1. PLoS ONE

    3 publications · 100 citations

    3

    h-index

  2. Methods in Ecology and Evolution

    3 publications · 80 citations

    3

    h-index

  3. Environmental Monitoring and Assessment

    1 publications · 53 citations

    2

    h-index

  4. Ecological Applications

    2 publications · 152 citations

    2

    h-index

  5. Data Archiving and Networked Services (DANS)

    Repository · 1 publications · 16 citations

    1

    h-index

1–5