Estimating aboveground herbaceous plant biomass via proxies: The confounding effects of sampling year and precipitation

Gábor Ónodi, Miklós Kertész, Edit Kovács-Láng, Péter Ódor, Z. Botta-Dukát, Barbara Lhotsky, Sándor Barabás, Andrea Mojzes, György Kröel-Dulay

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Direct measurements of aboveground plant biomass are often not feasible, thus various biomass proxies are in use. To obtain biomass estimates, these proxies are calibrated against actual biomass, and the resulting proxy-biomass relationship is often used across multiple years and experimental treatments within a study. We investigated how the proxy-biomass relationship varied across years and considered interannual precipitation variability as a contributing factor. We sampled a perennial grassland for ten consecutive years (2003–2012) in central Hungary and estimated vegetation cover and Normalized Difference Vegetation Index (NDVI); two frequently used biomass proxies representing two contrasting methods. Aboveground live herbaceous plant biomass was harvested from each plot after sampling, and regression models were used to assess the relationship between biomass proxies and actual aboveground biomass. We found that cover and NDVI were equally effective at estimating biomass. However, the relationship between either biomass proxy and actual biomass varied amongst years, and this was related to the amount of precipitation. In wetter years, proxy-biomass relationships were steeper than in drier years. These results indicate that using the same proxy-biomass relationship across different years or precipitation regimes may not be valid and may introduce systematic error into biomass estimations in long-term studies or precipitation manipulation experiments.

Original languageEnglish
Pages (from-to)355-360
Number of pages6
JournalEcological Indicators
Volume79
DOIs
Publication statusPublished - Aug 1 2017

Fingerprint

herbaceous plants
herb
biomass
sampling
phytomass
effect
Confounding
Biomass
Sampling
aboveground biomass
NDVI
vegetation cover
Hungary
grasslands

Keywords

  • Aboveground plant biomass
  • Field spectroscopy
  • Interannual validity
  • Long-term studies
  • NDVI
  • Precipitation
  • Proxy-biomass relationship
  • Visual cover estimation

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Ecology, Evolution, Behavior and Systematics
  • Ecology

Cite this

Estimating aboveground herbaceous plant biomass via proxies : The confounding effects of sampling year and precipitation. / Ónodi, Gábor; Kertész, Miklós; Kovács-Láng, Edit; Ódor, Péter; Botta-Dukát, Z.; Lhotsky, Barbara; Barabás, Sándor; Mojzes, Andrea; Kröel-Dulay, György.

In: Ecological Indicators, Vol. 79, 01.08.2017, p. 355-360.

Research output: Contribution to journalArticle

Ónodi, G, Kertész, M, Kovács-Láng, E, Ódor, P, Botta-Dukát, Z, Lhotsky, B, Barabás, S, Mojzes, A & Kröel-Dulay, G 2017, 'Estimating aboveground herbaceous plant biomass via proxies: The confounding effects of sampling year and precipitation', Ecological Indicators, vol. 79, pp. 355-360. https://doi.org/10.1016/j.ecolind.2017.04.011
Ónodi, Gábor ; Kertész, Miklós ; Kovács-Láng, Edit ; Ódor, Péter ; Botta-Dukát, Z. ; Lhotsky, Barbara ; Barabás, Sándor ; Mojzes, Andrea ; Kröel-Dulay, György. / Estimating aboveground herbaceous plant biomass via proxies : The confounding effects of sampling year and precipitation. In: Ecological Indicators. 2017 ; Vol. 79. pp. 355-360.
@article{0d06a8564e7e4efeb4df24edd7b634fb,
title = "Estimating aboveground herbaceous plant biomass via proxies: The confounding effects of sampling year and precipitation",
abstract = "Direct measurements of aboveground plant biomass are often not feasible, thus various biomass proxies are in use. To obtain biomass estimates, these proxies are calibrated against actual biomass, and the resulting proxy-biomass relationship is often used across multiple years and experimental treatments within a study. We investigated how the proxy-biomass relationship varied across years and considered interannual precipitation variability as a contributing factor. We sampled a perennial grassland for ten consecutive years (2003–2012) in central Hungary and estimated vegetation cover and Normalized Difference Vegetation Index (NDVI); two frequently used biomass proxies representing two contrasting methods. Aboveground live herbaceous plant biomass was harvested from each plot after sampling, and regression models were used to assess the relationship between biomass proxies and actual aboveground biomass. We found that cover and NDVI were equally effective at estimating biomass. However, the relationship between either biomass proxy and actual biomass varied amongst years, and this was related to the amount of precipitation. In wetter years, proxy-biomass relationships were steeper than in drier years. These results indicate that using the same proxy-biomass relationship across different years or precipitation regimes may not be valid and may introduce systematic error into biomass estimations in long-term studies or precipitation manipulation experiments.",
keywords = "Aboveground plant biomass, Field spectroscopy, Interannual validity, Long-term studies, NDVI, Precipitation, Proxy-biomass relationship, Visual cover estimation",
author = "G{\'a}bor {\'O}nodi and Mikl{\'o}s Kert{\'e}sz and Edit Kov{\'a}cs-L{\'a}ng and P{\'e}ter {\'O}dor and Z. Botta-Duk{\'a}t and Barbara Lhotsky and S{\'a}ndor Barab{\'a}s and Andrea Mojzes and Gy{\"o}rgy Kr{\"o}el-Dulay",
year = "2017",
month = "8",
day = "1",
doi = "10.1016/j.ecolind.2017.04.011",
language = "English",
volume = "79",
pages = "355--360",
journal = "Ecological Indicators",
issn = "1470-160X",
publisher = "Elsevier",

}

TY - JOUR

T1 - Estimating aboveground herbaceous plant biomass via proxies

T2 - The confounding effects of sampling year and precipitation

AU - Ónodi, Gábor

AU - Kertész, Miklós

AU - Kovács-Láng, Edit

AU - Ódor, Péter

AU - Botta-Dukát, Z.

AU - Lhotsky, Barbara

AU - Barabás, Sándor

AU - Mojzes, Andrea

AU - Kröel-Dulay, György

PY - 2017/8/1

Y1 - 2017/8/1

N2 - Direct measurements of aboveground plant biomass are often not feasible, thus various biomass proxies are in use. To obtain biomass estimates, these proxies are calibrated against actual biomass, and the resulting proxy-biomass relationship is often used across multiple years and experimental treatments within a study. We investigated how the proxy-biomass relationship varied across years and considered interannual precipitation variability as a contributing factor. We sampled a perennial grassland for ten consecutive years (2003–2012) in central Hungary and estimated vegetation cover and Normalized Difference Vegetation Index (NDVI); two frequently used biomass proxies representing two contrasting methods. Aboveground live herbaceous plant biomass was harvested from each plot after sampling, and regression models were used to assess the relationship between biomass proxies and actual aboveground biomass. We found that cover and NDVI were equally effective at estimating biomass. However, the relationship between either biomass proxy and actual biomass varied amongst years, and this was related to the amount of precipitation. In wetter years, proxy-biomass relationships were steeper than in drier years. These results indicate that using the same proxy-biomass relationship across different years or precipitation regimes may not be valid and may introduce systematic error into biomass estimations in long-term studies or precipitation manipulation experiments.

AB - Direct measurements of aboveground plant biomass are often not feasible, thus various biomass proxies are in use. To obtain biomass estimates, these proxies are calibrated against actual biomass, and the resulting proxy-biomass relationship is often used across multiple years and experimental treatments within a study. We investigated how the proxy-biomass relationship varied across years and considered interannual precipitation variability as a contributing factor. We sampled a perennial grassland for ten consecutive years (2003–2012) in central Hungary and estimated vegetation cover and Normalized Difference Vegetation Index (NDVI); two frequently used biomass proxies representing two contrasting methods. Aboveground live herbaceous plant biomass was harvested from each plot after sampling, and regression models were used to assess the relationship between biomass proxies and actual aboveground biomass. We found that cover and NDVI were equally effective at estimating biomass. However, the relationship between either biomass proxy and actual biomass varied amongst years, and this was related to the amount of precipitation. In wetter years, proxy-biomass relationships were steeper than in drier years. These results indicate that using the same proxy-biomass relationship across different years or precipitation regimes may not be valid and may introduce systematic error into biomass estimations in long-term studies or precipitation manipulation experiments.

KW - Aboveground plant biomass

KW - Field spectroscopy

KW - Interannual validity

KW - Long-term studies

KW - NDVI

KW - Precipitation

KW - Proxy-biomass relationship

KW - Visual cover estimation

UR - http://www.scopus.com/inward/record.url?scp=85018924506&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85018924506&partnerID=8YFLogxK

U2 - 10.1016/j.ecolind.2017.04.011

DO - 10.1016/j.ecolind.2017.04.011

M3 - Article

AN - SCOPUS:85018924506

VL - 79

SP - 355

EP - 360

JO - Ecological Indicators

JF - Ecological Indicators

SN - 1470-160X

ER -