Cristin-resultat-ID: 1713077
Sist endret: 2. november 2019 21:27
NVI-rapporteringsår: 2019
Resultat
Vitenskapelig artikkel
2019

Varying climate response across the tundra, forest-tundra and boreal forest biomes in northern West Siberia

Bidragsytere:
  • Martin Miles
  • Victoria Miles og
  • Igor Ezau

Tidsskrift

Environmental Research Letters
ISSN 1748-9326
e-ISSN 1748-9326
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2019
Publisert online: 2019
Volum: 14:075008
Hefte: 7
Sider: 1 - 12
Open Access

Importkilder

Scopus-ID: 2-s2.0-85072052454

Finansiering

  • Norges forskningsråd
    Prosjektkode: 247468

Beskrivelse Beskrivelse

Tittel

Varying climate response across the tundra, forest-tundra and boreal forest biomes in northern West Siberia

Sammendrag

Satellite studies using the normalized difference vegetation index (NDVI) have revealed changes in northern Eurasian vegetation productivity in recent decades, including greening in tundra and browning in the boreal forests. However, apparent NDVI changes and relationships to climate depend on the temporal and spatial sampling and the biome and forest-land cover type studied. Here we perform a consistent analysis of NDVI and climate across four bioclimatic zones (tundra, foresttundra, northern and middle taiga) in northern West Siberia (NWS), further stratified into eight forest-land cover types.Weutilize NDVI data from the Moderate Resolution Imaging Spectroradiometer and climate reanalysis data from 2000 to 2016, a period including the record warm anomaly in 2016 (+2 °C–5 °CJune–July surface air temperature (SAT) acrossNWS). Statistically significant (α=0.05) correlations were found for two bivariate relationships at the biome level: between NDVImax and June–July surface air temperature (SAT)(r∼+0.79), and between middle taiga NDVImax and July precipitation (r∼+0.48).No significant statistical relationships were found for the northern taiga and forest-tundra biomes. However, within these biomes we found that deciduous needle-leaf (larch) NDVImax is significantly correlated with July temperature (r∼+0.48). Qualitatively, spatial composites of NDVI and climate variables were effective for revealing insights and patterns of these relationships at the sub-regional scale. The spatial heterogeneity of NDVI patterns indicates divergent reactions of specific types of vegetation, as well as local effects that are clearly important on the background of a regional climate response.

Bidragsytere

Martin Miles

  • Tilknyttet:
    Forfatter
    ved University of Colorado at Boulder
  • Tilknyttet:
    Forfatter
    ved NORCE Klima ved NORCE Norwegian Research Centre AS

Victoria Miles

  • Tilknyttet:
    Forfatter
    ved Nansen Senter for Miljø og Fjernmåling

Igor Ezau

  • Tilknyttet:
    Forfatter
    ved Nansen Senter for Miljø og Fjernmåling
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