Published March 2019 | Version v1
Journal article

Climate-phenology-hydrology interactions in northern high latitudes: Assessing the value of remote sensing data in catchment ecohydrological studies

  • 1. Northern Rivers Institute, School of Geosciences, University of Aberdeen, Scotland AB243UF (United Kingdom)
  • 2. Department of Geography, Humboldt University Berlin (Germany)
  • 3. IGB Leibniz Institute of Freshwater Ecology and Inland Fisheries (Germany)
  • 4. Department of Geography, Trent University, 1600 West Bank Drive, Peterborough, ON K9J 7B8 (Canada)
  • 5. School of Geography and Earth Sciences, McMaster University, 1280 Main St. W, Hamilton, Ontario L8S 4 K1 (Canada)
  • 6. Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå SE-90183 (Sweden)
  • 7. Department of Geosciences, Boise State University, 1910 University Drive, Boise, ID 83725-1535 (United States)
  • 8. National Hydrology Research Centre, Environment Canada, 11 Innovation Blvd., Saskatoon, Saskatchewan S7N 3H5 (Canada)

Description

Highlights: • We examined the climate-vegetation-hydrology interactions in northern catchments. • Regional climate assimilation data are useful for local ecohydrological studies. • Pre-season temperature had stronger influence on phenology than precipitation. • Streamflow decline corresponded to advanced green-up and extended growing seasons. • Global warming appears to be affecting ecohydrology strongest at colder sites. -- Abstract: We assessed the hydrological implications of climate effects on vegetation phenology in northern environments by fusion of data from remote-sensing and local catchment monitoring. Studies using satellite data have shown earlier and later dates for the start (SOS) and end of growing seasons (EOS), respectively, in the Northern Hemisphere over the last 3 decades. However, estimates of the change greatly depend on the satellite data utilized. Validation with experimental data on climate-vegetation-hydrology interactions requires long-term observations of multiple variables which are rare and usually restricted to small catchments. In this study, we used two NDVI (normalized difference vegetation index) products (at ~25 & 0.5 km spatial resolutions) to infer SOS and EOS for six northern catchments, and then investigated the likely climate impacts on phenology change and consequent effects on catchment water yield, using both assimilated data (GLDAS: global land data assimilation system) and direct catchment observations. The major findings are: (1) The assimilated air temperature compared well with catchment observations (regression slopes and R2 close to 1), whereas underestimations of summer rainstorms resulted in overall underestimations of precipitation (regression slopes of 0.3–0.7, R2 ≥ 0.46). (2) The two NDVI products inferred different vegetation phenology characteristics. (3) Increased mean pre-season temperature significantly influenced the advance of SOS and delay of EOS. The precipitation influence was weaker, but delayed SOS corresponding to increased pre-season precipitation at most sites can be related to later snow melting. (4) Decreased catchment streamflow over the last 15 years could be related to the advance in SOS and extension of growing seasons. Greater streamflow reductions in the cold sites than the warm ones imply stronger climate warming impacts on vegetation and hydrology in colder northerly environments. The methods used in this study have potential for better understanding interactions between vegetation, climate and hydrology in observation-scarce regions.

Additional details

Additional titles

Augmented title (English)
Vegetation phenology;Climate;Hydrology;Temperature;Precipitation;Streamflow

Identifiers

DOI
10.1016/j.scitotenv.2018.11.361;
PII
S004896971834717X;

Publishing Information

Journal Title
Science of the Total Environment
Journal Volume
656
Journal Page Range
p. 19-28
ISSN
0048-9697
CODEN
STENDL

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55103707
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
ASSIMILATION; CLIMATES; CLIMATIC CHANGE; HYDROLOGY; INTERACTIONS; MELTING; MONITORING; PHENOLOGY; PLANTS; PRECIPITATION; REGRESSION ANALYSIS; SEASONS; SNOW; SPATIAL RESOLUTION; VALIDATION
Descriptors DEC
ATMOSPHERIC PRECIPITATIONS; MATHEMATICS; PHASE TRANSFORMATIONS; RESOLUTION; SEPARATION PROCESSES; STATISTICS; TESTING

Optional Information

Copyright
Copyright (c) 2018 Elsevier B.V. All rights reserved.