4.7 Article

Latitudinal gradient of spruce forest understory and tundra phenology in Alaska as observed from satellite and ground-based data

期刊

REMOTE SENSING OF ENVIRONMENT
卷 177, 期 -, 页码 160-170

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2016.02.020

关键词

Autumn phonology; Satellite SOS and EOS; Radiative transfer analysis; Alaska; Time-lapse camera; Tundra; Boreal forest; Understory vegetation

资金

  1. Environment Research and Technology Development Fund of the Ministry of the Environment [RFa-1201]
  2. JAMSTEC-IARC Collaboration Study (JICS)
  3. Japan Society for the Promotion of Science (JSPS) KAKENHI Grant [25281014, 20281003]
  4. National Science Foundation [1048361]
  5. National Research Foundation of Korea Grant from the Korean Government (MSIP) [NRF-C1ABA001-2011-0021063, KOPRI-PN15081]
  6. NERC [NE/P002552/1] Funding Source: UKRI
  7. Natural Environment Research Council [NE/P002552/1] Funding Source: researchfish
  8. Directorate For Geosciences
  9. Office of Polar Programs (OPP) [1107892, 1503912] Funding Source: National Science Foundation
  10. Grants-in-Aid for Scientific Research [25281003, 25281014, 26281012] Funding Source: KAKEN

向作者/读者索取更多资源

The latitudinal gradient of the start of the growing season (SOS) and the end of the growing season (EOS) were quantified in Alaska (61 degrees N to 71 degrees N) using satellite-based and ground-based datasets. The Alaskan evergreen needleleaf forests are sparse and the understory vegetation has a substantial impact on the satellite signal. We evaluated SOS and EOS of understory and tundra vegetation using time-lapse camera images. From the comparison of three SOS algorithms for determining SOS from two satellite datasets (SPOT-VEGETATION and Terra-MODIS), we found that the satellite-based SOS timing was consistent with the leaf emergence of the forest under story and tundra vegetation. The ensemble average of SOS over all satellite algorithms can be used as a measure of spring leaf emergence for understory and tundra vegetation. In contrast, the relationship between the ground-based and satellite-based EOSs was not as strong as that of SOS both for boreal forest and tundra sites because of the large biases between those two EOSs (19 to 26 days). The satellite-based EOS was more relevant to snowfall events than the senescence of understory or tundra. The plant canopy radiative transfer simulation suggested that 84-86% of the NDVI seasonal amplitude could be a reasonable threshold for the EOS determination. The latitudinal gradients of SOS and EOS evaluated by the satellite and ground data were consistent and the satellite derived SOS and EOS were 3.5 to 5.7 days degree(-1) and -2.3 to -2.7 days degree(-1), which corresponded to the spring (May) temperature sensitivity of -2.5 to -3.9 days degrees C-1 in SOS and the autumn (August and September) temperature sensitivity of 3.0 to 4.6 days degrees C-1 in EOS. This demonstrates the possible impact of phenology in spruce forest understory and tundra ecosystems in response to climate change in the warming Artic and sub-Arctic regions. (C) 2016 The Authors. Published by Elsevier Inc.

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