Study on regional responses of pan-Arctic terrestrial ecosystems to recent climate variability using satellite remote sensing
I applied a satellite remote sensing based production efficiency model (PEM) using an integrated AVHRR and MODIS FPAR/LAI time series with a regionally corrected NCEP/NCAR reanalysis surface meteorology and NASA/GEWEX shortwave solar radiation inputs to assess annual terrestrial net primary producti...
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University of Montana
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ftproquest:oai:pqdtoai.proquest.com:3355757 2023-05-15T14:29:22+02:00 Study on regional responses of pan-Arctic terrestrial ecosystems to recent climate variability using satellite remote sensing Zhang, Ke 2009-01-01 00:00:01.0 http://pqdtopen.proquest.com/#viewpdf?dispub=3355757 ENG eng University of Montana http://pqdtopen.proquest.com/#viewpdf?dispub=3355757 Ecology|Hydrologic sciences|Remote sensing thesis 2009 ftproquest 2021-03-13T17:40:01Z I applied a satellite remote sensing based production efficiency model (PEM) using an integrated AVHRR and MODIS FPAR/LAI time series with a regionally corrected NCEP/NCAR reanalysis surface meteorology and NASA/GEWEX shortwave solar radiation inputs to assess annual terrestrial net primary productivity (NPP) for the pan-Arctic basin and Alaska from 1983 to 2005. I developed a satellite remote sensing based evapotranspiration (ET) algorithm using GIMMS NDVI with the above meteorology inputs to assess spatial patterns and temporal trends in ET over the pan-Arctic region. I then analyzed associated changes in the regional water balance defined as the difference between precipitation (P) and ET. I finally analyzed the effects of regional climate oscillations on vegetation productivity and the regional water balance. The results show that low temperature constraints on Boreal-Arctic NPP are decreasing by 0.43% per year (P < 0.001), whereas a positive trend in vegetation moisture constraints of 0.49% per year ( P = 0.04) are offsetting the potential benefits of longer growing seasons and contributing to recent drought related disturbances in NPP. The PEM simulations of NPP seasonality, annual anomalies and trends are similar to stand inventory network measurements of boreal aspen stem growth ( r = 0.56; P = 0.007) and atmospheric CO2 measurement based estimates of the timing of growing season onset ( r = 0.78; P < 0.001). The simulated monthly ET results agree well (RMSE=8.3 mm month-1; R2=0.89) with tower measurements for regionally dominant land cover types. Generally positive trends in ET, precipitation and available river discharge measurements imply that the pan-Arctic terrestrial water cycle is intensifying. Increasing water deficits occurred in some boreal and temperate grassland regions, which agree with regional drought records and recent satellite observations of vegetation browning and productivity decreases. Climate oscillations including Arctic Oscillation and Pacific Decadal Oscillation influence NPP by regulating seasonal patterns of low temperature and moisture constraints to photosynthesis. The pan-Arctic water balance is changing in complex ways in response to climate change and variability, with direct linkages to terrestrial carbon and energy cycles. Consequently, drought induced NPP decreases may become more frequent and widespread, though the occurrence and severity of drought events will depend on future water cycle patterns. Thesis Arctic Basin Arctic Climate change Alaska PQDT Open: Open Access Dissertations and Theses (ProQuest) Arctic Browning ENVELOPE(164.050,164.050,-74.617,-74.617) Pacific |
institution |
Open Polar |
collection |
PQDT Open: Open Access Dissertations and Theses (ProQuest) |
op_collection_id |
ftproquest |
language |
English |
topic |
Ecology|Hydrologic sciences|Remote sensing |
spellingShingle |
Ecology|Hydrologic sciences|Remote sensing Zhang, Ke Study on regional responses of pan-Arctic terrestrial ecosystems to recent climate variability using satellite remote sensing |
topic_facet |
Ecology|Hydrologic sciences|Remote sensing |
description |
I applied a satellite remote sensing based production efficiency model (PEM) using an integrated AVHRR and MODIS FPAR/LAI time series with a regionally corrected NCEP/NCAR reanalysis surface meteorology and NASA/GEWEX shortwave solar radiation inputs to assess annual terrestrial net primary productivity (NPP) for the pan-Arctic basin and Alaska from 1983 to 2005. I developed a satellite remote sensing based evapotranspiration (ET) algorithm using GIMMS NDVI with the above meteorology inputs to assess spatial patterns and temporal trends in ET over the pan-Arctic region. I then analyzed associated changes in the regional water balance defined as the difference between precipitation (P) and ET. I finally analyzed the effects of regional climate oscillations on vegetation productivity and the regional water balance. The results show that low temperature constraints on Boreal-Arctic NPP are decreasing by 0.43% per year (P < 0.001), whereas a positive trend in vegetation moisture constraints of 0.49% per year ( P = 0.04) are offsetting the potential benefits of longer growing seasons and contributing to recent drought related disturbances in NPP. The PEM simulations of NPP seasonality, annual anomalies and trends are similar to stand inventory network measurements of boreal aspen stem growth ( r = 0.56; P = 0.007) and atmospheric CO2 measurement based estimates of the timing of growing season onset ( r = 0.78; P < 0.001). The simulated monthly ET results agree well (RMSE=8.3 mm month-1; R2=0.89) with tower measurements for regionally dominant land cover types. Generally positive trends in ET, precipitation and available river discharge measurements imply that the pan-Arctic terrestrial water cycle is intensifying. Increasing water deficits occurred in some boreal and temperate grassland regions, which agree with regional drought records and recent satellite observations of vegetation browning and productivity decreases. Climate oscillations including Arctic Oscillation and Pacific Decadal Oscillation influence NPP by regulating seasonal patterns of low temperature and moisture constraints to photosynthesis. The pan-Arctic water balance is changing in complex ways in response to climate change and variability, with direct linkages to terrestrial carbon and energy cycles. Consequently, drought induced NPP decreases may become more frequent and widespread, though the occurrence and severity of drought events will depend on future water cycle patterns. |
format |
Thesis |
author |
Zhang, Ke |
author_facet |
Zhang, Ke |
author_sort |
Zhang, Ke |
title |
Study on regional responses of pan-Arctic terrestrial ecosystems to recent climate variability using satellite remote sensing |
title_short |
Study on regional responses of pan-Arctic terrestrial ecosystems to recent climate variability using satellite remote sensing |
title_full |
Study on regional responses of pan-Arctic terrestrial ecosystems to recent climate variability using satellite remote sensing |
title_fullStr |
Study on regional responses of pan-Arctic terrestrial ecosystems to recent climate variability using satellite remote sensing |
title_full_unstemmed |
Study on regional responses of pan-Arctic terrestrial ecosystems to recent climate variability using satellite remote sensing |
title_sort |
study on regional responses of pan-arctic terrestrial ecosystems to recent climate variability using satellite remote sensing |
publisher |
University of Montana |
publishDate |
2009 |
url |
http://pqdtopen.proquest.com/#viewpdf?dispub=3355757 |
long_lat |
ENVELOPE(164.050,164.050,-74.617,-74.617) |
geographic |
Arctic Browning Pacific |
geographic_facet |
Arctic Browning Pacific |
genre |
Arctic Basin Arctic Climate change Alaska |
genre_facet |
Arctic Basin Arctic Climate change Alaska |
op_relation |
http://pqdtopen.proquest.com/#viewpdf?dispub=3355757 |
_version_ |
1766303397429903360 |