Arid
DOI10.5194/bg-12-4407-2015
Does EO NDVI seasonal metrics capture variations in species composition and biomass due to grazing in semi-arid grassland savannas?
Olsen, J. L.1; Miehe, S.2; Ceccato, P.3; Fensholt, R.4
通讯作者Olsen, J. L.
来源期刊BIOGEOSCIENCES
ISSN1726-4170
EISSN1726-4189
出版年2015
卷号12期号:14页码:4407-4419
英文摘要

Most regional scale studies of vegetation in the Sahel have been based on Earth observation (EO) imagery due to the limited number of sites providing continuous and long term in situ meteorological and vegetation measurements. From a long time series of coarse resolution normalized difference vegetation index (NDVI) data a greening of the Sahel since the 1980s has been identified. However, it is poorly understood how commonly applied remote sensing techniques reflect the influence of extensive grazing (and changes in grazing pressure) on natural rangeland vegetation. This paper analyses the time series of Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI metrics by comparing it with data from the Widou Thiengoly test site in northern Senegal. Field data include grazing intensity, end of season standing biomass (ESSB) and species composition from sizeable areas suitable for comparison with moderate coarse resolution satellite imagery. It is shown that sampling plots excluded from grazing have a different species composition characterized by a longer growth cycle as compared to plots under controlled grazing or communal grazing. Also substantially higher ESSB is observed for grazing exclosures as compared to grazed areas, substantially exceeding the amount of biomass expected to be ingested by livestock for this area. The seasonal integrated NDVI (NDVI small integral; capturing only the signal inherent to the growing season recurrent vegetation), derived using absolute thresholds to estimate start and end of growing seasons, is identified as the metric most strongly related to ESSB for all grazing regimes. However plot-pixel comparisons demonstrate how the NDVI/ESSB relationship changes due to grazinginduced variation in annual plant species composition and the NDVI values for grazed plots are only slightly lower than the values observed for the ungrazed plots. Hence, average ESSB in ungrazed plots since 2000 was 0.93 t ha(-1), compared to 0.51 t ha(-1) for plots subjected to controlled grazing and 0.49 t ha(-1) for communally grazed plots, but the average integrated NDVI values for the same period were 1.56, 1.49, and 1.45 for ungrazed, controlled and communal, respectively, i.e. a much smaller difference. This indicates that a grazing-induced development towards less ESSB and shorter-cycled annual plants with reduced ability to turn additional water in wet years into biomass is not adequately captured by seasonal NDVI metrics.


类型Article
语种英语
国家Denmark ; Germany ; USA
收录类别SCI-E
WOS记录号WOS:000358800900015
WOS关键词GLOBAL PRIMARY PRODUCTION ; TERM VEGETATION TRENDS ; AFRICAN SAHEL ; TIME-SERIES ; AVHRR NDVI ; PHOTOSYNTHETIC ACTIVITY ; RAINFALL VARIABILITY ; MODIS ; RANGELAND ; DYNAMICS
WOS类目Ecology ; Geosciences, Multidisciplinary
WOS研究方向Environmental Sciences & Ecology ; Geology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/186207
作者单位1.Danish Energy Agcy, Ctr Climate & Energy Econ, DK-1256 Copenhagen K, Denmark;
2.Univ Marburg, Fac Geog, D-35032 Marburg, Germany;
3.Columbia Univ, Int Res Inst, Palisades, NY 10964 USA;
4.Univ Copenhagen, Dept Geosci & Nat Resource Management, DK-1958 Frederiksberg C, Denmark
推荐引用方式
GB/T 7714
Olsen, J. L.,Miehe, S.,Ceccato, P.,et al. Does EO NDVI seasonal metrics capture variations in species composition and biomass due to grazing in semi-arid grassland savannas?[J],2015,12(14):4407-4419.
APA Olsen, J. L.,Miehe, S.,Ceccato, P.,&Fensholt, R..(2015).Does EO NDVI seasonal metrics capture variations in species composition and biomass due to grazing in semi-arid grassland savannas?.BIOGEOSCIENCES,12(14),4407-4419.
MLA Olsen, J. L.,et al."Does EO NDVI seasonal metrics capture variations in species composition and biomass due to grazing in semi-arid grassland savannas?".BIOGEOSCIENCES 12.14(2015):4407-4419.
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