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Detecting changes in biomass productivity in a different land management regimes in drylands using satellite‐derived vegetation index
Author(s) -
Helman D.,
Mussery A.,
Lensky I. M.,
Leu S.
Publication year - 2014
Publication title -
soil use and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.709
H-Index - 81
eISSN - 1475-2743
pISSN - 0266-0032
DOI - 10.1111/sum.12099
Subject(s) - normalized difference vegetation index , biomass (ecology) , environmental science , productivity , vegetation (pathology) , enhanced vegetation index , precipitation , afforestation , land use , hydrology (agriculture) , physical geography , grassland , primary production , leaf area index , agronomy , agroforestry , ecosystem , vegetation index , ecology , geography , meteorology , geology , biology , medicine , geotechnical engineering , pathology , economics , macroeconomics
Abstract We investigated the use of a satellite‐derived vegetation index to detect changes in biomass productivity in different land management regimes in drylands of the Northern Negev. Two well‐documented management regimes, conservation and afforestation using a contour trenching technique were monitored. Biomass data on annual vegetation were collected from field survey and compared to a time series of the Normalized Difference Vegetation Index ( NDVI ). A significant relationship between NDVI and biomass ( r = 0.83, P < 0.01) confirmed the applicability of satellite information to monitoring biomass production in this low productivity area. However, a strong positive relationship between NDVI and precipitation ( r = 0.96 ± 0.01, P < 0.001) prevented the conventional use of trend analysis to detect changes in biomass productivity. Trends in the NDVI and precipitation use efficiency were similar in both sites due to a rainfall effect. Use of a reference site revealed the magnitude and direction of change in biomass productivity in the different land management regimes. Measures of soil organic matter confirmed these differences between the two managed sites and the reference site. We suggest that the use of abandoned lands for a reference may enhance the ability to detect changes in biomass productivity in drylands.