2008
DOI: 10.1016/j.rse.2008.04.012
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Evaluating the species energy relationship with the newest measures of ecosystem energy: NDVI versus MODIS primary production

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Cited by 75 publications
(61 citation statements)
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References 77 publications
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“…We found that GPP (best model R 2 ¼ 0.55) explained more variation in bird species richness than the three other MODIS-derived measures of primary productivity (NDVI, EVI, NPP). This finding is consistent with our results from a related study (Phillips et al 2008) that used a similar data set to evaluate the species-energy relationship across a gradient in vegetation life form and density. Gross primary production likely outperformed other measures in our study because it better predicts primary productivity in areas of sparse vegetation where spectral backscatter from bare ground results in NDVI underestimating productivity.…”
Section: Evaluation Of Species-energy Modelssupporting
confidence: 92%
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“…We found that GPP (best model R 2 ¼ 0.55) explained more variation in bird species richness than the three other MODIS-derived measures of primary productivity (NDVI, EVI, NPP). This finding is consistent with our results from a related study (Phillips et al 2008) that used a similar data set to evaluate the species-energy relationship across a gradient in vegetation life form and density. Gross primary production likely outperformed other measures in our study because it better predicts primary productivity in areas of sparse vegetation where spectral backscatter from bare ground results in NDVI underestimating productivity.…”
Section: Evaluation Of Species-energy Modelssupporting
confidence: 92%
“…The GPP and NPP estimates are simulated based on spectral data, climate, land cover, and vegetation characteristics. Phillips et al (2008) evaluated the four MODIS energy products and found that annual GPP explained more variation (54%) than the other products in breeding land bird species richness across North America, especially in places of sparse and dense vegetation, where the NDVI is known to have limitations.…”
Section: Energy Predictors Of Species Richnessmentioning
confidence: 99%
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“…As metrics of productive energy, we used remotely-sensed measurements of net primary productivity (NPP) from the NASA MODIS 17 dataset (http://www.ntsg.umt.edu/ modis/) projected at 2.5 min resolution [42] and actual evapotranspiration (AET) projected at 30 min resolution [43]. These metrics measure the interaction between energy, temperature and water balance in local environments, and are strongly correlated with global amphibian diversity [44].…”
Section: (C) Climatic Datamentioning
confidence: 99%