SPECIAL ISSUE: The Dynamics and Value of Ecosystem Services: Integrating Economic and Ecological Perspectives Global estimates of market and non-market values derived from nighttime satellite…

By Paul C. Sutton, Robert Costanza. 2002

474 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/6996ccba2188127fc2499d8b1b22bf8aed898689

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Xi Chen
2. D. Pearce
3. G. Atkinson
4. Sam Thompson
5. S. Abdallah
6. N. Marks
7. Robert Costanza
8. Greg Brown

In Global and Planetary Change

1. Robert Costanza
2. Paul C. Sutton
3. Ida Kubiszewski
4. Sharolyn Anderson
5. Tilottama Ghosh
6. Sam Thompson
7. S. Abdallah
8. N. Marks

Citations in the corpus

• Aid and Growth at the Regional Level (2015, unknown): “Such data have been introduced to the literature in Elvidge et al. (1997) and Sutton and Costanza (2002), and are frequently used in the recent economics literature (probably most prominently in Henderson et al., 2012).”
• Downscaling and geo-spatial gridding of socio-economic projections from the IPCC Special Report on Emissions Scenarios (SRES) (2004, methodology): “By using the correlations, a GDP density map based on the distribution of nocturnal lighting has been developed (Sutton and Costanza, 2002).”
• A review of methods, data, and models to assess changes in the value of ecosystem services from land degradation and restoration (2016, background): “The Nighttime Lights (NTL) data products have been demonstrated to be good proxy measures of economic activity (Sutton and Costanza, 2002; Costanza et al., 2011c), building volume (Frolking et al.”
• Methods for mapping ecosystem service supply: a review (2012, background): “Valuation of ES through benefit transfer applies a monetary value to a land-cover map based on previous studies from sites having similar landcover types (Costanza et al. 1997; Kreuter et al. 2001; Sutton and Costanza 2002; Troy and Wilson 2006; Turner et al. 2007).”
• Estimating worldwide life satisfaction (2008, methodology): “In this way, a gross ESP can be calculated for each country (Sutton and Costanza, 2002) from which one can calculate either the ESP per capita or the ESP/km2.”
• Estimation of Gross Domestic Product at Sub-National Scales using Nighttime Satellite Imagery (2007, methodology): “…areas (Sutton et al., 2006), 7) Mapping fire and fire-prone areas (Cova et al., 2004), 8) Mapping marketed and non-marketed economic activity (Sutton and Costanza, 2002), 9) Characterizing impacts of anthropogenic nocturnal emissions on sea turtle breeding behavior (Salmon, 2005), and 10)…”
• Comparing Ecosystem Goods and Services Provided by Restored and Native Lands (2008, result): “Despite criticisms of Costanza and colleagues’ (1997) methodology, however, their results correlate well with other methods, such as the ecological footprint index (Sutton and Costanza 2002).”
• Global Biodiversity Conservation and the Alleviation of Poverty (2012, methodology): “For this first method, we used existing landcover- and service-specific ecosystem service value (ESV) estimates (Costanza et al. 1997) for all services except climate regulation and extrapolated to a land-cover map using an established technique (Sutton and Costanza 2002).”
• Global Conservation of Biodiversity and Ecosystem Services (2007, methodology): “Although our ESV data came from the only global data set currently available (Sutton and Costanza 2002), these estimates are subject to a variety of uncertainties (Costanza et al. 1997).”
• Sustainability of nations by indices: Comparative study between environmental sustainability index, ecological footprint and the emergy performance indices (2008, background): “The scientific community considers these two indices (theEF and ESI) as of bigger impact in the evaluation of the sustainability of countries (Jha and Bhanu-Murthy, 2003; Sutton and Costanza, 2002; Morse, 2004).”
• Forecasting China’s GDP at the pixel level using nighttime lights time series and population images (2017, methodology): “Based on statistical linear relationships between the amount of GDP and brightness of nighttime lights at the national or province/state level, the DMSP-OLS nighttime light imagery has been also utilized to spatially disaggregate GDP and produce global, continental, or national GDP maps with relativ”