Climate change mitigation: a spatial analysis of global land suitability for Clean Development Mechanism afforestation and reforestation

By R. Zomer, Antonio Trabucco, D. Bossio, Louis Verchot. 2008

1,035 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Forestry, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/8f1bb537b00f7d17efdc806bb922d2dc87f5bb48

How researchers see this paper

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

In Ecology, Evolution, Behavior and Systematics

1. M. Bowker
2. R. Ochoa-Hueso
3. Fernando T. Maestre
4. Guy F. Midgley
5. S. Soliveres
6. N. Gross
7. O. Bykova
8. Steven Higgins

In Forestry

1. Rattan Lal
2. G. Conti
3. Sandra Díaz

In Global and Planetary Change

1. Pete Smith
2. Guy F. Midgley
3. S. Cara
4. Sabine Fuss
5. J. Minx
6. W. Lamb
7. M. Callaghan
8. X. Morin

Citations in the corpus

• Tree effects on grass growth in savannas: competition, facilitation and the stress‐gradient hypothesis (2013, methodology): “…site, we also calculated precipitation over potential evapotranspiration (PPT/PET, an index often used to describe water availability in relation to temperature regimes), using PET values obtained from gridded data from the CGIAR-CSI Global-Aridity and Global-PET Database (Zomer et al. 2007, 2008).”
• A physiological analogy of the niche for projecting the potential distribution of plants (2012, methodology): “…variables are Nsoil (from Batjes, 2005), W, Q (monthly estimates from 2136 Journal of Biogeography 39, 2132–2145 ª 2012 Blackwell Publishing Ltd Trabucco & Zomer, 2010, which uses methods described by Zomer et al., 2007, 2008) and Tmean, Tmin, Tmax (monthly estimates from Hijmans et al., 2005).”
• Global land-use implications of first and second generation biofuel targets (2011, methodology): “The estimation of area potentials for biomass plantations followed an approach proposed by Zomer et al. (2008).”
• Soil fungal abundance and plant functional traits drive fertile island formation in global drylands (2018, methodology): “…levels (arid, semiarid and dry-subhumid) on the magnitude of fertile islands, we calculated the Aridity Index (AI, defined as precipitation/potential evapotranspiration) of each site as described in Zomer et al. (2008), who used data interpolation obtained from WorldClim (Hijmans et al. 2005).”
• Negative emissions—Part 2: Costs, potentials and side effects (2018, result): “Note that an earlier study by Zomer et al (2008) found only 760 Mha of globally available land that satisfied UNFCCC accounting conditions.”
• Aridity preferences alter the relative importance of abiotic and biotic drivers on plant species abundance in global drylands (2018, methodology): “We obtained the Aridity index from the Global Potential Evapotranspiration database (Zomer et al. 2008), which is based on interpolations provided by WorldClim (Hijmans et al. 2005).”
• Synthesis of global actual evapotranspiration from 1982 to 2019 (2020, methodology): “The mean global aridity index dataset was produced by (Zomer et al., 2008) using WorldClim global climate data.”