Dynamic Causal Patterns of Desertification
By H. Geist, Eric F. Lambin. 2004
621 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Management, Monitoring, Policy and Law
View Paper: https://www.semanticscholar.org/paper/d65df415a229971040f857f0d50edffc01d6d42b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Global and Planetary Change
- Peter H. Verburg
- Patrick Meyfroidt
- Robert Costanza
- Thiago Fernando Rangel
- Paul C. Sutton
- J. Diniz-Filho
- Ida Kubiszewski
- Miguel B. Araújo
In Management, Monitoring, Policy and Law
- Patrick Meyfroidt
- Paul C. Sutton
- Peter H. Verburg
- Peter Messerli
- Ida Kubiszewski
- Sharolyn Anderson
- Robert Costanza
- Helen Briassoulis
Citations in the corpus
- Approaches and terminology for causal analysis in land systems science (2016, background): “INUS causes are familiar to land systems scientists, for example, in describing combinations or synergies of factors causing tropical deforestation and desertification (also called ‘chain-logical causation’) (Geist & Lambin, 2002, 2004).”
- Sustainable livelihoods in the global land rush? Archetypes of livelihood vulnerability and sustainability potentials. Keynote presentation. (2016, background): “Examples include studies on tropical deforestation (Geist and Lambin, 2002), desertification (Geist and Lambin, 2004), food insecurity (Misselhorn, 2005), swidden cultivation (Van Vliet et al., 2012), water crises (Srinivasan et al., 2012), trade impact on small-scale fisheries (Crona et al.,…”
- A review of methods, data, and models to assess changes in the value of ecosystem services from land degradation and restoration (2016, background): “poverty, decentralization, access to agricultural extension service, land cover changes, and commodity market access (Lambin et al., 2001; Geist and Lambin, 2004; Andersson et al., 2011; Von Braun et al., 2013).”
- Linking Land Change with Driving Forces and Actors: Four Conceptual Models (2010, background): “The same is true for generalizing the findings beyond the individual project (e.g., meta-analysis; Geist and Lambin 2004, Keys and McConnell 2005, Rudel 2008).”
- Conserving the Brazilian semiarid (Caatinga) biome under climate change (2012, background): “This area is known to be susceptible to desertification (Salazar et al. 2007), because of the coupled effects of increasing temperatures, reduction of precipitation, and land degradation (Darhoh 1998; Geist and Lambin 2004; Sivakumar 2007).”
- Combating Land Degradation and Desertification: The Land-Use Planning Quandary (2019, background): “Study area-specific theoretical frameworks are necessary to guide the situated description and analysis of the affected area for the purposes of LUP especially with respect to combating LDD [25,27,48,76].”
- The Economics of Land Degradation (2013, background): “…and anthropogenic Transport and earthmoving techniques, like trucks and tractors, as well as new processing and storage technologies, could lead to increased production and foster land degradation if not properly planned Geist and Lambin (2004) Population Density underlying No definite answer.”
- Conditions for sustainability of human-environment systems: Information, motivation, and capacity (2005, background): “Most of these studies have adopted a comparative perspective, seeking to identify patterns in sets of case studies that cover distinct regions or issue areas but are designed to answer similar questions, e.g., by conducting meta-analyses of a large number of cases (Geist and Lambin, 2002, 2004).”
- A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects (2017, positive): “…events, etc.) and ecological degradation (hydrological variation, soil erosion, etc.) have long-term effects that alter the natural landscape dynamics (Bakker et al., 2005; Geist & Lambin, 2004; Lambin, Geist, & Lepers, 2003; Li, Guangzhao, Xiaoping, & Xun, 2017; Okin, Murray, & Schlesinger, 2001).”
- Prediction of Land Use and Land Cover Changes for North Sumatra, Indonesia, Using an Artificial-Neural-Network-Based Cellular Automaton (2019, background): “On the other hand, long-term effects altering the landscape dynamics, as exhibited in [26,45,46], due to climate factors, such as global warming, extreme weather events, etc.”
- Socio-economic and biophysical determinants of land degradation in Vietnam: An integrated causal analysis at the national level (2014, background): “Although the general categories of land degradation causes have been reviewed (Geist and Lambin, 2004; Nkonya et al., 2011), comprehensive portfolios”