Spatial explorations of land use change and grain production in China

By Peter H. Verburg, Youqi Chen, T. Veldkamp. 2000

137 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Agricultural and Biological Sciences, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/e5c9df2a3da7509732ee116a1e6ad5f93981538a

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. A. Veldkamp
2. Peter H. Verburg
3. Munir A. Hanjra
4. A. Angelsen

In General Agricultural and Biological Sciences

1. Peter H. Verburg
2. Victoria O. Espaldon
3. A. Veldkamp
4. Christoph Müller
5. Munir A. Hanjra
6. Thomas W. Hertel
7. Li An

In Global and Planetary Change

1. Peter H. Verburg
2. A. Veldkamp
3. Kathleen Neumann
4. Christoph Müller
5. Elke Stehfest
6. Li An
7. A. Angelsen

Citations in the corpus

• Cultivated land conversion and potential agricultural productivity in China (2006, unknown): “Another group of scholars claim the move is critical to maintaining national food security (Brown, 1995; Yang and Li, 2000; Verburg et al., 2000).”
• Water management and crop production for food security in China: A review (2009, background): “Maintaining environmental quality should therefore receive more emphasis than increasing production (Verburg et al., 2000).”
• Challenges in using land use and land cover data for global change studies (2011, background): “…use systems may be further elaborated by using available information on livestock densities (van de Steeg et al., 2010), production efficiencies (Verburg et al., 2000), crop types (Monfreda et al., 2008), cropping periods (Sacks et al., 2010), remoteness and land management (e.g., fertilizer…”
• The yield gap of global grain production: A spatial analysis (2010, background): “contribution to the non-urban household income whereas off-farm activities are the 16 primary income source, which tends to be associated with lower agricultural efficiencies 17 (Verburg et al., 2000; Goodwin and Mishra, 2004; Paul and Nehring, 2005).”
• Modeling the Spatial Dynamics of Regional Land Use: The CLUE-S Model (2002, methodology): “Examples of this type of model are water balance models (Schulze 2000), nutrient balance models (Priess and Koning 2001, Smaling and Fresco 1993) and erosion/sedimentation models (Schoorl and Veldkamp 2000).”