Determinants of woody cover in African savannas

[1]  Niall P. Hanan,et al.  Tree–grass coexistence in savannas revisited – insights from an examination of assumptions and mechanisms invoked in existing models , 2004 .

[2]  Florian Jeltsch,et al.  Ecological buffering mechanisms in savannas: A unifying theory of long-term tree-grass coexistence , 2000, Plant Ecology.

[3]  Joanna Isobel House,et al.  Conundrums in mixed woody–herbaceous plant systems , 2003 .

[4]  B. Walker,et al.  Predicting savanna vegetation structure on the basis of plant available moisture (PAM) and plant available nutrients (PAN): a case study from Australia , 2003 .

[5]  B. Cade,et al.  A gentle introduction to quantile regression for ecologists , 2003 .

[6]  F. I. Woodward,et al.  The importance of low atmospheric CO2 and fire in promoting the spread of grasslands and savannas , 2003 .

[7]  Guillaume Simioni,et al.  TREE LAYER SPATIAL STRUCTURE CAN AFFECT SAVANNA PRODUCTION AND WATER BUDGET: RESULTS OF A 3‐D MODEL , 2003 .

[8]  F. Woodward,et al.  What controls South African vegetation — climate or fire? , 2003 .

[9]  M. Rietkerk,et al.  EFFECTS OF FIRE AND HERBIVORY ON THE STABILITY OF SAVANNA ECOSYSTEMS , 2003 .

[10]  G. McPherson,et al.  Changing precipitation regimes and terrestrial ecosystems : a North American perspective , 2003 .

[11]  R. B. Jackson,et al.  Ecosystem carbon loss with woody plant invasion of grasslands , 2002, Nature.

[12]  Grace S. Chiu.  Bent-Cable Regression for Assessing Abruptness of Change , 2002 .

[13]  Michael White,et al.  Case Study of Australia , 2001, Vessel-Source Pollution and Coastal State Jurisdiction.

[14]  Joanna Isobel House,et al.  Climate change 2001 : synthesis report , 2001 .

[15]  S. Schneider,et al.  Climate Change 2001: Synthesis Report: A contribution of Working Groups I, II, and III to the Third Assessment Report of the Intergovernmental Panel on Climate Change , 2001 .

[16]  G. De’ath,et al.  CLASSIFICATION AND REGRESSION TREES: A POWERFUL YET SIMPLE TECHNIQUE FOR ECOLOGICAL DATA ANALYSIS , 2000 .

[17]  S. Higgins,et al.  Fire, resprouting and variability: a recipe for grass–tree coexistence in savanna , 2000 .

[18]  R. B. Jackson,et al.  Global biodiversity scenarios for the year 2100. , 2000, Science.

[19]  Jose M. Cardoso Pereira,et al.  An assessment of vegetation fire in Africa (1981–1991): Burned areas, burned biomass, and atmospheric emissions , 1999 .

[20]  Nicholas C. Collins,et al.  TREE REGRESSION ANALYSIS ON THE NESTING HABITAT OF SMALLMOUTH BASS , 1999 .

[21]  R. Scholes,et al.  Tree-grass interactions in Savannas , 1997 .

[22]  R. Koenker.  Confidence Intervals for Regression Quantiles , 1994 .

[23]  S. McNaughton.  The propagation of disturbance in savannas through food webs , 1992 .

[24]  R. Koenker,et al.  An interior point algorithm for nonlinear quantile regression , 1996 .

[25]  R. Koenker,et al.  Computing regression quantiles , 1987 .

[26]  F. White.  The vegetation of Africa : a descriptive memoir to accompany the Unesco/AETFAT/UNSO vegetation map of Africa , 1985 .

[27]  Leo Breiman,et al.  Classification and Regression Trees , 1984 .

[28]  B. Huntley,et al.  Ecology of Tropical Savannas , 1987, Ecological Studies.

[29]  B. Walker,et al.  Aspects of the Stability and Resilience of Savanna Ecosystems , 1982 .

[30]  C. S. Holling,et al.  STABILITY OF SEMI-ARID SAVANNA GRAZING SYSTEMS , 1981 .

[31]  D. Mueller‐Dombois,et al.  Ecology of Tropical and Subtropical Vegetation. , 1972 .