An ecohydrological approach to predicting regional woody species distribution patterns in dryland ecosystems

Advances in Water Resources

Volumn 33, Issue 2, 2010, Pages 215-230

  Franz, Trenton E ^a   Caylor, Kelly K ^a   Nordbotten, Jan M ^a,b   Rodríguez Iturbe, Ignacio ^a   Celia, Michael A ^a  

^a Princeton University   (United States)

^b UNIVERSITY OF BERGEN   (Norway)

Author keywords

Acacia; Climate change; Dryland; Ecohydrology; Kenya; Optimization; rainfall patterns

Indexed keywords

ACACIA SPECIES; ARRIVAL RATES; DATA SETS; DRYLAND; ECO-HYDROLOGY; GROWING SEASON; KENYA; MASS BALANCE; MODEL RESULTS; OPTIMALITY; RAINFALL PATTERNS; RAINFALL VARIABILITY; REGIONAL DISTRIBUTION; RELATIVE ABUNDANCE; RELATIVE IMPORTANCE; RIVER BASINS; SCALE PATTERN; SPECIES DISTRIBUTIONS; SPECIES SELECTION; TOTAL RAINFALL; VEGETATION PATTERN; WATER STRESS; WATER USE; WOODY SPECIES;

BIOCHEMICAL OXYGEN DEMAND; CLIMATE MODELS; GEOLOGIC MODELS; HYDROLOGY; OPTIMIZATION; STOCHASTIC MODELS; STORMS; VEGETATION; WATER SUPPLY;

CLIMATE CHANGE;

CLIMATE CHANGE; ECOHYDROLOGY; GROWING SEASON; MASS BALANCE; NUMERICAL MODEL; OPTIMIZATION; PRECIPITATION (CLIMATOLOGY); PREDICTION; RAINFALL; RIVER BASIN; SPATIAL DISTRIBUTION; STOCHASTICITY; STORM; TERRESTRIAL ECOSYSTEM; TRADE-OFF; TREE; WATER STRESS;

EWASO NGIRO BASIN; KENYA; RIFT VALLEY;

ACACIA; ACACIA TORTILIS; ACACIA XANTHOPHLOEA;

EID: 74149086683     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2009.12.003     Document Type: Article

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