Determining suitable locations for seed transfer under climate change: A global quantitative method

New Forests

Volumn 43, Issue 5-6, 2012, Pages 581-599

  Potter, Kevin M ^a   Hargrove, William W ^b  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

^b USDA FOREST SERVICE   (United States)

Author keywords

Conservation genetics; Human assisted migration; Multivariate clustering; Quantitative ecoregions; Restoration; Seed sources

Indexed keywords

CHANGING CLIMATE; CURRENT DISTRIBUTION; DATA SPACE; ECOREGIONS; EMISSIONS SCENARIOS; ENVIRONMENTAL CHARACTERISTIC; ENVIRONMENTAL CONDITIONS; ENVIRONMENTAL VARIABLES; FOREST PRODUCTIVITY; GLOBAL CIRCULATION MODEL; GLOBAL MAP; HUMAN-ASSISTED MIGRATION; LOCAL CONDITIONS; LOCAL POPULATIONS; MULTIVARIATE CLUSTERING; QUANTITATIVE METHOD; SEED SOURCE; SEED TRANSFER; SPACE-BASED; STATISTICAL CLUSTERING TECHNIQUE; TREE SPECIES;

CELLS; CYTOLOGY; IMAGE RECONSTRUCTION; REFORESTATION; RESTORATION;

CLIMATE CHANGE;

ADAPTATION; AFFORESTATION; ANTHROPOGENIC EFFECT; CLIMATE CHANGE; CLIMATE EFFECT; CONSERVATION GENETICS; DATA SET; DETECTION METHOD; ECOREGION; ENVIRONMENTAL CONDITIONS; FOREST ECOSYSTEM; GENERAL CIRCULATION MODEL; MAP; MIGRATION; MULTIVARIATE ANALYSIS; POPULATION DISTRIBUTION; QUANTITATIVE ANALYSIS; REFORESTATION; RESTORATION ECOLOGY; RISK ASSESSMENT;

EID: 84865434924     PISSN: 01694286     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11056-012-9322-z     Document Type: Article

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