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Titolo:
Tree mortality in gap models: Application to climate change
Autore:
Keane, RE; Austin, M; Field, C; Huth, A; Lexer, MJ; Peters, D; Solomon, A; Wyckoff, P;
Indirizzi:
US Forest Serv, USDA, Rocky Mt Res Stn, Fire Sci Lab, Missoula, MT 59807 USA US Forest Serv Missoula MT USA 59807 Fire Sci Lab, Missoula, MT 59807 USA CSIRO, Div Wildlife & Ecol, Canberra, ACT 2601, Australia CSIRO Canberra ACT Australia 2601 e & Ecol, Canberra, ACT 2601, Australia Carnegie Inst Washington, Dept Plant Biol, Stanford, CA 94305 USA CarnegieInst Washington Stanford CA USA 94305 ol, Stanford, CA 94305 USA Univ Kassel, Ctr Environm Syst Res, D-34109 Kassel, Germany Univ Kassel Kassel Germany D-34109 onm Syst Res, D-34109 Kassel, Germany Univ Agr Sci, Inst Silviculture, A-1190 Vienna, Austria Univ Agr Sci Vienna Austria A-1190 Silviculture, A-1190 Vienna, Austria New Mexico State Univ, USDA ARS, Las Cruces, NM 88003 USA New Mexico StateUniv Las Cruces NM USA 88003 S, Las Cruces, NM 88003 USA US EPA, Western Ecol Div, Corvallis, OR 97333 USA US EPA Corvallis OR USA97333 , Western Ecol Div, Corvallis, OR 97333 USA Duke Univ, Dept Bot, Durham, NC 27705 USA Duke Univ Durham NC USA 27705Duke Univ, Dept Bot, Durham, NC 27705 USA
Titolo Testata:
CLIMATIC CHANGE
fascicolo: 3-4, volume: 51, anno: 2001,
pagine: 509 - 540
SICI:
0165-0009(200112)51:3-4<509:TMIGMA>2.0.ZU;2-W
Fonte:
ISI
Lingua:
ENG
Soggetto:
FOREST SUCCESSION MODELS; SIMULATION-MODEL; COMPUTER-MODEL; BOREAL FORESTS; GROWTH-MODEL; SPECIES COMPOSITION; ECOLOGICAL PROCESS; FIELD-MEASUREMENTS; SAPLING MORTALITY; SHADE TOLERANCE;
Tipo documento:
Review
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Physical, Chemical & Earth Sciences
Citazioni:
162
Recensione:
Indirizzi per estratti:
Indirizzo: Keane, RE US Forest Serv, USDA, Rocky Mt Res Stn, Fire Sci Lab, POB 8089, Missoula, MT 59807 USA US Forest Serv POB 8089 Missoula MT USA 59807 oula, MT 59807 USA
Citazione:
R.E. Keane et al., "Tree mortality in gap models: Application to climate change", CLIM CHANGE, 51(3-4), 2001, pp. 509-540

Abstract

Gap models are perhaps the most widely used class of individual-based treemodels used in ecology and climate change research. However, most gap model emphasize, in terms of process detail, computer code, and validation effort, tree growth with little attention to the simulation of plant death or mortality. Mortality algorithms have been mostly limited to general relationships because of sparse data on the causal mechanisms of mortality. If gap models are to be used to explore community dynamics under changing climates, the limitations and shortcomings of these mortality algorithms must be identified and the simulation of mortality must be improved. In this paper, we review the treatment of mortality in gap models, evaluate the relationships used to represent mortality in the current generation of gap models, andthen assess the prospects for making improvements, especially for applications involving global climate change. Three needs are identified to improvemortality simulations in gap models: (1) process-based empirical analyses are needed to create more climate-sensitive stochastic mortality functions,(2) fundamental research is required to quantify the biophysical relationships between mortality and plant dynamics, and (3) extensive field data areneeded to quantify, parameterize, and validate existing and future gap model mortality functions.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 22/09/20 alle ore 22:40:04