Running SW - Search Results

1

Simulating the effects of climatic variation on stem carbon accumulation of a ponderosa pine stand: comparison with annual growth increment data.

Hunt ER Jr, Martin FC, Running SW. Hunt ER Jr, et al. Among authors: running sw. Tree Physiol. 1991 Jul-Sep;9(1_2):161-171. doi: 10.1093/treephys/9.1-2.161. Tree Physiol. 1991. PMID: 14972862

2

Simulating forest productivity and surface-atmosphere carbon exchange in the BOREAS study region.

Kimball JS, Thornton PE, White MA, Running SW. Kimball JS, et al. Among authors: running sw. Tree Physiol. 1997 Aug-Sep;17(8_9):589-599. doi: 10.1093/treephys/17.8-9.589. Tree Physiol. 1997. PMID: 14759832

3

FOREST-BGC, A general model of forest ecosystem processes for regional applications. II. Dynamic carbon allocation and nitrogen budgets.

Running SW, Gower ST. Running SW, et al. Tree Physiol. 1991 Jul-Sep;9(1_2):147-160. doi: 10.1093/treephys/9.1-2.147. Tree Physiol. 1991. PMID: 14972861

4

Simulating effects of fire on northern Rocky Mountain landscapes with the ecological process model FIRE-BGC.

Keane RE, Ryan KC, Running SW. Keane RE, et al. Among authors: running sw. Tree Physiol. 1996 Mar;16(3):319-31. doi: 10.1093/treephys/16.3.319. Tree Physiol. 1996. PMID: 14871733

5

Enhancement of understory productivity by asynchronous phenology with overstory competitors in a temperate deciduous forest.

Jolly WM, Nemani R, Running SW. Jolly WM, et al. Among authors: running sw. Tree Physiol. 2004 Sep;24(9):1069-71. doi: 10.1093/treephys/24.9.1069. Tree Physiol. 2004. PMID: 15234905

6

Regional assessment of boreal forest productivity using an ecological process model and remote sensing parameter maps.

Kimball JS, Keyser AR, Running SW, Saatchi SS. Kimball JS, et al. Among authors: running sw. Tree Physiol. 2000 Jun;20(11):761-775. doi: 10.1093/treephys/20.11.761. Tree Physiol. 2000. PMID: 12651512

7

Simulating the effects of climate change on the carbon balance of North American high-latitude forests.

Keyser AR, Kimball JS, Nemani RR, Running SW. Keyser AR, et al. Among authors: running sw. Glob Chang Biol. 2000 Dec;6(S1):185-195. doi: 10.1046/j.1365-2486.2000.06020.x. Epub 2002 Jan 5. Glob Chang Biol. 2000. PMID: 35026932

8

Joint structural and physiological control on the interannual variation in productivity in a temperate grassland: A data-model comparison.

Hu Z, Shi H, Cheng K, Wang YP, Piao S, Li Y, Zhang L, Xia J, Zhou L, Yuan W, Running S, Li L, Hao Y, He N, Yu Q, Yu G. Hu Z, et al. Glob Chang Biol. 2018 Jul;24(7):2965-2979. doi: 10.1111/gcb.14274. Epub 2018 May 8. Glob Chang Biol. 2018. PMID: 29665249

9

Modeled responses of terrestrial ecosystems to elevated atmospheric CO₂: a comparison of simulations by the biogeochemistry models of the Vegetation/Ecosystem Modeling and Analysis Project (VEMAP).

Pan Y, Melillo JM, McGuire AD, Kicklighter DW, Pitelka LF, Hibbard K, Pierce LL, Running SW, Ojima DS, Parton WJ, Schimel DS; Other VEMAP members. Pan Y, et al. Among authors: running sw. Oecologia. 1998 Apr;114(3):389-404. doi: 10.1007/s004420050462. Oecologia. 1998. PMID: 28307783

10

Woody tissue maintenance respiration of four conifers in contrasting climates.

Ryan MG, Gower ST, Hubbard RM, Waring RH, Gholz HL, Cropper WP Jr, Running SW. Ryan MG, et al. Among authors: running sw. Oecologia. 1995 Feb;101(2):133-140. doi: 10.1007/BF00317276. Oecologia. 1995. PMID: 28306783

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