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Displaying 10,721 - 10,730 of 65,202 Publications- Global change drivers (GCDs) are expected to alter community structure and consequently, the services that ecosystems provide. Yet, few experimental investigations have examined effects of GCDs on plant community structure across multiple ecosystem types, and those that do exist present conflicting patterns. In an unprecedented global synthesis of over 100 experiments that manipulated factors linked to GCDs, we show that herbaceous plant community responses depend on experimental manipulation length and number of factors manipulated. We found that plant communities are fairly resistant to...AuthorsKimberly J. Komatsu, Meghan L. Avolio, Nathan P. Lemoine, Forest Isbell, Emily Grman, Gregory R. Houseman, Sally E. Koerner, David S. Johnson, Kevin R. Wilcox, Juha M. Alatalo, John P. Anderson, Rien Aerts, Sara G. Baer, Andrew H. Baldwin, Jonathan Bates, Carl Beierkuhnlein, R. Travis Belote, John Blair, Juliette M. G. Bloor, Patrick J. Bohlen, Edward W. Bork, Elizabeth H. Boughton, William D. Bowman, Andrea J. Britton, James F. Cahill, Enrique Chaneton, Nona R. Chiariello, Jimin Cheng, Scott L. Collins, J. Hans C. Cornelissen, Guozhen Du, Anu Eskelinen, Jennifer Firn, Bryan Foster, Laura Gough, Katherine Gross, Lauren M. Hallett, Xingguo Han, Harry Harmens, Mark J. Hovenden, Annika Jagerbrand, Anke Jentsch, Christel C. Kern, Kari Klanderud, Alan K. Knapp, Juergen Kreyling, Wei Li, Yiqi Luo, Rebecca L. McCulley, Jennie R. McLaren, J. Patrick Megonigal, John W. Morgan, Vladimir Onipchenko, Steven C. Pennings, Janet S. Prevéy, Jodi N. Price, Peter B. Reich, Clare H. Robinson, F. Leland Russell, Osvaldo E. Sala, Eric W. Seabloom, Melinda D. Smith, Nadejda A. Soudzilovskaia, Lara Souza, Katherine Suding, K. Blake Suttle, Tony Svejcar, David Tilman, Pedro Tognetti, Roy Turkington, Shannon White, Zhuwen Xu, Laura Yahdjian, Qiang Yu, Pengfei Zhang, Yunhai ZhangSourceProceedings of the National Academy of SciencesYear2019
- Fire management is increasingly used to manage forest stand structure and dynamics. Relatively intense fires can injure the tree stem and induce fire scar formation, a ecting subsequent tree growth and wood quality. Here, we consider the physiological e ects of fire scarring in white oak. Potential hydraulic conductivity, estimated from the mean vessel area and vessel number, was determined for growth rings formed before, during, and after the year of injury. We measured vessel anatomy using the ROXAS image analysis tool on the cross-sections of 14 white oaks of various ages with fire...AuthorsJustin R. Dee, Michael C. Stambaugh, Kevin T. Smith, Daniel C. DeyKeywordsSourceForestsYear2019
- We describe an individual-based model of spruce budworm moth migration founded on the premise that flight liftoff, altitude, and duration are constrained by the relationships between wing size, body weight, wingbeat frequency, and air temperature. We parameterized this model with observations from moths captured in traps or observed migrating under field conditions. We further documented the effects of prior defoliation on the size and weight (including fecundity) of migrating moths. Our simulations under idealized nocturnal conditions with a stable atmospheric boundary layer suggest that...AuthorsJacques Régnière, Johanne Delisle, Brian R. Sturtevant, Matthew Garcia, Rémi Saint-AmantKeywordsSourceForestsYear2019
- This resource update is a brief look at some of the basic metrics that describe the status of and changes to forest resources in Kansas. This information is based on field data collected using the USDA Forest Service Forest Inventory and Analysis (FIA) annualized sample design, and it is updated yearly. Tables for Kansas, 2018 can be found at https://doi.org/10.2737/FS-RU-217-Tables The FIA one-click application that generated this report can be found at https://doi.org/10.2737/FIA-One-Click-State-Report-v1.2.AuthorsUSDA Forest Service.KeywordsSourceResource Update FS–217. Newtown Square, PA: U.S. Department of Agriculture Forest Service, Northern Research Station. 2 p.Year2019
- This resource update is a brief look at some of the basic metrics that describe the status of and changes to forest resources in New Jersey. This information is based on field data collected using the USDA Forest Service Forest Inventory and Analysis (FIA) annualized sample design, and it is updated yearly. Tables for New Jersey, 2018 can be found at https://doi.org/10.2737/FS-RU-218-Tables The FIA one-click application that generated this report can be found at https://doi.org/10.2737/FIA-One-Click-State-Report-v1.2.AuthorsUSDA Forest Service.KeywordsSourceResource Update FS–218. Newtown Square, PA: U.S. Department of Agriculture Forest Service, Northern Research Station. 2 p.Year2019
- This resource update is a brief look at some of the basic metrics that describe the status of and changes to forest resources in New York. This information is based on field data collected using the USDA Forest Service Forest Inventory and Analysis (FIA) annualized sample design, and it is updated yearly. Tables for New York, 2018 can be found at https://doi.org/10.2737/FS-RU-219-Tables The FIA one-click application that generated this report can be found at https://doi.org/10.2737/FIA-One-Click-State-Report-v1.2.AuthorsUSDA Forest Service.KeywordsSourceResource Update FS–219. Newtown Square, PA: U.S. Department of Agriculture Forest Service, Northern Research Station. 2 p.Year2019
- This resource update is a brief look at some of the basic metrics that describe the status of and changes to forest resources in Pennsylvania. This information is based on field data collected using the USDA Forest Service Forest Inventory and Analysis (FIA) annualized sample design, and it is updated yearly. Tables for Pennsylvania, 2018 can be found at https://doi.org/10.2737/FS-RU-220-Tables The FIA one-click application that generated this report can be found at https://doi.org/10.2737/FIA-One-Click-State-Report-v1.2.AuthorsUSDA Forest Service.KeywordsSourceResource Update FS–220. Newtown Square, PA: U.S. Department of Agriculture Forest Service, Northern Research Station. 2 p.Year2019
- The Cerulean Warbler (Setophaga cerulea) is a species of conservation need, with declines linked in part to forest habitat loss on its breeding grounds. Active management of forests benefit the Cerulean Warbler by creating the complex structural conditions preferred by the species, but further research is needed to determine optimal silvicultural strategies. We quantified and compared the broad-scale influence of timber harvests within central Appalachian hardwood forests on estimated abundance and territory density of Cerulean Warblers. We conducted point counts at seven study areas...AuthorsGretchen E. Nareff, Petra B. Wood, Donald J. Brown, Todd Fearer, Jeffery L. Larkin, W. Mark. FordSourceForest Ecology and ManagementYear2019
- Forest canopies are sites for mercury (Hg) deposition, and forests can act as Hg sources to downstream aquatic environments. This study examined soil total Hg (THg), carbon (C), and nitrogen (N) to 15 cm in 10 seasonal pond basins in a northern hardwood forest in Minnesota. Pools (mass per area) and concentrations (mass per soil mass) of THg to 15 cm were lower in uplands than in ponds, indicating downslope transport. In uplands, THg concentrations were the same at 0- to 2-cm and 2- to 5-cm depths and then decreased, whereas THg density (mass per volume) peaked at 2 to 5 cm, highlighting...AuthorsMikayla J. Boche, Thomas M. DeSutter, Randy KolkaSourceSoil Science Society of America JournalYear2019
- Allometric biomass equations were developed based on harvests of 198 trees from 15 field sites in the north-central USA, with the trees representing 4 hybrid poplar genomic groups and a total of 11 clones within these groups. Specifically, equations were developed to describe woody (branch + stem) total dry weight (TDW) as a function of diameter at breast height (DBH), along with hypothesis tests of differences among genomic groups and clones for equation intercepts and slopes. Inclusion of groups or clones improved model fit (r2 = 0.90 or 0.91, respectively) compared to the generic model...AuthorsWilliam L. Headlee, Ronald S. Zalesny Jr.KeywordsSourceBioEnergy ResearchYear2019