caa a22 4500 445383607 CHVBK 20180317143025.0 cr unu---uuuuu 170323e20110901xx s 000 0 eng 10.1007/s10021-011-9462-6 doi (NATIONALLICENCE)springer-10.1007/s10021-011-9462-6 Carbon Sequestration in the New Jersey Pine Barrens Under Different Scenarios of Fire Management [Elektronische Daten] [Robert Scheller, Steve Van Tuyl, Kenneth Clark, John Hom, Inga La Puma] The New Jersey Pine Barrens (NJPB) is the largest forested area along the northeastern coast of the United States. The NJPB are dominated by pine (Pinus spp.) and oak (Quercus spp.) stands that are fragmented and subject to frequent disturbance and forest management. Over long time periods (>50years), the balance between oak and pine dominance is determined by fire frequency. As a consequence, the ability of the NJPB to sequester carbon may be contingent upon management activities as well as patterns of historic land use. We simulated 100years of carbon change using three scenarios: (1) contemporary management as reflected in the recent (1991-2006) fire records, (2) an increase in the fire ignitions within the wildland urban interface areas of the NJPB reflecting increased prescribed fires, and (3) a longer response time to wildfires, reflecting a more liberal burning policy by the New Jersey Forest Fire Service. We used the LANDIS-II model coupled with CENTURY and the Dynamic Fire and Dynamic Biomass Fuels extensions to estimate forest carbon sequestration based on these three scenarios. Calibration and validation via comparison to monthly flux tower data indicated that the model reasonably captured the timing and magnitude of net ecosystem exchange in the absence of Gypsy moth defoliation (r 2=0.89). Under all scenarios, our simulations suggest that forests of the NJPB will continue to accumulate carbon over the next 100years under current climatic conditions. Although aboveground net primary productivity, live carbon, and detrital carbon were roughly constant or increased only modestly, soil organic carbon continued to increase through time for all forest types except the highly xeric pine plains. Our simulated changes in management reflected only minor alterations to the fire regime and thus management may have only minor effects on total forest carbon budgets in the immediate future particularly when compared to recovery from historic disturbance patterns. Springer Science+Business Media, LLC, 2011 CENTURY nationallicence net ecosystem exchange nationallicence New Jersey Pine Barrens nationallicence fire emissions nationallicence fire management nationallicence soil organic carbon nationallicence eddy flux tower nationallicence LANDIS-II nationallicence Scheller Robert Department of Environmental Sciences and Management, Portland State University, P.O. Box 751, 97207, Portland, Oregon, USA aut Van Tuyl Steve USDA Forest Service, 11 Campus Blvd, 19073, Newtown Square, Pennsylvania, USA aut Clark Kenneth Silas Little Experimental Forest, USDA Forest Service, 501 Four Mile Road, 08064, New Lisbon, New Jersey, USA aut Hom John USDA Forest Service, 11 Campus Blvd, 19073, Newtown Square, Pennsylvania, USA aut La Puma Inga Center for Remote Sensing and Spatial Analysis, Rutgers University, 08873, New Brunswick, New Jersey, USA aut Ecosystems Springer-Verlag 14/6(2011-09-01), 987-1004 1432-9840 14:6<987 2011 14 10021 https://doi.org/10.1007/s10021-011-9462-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10021-011-9462-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Scheller Robert Department of Environmental Sciences and Management, Portland State University, P.O. Box 751, 97207, Portland, Oregon, USA aut NATIONALLICENCE 700 1- Van Tuyl Steve USDA Forest Service, 11 Campus Blvd, 19073, Newtown Square, Pennsylvania, USA aut NATIONALLICENCE 700 1- Clark Kenneth Silas Little Experimental Forest, USDA Forest Service, 501 Four Mile Road, 08064, New Lisbon, New Jersey, USA aut NATIONALLICENCE 700 1- Hom John USDA Forest Service, 11 Campus Blvd, 19073, Newtown Square, Pennsylvania, USA aut NATIONALLICENCE 700 1- La Puma Inga Center for Remote Sensing and Spatial Analysis, Rutgers University, 08873, New Brunswick, New Jersey, USA aut NATIONALLICENCE 773 0- Ecosystems Springer-Verlag 14/6(2011-09-01), 987-1004 1432-9840 14:6<987 2011 14 10021 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer