Tracking 20 years of forest demographics in east Texas, USA, using national forest inventory data

被引:0
|
作者
Klockow, Paul A. [1 ,2 ]
Edgar, Christopher B. [1 ]
Domke, Grant M. [3 ]
Woodall, Christopher W. [4 ]
Russell, Matthew B. [5 ]
机构
[1] Univ Minnesota, Dept Forest Resources, 1530 Cleveland Ave N, St Paul, MN 55108 USA
[2] USDA Forest Serv, Rocky Mt Res Stn, 4919 S 1500 W, Riverdale, UT 84405 USA
[3] USDA Forest Serv, Northern Res Stn, 1992 Folwell Ave, St Paul, MN 55108 USA
[4] USDA Forest Serv, Northern Res Stn, 271 Mast Rd, Durham, NH 03824 USA
[5] Arbor Custom Analyt LLC, 180 Bangor Mall Blvd 1035, Bangor, ME 04401 USA
关键词
Forest resources; Forest Inventory and Analysis (FIA); Long-term data; Snag-fall; Tree-fall; Tree demography; WOODY DEBRIS; TREE MORTALITY; AIRBORNE LIDAR; PINUS-TAEDA; DROUGHT; BORER; FERTILIZATION; DECOMPOSITION; MECHANISMS; DIVERSITY;
D O I
10.1007/s10661-023-12060-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Forest resource reporting techniques primarily use the two most recent measurements for understanding forest change. Multiple remeasurements now exist within the US national forest inventory (NFI), providing an opportunity to examine long-term forest demographics. We leverage two decades of remeasurements to quantify live-dead wood demographics which can better inform estimates of resource changes in forest ecosystems. Our overall objective is to identify opportunities and gaps in tracking 20 years of forest demographics within the US NFI using east Texas as a pilot study region given its diversity of tree species, prevalence of managed conditions, frequency of disturbances, and relatively rapid change driven by a warm, humid climate. We examine growth and mortality rates, identify transitions to downed dead wood/litter and removal via harvest, and describe implications of these processes focusing on key species groups (i.e., loblolly pine, post oak, and water oak) and size classes (i.e., saplings, small and large trees). Growth and mortality rates fluctuated differently over time by species and stem sizes in response to large-scale disturbances, namely the 2011 drought in Texas. Tree-fall rates were highest in saplings and snag-fall rates trended higher in smaller trees. For removal rates, different stem sizes generally followed similar patterns within each species group. Forest demographics from the field-based US NFI are informative for identifying diffuse lagged mortality, species- and size-specific effects, and management effects. Moreover, researchers continually seek to employ ancillary data and develop new statistical methods to enhance understanding of forest resource changes from field-based inventories.
引用
收藏
页数:26
相关论文
共 50 条
  • [31] A hierarchical approach for scaling forest inventory and fuels data from local to landscape scales in the Davis Mountains, Texas, USA
    Poulos, Helen M.
    Camp, Ann E.
    Gatewood, Richard G.
    Loomis, Lynn
    FOREST ECOLOGY AND MANAGEMENT, 2007, 244 (1-3) : 1 - 15
  • [32] Expanding applications, data, and models in a forest inventory of northern Utah, USA
    Moisen, GG
    Edwards, TC
    Frescino, TS
    NORTH AMERICAN SCIENCE SYMPOSIUM: TOWARD A UNIFIED FRAMEWORK FOR INVENTORYING AND MONITORING FOREST ECOSYSTEM RESOURCES, 1999, (12): : 212 - 218
  • [33] Large scale mapping of forest attributes using heterogeneous sets of airborne laser scanning and National Forest Inventory data
    Hauglin, Marius
    Rahlf, Johannes
    Schumacher, Johannes
    Astrup, Rasmus
    Breidenbach, Johannes
    FOREST ECOSYSTEMS, 2021, 8 (01)
  • [34] Large scale mapping of forest attributes using heterogeneous sets of airborne laser scanning and National Forest Inventory data
    Marius Hauglin
    Johannes Rahlf
    Johannes Schumacher
    Rasmus Astrup
    Johannes Breidenbach
    ForestEcosystems, 2021, 8 (04) : 872 - 886
  • [35] Measurement uncertainty in a national forest inventory :results from the northern region of the USA
    Yanai, Ruth D.
    Young, Alexander R.
    Campbell, John L.
    Westfall, James A.
    Barnett, Charles J.
    Dillon, Gretchen A.
    Green, Mark B.
    Woodall, Christopher W.
    CANADIAN JOURNAL OF FOREST RESEARCH, 2022, 53 (03) : 163 - 177
  • [36] Structure of forests in Poland based on National Forest Inventory data
    Jablonski, Marek
    Wysocka-Fijorek, Emilia
    Budniak, Piotr
    SYLWAN, 2017, 161 (04): : 267 - 276
  • [37] The data storage and analysis system of the Swiss National Forest Inventory
    Traub, Berthold
    Meile, Rolf
    Speich, Simon
    Rosler, Erik
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2017, 132 : 97 - 107
  • [38] A nationwide forest attribute map of Sweden predicted using airborne laser scanning data and field data from the National Forest Inventory
    Nilsson, Mats
    Nordkvist, Karin
    Jonzen, Jonas
    Lindgren, Nils
    Axensten, Peder
    Wallerman, Jorgen
    Egberth, Mikael
    Larsson, Svante
    Nilsson, Liselott
    Eriksson, Johan
    Olsson, Hakan
    REMOTE SENSING OF ENVIRONMENT, 2017, 194 : 447 - 454
  • [39] THE SPATIAL DISTRIBUTION OF FOREST BIOMASS IN CHINA USING REMOTE SENSING AND NATIONAL FOREST INVENTORY
    Du, Ling
    Zhou, Tao
    Zhao, Xiang
    Wu, Hao
    Wu, Donghai
    2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 737 - 740
  • [40] A random forest model for basal area increment predictions from national forest inventory data
    Jevsenak, Jernej
    Skudnik, Mitja
    FOREST ECOLOGY AND MANAGEMENT, 2021, 479