气候变化领域集成服务门户(CCPortal): Interpreting effects of multiple, large-scale disturbances using national forest inventory data: A case study of standing dead trees in east Texas, USA

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DOI	10.1016/j.foreco.2019.01.027
	Interpreting effects of multiple, large-scale disturbances using national forest inventory data: A case study of standing dead trees in east Texas, USA
	Edgar C.B.; Westfall J.A.; Klockow P.A.; Vogel J.G.; Moore G.W.
发表日期	2019
ISSN	0378-1127
起始页码	27
结束页码	40
卷号	437
英文摘要	Understanding the impacts of large-scale disturbances on forest conditions is necessary to support forest management, planning, and policy decision making. National forest inventories (NFIs) are an important information source that provide consistent data encompassing large areas, covering all ownerships, and extending through time. Here we compare how temporal aggregation approaches with NFI data affects estimates of standing dead trees as these respond to extreme disturbance events. East Texas was selected for this study owing to the occurrence of three significant disturbance events in a short span: Hurricane Rita in 2005, Hurricane Ike in 2008, and a historic drought in 2011. Wide-spread tree damage and mortality were reported after each disturbance and estimates of standing dead trees were used as the inventory variable for assessment. In the NFI of the US, the plot network is systematically divided into panels and one panel is measured each year. A measurement cycle is completed when all panels have been measured, which varies between 5 and 10 years depending on the region. Using the standard estimation approach of the US NFI, we computed population estimates using data from the full set of panels (FSP), multiple sets of panels (MSP), and single set of panels (SSP). For estimation, a single plot observation is computed from the most recent measurement of the plot that does not exceed the estimate year. Because one panel is measured per year, FSP and MSP estimates will necessarily consist of plot observations whose measurements were collected over a number of years. The SSP estimate is computed from one panel and thus all the plot observations are based on measurements collected over one year. We found that interpretations of disturbance event impacts varied depending on which sets of estimates were considered. All sets of estimates suggested a large and significant drought impact. However, differences existed among the estimates in the timing and magnitude of the impacts. The FSP estimates showed clear lag bias and smoothing of trends relative to the SSP estimates. MSP estimates were intermediate between FSP and SSP estimates. Differences in Hurricane Rita impacts were also observed between sets of estimates. Evidence of a net impact on standing dead trees following Hurricane Ike was weak among all sets of estimates. Given the potential for lag bias and smoothing, we recommend that SSP and MSP estimates be considered along with FSP estimates in assessments of large-scale disturbance impacts on forest conditions. © 2019 Elsevier B.V.
英文关键词	Drought; Estimation; Hurricane; National forest inventory; Panel; Standing dead trees
语种	英语
scopus关键词	Damage detection; Decision making; Drought; Estimation; Hurricanes; Population statistics; Forest conditions; Information sources; National forest inventories; Panel; Population estimate; Standard estimation; Standing dead trees; Temporal aggregation; Forestry; damage; disturbance; drought; estimation method; forest inventory; hurricane; Hurricane Ike 2008; Hurricane Rita 2005; Hurricane Wilma 2005; mortality; panel data; snag; Data; Decision Making; Drought; Estimates; Estimation; Forestry; Panels; Trees; Texas; United States
来源期刊	Forest Ecology and Management
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156164
作者单位	University of Minnesota, Department of Forest Resources, 115 Green Hall, 1530 N. Cleveland Ave., Saint Paul, MN 55108, United States; U.S. Forest Service, Northern Research Station, Newtown SquarePA, United States; Texas A&M University, Department of Ecosystem Science and Management, College Station, TX 77845, United States; University of Florida, School of Forest Resources and Conservation, Gainesville, FL 32611, United States
推荐引用方式 GB/T 7714	Edgar C.B.,Westfall J.A.,Klockow P.A.,et al. Interpreting effects of multiple, large-scale disturbances using national forest inventory data: A case study of standing dead trees in east Texas, USA[J],2019,437.
APA	Edgar C.B.,Westfall J.A.,Klockow P.A.,Vogel J.G.,&Moore G.W..(2019).Interpreting effects of multiple, large-scale disturbances using national forest inventory data: A case study of standing dead trees in east Texas, USA.Forest Ecology and Management,437.
MLA	Edgar C.B.,et al."Interpreting effects of multiple, large-scale disturbances using national forest inventory data: A case study of standing dead trees in east Texas, USA".Forest Ecology and Management 437(2019).