Comprehensive Methods for Earlier Detection and Monitoring of Forest Decline

被引:33
|
作者
Pontius, Jennifer [1 ,2 ]
Hallett, Richard [2 ]
机构
[1] UVM, Burlington, VT 05405 USA
[2] US Forest Serv, USDA, No Res Stn, Burlington, VT USA
关键词
data reduction; data standardization; data summary; forest monitoring; forest pest detection; forest stress; tree health; vegetation condition; EMERALD ASH BORER; SUGAR MAPLE; FLUORESCENCE; HEALTH; NUTRITION; MORTALITY; STRESS; RATES;
D O I
10.5849/forsci.13-121
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Forested ecosystems are threatened by invasive pests, pathogens, and unusual climatic events brought about by climate change. Earlier detection of incipient forest health problems and a quantitatively rigorous assessment method is increasingly important. Here, we describe a method that is adaptable across tree species and stress agents and practical for use in the field. This approach relies on: (1) measurements covering a range of forest decline symptoms, from early decline to imminent death, (2) normalization of each measurement within each species' natural range, and (3) combining normalized measurements into one summary decline rating, thus creating a rigorous, detailed assessment of forest condition within the context of the species' typical characteristics. We demonstrate the utility of this approach in comparison to traditional field assessments of forest condition for both early detection and more sensitive monitoring over time. This comprehensive approach will allow researchers and forest managers to track subtle changes in tree condition over shorter periods of time, an imperative advancement for the detection and monitoring of invasive pests. While the case studies presented here are based on specific tree species and stress agents, this approach is scalable and broadly applicable to other tree species and stressors, making it a valuable approach for forest health monitoring and assessment.
引用
收藏
页码:1156 / 1163
页数:8
相关论文
共 50 条
  • [1] A Comprehensive Review of Screening Methods for Ovarian Masses: Towards Earlier Detection
    Sahu, Shreya A.
    Shrivastava, Deepti
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2023, 15 (11)
  • [2] LUMINESCENCE TECHNIQUES FOR MONITORING OF FOREST DECLINE
    SCHNECKENBURGER, H
    SCHMIDT, W
    JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY B-BIOLOGY, 1992, 13 (02) : 190 - 193
  • [3] Detection of forest decline in Monchegorsk area
    Hagner, O
    Rigina, O
    REMOTE SENSING OF ENVIRONMENT, 1998, 63 (01) : 11 - 23
  • [4] EARTH-BASED SPECTRORADIOMETRIC MONITORING OF FOREST DECLINE
    KAUFMANN, WF
    HARTMANN, KM
    JOURNAL OF PLANT PHYSIOLOGY, 1991, 138 (03) : 270 - 273
  • [5] Earlier Decision on Detection of Ransomware Identification: A Comprehensive Systematic Literature Review
    Albshaier, Latifa
    Almarri, Seetah
    Rahman, M. M. Hafizur
    INFORMATION, 2024, 15 (08)
  • [6] A Review on the Sampling Theory of Comprehensive Forest Resources Monitoring
    Luo Xianxian
    Xu Songya
    RECENT ADVANCE IN STATISTICS APPLICATION AND RELATED AREAS, VOLS I AND II, 2009, : 833 - 843
  • [7] CHANGE DETECTION FOR MONITORING FOREST DEFOLIATION
    MUCHONEY, DM
    HAACK, BN
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 1994, 60 (10): : 1243 - 1251
  • [8] Methods and tasks of radiation monitoring of forest ecosystems
    Krasnov, V
    Orlov, A
    Equidosimetry - Ecological Standardization and Equidosimetry for Radioecology and Environmental Ecology, 2005, 2 : 307 - 312
  • [9] Earlier Breast Cancer Detection in Peru: Establishing a Comprehensive Program in an Underserved Region
    Matsumoto, Monica M.
    Widemon, Scott
    Farfan, Geerlitte
    Vidaurre, Tatiana
    Dunstan, Jorge
    Krotish, Debra E.
    Ferris, Daron G.
    Santos, Jose M. Garcia
    Mollura, Daniel J.
    Pollack, Erica
    Scheel, John R.
    JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2020, 17 (11) : 1520 - 1524
  • [10] The use of microwave SAR images for forest decline monitoring in mountainous area
    Stankiewicz, K
    LAND SURFACE CHARACTERIZATION AND REMOTE SENSING OF OCEAN PROCESSES, 2002, 29 (01): : 67 - 72