2019 Massachusetts Forest Health Monitoring Program: 2019 Report

2020 ◽  
Author(s):  
Matthias Sirch ◽  
Matthias Nevins ◽  
Alexandra Kosiba ◽  
Julia Pupko ◽  
James Duncan ◽  
...  
Keyword(s):  
Health Monitoring ◽  
Monitoring Program ◽  
Forest Health ◽  
Forest Health Monitoring

scholarly journals Urban Forest Health Monitoring: Large-Scale Assessments in the United States

2008 ◽  
Vol 34 (6) ◽  
pp. 341-346
Author(s):  
Anne Cumming ◽  
Daniel Twardus ◽  
David Nowak
Keyword(s):  
Data Collection ◽  
Health Monitoring ◽  
Large Scale ◽  
Urban Forest ◽  
Monitoring Program ◽  
Forest Health ◽  
The United States ◽  
Department Of Agriculture ◽  
Pilot Studies ◽  
Forest Health Monitoring

The U.S. Department of Agriculture, Forest Service (USFS), together with state partners, developed methods to monitor urban forest structure, function, and health at a large statewide scale. Pilot studies have been established in five states using protocols based on USFS Forest Inventory and Analysis and Forest Health Monitoring program data collection standards. Variables and data analysis are described. Advantages of a large-scale monitoring study are discussed and examples of results from Wisconsin are presented. Studies in Indiana, Wisconsin, New Jersey, Tennessee, and Colorado, U.S., have shown that urban forest health monitoring data collection and analysis is feasible and can be implemented nationally.

scholarly journals A synthesis of evaluation monitoring projects by the Forest Health Monitoring Program (1998-2007)

2012 ◽  
Author(s):  
William A. Bechtold ◽  
Michael J. Bohne ◽  
Barbara L. Conkling ◽  
Dana L. Friedman ◽  
Borys M. Tkacz
Keyword(s):  
Health Monitoring ◽  
Monitoring Program ◽  
Forest Health ◽  
Forest Health Monitoring

Forest health monitoring in New England: 1990 annual report

1992 ◽  
Author(s):  
Robert T. Brooks ◽  
David R. Dickson ◽  
William B. Burkman ◽  
Imants Millers ◽  
Margaret Miller-Weeks ◽  
...  
Keyword(s):  
New England ◽  
Health Monitoring ◽  
Annual Report ◽  
Forest Health ◽  
Forest Health Monitoring

Seeing the forest for the trees: forest health monitoring

Forest Health ◽  
2012 ◽  
pp. 321-343 ◽  
Author(s):  
M. Fierke ◽  
D. Nowak ◽  
R. Hofstetter
Keyword(s):  
Health Monitoring ◽  
Forest Health ◽  
Forest Health Monitoring

PENILAIAN DAMPAK KEBAKARAN PADA TEGAKAN AKASIA DI BKPH PARUNG PANJANG KPH BOGOR, PERUM PERHUTANI UNIT III JAWA BARAT DAN BANTEN Fire Severity Assessment on Akasia stand at BKPH Parung Panjang KPH Bogor, Perum Perhutani III West Java and Banten

2017 ◽  
Vol 8 (1) ◽  
pp. 55-62
Author(s):  
Lailan Syaufina ◽  
Vera Linda Purba
Keyword(s):  
Growth Performance ◽  
Forest Fire ◽  
Health Monitoring ◽  
Fire Severity ◽  
Forest Health ◽  
Chemical Properties ◽  
Fire Effects ◽  
Burned Areas ◽  
Forest Health Monitoring ◽  
Physical And Chemical

Forest fire is one of the problem in forest management. The objectives of the study was to measure the forest fire severity based on soil physical and chemical properties. The forest fire effects were assessed using fire severity method and forest health monitoring plot. The study indicated that the burned areas at BKPH Parung Panjang after two years included in low fire severity. The site properties and growth performance analysis showed that the fire has only affected on pH, Mg and tree diameter significantly, whereas the other parameters such as bulk density, P, N, Na, K, Ca and height were not significantly affected. In addition, both burned and unburned areas are classified as in health condition.Key words : fire severity, forest health monitoring, growth performance, site properties

Forest Health Monitoring in the U.S.

2002 ◽  
Author(s):  
William Smith ◽  
Iral Ragenovich ◽  
John Coulston ◽  
Barbara Conkling ◽  
Sally Campbell ◽  
...  
Keyword(s):  
Health Monitoring ◽  
Forest Health ◽  
Forest Health Monitoring ◽  
The U.S

scholarly journals PENILAIAN KESEHATAN KEBUN BENIH SEMAI Pinus merkusii DENGAN METODE FHM (FOREST HEALTH MONITORING) DI KPH SUMEDANG Health Assessment for Seedling Seed Orchard of Pinus merkusii Using FHM (Forest Health Monitoring) Method in KPH Sumedang

2019 ◽  
Vol 9 (2) ◽  
pp. 99-108
Author(s):  
Supriyanto . ◽  
Taufik Iskandar
Keyword(s):  
Health Monitoring ◽  
Forest Health ◽  
Seed Orchard ◽  
Tree Damage ◽  
Damage Level ◽  
Seedling Seed Orchard ◽  
Forest Health Monitoring ◽  
Gum Rosin ◽  
Damage Condition ◽  
Pinus Merkusii

Pine (Pinus merkusii) is tree species that provides timber and gum rosin. To meet the needs of wood and non wood (gum rosin) products, planting by using superior or high quality seeds are needed. Seed procurements for planting are obtained from seedling seed orchard (SSO). However, Cijambu’s SSO was attacked by pine woolly aphid (Pineus boerneri). Therefore, assessment of Cijambu’s SSO needs to be done to evaluate the severity pest attacks that could affect to the quality and the quantity of seed production. Forest Health Monitoring (FHM) method is one of the methods to assess the health level of a stand. The number of trees found in all cluster plots in Cijambu’s SSO were 270 trees. Based on the value of the VCR (Visual Crown Rating), the trees located in all cluster plot have health level between low to high. Based on the value of the VCR showed 38.52% (104 trees) having VCR’s value was high, 49.26% (133 trees) having VCR’s value was middle; 12.22% (33 trees) having VCR’s value was low; and no tree having very low VCR’s value. The average of VCR’s value in all cluster plots were 3.25 and classified as middle health. Based on the value of TDLI (Tree Damage Level Index) from 270 trees in all cluster plot showed that 189 trees (70.00%) in healthy condition; 69 trees (25.56%) in slight damage condition; 11 trees (4.07%) in middle damage condition; and 1 tree (0.37%) in heavy damage condition. The value of damage in all cluster plots (ALI) was 261.22 and classified as in health condition. The trees located in all cluster plots were mostly suitable to be seed sources as 242 trees (89.63%), while 28 trees (10.37%) were not suitable for seed sources.Keywords: Forest Health Monitoring, Pinus merkusii, seedling seed orchard, Tree Damage Level Index, Visual Crown Rating

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