scholarly journals An Evaluation of Changes in Tree Crown Characteristics to Assess Forest Health in Two Indiana State Parks

2004 ◽  
Vol 21 (1) ◽  
pp. 50-55
Author(s):  
KaDonna C. Randolph ◽  
John W. Moser
Keyword(s):  
Health Monitoring ◽  
Forest Health ◽  
State Parks ◽  
Tree Crown ◽  
Extreme Stress ◽  
Body Of Knowledge ◽  
Forest Health Monitoring ◽  
Crown Density ◽  
Crown Characteristics ◽  
Crown Dieback

Abstract An evaluation of tree crown characteristics was conducted by means of a Forest Health Monitoring study in Turkey Run and Shades State Parks, Indiana. Crown dieback, foliage transparency, and crown density were summarized for three consecutive measurement years, and the short-term changes in these characteristics were quantified in an effort to identify potential forest health concerns. In both Shades and Turkey Run State Parks, no significant changes were detected in the levels of crown dieback and crown density. Only for Shades hardwoods, and more specifically hickory trees (Carya spp.), was there an unfavorable change in foliage transparency; however, this change did not appear extraordinary given the Forest Health Monitoring measurement quality objectives. This study demonstrated that given the current body of knowledge about the acceptable levels for the crown characteristics, the majority of trees in Shades and Turkey Run State Parks are not exhibiting responses to extreme stress and should be considered healthy.

Detection of observer bias in ongoing forest health monitoring programmes

1996 ◽  
Vol 26 (9) ◽  
pp. 1692-1696 ◽  
Author(s):  
Geir-Harald Strand
Keyword(s):  
Health Monitoring ◽  
Environmental Changes ◽  
Forest Health ◽  
Monitoring Programme ◽  
Observer Bias ◽  
Geographical Patterns ◽  
Forest Health Monitoring ◽  
Crown Density

This article describes a method for detecting bias between observers in monitoring programmes where crown density is used as the indicator of forest health. The method concentrates on trees where the surveyor team has changed from year to year and compares the changes reported by each separate pair of observers. It shows that observer bias is present in the Norwegian monitoring programme. Observer bias can give an artificial impression of geographical patterns if surveyors are allowed to operate regionally and may also result in inconsistent or even false reports about change in crown density. Monitoring programmes cannot differentiate between effects of observer bias and real environmental changes unless the observers are assigned to monitoring sites on a permanent basis.

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

Forest Health Monitoring

2021 ◽  
Author(s):  
K.M. Potter ◽  
B.L. Conkling
Keyword(s):  
Health Monitoring ◽  
Forest Health ◽  
Forest Health Monitoring
Sign in / Sign up

Export Citation Format

Share Document