Estimates of Down Woody Materials on Fort A.P. Hill, Virginia

Abstract An inventory of down woody materials (DWM) was conducted on Fort A.P. Hill, Virginia, to develop a baseline of DWM abundance and distribution to assist in wildland fire management. Estimates of DWM are necessary to develop accurate assessments of wildfire hazard, model wildland fire behavior, and establish thresholds for retaining DWM, specifically CWD (coarse woody debris), as a structural component of forest ecosystems. DWM were sampled by forest type and structure class using US Forest Service, Forest Inventory and Analysis (FIA) field procedures. DWM averaged 12–16 tn/ac depending on forest cover type and structure class. Coarse woody debris (CWD) averaged 2.7–13.0 tn/ac depending on forest cover type and structure class. CWD comprised more than 70% of DWM across all forest cover types and structure classes. Fine woody debris (FWD) averaged 0.05–3.2 tn/ac depending on fuel hour class, forest cover type, and structure class. DWM was consistently higher in mature (sawtimber) forests than in young (poletimber) forests across all forest cover types, attributed to an increased CWD component of DWM. The variability associated with DWM suggests that obtaining robust estimates of CWD biomass will require a higher sampling intensity than FWD because of its nonuniform distribution in forest systems. FIA field procedures for tallying and quantifying DWM were practical, efficient, and, subsequently, included as permanent metrics in Fort A.P. Hill's Continuous Forest Inventory program.

Download Full-text

Stratification approach for forest cover type and landuse mapping using IRS-1A LISS-II data — A case study

Journal of the Indian Society of Remote Sensing ◽

10.1007/bf03015117 ◽

1994 ◽

Vol 22 (1) ◽

pp. 21-29 ◽

Cited By ~ 5

Author(s):

S. Sudhakar ◽

R. K. Das ◽

D. Chakraborty ◽

B. K. Bardhan Roy ◽

A. K. Raha ◽

...

Keyword(s):

Forest Cover ◽

Forest Cover Type ◽

Cover Type

Download Full-text

ABOVE GROUND TREES BIOMASS OF LORE LINDU NATIONAL PARK-CENTRAL SULAWESI : A STUDY COMBINING FIELD MEASUREMENT AND REMOTE SENSING

Agromet ◽

10.29244/j.agromet.24.1.33-41 ◽

2010 ◽

Vol 24 (1) ◽

pp. 33

Author(s):

Naimatu Solicha ◽

Tania June ◽

M. Ardiansyah ◽

Antonius B. W.

Keyword(s):

Remote Sensing ◽

Carbon Stock ◽

Field Data ◽

Forest Cover ◽

Satellite Image ◽

Forest Biomass ◽

Allometric Equation ◽

Natural Forest ◽

Forest Cover Type ◽

Cover Type

Forests play an important role in global carbon cycling, since they hold a large pool of carbon as well as potential carbon sinks and sources to the atmosphere. Accurate estimation of forest biomass is required for greenhouse gas inventories and terrestrial carbon accounting. The information on biomass is essential to assess the total and the annual capacity of forest vigor. Estimation of aboveground biomass is necessary for studying productivity, carbon cycles, nutrient allocation, and fuel accumulation in terrestrial ecosystem. The possibility that above ground forest biomass might be determined from space is a promising alternative to ground-based methods. Remote sensing has opened an effective way to estimate forest biomass and carbon. By the combination of data field measurement and allometric equation, the above ground trees biomass possible to be estimated over the large area. The objectives of this research are: (1) To estimate the above ground tree biomass and carbon stock of forest cover in Lore Lindu National Park by combination of field data observation, allometric equation and multispectral satellite image; (2) to find the equation model between parameter that determines the biomass estimation. The analysis showed that field data observation and satellite image classification influencing much on the accuracy of trees biomass and carbon stock estimation. The forest cover type A and B (natural forest with the minor timber extraction) has the higher biomass than C and D (natural forest with the major timber extraction and agro forestry), it is about 607 ton/ha and 603 ton/ha. Forest cover type C is 457 ton/ha. Forest cover type D has the lowest biomass is about 203 ton/ha. Natural forest has high biomass, because of the tropical vegetation trees heterogeneity. Forest cover D has the lowest trees biomass because its vegetation component as secondary forest with the homogeneity of cacao plantation. The forest biomass and carbon estimation for each cover type will be useful for the further equation analysis when using the remote sensing technology for estimating the total biomass and for the economic carbon analysis.Forests play an important role in global carbon cycling, since they hold a large pool of carbon as well as potential carbon sinks and sources to the atmosphere. Accurate estimation of forest biomass is required for greenhouse gas inventories and terrestrial carbon accounting. The information on biomass is essential to assess the total and the annual capacity of forest vigor. Estimation of aboveground biomass is necessary for studying productivity, carbon cycles, nutrient allocation, and fuel accumulation in terrestrial ecosystem. The possibility that above ground forest biomass might be determined from space is a promising alternative to ground-based methods. Remote sensing has opened an effective way to estimate forest biomass and carbon. By the combination of data field measurement and allometric equation, the above ground trees biomass possible to be estimated over the large area. The objectives of this research are: (1) To estimate the above ground tree biomass and carbon stock of forest cover in Lore Lindu National Park by combination of field data observation, allometric equation and multispectral satellite image; (2) to find the equation model between parameter that determines the biomass estimation. The analysis showed that field data observation and satellite image classification influencing much on the accuracy of trees biomass and carbon stock estimation. The forest cover type A and B (natural forest with the minor timber extraction) has the higher biomass than C and D (natural forest with the major timber extraction and agro forestry), it is about 607 ton/ha and 603 ton/ha. Forest cover type C is 457 ton/ha. Forest cover type D has the lowest biomass is about 203 ton/ha. Natural forest has high biomass, because of the tropical vegetation trees heterogeneity. Forest cover D has the lowest trees biomass because its vegetation component as secondary forest with the homogeneity of cacao plantation. The forest biomass and carbon estimation for each cover type will be useful for the further equation analysis when using the remote sensing technology for estimating the total biomass and for the economic carbon analysis.

Download Full-text

Coarse Woody Debris in Oak Woodlands of California

Western Journal of Applied Forestry ◽

10.1093/wjaf/17.3.139 ◽

2002 ◽

Vol 17 (3) ◽

pp. 139-146 ◽

Cited By ~ 8

Author(s):

William D. Tietje ◽

Karen L. Waddell ◽

Justin K. Vreeland ◽

Charles L. Bolsinger

Keyword(s):

Land Use ◽

Coarse Woody Debris ◽

Forest Inventory ◽

Woody Debris ◽

Forest Products ◽

Oak Woodlands ◽

Blue Oak ◽

Live Oak ◽

Umbellularia Californica ◽

Quercus Spp

Abstract An extensive forest inventory was conducted to estimate the amount and distribution of coarse woody debris (CWD) on 5.6 million ac of woodlands in California that are outside of national forests and reserved areas. Woodlands consist primarily of oak (Quercus spp.) types and are defined as forestland incapable of producing commercial quantities of traditional forest products because of adverse site and tree morphophysiology. Approximately 671 million ft3 of CWD were estimated to occur over the study area. Almost 3 million ac of woodland (52% of the sampled area) were estimated to have no CWD. The large-end diameter of CWD was <12 in. on 67% of all logs sampled. Blue oak (Q. douglasii) CWD occurred over the largest area and gray pine (Pinus sabiniana) produced the most volume (164.1 million ft3) of CWD. An average of 115 ft3/ac, 1.2 tons/ac, 21 logs/ac, and 56.8 linear ft/ac were estimated for CWD across all woodland types. The coast live oak (Q. agrifolia) type produced the largest per-acre measure of CWD volume (164.1 ft3/ac). The California laurel (Umbellularia californica) type produced the highest log density (48 logs/ac) and the most linear feet per acre of CWD (131.8 ft/ac). CWD was most abundant in the central coast and least abundant in the northeastern portion of the state. Results of this study suggest that CWD is not common across much of California's woodlands. More detailed research is needed to evaluate the amount and distribution of CWD, affects of land-use, and the implications for wildlife. West. J. Appl. For. 17(3):139–146.

Download Full-text

Models for dominating forest cover type prediction

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/677/5/052119 ◽

2021 ◽

Vol 677 (5) ◽

pp. 052119

Author(s):

D A Petrusevich

Keyword(s):

Forest Cover ◽

Forest Cover Type ◽

Cover Type

Download Full-text

Forest types of the North Cascades National Park Service Complex

Canadian Journal of Botany ◽

10.1139/b87-210 ◽

1987 ◽

Vol 65 (7) ◽

pp. 1520-1530 ◽

Cited By ~ 5

Author(s):

James K. Agee ◽

Jane Kertis

Keyword(s):

Ponderosa Pine ◽

National Park ◽

Forest Cover ◽

National Park Service ◽

Silver Fir ◽

North Cascades ◽

Cover Type ◽

The North ◽

Park Service ◽

Forest Cover Types

A forest cover type classification was developed for the North Cascades National Park Service Complex in north central Washington, U.S.A., based on 425 reconnaissance-level plots. Detrended correspondence analysis (DECORANA) was used to ordinate the data. Temperature and available moisture were identified as primary environmental gradients. Two-way indicator species analysis (TWINSPAN) was used to classify the data, resulting in eight forest cover types: ponderosa pine (Pinus ponderosa), Douglas-fir (Pseudotsuga menziesii), subalpine fir (Abies lasiocarpa), whitebark pine – subalpine larch (Pinus albicaulis – Larix lyallii), mountain hemlock (Tsuga mertensiana), Pacific silver fir (Abies amabilis), western hemlock (Tsuga heterophylla), and hardwood forest. The coniferous forest cover types, with the exception of ponderosa pine, were defined to have open and closed canopy components; each cover type includes a variety of plant associations. The cover types were integrated into a geographic information system used to create a cover type map that was 85% accurate. The forest cover types of the park complex are unique not so much for within-community diversity as for the close juxtaposition of cover types with interior and coastal climatic influences.

Download Full-text

Coarse woody debris stocks as a function of forest type and stand age in Costa Rican tropical dry forest: long-lasting legacies of previous land use

Journal of Tropical Ecology ◽

10.1017/s0266467410000131 ◽

2010 ◽

Vol 26 (4) ◽

pp. 467-471 ◽

Cited By ~ 19

Author(s):

Lisa B. Kissing ◽

Jennifer S. Powers

Keyword(s):

Coarse Woody Debris ◽

Forest Type ◽

Woody Debris ◽

Empirical Studies ◽

Tropical Dry Forest ◽

Simulation Models ◽

Dry Forest ◽

Stand Age ◽

Dead Trees ◽

Ecological Importance

The ecological importance of trees lasts much longer than their life spans. Standing dead trees (snags) and fallen trunks and branches are an important component of above-ground carbon stocks and nutrient reserves, provide habitat for wildlife, and interact with disturbance regimes (e.g. by serving as fuel for fires) (Clark et al. 2002, Harmon et al. 1986, Pyle et al. 2008). Despite these diverse functions, woody debris stocks remain poorly quantified in tropical forests in general (Brown 1997), and in tropical dry forests in particular (Harmon et al. 1995). More empirical studies of the patterns of woody debris and processes that control its dynamics are needed to understand its role in global biogeochemical cycles and for ecosystem simulation models, many of which do not represent coarse woody debris (CWD) as a separate pool (Cornwell et al. 2009).

Download Full-text

Forest cover type classification at Mt. Asama using ALOS fully Polarimetric PALSAR data, in Nagano prefecture, central Japan

Journal of the Japan society of photogrammetry and remote sensing ◽

10.4287/jsprs.48.188 ◽

2009 ◽

Vol 48 (3) ◽

pp. 188-194

Author(s):

Masato KATOH ◽

Joji IISAKA

Keyword(s):

Forest Cover ◽

Central Japan ◽

Forest Cover Type ◽

Nagano Prefecture ◽

Cover Type ◽

Type Classification

Download Full-text

THE IMPACT OF FOREST FIRE ON FOREST COVER TYPES IN MONGOLIA

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xliii-b3-2020-693-2020 ◽

2020 ◽

Vol XLIII-B3-2020 ◽

pp. 693-698

Author(s):

N.-E. Geserbaatar ◽

E. Nasanbat ◽

O. Lkhamjav

Keyword(s):

Forest Fire ◽

Forest Fires ◽

Forest Cover ◽

Forest Type ◽

Landsat Imagery ◽

Object Oriented ◽

Burnt Area ◽

Current Classification ◽

The Impact ◽

Forest Cover Types

Abstract. The objective of this study was the impact of forest fire on forest cover types. This study has identified non-forest and forest area that has seven forest class are included with cedar, pine, larch, birch, birch-pine mixed, birch-larch mixed and cedar-larch mixed, additionally, remote sensing imagery is applied. In contrast, Landsat imagery has been used several classification approaches. Moreover, the current classification has developments in segmentation and object-oriented techniques offer the suitable analysis to classify satellite data. In the object-oriented classification approach, images cluster to homogenous area as forest types by suitable parameters in some level. The accuracy analysis revealed that overall accuracy showed a good accuracy of determination (86.33 percent in 2000 and 93.75 percent in 2011) with regard to identify of the forest cover and type. Furthermore, these results suggest that the Landsat TM and ETM+ data can reliable detect the forest type based upon the segmentation and object-oriented techniques. In generally, our study area is high-risky region to forest fires. It is higher influence to forest cover and tree species and other ecosystems. Overall, wildfire of impact results showed that 25239 ha of forests were changed to burnt area and 52603 ha forests were changed to grassland.

Download Full-text