Species assemblage of buprestid beetles in four hardwood cover types in Michigan

2017 ◽  
Vol 47 (8) ◽  
pp. 1131-1139 ◽  
Author(s):  
Kyle M. Redilla ◽  
Deborah G. McCullough
Keyword(s):  
Forest Cover ◽  
Woody Debris ◽  
Species Group ◽  
Species Assemblage ◽  
Baited Traps ◽  
Quercus Spp ◽  
Forest Cover Types ◽  
Wood Boring ◽  
Populus Spp ◽  
Manuka Oil

Information on species assemblages of metallic wood-boring beetles (Coleoptera: Buprestidae) in forested habitats in North America is relatively scarce, likely reflecting the difficulty of effectively trapping and accurately identifying species. We identified buprestid species captured on four baited traps placed in each of 12 sites representing four common forest cover types in five Michigan counties. Overstory vegetation was dominated by ash (Fraxinus spp.), maple (Acer spp.), oak (Quercus spp.), or poplar (Populus spp.) trees (three sites per cover type). A total of 1656 buprestids representing 28 species were captured on sticky purple prism traps baited with either cis-3-hexenol plus Manuka oil or 3R-hydroxyhexane-2-one plus ethanol from May to August 2014. Buprestid species richness ranged from 6 to 13 species per site. PERMANOVA results showed that buprestid species composition differed among forest cover types (P < 0.005). The invasive Agrilus sulcicollis Lacordaire and the native Chrysobothris femorata Olivier species group were significant indicators of oak sites, while Agrilus obsoletoguttatus Gory was a significant indicator of maple sites. Nonmetric multidimensional scaling showed that abundance of captured buprestids was influenced by availability of fresh snags and coarse woody debris. Our results indicate that trapping can provide an efficient means to assess assemblages of phloem- or wood-boring buprestids.

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

2008 ◽  
Vol 32 (2) ◽  
pp. 53-59 ◽  
Author(s):  
Jason R. Applegate
Keyword(s):  
Coarse Woody Debris ◽  
Forest Inventory ◽  
Forest Cover ◽  
Forest Type ◽  
Wildland Fire ◽  
Woody Debris ◽  
Forest Cover Type ◽  
Cover Type ◽  
Forest Cover Types ◽  
Structure Class

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.

Marten selection of postfire seres in the Alaskan taiga

1996 ◽  
Vol 74 (12) ◽  
pp. 2226-2237 ◽  
Author(s):  
Thomas F. Paragi ◽  
W. N. Johnson ◽  
Donald D. Katnik ◽  
Audrey J. Magoun
Keyword(s):  
Forest Cover ◽  
Woody Debris ◽  
Coniferous Forest ◽  
Canopy Cover ◽  
Future Research ◽  
Intensity Index ◽  
Hunting Behaviour ◽  
Tall Shrub ◽  
Harvest Strategy ◽  
Forest Cover Types

During 1991 – 1994 we tested whether martens (Martes americana) selectively used postfire seres in the Alaskan taiga and whether selection could be explained by differences in marten hunting behaviour, habitat, prey abundance, or demography. Forest seral stages included early-successional tall shrub – sapling (1985 burn), midsuccessional dense tree (1966 burn), and mature coniferous (100–115 years old). Most studies of marten – habitat relationships from lower latitudes suggest that martens require coniferous forest and avoid open areas. We found that martens did not select forest cover types or burn features at the stand scale (within the home range). However, marten abundance was greatest in the 1985 burn, which had the lowest canopy cover but the highest coarse woody debris density, autumn arvicoline biomass, and winter hunting intensity (index to foraging suitability). Martens in the 1985 burn were predominantly juvenile, with few adult (≥2 years old) females present. We hypothesize that our study area of predominantly early – midsuccessional forest was a "sink" for immature and transient martens dispersing from surrounding mature forest. If our hypothesis is correct and applies elsewhere in the taiga, then fur trapping for martens in recent burns could be a productive yet conservative harvest strategy. Future research should focus on habitat requirements of parturient females.

The forest resource of Labrador: Landsat Thematic Mapper imagery provides a unique and current perspective

1993 ◽  
Vol 69 (6) ◽  
pp. 667-671 ◽  
Author(s):  
John A. Drieman
Keyword(s):  
Forest Cover ◽  
Thematic Mapper ◽  
Landsat Thematic Mapper ◽  
Forest Resource ◽  
Visual Interpretation ◽  
Digital Format ◽  
Current Perspective ◽  
Colour Composite ◽  
Verification Process ◽  
Forest Cover Types

The need for a current, regional perspective of the forest of Labrador was identified. Mapping of forest cover types, peat-lands, recent burns and clearcut disturbances was accomplished through visual interpretation of 1:1,000,000 scale Landsat Thematic mapper colour composite transparencies and the transfer of interpreted polygons to a geographic information system. The mapping and verification process is described in this paper. The end product, a forest resource map, provides the most up-to-date and detailed information on Labrador's forest cover types and disturbances available on a single map. The digital format of the map facilities area summaries, viewing and printing.

scholarly journals Monitoring Land Cover Changes in the Disaster-Prone Area: A Case Study of Cangkringan Sub-District, the Flanks of Mount Merapi, Indonesia

2017 ◽  
Vol 31 (2) ◽  
pp. 209-219 ◽  
Author(s):  
Ronggo Sadono ◽  
Hartono Hartono ◽  
Mochammad Maksum Machfoedz ◽  
Setiaji Setiaji
Keyword(s):  
Land Cover ◽  
Forest Cover ◽  
Land Cover Changes ◽  
Annual Crops ◽  
The North ◽  
Detection Analysis ◽  
Prone Area ◽  
Cover Class ◽  
Forest Cover Types

Volcanic eruption is one of the natural factors that affect land cover changes. This study aimed to monitor land cover changes using a remote sensing approach in Cangkringan Sub-district, Yogyakarta, Indonesia, one of the areas most vulnerable to Mount Merapi eruption. Three satellite images, dating from 2001, 2006 and 2011, were used as main data for land cover classification based on a supervised classification approach. The land cover detection analysis was undertaken by overlaying the classification results from those images. The results show that the dominant land cover class is annual crops, covering 40% of the study area, while the remaining 60% consists of forest cover types, dryland farming, paddy fields, settlements, and bare land. The forests were distributed in the north, and the annual crops in the middle of the study area, while the villages and the rice fields were generally located in the south. In the 2001–2011 period, forests were the most increased land cover type, while annual crops decreased the most, as a result of the eruption of Mount Merapi in 2010. Such data and information are important for the local government or related institutions to formulate Detailed Spatial Plans (RDTR) in the Disaster-Prone Areas (KRB).

Forest Cover Types Classification Based on Online Machine Learning on Distributed Cloud Computing Platforms of Storm and SAMOA

2014 ◽  
Vol 955-959 ◽  
pp. 3803-3812
Author(s):  
Guang Di Li ◽  
Guo Yin Wang ◽  
Xue Rui Zhang ◽  
Wei Hui Deng ◽  
Fan Zhang
Keyword(s):  
Machine Learning ◽  
Forest Cover ◽  
Stream Processing ◽  
Processing Technique ◽  
Machine Learning Algorithms ◽  
Learning Tasks ◽  
Hoeffding Tree ◽  
Computing Platforms ◽  
Processing Platform ◽  
Forest Cover Types

Storm is the most popular realtime stream processing platform, which can be used to deal with online machine learning. Similar to how Hadoop provides a set of general primitives for doing batch processing, Storm provides a set of general primitives for doing realtime computation. SAMOA includes distributed algorithms for the most common machine learning tasks like Mahout for Hadoop. SAMOA is both a platform and a library. In this paper, Forest cover types, a large benchmaking dataset available at the UCI KDD Archive is used as the data stream source. Vertical Hoeffding Tree, a parallelizing streaming decision tree induction for distributed enviroment, which is incorporated in SAMOA API is applied on Storm platform. This study compared stream prcessing technique for predicting forest cover types from cartographic variables with traditional classic machine learning algorithms applied on this dataset. The test then train method used in this system is totally different from the traditional train then test. The results of the stream processing technique indicated that it’s output is aymptotically nearly identical to that of a conventional learner, but the model derived from this system is totally scalable, real-time, capable of dealing with evolving streams and insensitive to stream ordering.

scholarly journals Coarse Woody Debris in Oak Woodlands of California

2002 ◽  
Vol 17 (3) ◽  
pp. 139-146 ◽  
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.

scholarly journals A comparison of forest resource inventory, provincial land cover maps and field surveys for wildlife habitat analysis in the Great Lakes – St. Lawrence forest

2010 ◽  
Vol 86 (1) ◽  
pp. 77-86 ◽  
Author(s):  
Andrea J. Maxie ◽  
Karen F. Hussey ◽  
Stacey J. Lowe ◽  
Kevin R. Middel ◽  
Bruce A. Pond ◽  
...  
Keyword(s):  
Land Cover ◽  
Forest Cover ◽  
Satellite Image ◽  
Wildlife Habitat ◽  
Forest Resource ◽  
Habitat Analysis ◽  
Resource Inventory ◽  
Forest Resource Inventory ◽  
Land Cover Maps ◽  
Forest Cover Types

In a portion of central Ontario, Canada we assessed the classification agreement between field-based estimates of forest stand composition and each of two mapped data sources used in wildlife habitat studies, the Forest Resource Inventory (FRI) and satellite-image derived Provincial Land Cover (PLC). At two study areas, Algonquin Provincial Park (APP) and Wildlife Management Unit 49 (WMU49), we surveyed 119 forest stands and 40 water and wetland stands. Correspondence levels between FRI and field classifications were 48% in APP and 44% in WMU49 when assessing six forest cover types. With only four simplified forest cover types, levels improved to 77% in APP and 63% in WMU49. Correspondence between PLC and field classifications for three forested stand types was approximately 63% in APP and 55% in WMU49. Because of the poor to moderate level of correspondence we detected between map and field classifications, we recommend that care be exercised when FRI or PLC maps are used in forest and wildlife research and management planning. Key words: forest resource inventory, FRI, provincial land cover, PLC, Landsat Thematic Mapper, map accuracy, map correspondence, map agreement, Ontario, wildlife habitat

scholarly journals Validation of an Index System for Estimating Fireline Production With Handtools

1989 ◽  
Vol 65 (3) ◽  
pp. 190-193 ◽  
Author(s):  
Peter J. Murphy ◽  
Dennis Quintilio ◽  
Paul M. Woodard
Keyword(s):  
Forest Cover ◽  
Correlation Coefficients ◽  
Initial Attack ◽  
Production Rates ◽  
Local Conditions ◽  
Production Index ◽  
Behavioral Studies ◽  
Operational Application ◽  
Forest Cover Types ◽  
Northern Alberta

Production of hand-constructed fireline was simulated in 32 forest cover types and three slash fuel types in the boreal forest of northern Alberta. A total of 47 double trials were conducted in these 35 fuel types. The first trial simulated an initial attack situation, and the second a sustained attack situation. The results were used to test the validity of the fireline production index developed by Murphy and Quintilio (1978). Correlation coefficients between predicted and measured fireline production rates were 0.93 for initial attack simulations and 0.95 for sustained attack simulations. However, the predicted rates were consistently lower than observed rates, largely because of the methodologies used in classifying resistance categories, and the "over-achieving" syndrome common to participants in behavioral studies. We conclude the index is useful in providing consistent and desirably conservative estimates of handline production rates. These estimates could be adapted for operational application in other regions if they are verified for local conditions. Predictions will be further strengthened if based on data collected from actual fires rather than simulation tests.

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