John A. Scrivani

ORCID: 0000-0002-1247-3396
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Remote Sensing and LiDAR Applications
  • Forest ecology and management
  • Remote Sensing in Agriculture
  • Plant and Fungal Interactions Research
  • Forest Management and Policy
  • Forest Biomass Utilization and Management
  • Horticultural and Viticultural Research
  • Nuts composition and effects
  • Plant Water Relations and Carbon Dynamics
  • Plant Pathogens and Fungal Diseases
  • Forest Insect Ecology and Management
  • Geographic Information Systems Studies
  • Land Use and Ecosystem Services
  • Remote-Sensing Image Classification
  • Tree-ring climate responses
  • Forest Ecology and Biodiversity Studies
  • Fire effects on ecosystems
  • Rangeland and Wildlife Management

The American Chestnut Foundation
2022-2025

Virginia Information Technologies Agency
2015

GTx (United States)
2004

Virginia Tech
1989

Abstract The principal study objective was to explore the feasibility of using small-footprint lidar data and multispectral imagery estimate forest volume biomass on small (0.017-ha) plots. In addition, spatial dependency residuals between ground-measured lidar-estimated variables investigated. set acquired over deciduous pine stands in southeastern United States. Individual trees were identified lidar-derived canopy height model by local maximum focal filtering with both square circular...

10.1093/forestscience/50.4.551 article EN Forest Science 2004-08-01

Restoration of foundation species, such as the American chestnut (Castanea dentata) that was devastated by an introduced fungus, can restore ecosystem function. Understanding both current distribution well biogeographic patterns is important for restoration planning. We used United States Department Agriculture Forest Service Inventory and Analysis data to quantify density C. dentata. then review literature concerning in Currently, 431 ± 30.2 million stems remain. The vast majority (360 22...

10.3390/f7010004 article EN Forests 2015-12-24

Over a century after two introduced pathogens decimated American chestnut populations, breeding programs continue to incorporate resistance from Chinese recover self-sustaining populations. Due complex genetics of blight resistance, it is challenging obtain trees with sufficient and competitive growth. We developed high quality reference genomes for leveraged large disease phenotype genotype datasets develop accurate genomic selection. Inoculation simulation results indicate that may be...

10.1101/2025.01.30.635736 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2025-02-01

This study evaluated the potential of an object-oriented approach to forest type classification as well volume and biomass estimation using small-footprint, multiple return lidar data. The was applied coniferous, deciduous, mixed stands in Virginia Piedmont, U.S.A. A multiresolution, hierarchical segmentation algorithm a canopy height model (CHM) delineate objects ranging from 0.035 5.632 ha/average object. Per-object point (per intensity) CHM distributional parameters were used input...

10.14358/pers.74.8.1033 article EN cc-by-nc-nd Photogrammetric Engineering & Remote Sensing 2008-08-01

American chestnut (Castanea dentata) was once the most economically and ecologically important hardwood species in eastern United States. In first half of 20th century, an exotic fungal pathogen-Cryphonectria parasitica-decimated species, killing billions trees. Two approaches to developing blight-resistant populations show promise, but both will require introduction adaptive genomic diversity from wild germplasm produce diverse, locally adapted restoration populations. Here we characterize...

10.1111/mec.16629 article EN publisher-specific-oa Molecular Ecology 2022-07-26

Crown ratio was incorporated into four Douglas-fir (Pseudotsugamenziesii (Mirb.) Franco) total-stem cubic volume equations as a nonlinear multiplier. Two of the are traditional linear equations, one is nonlinear, and new component approach that divides stem above below breast height. These with without crown terms, were fitted to modeling data set, statistical significance terms examined. All then applied validation set for comparison their predictive abilities. The term proved be highly...

10.1139/x87-003 article EN Canadian Journal of Forest Research 1987-01-01

USDA Forest Service Inventory and Analysis (FIA) forest area estimates were derived from 4 Landsat ETMimages in Virginia Minnesota classified using an automated hybrid classifier known as Iterative Guided Spectral Class Rejection (IGSCR). Training data collected region- growing initiated at random points within each image. The images spatially post-processed five different techniques. Image accuracy was assessed the center land-use of all available FIA plots subsets contain- ing with 50, 75...

10.14358/pers.72.8.949 article EN cc-by-nc-nd Photogrammetric Engineering & Remote Sensing 2006-08-01

American chestnut ( Castanea dentata ) was once the most economically and ecologically important hardwood species in United States. In first half of 20th century, an exotic fungal pathogen – Cryphonectria parasitica decimated species, killing approximately four billion trees. Two approaches to developing blight resistant populations show promise, but both will require introduction adaptive genomic diversity from wild germplasm produce diverse, locally adapted reforestation populations. Here...

10.1101/2022.02.11.480151 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2022-02-13

Journal Article Computer Corner: An Algorithm for Generating "Exact" Girard Form Class Volume Table Values Get access John A. Scrivani 1Department of Forestry, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061 Search other works by this author on: Oxford Academic Google Scholar Northern Applied 6, Issue 3, September 1989, Pages 140–142, https://doi.org/10.1093/njaf/6.3.140 Published: 01 1989

10.1093/njaf/6.3.140 article EN Northern Journal of Applied Forestry 1989-09-01
Coming Soon ...