Zobrazeno 1 - 10
of 181
pro vyhledávání: '"John A. Kershaw"'
Publikováno v:
Forest Ecosystems, Vol 11, Iss , Pp 100171- (2024)
Volume is an important attribute used in many forest management decisions. Data from 83 fixed-area plots located in central New Brunswick, Canada, are used to examine how different measures of stand-level diameter and height influence volume predicti
Externí odkaz:
https://doaj.org/article/d54cb241507549b2937ac411f4d8a2eb
Autor:
Mark J. Ducey, John A. Kershaw, Jr.
Publikováno v:
Forest Ecosystems, Vol 10, Iss , Pp 100114- (2023)
Quadratic mean diameter is the most frequently reported descriptor of the diameter distribution of forests. As such, it is often used as an indicator of forest stand structure, developmental stage, and ecological and economic potential. However, quad
Externí odkaz:
https://doaj.org/article/7a5956201a9d4b66bb493af1652b0630
Publikováno v:
Наукові праці Лісівничої академії наук України, Vol 19, Pp 163-170 (2019)
Białowieża, a national treasure to the people of Poland and a unique ecosystem of historical significance, has become a site of an intense international debate, following a large scale Bark Beetle outbreak. The controversy centers around two opposi
Externí odkaz:
https://doaj.org/article/01fb2287aa48437d8726b37fa0998492
Publikováno v:
Forest Ecosystems, Vol 6, Iss 1, Pp 1-11 (2019)
Abstract Background To accurately and efficiently quantify forest carbon stocks, a good forest inventory using appropriate sampling that minimizes costs and human effort is needed for landowners who want to enter carbon offset markets. The most commo
Externí odkaz:
https://doaj.org/article/a5ed01afee2241f3bcd68683e6b29783
Publikováno v:
Canadian Journal of Remote Sensing, Vol 45, Iss 1, Pp 88-112 (2019)
The authors developed a series of ecological metrics (EM) based on mechanistic principles for quantifying light detection and ranging (LiDAR) to develop forest inventories. These fall into 5 categories: canopy height, canopy complexity, individual tr
Externí odkaz:
https://doaj.org/article/ca679212d3ee477a83dd52d26fc37f46
Autor:
Elias Ayrey, Daniel J. Hayes, John B. Kilbride, Shawn Fraver, John A. Kershaw, Bruce D. Cook, Aaron R. Weiskittel
Publikováno v:
Remote Sensing, Vol 13, Iss 24, p 5113 (2021)
Light detection and ranging (LiDAR) has become a commonly-used tool for generating remotely-sensed forest inventories. However, LiDAR-derived forest inventories have remained uncommon at a regional scale due to varying parameters among LiDAR data acq
Externí odkaz:
https://doaj.org/article/29c720b9d56141bdb4218bf449cf6518
Publikováno v:
Forest Ecosystems, Vol 4, Iss 1, Pp 1-13 (2017)
Abstract Background A novel approach to modelling individual tree growth dynamics is proposed. The approach combines multiple imputation and copula sampling to produce a stochastic individual tree growth and yield projection system. Methods The Nova
Externí odkaz:
https://doaj.org/article/0103c1775a2849b3a8350aac805f6a4d
Autor:
Elias Ayrey, Shawn Fraver, John A. Kershaw, Laura S. Kenefic, Daniel Hayes, Aaron R. Weiskittel, Brian E. Roth
Publikováno v:
Canadian Journal of Remote Sensing, Vol 43, Iss 1, Pp 16-27 (2017)
As light detection and ranging (LiDAR) technology advances, it has become common for datasets to be acquired at a point density high enough to capture structural information from individual trees. To process these data, an automatic method of isolati
Externí odkaz:
https://doaj.org/article/8ab21ea8fa164c6f8d1813d627ffd9bb
Publikováno v:
Canadian Journal of Forest Research. 51:1688-1697
Light detection and ranging (LiDAR) is used to estimate tree, stand, and forest characteristics across large geographic areas. In the province of Nova Scotia, an enhanced forest inventory (EFI) was developed to provide high-resolution spatial forest
Publikováno v:
Canadian Journal of Forest Research. 51:1140-1147
Using a two-phase sampling approach with systematic selection of large samples of covariates followed by a sampling with probability proportional to prediction (3P sampling) process to subsample field measures of the parameters of interest can be an