Amna Hussain

Ms. Amna Hussain

Northeast Forestry University Harbin
orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 November 2020 in Scandinavian Journal of Forest Research
Verified
Journal Article
Closed access
AHAmna Hussain
Amna Hussain
MSMuhammad Khurram Shahzad
Muhammad Khurram Shahzad
PHPei He
Pei He
LJLichun Jiang
Lichun Jiang
Dahurian larch (Larix gmelinii Rupr.), Korean spruce (Picea koraiensis Nakai), and Manchurian fir (Abies nephrolepis Maxim) are valuable tree species of northeast China. Management tools are required for these species to support the industrial and ecological development of forest ecosystems of China. This study aimed to develop taper equations for these species. Five well-known taper equations from two groups (segmented and variable form taper models) were evaluated using the fixed- and mixed-effect modeling. The models were independently fitted utilizing diameter and height datasets comprising 473 trees. A third-order continuous autoregressive error structure (CAR (3)) was used to account for autocorrelation. The model of Clark et al. (1991. Stem profile equations for southern tree species. Asheville, NC: USDA Forest Service. Research Paper, SE-282. doi:10.2737/SE-RP-282) was superior to other models for estimating diameter, merchantable volume, and stem volume when upper stem diameter at 5.3 m was available or predicted. After model comparison, the best Clark et al. (1991) model was refitted as a nonlinear mixed-effects model. This study also demonstrated that the fixed-effect model of Clark et al. (1991) was more accurate than Kozak (2004) mixed model when the later was calibrated for upper stem diameter at 5.3 m with validation data.

1 January 2021 in CERNE
Verified
Journal Article
Open access
AHAmna Hussain
Amna Hussain
MSMuhammad Khurram Shahzad
Muhammad Khurram Shahzad
LJLichun Jiang
Lichun Jiang
FLFengri Li
Fengri Li