Estimation of a basal area growth model for individual trees in uneven-aged Caspian mixed species forests

Mohammadi, Zohreh; Limaei, Soleiman Mohammadi; Lohmander, Peter; Olsson, Leif

doi:10.1007/s11676-017-0556-7

Cited by 15 publications

(8 citation statements)

References 11 publications

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“…This information is routinely collected by most forest-monitoring networks. In the absence of BA and DBH measurements, there are LiDAR-based and data-processing techniques that can be used to generate the required information at enhanced spatial resolutions [46][47][48]. The machine learning methods have been proven to be effective methods for different types of environmental research.…”

Section: Discussionmentioning

confidence: 99%

A Semi-empirical Approach Based on Genetic Programming for the Study of Biophysical Controls on Diameter-Growth of Fagus orientalis in Northern Iran

et al. 2019

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This paper examines the possible ecological controls on the diameter increment of oriental beech (Fagus orientalis Lipsky) in a high altitude forest in northern Iran. The main objectives of the study are computer-generated abiotic surfaces and associated plot estimates of (i) growing-season-cumulated potential solar radiation, (ii) seasonal air temperature, (iii) topographic wetness index in representing soil water distribution, and (iv) wind velocity generated from the simulation of fluid-flow dynamics in complex terrain. Plot estimates of the tree growth are based on averaged plot measurements of diameter at breast height increment during a growing period of nine years (2003–2012). Biotic variables related to the tree diameter increment involve averaged 2003 tree diameter and basal area measured in individual forest plots. In the modelling data (144 plots), the assemblage of modelled and observed site variables explained 75% of the variance in plot-level diameter increment. In the validation data (32 plots), the degree of explained variance was 77%. Mean tree diameter at breast height showed the strongest correlation with diameter increment, explaining 32% of the variation between-plot, followed by the configuration of topography and re-distribution of surface water (19.5%) and plot basal area (16.9%). On average, localised estimates of solar radiation and wind velocity potentially contribute to about 20% of the control on plot-level mean increment in oriental beech of the area. The results of the genetic programming showed that controlling the stand basal area and tree size by thinning and/or selective harvesting can have a favourable impact on the future distribution of mean diameter in oriental beech.

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Section: Discussionmentioning

confidence: 99%

A Semi-empirical Approach Based on Genetic Programming for the Study of Biophysical Controls on Diameter-Growth of Fagus orientalis in Northern Iran

et al. 2019

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“…Secondly, such CSPs are selected whose running and waiting time is lower to get good performance. [29][30][31][32]…”

Section: External Cspsmentioning

confidence: 99%

“…To overcome this issue, a geographical radius may be selected in which resources can be hired. Secondly, such CSPs are selected whose running and waiting time is lower to get good performance 29‐32 …”

Section: System Modelmentioning

confidence: 99%

Smart workload migration on external cloud service providers to minimize delay, running time, and transfer cost

Badshah

Ghani

Irshad³

et al. 2020

Int J Communication

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Summary With limited resources, overutilization is a challenging issue in the emerging system of smart devices, resulting in higher costs, poor performance and low prices due to service level agreement (SLA) violations. These factors extremely annoy the customers as well as providers. External resources are hired to overcome the resources scalability challenges; however, external resources cause higher delay, running time, and transfer cost. The lift in delay explicitly means more cost and more customers dissatisfaction. The delay and transfer cost increases with geographical distance and overutilization. In this article, a mechanism is proposed to make efficient migration decisions to external cloud service providers (CSPs) to minimize the delay, running time, and transfer cost by searching an optimum data center (DC), where the resources may be taken with optimum conditions. The Cloud Analyst is extended to simulate the proposed framework. Results were calculated for three different phenomena, where hiring the resources from underutilized DC decreases the running time to 0.237 ms; however, the response time and transfer cost increases to 499 ms and 0.228 $, respectively; similarly, getting the resources of nearest DC drops the delay time and transfer cost to 80 ms and 0.065 $ respectively; however, the execution time increases to 0.500 ms. The proposed framework optimized the delay time, execution time and transfer cost to 50 ms, 0.237 ms, and 0.065 $, respectively.

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“…Collected data for making the GP model were annual growth and stock of each species, carbon sequestration, price and cost of wood transportation, logging, and required labour to manage forest. Annual growth data was collected from previous research in order to determine the growth function (Bonyad 2005;Mohammadi et al 2018). In addition, we used allometric equations to determine the sequestered carbon data (Kabirin Koupaei 2009).…”

Section: Data Collectionmentioning

confidence: 99%

Forest management decision-making using goal programming and fuzzy analytic hierarchy process approaches (case study: Hyrcanian forests of Iran)

Etemad¹,

Limaei²,

Olsson³

et al. 2019

J. For. Sci.

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The aim of this study is to determine the optimum stock level in the forest. In this research, a goal programming method was used to estimate the optimal stock level of different tree species considering environmental, economic and social issues. We consider multiple objectives in the process of decision-making to maximize carbon sequestration, net present value and labour. We used regression analysis to make a forest growth model and allometric functions for the quantification of carbon budget. Expected mean price is estimated using wood price and variable harvesting costs to determine the net present value of forest harvesting. The fuzzy analytic hierarchy process is applied to determine the weights of goals using questionnaires filled in by experts in order to generate the optimal stock level. According to the results of integrated goal programming approach and fuzzy analytic hierarchy processes, optimal volume for each species was calculated. The findings indicate that environmental, economic and social outcomes can be achieved in a multi-objective forestry program for the future forest management plans.

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Estimation of a basal area growth model for individual trees in uneven-aged Caspian mixed species forests

Cited by 15 publications

References 11 publications

A Semi-empirical Approach Based on Genetic Programming for the Study of Biophysical Controls on Diameter-Growth of Fagus orientalis in Northern Iran

A Semi-empirical Approach Based on Genetic Programming for the Study of Biophysical Controls on Diameter-Growth of Fagus orientalis in Northern Iran

Smart workload migration on external cloud service providers to minimize delay, running time, and transfer cost

Forest management decision-making using goal programming and fuzzy analytic hierarchy process approaches (case study: Hyrcanian forests of Iran)

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