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Journal of Forestry Research 2012年第1期23卷 23-28页

作者： mohammad raqibul hasan siddique Mahmood Hossain Md. Rezaul Karim Chowdhury Forestry and Wood Technology Discipline Khulna University Khulna-9208 Bangladesh

Tree biomass plays a key role in sustainable management by providing different aspects of ecosystem. Estimation of above ground biomass by non-destructive means requires the dex;elopment of allometric equations. Most researchers used DBH （diameter at breast height） and TH （total height） to develop allometric equation for a tree. Very few spe- cies-specific allometric equations are currently available for shrubs to estimate of biomass from measured plant attributes. Therefore, we used some of readily measurable variables to develop allometric equations such as girth at collar-height （GcH） and height of girth measuring point （GMH） with total height （TH） for A. rotundifolia, a mangrove species of Sundarbans of Bangladesh, as it is too dwarf to take DBH and too ir- regular in base to take Girth at a fixed height. Linear, non-linear and logarithmic regression techniques were tried to determine the best re- gression model to estimate the above-ground biomass of stem, branch and leaf. A total of 186 regression equations were generated from the combination of independent variables. Best fit regression equations were determined by examining co-efficient of determination （R：）, co-efficient of variation （Cv）, mean-square of the error （Ms^r）, residual mean error （Rmax）, and F-value. Multiple linear regression models showed more efficient over other types of regression equation. The performance of regression equations was increased by inclusion of GMn as an independ- ent variable along with total height and GCH.

关键词： Aegialitis rotundifolia allometry biomass mangroves sundarbans

Nutrient dynamics associated with leaf litter decomposition of three agroforestry tree species (Azadirachta indica, Dalbergia sissoo, and Melia azedarach) of Bangladesh

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Journal of Forestry Research 2011年第4期22卷 577-582页

作者： Mahmood Hossain mohammad raqibul hasan siddique Md. Saidur Rahman Md. Zaber Hossain Md. Mahedi hasan Forestry and Wood Technology Discipline Khulna University Khulna - 9208 Bangladesh Soil Science Discipline Khulna University Khulna-9208 Forestry and Wood Technology Discipline Khulna University Khulna- 9208

Azadirachta indica A. Juss, Dalbergia, sissoo Roxb., and Melia azedarach L. are little studied species in nutrient return capabilities from leaf litter decomposition to maintenance of the soil fertility despite their importance in agroforestry practices of Bangladesh. A leaf litter decomposition experiment was conducted using a litterbag teeh7 nique to assess the nutrient reaun efficiency of these species. The de- composition rate of leaf litter was highest for M. azedarach and lowest for D. sissoo. Rainfall and temperature of study sites showed a significant （p〈0.05） positive relationship with the rate of leaf litter decomposition. The highest decay constant was observed for M. azedarach （6.67）. Nitrogen and Phosphorus concentration in leaf litter showed a decreased trend sharply at the end of the first month, whereas rapid decrease of Potassium concentration was reported within 10 days. Conversely, higher concentration of nutrient was observed at the later stages of decomposition. All three species showed a similar pattern of nutrient release （K 〉 N 〉 P） during the decomposition process of leaf litter. Among the studied species, D. sissoo was best in terms of N and P return and A. indica was best in terms of K return.

关键词： agroforestry decay constant decomposition leaf litter andnutrient dynamics

Applicability of semi-destructive method to derive allometric model for estimating aboveground biomass and carbon stock in the Hill zone of Bangladesh

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Journal of Forestry Research 2020年第4期31卷 1235-1245页

作者： Hossain Mahmood mohammad raqibul hasan siddique S.M.Zahirul Islam S.M.Rubaiot Abdullah Henry Matieu Md.Zaheer Iqbal Mariam Akhter Forestry and Wood Technology Discipline Khulna UniversityKhulna 9208Bangladesh Forest Inventory Division Bangladesh Forest Research InstituteChittagong 4000Bangladesh Food and Agriculture Organization Rome 00153Italy Bangladesh Forest Department Bana bhabanAgargaonDhaka 1207Bangladesh

Biomass estimation using allometric models is a nondestructive and popular *** of an allometric model can influence the accuracy of biomass *** Forest Department initiated a nationwide forest inventory to assess biomass and carbon stocks in trees and *** relationship between carbon storage and sequestration in a forest has implications for climate change mitigation in terms of the carbon sink in *** part of the national forest inventory,we aimed to derive multi-species biomass models for the hill zone of Bangladesh and to determine the carbon concentration in tree components(leaves,branches,bark and stem).In total,175 trees of 14 species were sampled and a semi-destructive method was used to develop a biomass model,which included development of smaller branch(base dia<7 cm)biomass allometry and volume estimation of bigger branches and *** best model of leaf,branches,and bark showed lower values for adjusted R2(0.3152-0.8043)and model efficiency(0.436-0.643),hence these models were not recommended to estimate *** best fit model of stem and total aboveground biomass(TAGB)showed higher model efficiency 0.948 and 0.837,respectively,and this model was recommended for estimation of tree biomass for the hill zone of *** best fit allometric biomass model for stem was Ln(Stem)=-10.7248+1.6094*Ln(D)+1.323*Ln(H)+1.1469*Ln(W);the best fit model for TAGB was Ln(TAGB)=-6.6937+0.809*Ln(D^2*H*W),where DBH=Diameter at Breast Height,H=Total Height,W=Wood *** two most frequently used pan-tropical biomass models showed lower model efficiency(0.667 to 0.697)compared to our derived TAGB *** best fit TAGB model proved applicable for accurate estimation of TAGB for the hill zone of *** concentration varied significantly(p<0.05)by species and tree *** concentration(48-49%)of carbon was recorded in the tree stem.

关键词： Allometry Bangladesh Biomass Carbon Forest inventory

Above-Ground Biomass, Nutrients and Carbon in Aegiceras corniculatum of the Sundarbans

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Open Journal of Forestry 2016年第2期6卷 72-81页

作者： Mahmood Hossain Md. Al-Amin Shaikh Chameli Saha S. M. Rubaiot Abdullah Sanjoy Saha mohammad raqibul hasan siddique Forestry and Wood Technology Discipline Khulna University Khulna Bangladesh Centre for Integrated Studies on the Sundarbans Khulna University Khulna Bangladesh

Aegiceras corniculatum grows as single-stemmed evergreen shrub or small tree in the Sundarbans mangrove forest of Bangladesh. The objectives of this study were to derive the allometric models for estimating above-ground biomass, nutrients (N, P and K) and carbon stock in A. corniclatum. A total of 8 linear models (y = aX + b, , y = aLogX + b, Logy = aX + b, Logy = aLogX + b, y = alnX + b, Lny = aX + b and Lny = alnX + b) with 64 regression equations were tested to derive the allometric model for biomass of each plant part;and nutrients and carbon stock in total aboveground biomass. The best fit allometric models were selected by considering the values of R2, CV, Rmse, MSerror, Sa, Sb, F value, AICc and Furnival Index. The selected allometric models were Logbiomass = 0.76LogDBH2 - 1.39;Biomass = 0.07DBH2 - 0.49;Logbiomass = 1.04LogDBH2 - 1.80;Logbiomass = 1.04LogDBH2 - 0.99;= 0.48DBH - 0.13 for leaves, branches, bark, stem without bark and total above-ground biomass respectively. The selected allometric models for Nitrogen, Phosphorous, Potassium and Carbon stock in total above-ground biomass were = 0.67DBH + 0.11;= 0.94DBH + 0.08;= 1.06DBH - 0.18;= 0.33DBH - 0.09 respectively.

关键词： Allometry Biomass Carbon Nutrient Sundarbans

Salt Tolerance of <i>Xylocarpus mekongensis</i>Pierre: Survival and Growth of Seedlings, Nutrients and Carbon Distribution in Seedling Parts

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维普期刊数据库

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Open Journal of Forestry 2020年第3期10卷 293-306页

作者： Sanjoy Saha Mahmood Hossain Md. Sajib Hossain mohammad raqibul hasan siddique S. M. Rubaiot Abdullah Chameli Saha Institute for Integrated Studies on the Sundarbans and Coastal Ecosystems (IISSCE) Khulna University Khulna Bangladesh Forestry and Wood Technology Discipline Khulna University Khulna Bangladesh

Xylocarpus mekongensis Pierre is the important tree species of the Sundarbans. The present study was conducted to evaluate the effect of salinity on the survival and growth of X. mekongensis seedlings. The distributional patterns of nitrogen, phosphorus, potassium, sodium, and carbon in seedling parts were also examined in relation to salinity. Comparatively higher survival (95%) of seedlings was observed at non-saline to slightly saline conditions (0-5 PSU) and it was decreased to 78% at 35 PSU salinity. The relative growth rate (RGR) was higher at non-saline to slightly saline (0 to 5 PSU) conditions compared to higher salinity. Nutrients, sodium, and carbon concentration are found to vary significantly (p X. mekongensis has the capacity to tolerate higher saline condition but they grow well in non-saline to less saline conditions.

关键词： Growth Mangroves Nutrients Salinity Survival Xylocarpus mekongensis

Stem and Total Above-Ground Biomass Models for the Tree Species of Freshwater Wetlands Forest, Coastal Areas and Dry Areas of Bangladesh: Using a Non-Destructive Approach

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维普期刊数据库

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Open Journal of Forestry 2021年第2期11卷 73-82页

作者： Mahmood Hossain Chameli Saha Rakhi Dhali Srabony Saha mohammad raqibul hasan siddique S. M. Rubaiot Abdullah S. M. Zahirul Islam Forestry and Wood Technology Discipline Khulna University Khulna Bangladesh Research Officer Forest Inventory Division Bangladesh Forest Research Institute Chittagong Bangladesh

Biomass and carbon stock in a forested areas are now prime important indicators of forest management and climate change mitigation measures. But the accurate estimation of biomass and carbon in trees of forests is now a challenging issue. In most cases, pantropical and regional biomass models are used frequently to estimate biomass and carbon stock in trees, but these estimations have some uncertainty compared to the species-specific allometric biomass model. Acacia nilotica, Casuarina equisetifolia and Melia azedarach have been planted in different areas of Bangladesh considering the species-specific site requirements. While Barringtonia acutangula and Pongamia pinnata are the dominant tree species of the freshwater swamp forest of Bangladesh. This study was aimed to develop species-specific allometric biomass models for estimating stem and above ground biomass (TAGB) of these species using the non-destructive method and to compare the efficiency of the derived biomass models with the frequently used regional and pantropical biomass models. Four Ln-based

关键词： Allometry Biomass Freshwater Wetlands Coastal Areas Dry Areas

Development and Evaluation of Species-Specific Biomass Models for Most Common Timber and Fuelwood Species of Bangladesh

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维普期刊数据库

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Open Journal of Forestry 2020年第1期10卷 172-185页

作者： Mahmood Hossain mohammad raqibul hasan siddique S. M. Rubaiot Abdullah Chameli Saha S. M. Zahirul Islam Md. Zaheer Iqbal Mariam Akhter Forestry and Wood Technology Discipline Khulna University Khulna Bangladesh Forest Inventory Division Bangladesh Forest Research Institute Chittagong Bangladesh Deputy Conservator of Forests Bangladesh Forest Department Dhaka Bangladesh Bangladesh Forest Department Assistant Conservator of Forest Bangladesh Forest Department Dhaka Bangladesh

Allometric biomass models are efficient tools to estimate biomass of trees and forest stands in a non-destructive way. Development of species-specific allometric biomass models requires extensive fieldwork and time. Our study aimed to generate species-specific allometric biomass models for the most common fuelwood and timber species of Bangladesh. We also wanted to evaluate the performances of our models relative to the performances of regional and commonly used pan-tropical biomass models. We used semi-destructive method that incorporates tree-level volume, species-specific biomass expansion factor (BEF), and wood density. We considered four base models, 1) Ln (biomass) = a + bLn (D);2) Ln (biomass) = a + bLn (H);3) Ln (Biomass) = a + bLn (D^2H);4) Ln (Biomass) = a + bLn (D) + cLn (H) to develop species-specific best-fitted models for Total Above-Ground Biomass (TAGB) and stem biomass. The best-fitted model for each species was selected by the lowest value of Akaike Information Criterion (AIC), Residual Standard Error (RSE) and Root Mean Square Error (RMSE). The derived best-fitted models were then evaluated with respect to regional and pan-tropical models using a separate set of observed data. This evaluation was conducted by computing ME (Model Efficiency) and MPE (Model Prediction Error). The best-fitted allometric biomass models have shown higher model efficiency (0.85 to 0.99 at scale 1) and the lowest model prediction error (-8.94% to 5.27%) compared to the regional and pan-tropical models. All the examined regional and pan-tropical biomass models showed different magnitude of ME and MPE. Some models showed higher level (>0.90 at scale 1) of ME compared to the best-fitted specific species biomass model.

关键词： Allometry Bangladesh Biomass Fuelwood Timber Pan-Tropical Model Regional Common Model

A multi-purpose National Forest Inventory in Bangladesh:design,operationalisation and key results

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维普期刊数据库

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Forest Ecosystems 2021年第1期8卷 151-172页

作者： Matieu Henry Zaheer Iqbal Kristofer Johnson Mariam Akhter Liam Costello Charles Scott Rashed Jalal Md.Akhter Hossain Nikhil Chakma Olaf Kuegler Hossain Mahmood Rajib Mahamud mohammad raqibul hasan siddique Khaled Misbahuzzaman mohammad Main Uddin Mohammed Al Amin Farid Uddin Ahmed Gael Sola Md.Baktiar Siddiqui Luca Birigazzi Mahmudur Rahman Ilias Animon Saimunnahar Ritu Laskar Muqsudur Rahman Aminul Islam Heather Hayden Frida Sidik Mondal Falgoonee Kumar Rakibul Hassan Mukul Hossain Nishad Ariful Hoque Belal Asif Reza Anik Abdul Khaleque Md.Shaheduzzaman Syed Shahadat Hossain Tariq Aziz Md.Tauhidor Rahaman Ruhul Mohaiman Patrick Meyer Purnata Chakma A.Z.M.Manzoor Rashid Sourav Das Shrabanti Hira Mohammed Jashimuddin mohammad Mahfuzur Rahman Karl Wurster Sarder Nasir Uddin Abul Kalam Azad S.M.Zahirul Islam Laurent Saint-André Food and Agriculture Organization of the United Nations Viale delle Terme di Caracalla00153 RomeItaly Forest Department Ministry of EnvironmentForests and Climate ChangeBan BhabanShere Bangla NagarAgargaonDhaka 1207Bangladesh School of Ecosystem and Forest Sciences University of MelbourneParkville VictoriaMelbourne 3010Australia United States Forest Service(USFS)/SilvaCarbon WashingtonD.CUSA Institute of Forestry and Environmental Sciences(IFES) University of ChittagongChattogramBangladesh Department of Forestry and Environmental Science Rangamati Science and Technology UniversityRangamatiBangladesh Forestry and Wood Technology Discipline Khulna UniversityKhulnaBangladesh School of Biological Sciences The University of QueenslandQLDBrisbane 4072Australia Arannyak Foundation DhakaBangladesh United Nations Framework Convention on Climate Change(UNFCCC) BonnGermany Bangladesh Space Research and Remote Sensing Organization(SPARRSO) DhakaBangladesh Institute for Marine Research and Observation Ministry of Marine Affairs and FisheriesNegaraBaliIndonesia Department of Agricultural Economics Bangabandhu Sheikh Mujibur Rahman Agricultural University(BSMRAU)GazipurBangladesh Bangladesh Bureau of Statistics(BBS) DhakaBangladesh Institute of Statistical Research and Training University of DhakaDhakaBangladesh United States Agency for International Development(USAID) DhakaBangladesh Department of Forestry and Environmental Science Shahjalal University of Science and TechnologyKumargaonSylhetBangladesh Department of Biological Sciences Faculty of Science and EngineeringMacquarie UniversitySydneyAustralia Bangladesh National Herbarium(BNH) Zoo RoadMirpurDhakaBangladesh Bangladesh Forest Research Institute(BFRI) SholoshaharChottogramBangladesh National Research Institute for Agriculture Food and Environment(INRAE)ParisFrance

Background:National forest inventory and forest monitoring systems are more important than ever considering continued global degradation of trees and *** systems are especially important in a country like Bangladesh,which is characterised by a large population density,climate change vulnerability and dependence on natural *** the aim of supporting the Government’s actions towards sustainable forest management through reliable information,the Bangladesh Forest Inventory(BFI)was designed and implemented through three components:biophysical inventory,socio-economic survey and remote sensing-based land cover *** article documents the approach undertaken by the Forest Department under the Ministry of Environment,Forests and Climate Change to establish the BFI as a multipurpose,efficient,accurate and replicable national forest *** design,operationalization and some key results of the process are ***:The BFI takes advantage of the latest and most well-accepted technological and methodological ***,it was designed through a collaborative process which drew from the experience and knowledge of multiple national and international ***,1781 field plots were visited,6400 households were surveyed,and a national land cover map for the year 2015 was *** technological enhancements include a semi-automated segmentation approach for developing the wall-to-wall land cover map,an object-based national land characterisation system,consistent estimates between sample-based and mapped land cover areas,use of mobile apps for tree species identification and data collection,and use of differential global positioning system for referencing plot ***:Seven criteria,and multiple associated indicators,were developed for monitoring progress towards sustainable forest management goals,informing management decisions,and national and international reporting needs.A wide range of biophysica

关键词： South-Asia Forest monitoring Innovation Remote sensing Socio-economic Partnership Ecosystem services Carbon sequestration

Origin of Quartz Cement in the Paleogene Sandstone Reservoir of Shahejie Formation,Bohai Bay Basin,China

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Acta Geologica Sinica(English Edition) 2022年第1期96卷 248-260页

作者： Muhammad KASHIF CAO Yingchang Nizam Ud DIN Uzair siddique XI Kelai Faisal REHMAN Noor AHMED GU Xihao mohammad Saleh GAGHMAN Department of Earth sciences University of SargodhaSargodha 40100Pakistan School of Geosciences China University of PetroleumQingdaoShandong 266580China College of Earth sciences and Engineering Hohai UniversityNanjing 210098China Institute of Marine Geology and Resources Ocean CollegeZhejiang UniversityZhoushanZhejiang 316021China Department of Earth sciences Quaid-I-Azam UniversityIslamabad 45320Pakistan

The precipitation of authigenic quartz plays a significant role to reduce the reservoir characteristics and enhance the stiffness of the *** Es_(1) sandstone of Shahejie Formation is acting as a significant hydrocarbon producing rock in the Nanpu *** methods like thin section petrography,cathodoluminescence(CL),scanning electron microscope(SEM,with EDS),and electron microprobe analysis has been used to reveal the origin of quartz cement as well as to evaluate the effect of quartz cement on reservoir *** studied sandstone is classified as immature to mature feldspathic litharenite and lithic arkose and consists of quartz,feldspar,rock fragments and *** studies and SEM analysis shows that the authigenic quartz is acting a significant cement that reduces the reservoir *** clay minerals(kaolinite and mixed layer illite to smectite)are dominant in the Es_(1) sandstone,that can reduce the reservoir ***,CL and thin section analysis reveal that there are two stages of quartz cement in the studied samples;that are pore filling authigenic cement and quartz overgrowth *** inclusion homogenization temperatures shows that stages of quartz cement were developed with continuous process from 70℃ to 130℃.Quartz cements were generally originated from I/S reaction,feldspar dissolution,conversion of rock fragments and pressure *** dissolution(K-feldspar)and kaolinite to illite reaction is an insignificant silica source for the silica cement which is internally precipitated in a close system with diffusion transporting ***,quartz cement significantly enhance the rock strengthen and brittleness effectively as well as it reduce the overall reservoir quality.

关键词： origin authigenic quartz silica sources diffusion Shahejie Formation

IoT and Blockchain-Based Mask Surveillance System for COVID-19 Prevention Using Deep Learning

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Computers, Materials & Continua 2022年第7期72卷 2033-2053页

作者： Wahidur Rahman Naif Al Mudawi Abdulwahab Alazeb Muhammad Minoar Hossain Saima siddique Tashfia MdTarequl Islam Shisir Mia mohammad Motiur Rahman Department of Computer Science and Engineering Mawlana Bhashani Science and Technology UniversityTangailBangladesh Department of Computer Science Najran UniversityNajran55461Saudi Arabia

On the edge of the worldwide public health crisis,the COVID-19 disease has become a serious headache for its destructive nature on humanity *** a facial mask can be an effective possible solution to mitigate the spreading of the virus and reduce the death ***,wearing a face mask in public places such as shopping malls,hotels,restaurants,homes,and offices needs to be *** research work comes up with a solution of mask surveillance system utilizing the mechanism of modern computations like Deep Learning(DL),Internet of things(IoT),and *** absence or displacement of the mask will be identified with a raspberry pi,a camera module,and the operations of DL and Machine Learning(ML).The detected information will be sent to the cloud server with the mechanism of IoT for real-time data *** proposed model also includes a Blockchain-based architecture to secure the transactions of mask detection and create efficient data security,monitoring,and storage *** research further includes an IoT-based mask detection scheme with signal bulbs,alarms,and notifications in the *** find the efficacy of the proposed method,a set of experiments has been enumerated and *** research work finds the highest accuracy of 99.95%in the detection and classification of facial *** related experiments with IoT and Block-chain-based integration have also been performed and calculated the corresponding experimental data *** Scale(SUS)has been accomplished to check the satisfaction level of use and found the SUS score of 77%.Further,a comparison among existing solutions on three emergent technologies is included to track the significance of the proposed ***,the proposed system can be an efficient mask surveillance system for COVID-19 and workable in real-time mask detection and classification.

关键词： Internet of things(IoT) blockchain deep learning feature reduction surveillance system