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The Genesis and Paradigm Shift in Forest Inventory: Bangladesh Chapter

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Open Journal of Forestry 2022年第4期12卷 443-458页

作者： mahmood hossain Forestry and Wood Technology Discipline Khulna University Khulna Bangladesh

Bangladesh (Indo-Bangladesh to independent Bangladesh) has more than 250 years of history in forest inventory. The Boundary demarcation of the Sundarbans forest in 1764 was the first record of forest inventory. A total of 30 inventories have been recorded that were started to form the boundary demarcation to complex biodiversity, biomass, and carbon stock assessment. These inventories used simple cartographic to complex satellite image processing techniques, software base data/information collection methods, and sophisticated statistical procedures in data analysis. Eventually, the history of the forest inventory of Bangladesh is about 100 years older than the history of forest management. This study aimed to classify the inventories into distinct time frames based on outputs and align them with the motive of rulers, existing forest policy, and contemporary global and national issues. The historical records forest inventory has been divided into four distinct periods, e.g., Mid eighteenth to the late nineteenth century: 1764-1876;Early twenty century: 1905-1924;Mid-twenty to late twenty century: 1958-2000;and Early twenty-first century: 2001-present). The objectives/outputs of each inventory were highly linked with the motive of rulers, policy statements, available technologies, and recent issues from national and global perspectives.

关键词： Biomass Stocking Carbon Assessment Forest Policy Inventory Sustainable Management Volume Stocking

Allometric relationship for estimating above-ground biomass of Aegialitis rotundifolia Roxb. of Sundarbans mangrove forest, in Bangladesh

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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

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

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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

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

Is the Sundarbans of Bangladesh in a State of Pollution?

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Open Journal of Forestry 2024年第1期14卷 19-41页

作者： mahmood hossain Chameli Saha Sanjoy Saha Hawlader Mohammed Nurul Islam Mushfiq Ahmed Tanvir Ahmed Abdul Halim Farhad Sikder Md. Mutasim Billah Forestry and Wood Technology Discipline Khulna University Khulna Bangladesh Institute for Integrated Studies on the Sundarbans and Coastal Ecosystems (IISSCE) Khulna University Khulna Bangla-desh Ecology Forestry and Biodiversity Division Center for Environmental and Geographic Information Services (CEGIS) Dhaka Bangladesh

The Sundarbans is the world’s most extensive natural mangrove forest and home to various natural resources. The population in the vicinity has increased, causing more dependency on the resources of the Sundarbans. The increasing industrialization, urbanization, aquaculture, intensive agricultural practices, seaports, tourism facilities, and so on in the peripheral areas of the Sundarbans have made significant changes in the surrounding and upstream land uses of the Sundarbans. This situation may have detrimental influences on the ecosystem components of the Sundarbans. Therefore, it is highly demanded to prepare a piece of baseline information or database of different sources of pollution and their present status in the various components of the Sundarbans. This effort helps to identify issues and concerns, determine the key elements of the ecosystem to monitor the level or overall quality of the Sundarbans ecosystem. The present study systematically collects the potential sources of pollution, types, and current levels in the ecosystem components of the Sundarbans using academic databases, libraries, and online resources. Discharge of industrial waste into water, soil and air, heavy metal pollution, use of agrochemicals, oil (refined and crude) pollution, plastic materials from urban areas, and tourism are the major issues and concerns related to the sustainability of the Sundarbans ecosystem. The air quality of the Sundarbans is in good condition with 0 - 50 AQI of Bangladesh. While BOD, COD, TDS, TSS varied from 2.0 to 3.8 mg/L, 21.6 to 416 mg/L, 146.9 to 24,100 mg/L and 54 to 155 mg/L, respectively. Soil EC, organic carbon, total nitrogen, and total phosphorus ranged from 3.01 - 5.82 mS/cm, 1.41% - 2.69%, 0.51 - 1.05 mg/g, and 0.32 - 0.51 mg/g respectively. The air, water and soil quality parameters varied with the sites and seasons and not much at the state of contamination. Indeed, we must pay much attention to the Sundarbans’ air, water and soil quality with

关键词： Ecosystem Mangroves Monitoring Pollution Soil Sundarbans

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

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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

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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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