Добірка наукової літератури з теми "Tropical Peat Swamp"

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Статті в журналах з теми "Tropical Peat Swamp"

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Hirano, Takashi, Kitso Kusin, Suwido Limin, and Mitsuru Osaki. "Evapotranspiration of tropical peat swamp forests." Global Change Biology 21, no. 5 (June 27, 2014): 1914–27. http://dx.doi.org/10.1111/gcb.12653.

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Page, S. E., J. O. Rieley, Ø. W. Shotyk, and D. Weiss. "Interdependence of peat and vegetation in a tropical peat swamp forest." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 354, no. 1391 (November 29, 1999): 1885–97. http://dx.doi.org/10.1098/rstb.1999.0529.

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The visual uniformity of tropical peat swamp forest masks the considerable variation in forest structure that has evolved in response to differences and changes in peat characteristics over many millennia. Details are presented of forest structure and tree composition of the principal peat swamp forest types in the upper catchment of Sungai Sebangau, Central Kalimantan, Indonesia, in relation to thickness and hydrology of the peat. Consideration is given to data on peat geochemistry and age of peat that provide evidence of the ombrotrophic nature of this vast peatland and its mode of formation. The future sustainability of this ecosystem is predicted from information available on climate change and human impact in this region.
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NISHIMURA, TAKASHI B., and EIZI SUZUKI. "Allometric differentiation among tropical tree seedlings in heath and peat-swamp forests." Journal of Tropical Ecology 17, no. 5 (September 2001): 667–81. http://dx.doi.org/10.1017/s0266467401001493.

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Above- and below-ground morphology of seedlings (up to 98 cm in height) were compared by allometric analyses in tropical heath forest and peat-swamp forest in Central Kalimantan. Thirteen abundant species were selected, including two species found in both forests. In above-ground morphology, heath forest seedlings invested more in leaf mass, while peat-swamp forest seedlings invested more in stem mass, stem height, crown area and leaf area. In below-ground morphology, heath forest seedlings invested more in root mass and depth, while peat-swamp forest seedlings invested more in lateral development of the root system. Both specific leaf area and area per leaf of heath forest seedlings were lower than those of peat-swamp forest seedlings. This differentiation in seedling morphology between forest types was evident as a plastic response in the two shared species. Heath forest seedlings on coarse-textured bleached sand with low water retention suffer occasional drought whereas peat-swamp forest seedlings on waterlogged peat rarely experience drought. We concluded that seasonal water limitation brought about the convergence in seedling morphology within heath forest because average understorey irradiances and soil nutrient concentration were assumed to be similarly low in both forests.
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Lampela, Maija, Jyrki Jauhiainen, and Harri Vasander. "Surface peat structure and chemistry in a tropical peat swamp forest." Plant and Soil 382, no. 1-2 (July 2, 2014): 329–47. http://dx.doi.org/10.1007/s11104-014-2187-5.

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Darusman, Taryono, Daniel Murdiyarso, Impron Impron, Iswandi Anas Chaniago, and Dwi Puji Lestari. "Carbon Dynamics in Rewetted Tropical Peat Swamp Forests." Climate 10, no. 3 (March 3, 2022): 35. http://dx.doi.org/10.3390/cli10030035.

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Degraded and drained peat swamp forests (PSFs) are major sources of carbon emissions in the forestry sector. Rewetting interventions aim to reduce carbon loss and to enhance the carbon stock. However, studies of rewetting interventions in tropical PSFs are still limited. This study examined the effect of rewetting interventions on carbon dynamics at a rewetted site and an undrained site. We measured aboveground carbon (AGC), belowground carbon (BGC), litterfall, heterotrophic components of soil respiration (Rh), methane emissions (CH4), and dissolved organic carbon (DOC) concentration at both sites. We found that the total carbon stock at the rewetted site was slightly lower than at the undrained site (1886.73 ± 87.69 and 2106.23 ± 214.33 Mg C ha−1, respectively). The soil organic carbon (SOC) was 1685 ± 61 Mg C ha−1 and 1912 ± 190 Mg C ha−1 at the rewetted and undrained sites, respectively, and the carbon from litterfall was 4.68 ± 0.30 and 3.92 ± 0.34 Mg C ha−1 year−1, respectively. The annual average Rh was 4.06 ± 0.02 Mg C ha−1 year−1 at the rewetted site and was 3.96 ± 0.16 Mg C ha−1 year−1 at the undrained site. In contrast, the annual average CH4 emissions were −0.0015 ± 0.00 Mg C ha−1 year−1 at the rewetted site and 0.056 ± 0.000 Mg C ha−1 year−1 at the undrained site. In the rewetted condition, carbon from litter may become stable over a longer period. Consequently, carbon loss and gain mainly depend on the magnitude of peat decomposition (Rh) and CH4 emissions.
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Posa, Mary Rose C., Lahiru S. Wijedasa, and Richard T. Corlett. "Biodiversity and Conservation of Tropical Peat Swamp Forests." BioScience 61, no. 1 (January 2011): 49–57. http://dx.doi.org/10.1525/bio.2011.61.1.10.

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Wibowo, Arif, Niklas Wahlberg, and Anti Vasemägi. "DNA barcoding of fish larvae reveals uncharacterised biodiversity in tropical peat swamps of New Guinea, Indonesia." Marine and Freshwater Research 68, no. 6 (2017): 1079. http://dx.doi.org/10.1071/mf16078.

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The Indonesian archipelago, Borneo, Sumatra and West New Guinea (Papua), hosts half of the world’s known tropical peat swamps, which support a significant proportion of the estimated biodiversity on Earth. However, several species groups that inhabit peat swamp environments remain poorly characterised and their biology, particularly during early life stages, is not well understood. In the present study we characterised larval and juvenile fish biodiversity, as well as spatial and temporal variability, in a pristine peat swamp environment of the River Kumbe in West New Guinea, Indonesia, based on analysis of the mitochondrial cytochrome-c oxidase subunit 1 (COI) sequence (501bp). Altogether, 10 fish species were detected in the peat swamp habitat during the larval and juvenile stages, whereas 13 additional species were caught at older stages. Twelve species were detected only in a single site, whereas some species, such as the Western archerfish (Toxotes oligolepis) and Lorentz’s grunter (Pingalla lorentzi), were observed in all sampling sites. The occurrence of fish larvae also varied temporally for several species. In contrast with many earlier DNA barcoding studies in fish, we were not able to determine the species identity for a large proportion of sequenced larvae (68%) because of the lack of corresponding COI sequences in the reference dataset. Unidentified sequences clustered into five separate monophyletic clades. Based on genetic divergences, the putative taxonomic origin for the five morphotypes are Atherinidae, Osteoglossidae, Terapontidae and Gobiidae.
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., Ahmad Ainuddin Nurud, Hoo Mei Leng ., and Faridah Basaruddin . "Peat Moisture and Water Level Relationship in a Tropical Peat Swamp Forest." Journal of Applied Sciences 6, no. 11 (May 15, 2006): 2517–19. http://dx.doi.org/10.3923/jas.2006.2517.2519.

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JIN, Zhenfu, Shunliu SHAO, Kyoko S. KATSUMATA, Tomoyasu ISHIDA, and Kenji IIYAMA. "Structural Modification of Lignin in Peat during Peat Formation at Tropical Swamp." Japan Agricultural Research Quarterly: JARQ 43, no. 1 (2009): 71–79. http://dx.doi.org/10.6090/jarq.43.71.

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Jauhiainen, Jyrki, Hidenori Takahashi, Juha E. P. Heikkinen, Pertti J. Martikainen, and Harri Vasander. "Carbon fluxes from a tropical peat swamp forest floor." Global Change Biology 11, no. 10 (October 2005): 1788–97. http://dx.doi.org/10.1111/j.1365-2486.2005.001031.x.

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Дисертації з теми "Tropical Peat Swamp"

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Waldram, Matthew Scott. "Characterising disturbance in tropical peat swamp forest using satellite imaging radar." Thesis, University of Leicester, 2014. http://hdl.handle.net/2381/28631.

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Satellite radar imaging is a promising technique for biomass mapping and the monitoring of deforestation in tropical forests and reducing the uncertainty in the quantification of forest biomass in tropical regions. The present paradigm in radar imaging is the fitting of empirical relationships between the radar signal and biomass for diverse forest ecosystems, especially in the humid tropics. Therefore, there is a great need to generate knowledge about how to monitor and characterise the biomass of intact and disturbed tropical forest biomass. This research presents the analysis of data from four years of L-band radar imagery from ALOS PALSAR within a carbon dense, tropical peat swamp forest ecosystem in Central Kalimantan (Indonesia). The results showed that the temporal behaviour of the radar signal varied across a gradient of forest biomass, being highly variable at low biomass levels. Critically a large amount of signal change was unrelated to biomass change. Changes in the radar signal were related in a complex non-linear manner to changes in the peatland water table. This allowed, for the first time, the estimation of water table depth at high spatial resolutions from radar images. It was found that the radar signal related to loss of primary forest biomass after fire were in the opposite direction to that expected according to fitted radarbiomass equations. Burnt areas showed highly variable temporal radar with variability linked to rainfall indicating a possible interaction between the water table and remaining (dead) aboveground biomass. The implications of these results are that, at least in tropical peatlands, estimates of biomass based on single date radar images are likely to be highly misleading; multitemporal radar data sets are required to both interpret disturbance histories and to produce accurate classifications of above ground biomass.
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Hamzah, Khali Aziz Bin. "Inventory mapping of tropical peat swamp forest resources using microwave remote sensing." Thesis, University of Reading, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.363808.

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Moore, Sam. "Effects of ecosystem disturbance on fluvial carbon losses from tropical peat swamp forests." Thesis, Open University, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.542448.

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Investigations into the effects of anthropogenic disturbance on greenhouse gas emissions from tropical peatlands are relatively well documented. However, the effects of such disturbance on fluvial carbon (C) losses has, thus far, been overlooked and remains unaccounted for in these ecosystem C budgets. Here, three land-cover classes in Central Kalimantan, Indonesia, were investigated in order to determine the effect of tropical peatland disturbance on fluvial organic C budgets. Intact peat swamp forest (IPSF), moderately disturbed and severely disturbed peat swamp forest (DPSF1 and 2) catchments were monitored for one year. Results demonstrate a trend of increasing annual total organic carbon (TOC) yields with increasing drainage severity, from 63 in IPSF to 105 and 131 g C m-2 y(1 in DPSF1 and 2, respectively. Including this routinely-ignored fluvial C loss component in the disturbed peatland ecosystem C budget increases the estimated total C loss by 30%. Radiocarbon analysis of dissolved organiC carbon (DOC) reveals that whilst DOC leaching from IPSF was derived from recent primary production, DOC leaching from the two disturbed sites was comprised of much older C, originating from deep within the peat column. The TOC flux from the Sebangau River basin was estimated to be 0.46 teragrams y(1, which upon regional extrapolation indicates that Indonesian rivers account for 10% of the global annual riverine DOC export to the ocean. There were no significant differences between sites in the quality of the organic C lost, but DOC lost from disturbed sites was generally less aromatic than from the intact site. It is recognized that a large portion of this labile C will be emitted to the atmosphere via biotic decomposition. Since 1990, peatland disturbance has resulted in a 53% increase in fluvial organic C export from Southeast Asia, an increase that alone approximates the entire annual fluvial organic C flux from European peatlands.
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Graham, Laura Linda Bozena. "Restoration from within : an interdisciplinary methodology for tropical peat swamp forest restoration in Indonesia." Thesis, University of Leicester, 2013. http://hdl.handle.net/2381/28192.

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Between 1985 and 2006 about 47% of tropical peat swamp forest (TPSF), mainly found in SE Asia, became degraded through logging, drainage, fire and agriculture. In response to global agendas, several large-scale TPSF restoration projects have been initiated, although knowledge is limited and successful, transferable methods are yet to be established. Restoration ecology is an inter-disciplinary science encompassing ecology, sociology, economics and politics, but methodology to integrate these disciplines is lacking. This study explored the social and ecological factors affecting the regeneration of a degraded TPSF in Central Kalimantan, Indonesia. An ecological investigation revealed that seed rain, animal-dispersal, flooding, increased light levels and lowered soil nutrient and mycorrhizae levels had become forest regeneration barriers, whilst seed banks, drought and competition with invasive species had not. In the adjacent village, focus groups and interviews revealed other factors influencing forest regeneration; the community’s lack of livelihood options, their dependency on the forest, the lack of funding for restoration and their dislike of ‘outsiders’. Not all factors were negative however; the community’s ecological knowledge, and their attitude towards restoration were positive. Social and ecological data were equally important in understanding the factors influencing the landscape. Furthermore, the data were closely linked and were often combined to better explain each factor. This study therefore proposes a new methodology for integrating these two disciplines within restoration ecology: the factors influencing the landscape are investigated through a process (using social and ecological methods) described as ‘anticipation and engagement’. Social and ecological data are then combined to explain the factors using the categorizations: ‘negative’, ‘potential negative’, ‘in-active’, ‘positive’, and ‘compound’. This methodology then facilitates development of a site-specific restoration action plan. The broader implications of this methodology, the interlinking of social and ecological data, the transferability of methods, and the restoration of Indonesian TPSF are discussed.
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Englhart, Sandra. "Monitoring restoration and aboveground biomass in tropical peat swamp forests on Borneo using multi-sensoral remote sensing data." Diss., Ludwig-Maximilians-Universität München, 2013. http://nbn-resolving.de/urn:nbn:de:bvb:19-157813.

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Cole, Lydia Eve Spencer. "Disturbance, recovery and resilience in tropical forests : a focus on the coastal peat swamp forests of Malaysian Borneo." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:a135aff3-ea84-4766-8046-b3bb4ce31275.

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Tropical forests have existed for up to one hundred million years, and today provide many ecosystem services vital for human well-being. They also harbour great biodiversity, which, in addition to its intrinsic value, plays a key role in the functioning of these ecosystems. Despite their local to global significance, there are still many knowledge gaps concerning the dynamic processes that govern the functioning of tropical forests. Rapid rates of deforestation and landscape conversion, predominantly for logging and industrial agriculture, are limiting the time and opportunity available to collect the information needed to fill these gaps. This research aims to shed light on the long-term ecological functioning of tropical forests, specifically investigating the history of disturbance in these ecosystems and the response of forest vegetation to past perturbations. The carbon-rich tropical peat swamp forests found along the coast of Sarawak, Malaysian Borneo, are a central focus of this study. For these forests in particular, a large deficit of knowledge surrounding their history and unique ecological functioning is coupled with some of the highest conversion rates of all tropical forest ecosystems across the world. In this thesis, palaeoecological data has been used to reconstruct temporal variability in forest vegetation coincident with external perturbations in order to identify changes in the resilience of these ecosystems through time, via indicators such as slowing rates of recovery and reduced regeneration of forest vegetation. Results suggest that tropical forest ecosystems have, for the most part, shown resilience to natural disturbances in the past, ranging from instantaneous localised tree-fall to longer-term regional climatic change; but that recent anthropogenic disturbances, of novel forms and greater intensities, are jeopardizing the potential for forest recovery and thus compromising ecosystem resilience. These findings enhance our understanding of the ecology of tropical peat swamp forests, and tropical forests more broadly. They also provide a context for contemporary tropical forest management, allowing for predictions on future responses to disturbance and enabling more ecologically sustainable landscape planning.
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Shimamura, Tetsuya. "Plant species coexistence controlled by organic matter dynamics in the tropical peat swamp forest in Riau, East Sumatra, Indonesia." 京都大学 (Kyoto University), 2004. http://hdl.handle.net/2433/68784.

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Kyoto University (京都大学)
0048
新制・課程博士
博士(地域研究)
甲第10987号
地博第4号
新制||地||2(附属図書館)
UT51-2004-G834
京都大学大学院アジア・アフリカ地域研究研究科東南アジア地域研究専攻
(主査)教授 小林 繁男, 教授 荒木 茂, 助教授 神崎 護
学位規則第4条第1項該当
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Englhart, Sandra [Verfasser], and Florian [Akademischer Betreuer] Siegert. "Monitoring restoration and aboveground biomass in tropical peat swamp forests on Borneo using multi-sensoral remote sensing data / Sandra Englhart. Betreuer: Florian Siegert." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2013. http://d-nb.info/1036101045/34.

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Stahlhut, Martin. "A critical evaluation of the role and potential of remote sensing in monitoring vegetation and hydrology of tropical peat swamp forests : a case study from Kalimantan." Thesis, University of Nottingham, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.423313.

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Sarodja, Damayanti [Verfasser], Christoph [Akademischer Betreuer] Kleinn, I. Nengah Surati [Gutachter] Jaya, and Daniela [Gutachter] Sauer. "Integrating field and optical RapidEye data for above-ground biomass estimation: A study in the tropical peat-swamp forest of Sebangau, Central Kalimantan, Indonesia / Damayanti Sarodja ; Gutachter: I. Nengah Surati Jaya, Daniela Sauer ; Betreuer: Christoph Kleinn." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2019. http://d-nb.info/1201549132/34.

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Книги з теми "Tropical Peat Swamp"

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Meer, Peter van der. Tropical peat swamp forests of Sarawak: Sustainable use and biodiversity conservation in a changing environment. [Kuching]: Forest Department Sarawak, Sarawak Forestry Corporation, 2013.

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Seminar, Sabah Inter-Agency Tropical Ecosystem Research. Conservation & management of peat swamp forests & other wetlands in Sabah: Issues and challenges : proceedings of the Ninth Sabah Inter-Agency Tropical Ecosystem (SITE) Research Seminar : September 30-October 1, 2004, Kota Kinabalu. Sandakan, Sabah, Malaysia: Sabah Forestry Dept., 2005.

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International, Conference and Workshop on Tropical Peat Swamps (1999 George Town Pinang). Tropical peat swamps: Safe-guarding a global natural resource. [Minden], Pulau Pinang: Penerbit Universiti Sains Malaysia, 2004.

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Частини книг з теми "Tropical Peat Swamp"

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Page, Susan, and Jack Rieley. "Tropical Peat Swamp Forests of Southeast Asia." In The Wetland Book, 1–9. Dordrecht: Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-94-007-6173-5_5-3.

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Page, Susan, and Jack Rieley. "Tropical Peat Swamp Forests of Southeast Asia." In The Wetland Book, 1753–61. Dordrecht: Springer Netherlands, 2018. http://dx.doi.org/10.1007/978-94-007-4001-3_5.

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Anshari, Gusti. "Circularity and Singularity of Tropical Peat Swamp Forest Ecosystems." In Tropical Peatland Eco-management, 463–75. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4654-3_16.

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Darusman, Taryono, Dwi Puji Lestari, and Desra Arriyadi. "Management Practice and Restoration of the Peat Swamp Forest in Katingan-Mentaya, Indonesia." In Tropical Peatland Eco-management, 381–409. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4654-3_13.

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Giesen, Wim. "Tropical Peatland Restoration in Indonesia by Replanting with Useful Indigenous Peat Swamp Species: Paludiculture." In Tropical Peatland Eco-management, 411–41. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4654-3_14.

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Chittapun, Supenya, Pornsilp Pholpunthin, and Hendrik Segers. "Restoration of tropical peat swamp rotifer communities after perturbation: an experimental study of recovery of rotifers from the resting egg bank." In Rotifera X, 281–89. Dordrecht: Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-4408-9_29.

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Householder, J. Ethan, and Susan Page. "Tropical Peat Swamp Forests." In Reference Module in Earth Systems and Environmental Sciences. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-12-819166-8.00046-3.

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Page, S. E., J. O. Rieley, Ø. W. Shotyk, and D. Weiss. "Interdependence of peat and vegetation in a tropical peat swamp forest." In Changes and Disturbance in Tropical Rainforest in South-East Asia, 161–73. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO., 2000. http://dx.doi.org/10.1142/9781848160125_0014.

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Hoekman, Dirk. "Monitoring Tropical Peat Swamp Deforestation and Hydrological Dynamics by ASAR and PALSAR." In Geoscience and Remote Sensing. InTech, 2009. http://dx.doi.org/10.5772/8288.

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Omar, Hamdan, Thirupathi Rao Narayanamoorthy, Norsheilla Mohd Johan Chuah, Nur Atikah Abu Bakar, and Muhamad Afizzul Misman. "Utilization of Remote Sensing Technology for Carbon Offset Identification in Malaysian Forests." In Remote Sensing [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98952.

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Rapid growth of Malaysia’s economy recently is often associated with various environmental disturbances, which have been contributing to depletion of forest resources and thus climate change. The need for more spaces for numerous land developments has made the existing forests suffer from deforestation. This chapter presents an overview and demonstrates how remote sensing data is used to map and quantify changes of tropical forests in Malaysia. The analysis dealt with image processing that produce seamless mosaics of optical satellite data over Malaysia, within 15 years period, with 5-year intervals. The challenges were about the production of cloud-free images over a tropical country that always covered by clouds. These datasets were used to identify eligible areas for carbon offset in land use, land use change and forestry (LULUCF) sector in Malaysia. Altogether 580 scenes of Landsat imagery were processed to complete the observation period and came out with a seamless, wall to wall images over Malaysia from year 2005 to 2020. Forests have been identified from the image classification and then classified into three major types, which are dry-inland forest, peat swamp and mangroves. Post-classification change detection technique was used to determine areas that have been undergoing conversions from forests to other land uses. Forest areas were found to have declined from about 19.3 Mil. ha (in 2005) to 18.2 Mil. ha in year 2020. Causes of deforestation have been identified and the amount of carbon dioxide (CO2) that has been emitted due to the deforestation activity has been determined in this study. The total deforested area between years 2005 and 2020 was at 1,087,030 ha with rate of deforestation of about 72,469 ha yr.−1 (or 0.37% yr.−1). This has contributed to the total CO2 emission of 689.26 Mil. Mg CO2, with an annual rate of 45.95 Mil. Mg CO2 yr.−1. The study found that the use of a series satellite images from optical sensors are the most appropriate sensors to be used for monitoring of deforestation over the Malaysia region, although cloud covers are the major issue for optical imagery datasets.
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Тези доповідей конференцій з теми "Tropical Peat Swamp"

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Ballhorn, Uwe, Juilson Jubanski, Karin Kronseder, and Florian Siegert. "Airborne LiDAR measurements to estimate tropical peat swamp forest Above Ground Biomass." In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6351208.

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Englhart, Sandra, Jonas Franke, Vanessa Keuck, and Florian Siegert. "Aboveground biomass estimation of tropical peat swamp forests using SAR and optical data." In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6352092.

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Liesenberg, Veraldo, Hans-Dieter Viktor Boehm, and Richard Gloaguen. "The contribution of CHRIS/PROBA data for tropical peat swamp landscape discrimination purposes." In 2009 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2009. http://dx.doi.org/10.1109/igarss.2009.5417998.

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"Relationship of Canopy Cover with TanDEM-X Features in a Tropical Peat Swamp Forest." In GI_Forum 2013 - Creating the GISociety. Vienna: Austrian Academy of Sciences Press, 2013. http://dx.doi.org/10.1553/giscience2013s109.

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Hoekman, Dirk, and Martin Vissers. "ALOS PALSAR radar observation of tropical peat swamp forest as a monitoring tool for environmental protection and restoration." In 2007 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2007. http://dx.doi.org/10.1109/igarss.2007.4423649.

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Nurulita, Y., Yuharmen, A. Fitri, Khairullinas, C. Hardiyanti, S. S. Shar, and T. T. Nugroho. "Biotic elicitor, Staphylococcus aureus, stimulated antibiotics production from a local fungus of tropical peat swamp soil, Penicillium sp. LBKURCC34." In THE 8TH INTERNATIONAL CONFERENCE OF THE INDONESIAN CHEMICAL SOCIETY (ICICS) 2019. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0002038.

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Звіти організацій з теми "Tropical Peat Swamp"

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Shona Jenkins, Shona Jenkins. How are rural communities on the edge of the largest tropical peat swamp forest in the Congo Basin using peat resources? Experiment, February 2022. http://dx.doi.org/10.18258/24536.

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