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W.C. Adinugroho

Bio: W.C. Adinugroho is an academic researcher from Indian Ministry of Environment and Forests. The author has contributed to research in topics: Peat & Greenhouse gas. The author has an hindex of 4, co-authored 16 publications receiving 55 citations. Previous affiliations of W.C. Adinugroho include Virginia Tech College of Natural Resources and Environment.

Papers
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Journal ArticleDOI
01 Jan 2006
TL;DR: In this paper, a model alometrik pada pohon mahoni was used to detect the presence of biomassa in a pohon contoh, dengan dengan pohon malam hutan, keseluruhan tanah, and konstanta.
Abstract: Protokol Kyoto meliputi mekanisme pembangunan bersih dalam rangka mengontrol karbon yang dihasilkan oleh negara-negara di dunia. Hutan menyerap C02 dari udara melalui proses fotosintesis dan menyimpannya sebagai biomassa hutan. Untuk menduga jumlah biomassa di dalam hutan, pendekatan secara tidak langsung rnelalui model alometrik dan metode bioma ss ex pansion f a ctor (BEF) dapat digunakan. Tujuan penelitian ini adalah untuk memperoleh besarnya nilai BEF dan membuat model alometrik dalam menduga besarnya biomassa pada pohon mahoni. Untuk mencapai tujuan penelitian tersebut maka ditentukan sebanyak 30 pohon contoh yang ditetapkan secara purposif, yang selanjutnya dilakukan penghitungan biomassa. Biomassa batang dan cabang yang beraturan dihitung dengan menggunakan pendekatan volume sedangkan biomassa bagian lainnya dihitung dengan penimbangan langsung. Model pendugaan biomassa dihasilkan dengan menganalisa hubungan antara nilai biomassa dengan dimensi pohon. Hasil penelitian memperlihatkan bahwa jumlah biomassa tertinggi terdapat pada bagian batang yakni mencapai 73% dari biomassa keseluruhan pohon di atas permukaan tanah, kemudian diikuti oleh biomassa cabang (17%), tunggak (5%), daun (3%), dan ranting (2%). Model alometrik yang dihasilkan untuk menduga biomassa pada pohon mahoni adalah B = aD b dimana B = biomassa (kg); 0 = diameter (cm); a, b = konstanta. Persamaan regresi yang dihasilkan tersebut adalah biomassa batang (B b tg ) = 0,044 D 2'61 (R 2 = 94,7 %) biomassa cabang (B cab ) = 0,00059 D 3.46 (R 2 = 83,5%), biomassa ranting (B ranting ) = 0,0027 D 2.42 (R 2 = 65,6%), biomassa tunggak (B tunggak ) = 0,022 D 1·96 (R 2 = 65,6%), biomassa daun (B da un ) = 0,0138 D 193 (R 2 = 70%), biomassa pohon di atas permukaan tanah (B total ) = 0,048 D 2·68 (R 2 = 95,8%). Sedangkan nilai "BEF" rata-rata untuk pohon mahoni adalah 1,36 (biomassa batang keseluruhan) dan 2, 16 (biomassa batang bebas cabang).

22 citations

Journal ArticleDOI
TL;DR: Based on the current inventory of permanent sampling plots (PSPs) in Indonesia, there is high potential to establish a long-term collaborative forest monitoring network as discussed by the authors, which can help us understand and better conserve these exceptionally diverse ecosystems.
Abstract: Permanent sampling plots (PSPs) are a powerful and reliable methodology to help our understanding of the diversity and dynamics of tropical forests. Based on the current inventory of PSPs in Indonesia, there is high potential to establish a long-term collaborative forest monitoring network. Whilst there are challenges to initiating such a network, there are also innumerable benefits to help us understand and better conserve these exceptionally diverse ecosystems.

21 citations

Journal ArticleDOI
TL;DR: This study aimed to account for all carbon pools: aboveground, deadwood, pyrogenic carbon (PyC) and peat of single and repeatedly burnt peat forests, and identified the minimum sampling intensity required to detect with 80% power significant differences in these carbon pools among long unburnt, recently burnt and repeatedly burned peat swamp forests.

12 citations

Journal ArticleDOI
TL;DR: This paper assessed the effect of ecological variables on tree allometry and provided more accurate aboveground biomass (AGB) models through the involvement of large samples representing major islands, biogeographical zones and various succession and degradation levels of natural lowland forests in the Indo-Malay region.
Abstract: Key message This study assessed the effect of ecological variables on tree allometry and provides more accurate aboveground biomass (AGB) models through the involvement of large samples representing major islands, biogeographical zones and various succession and degradation levels of natural lowland forests in the Indo-Malay region. The only additional variable that significantly and largely contributed to explaining AGB variation is grouping based on wood-density classes.

9 citations

Journal ArticleDOI
TL;DR: In this paper, the authors assessed total aboveground carbon (AGC) in biomass pools including trees, shrubs, deadwood, litter and char, and peat carbon to develop empirical estimates of peat swamp forest carbon stocks in response to fire and disturbance.

8 citations


Cited by
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Posted Content
01 Jan 2014
TL;DR: In this article, the authors developed a conceptual framework that explains the process of data sharing from the primary researcher's point of view, which can be divided into six descriptive categories: data donor, research organization, research community, norms, data infrastructure, and data recipients.
Abstract: Despite widespread support from policy makers, funding agencies, and scientific journals, academic researchers rarely make their research data available to others. At the same time, data sharing in research is attributed a vast potential for scientific progress. It allows the reproducibility of study results and the reuse of old data for new research questions. Based on a systematic review of 98 scholarly papers and an empirical survey among 603 secondary data users, we develop a conceptual framework that explains the process of data sharing from the primary researcher’s point of view. We show that this process can be divided into six descriptive categories: Data donor, research organization, research community, norms, data infrastructure, and data recipients. Drawing from our findings, we discuss theoretical implications regarding knowledge creation and dissemination as well as research policy measures to foster academic collaboration. We conclude that research data cannot be regarded a knowledge commons, but research policies that better incentivize data sharing are needed to improve the quality of research results and foster scientific progress.

198 citations

Journal ArticleDOI
Cecilia Blundo1, Julieta Carilla1, Ricardo Grau1, Agustina Malizia1  +549 moreInstitutions (176)
TL;DR: In this paper, the authors show how a global community is responding to the challenges of tropical ecosystem research with diverse teams measuring forests tree-by-tree in thousands of long-term plots.

66 citations

Journal ArticleDOI
TL;DR: In this paper, the authors evaluated the deviations in tree height estimation from existing generalized height-diameter equations, compared the predictive ability of eight function forms applied to develop heightdiameter models, and tested for sites and species effects on tree height-Diameter allometries.

56 citations

Journal Article
TL;DR: The tropical managed forests Observatory (TmFO) as discussed by the authors is a network of permanent sample plots in logged tropical forests, which provides unprecedented opportunities to examine long-term data on the resilience of logged and disturbed tropical forests at regional and global scales.
Abstract: While attention to logging in the tropics has been increasing, studies on the long-term effects of silviculture on forest dynamics and ecology remain scare and spatially limited Indeed, most of our knowledge on tropical forests arise from studies carried out in undisturbed tropical forests This bias is problematic given that logged and disturbed tropical forests are covering now a larger area than the so-called primary forests The Tropical managed Forests Observatory (TmFO), a new network of permanent sample plots in logged forests, aims to fill this gap by providing unprecedented opportunities to examine long-term data on the resilience of logged tropical forests at regional and global scales TmFO currently includes 24 experimental sites distributed across three tropical regions, with a total of 536 pem1anent plots and about 1200 ha of forest inventories In this paper we will present the main results generated by the network on the impact of logging on Carbon and timber recovery, as well as biodiversity changes in the Amazon basin and South East Asia

47 citations

Journal ArticleDOI
TL;DR: The results suggest that oxidative peat decomposition can be enhanced by drainage both in forests and at burned sites, and that separate estimations are required for each type of land.

41 citations