Muhammad Abdul Qirom

Bio: Muhammad Abdul Qirom is an academic researcher from Indian Ministry of Environment and Forests. The author has contributed to research in topics: Peat & Physics. The author has an hindex of 3, co-authored 17 publications receiving 37 citations.

Opportunities and challenges for an Indonesian forest monitoring network

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.

Restoration of Degraded Tropical Peatland in Indonesia: A Review

Abstract: Tropical peatlands are fragile ecosystems with an important role in conserving biodiversity, water quality and availability, preventing floods, soil intrusion, erosion and sedimentation, and providing a livelihood for people. However, due to illegal logging, fire and conversion into other land use, the peatlands in Indonesia are under serious threat. Efforts to restore Indonesia’s tropical peatlands have been accelerated by the establishment of the Peatland Restoration Agency in early 2016. The restoration action policy includes the rewetting, revegetation and revitalisation of local livelihood (known as the 3Rs). This paper summarises the regulatory, institutional and planning aspects of peatland restoration, in addition to the implementation of the 3Rs in Indonesia, including failures, success stories, and the criteria and indicators for the success of peatland restoration.

Development and Validation of Volume Prediction Model for Balangeran (Shorea balangeran (Korth.) Burck) In Central Kalimantan

Abstract: Estimation model of tree volume must be high in accuracy and precisions to estimate stand potential precisely. This paper determines and validates the estimation model of Shorea balangeran volume grown in Central Kalimantan, Indonesia. There were three phases of model development which include 52 trees for model progress, 23 trees for model validation, and 10 trees for external model validation. The calculation model used linear and non-linear models with diameter, diameter and height, and diameter and height combination as independent variables. The criteria of the best model was determined by statistical analyses such as coefficient determination, relative and aggregative deviation, bias, precisions and accuracy of estimation, AIC (Akaike’s Information Criterion). The result of the study showed that the model with diameter as single variable was not complied with the selected best model criteria (aggregative deviation; AD< 1 % and relative deviation: RD< 8 %). The addition of tree height on model estimation increased the coefficient determination of 6.54% and the model with diameter and height as independent variable was satisfied with the criteria (AD and RD criteria). The best model of Balangeran was with coefficient determination of 89.77 %. However, the best model was not applicable for other sites with different stand characteristics Keywords: volume, model, Balangeran, validation, stand, tree

MODEL PENDUGA VOLUME POHON NYAWAI ( Ficus variegata Blume) DI KALIMANTAN TIMUR

Abstract: Jenis nyawai baru dikembangkan untuk pengembangan hutan tanaman. Pendugaan potensi ini memerlukan instrumen penduga volume yang tepat. Namun, instrumen tersebut belum tersedia. Volume pohon ditentukan dengan Spiegel Relaskop Bitterlich (SRB) sehingga pohon-pohon contoh tidak ditebang. Penelitian ini bertujuan mendapatkan model penduga volume terbaik dan menduga potensi tegakan nyawai di PT. ITCI Kartika Utama Kalimantan Timur. Penyusunan model penduga volume menggunakan model linear dan non linear dengan peubah tunggal diameter, dua pubah (diameter dan tinggi), dan kombinasi diameter dengan tinggi. Model terbaik ditentukan menggunakan parameter statistik antara lain: standar error, signifikasi parameter dugaan, koefisien determinasi terkoreksi (R2adj), Root Mean Square Errors , Akaike Information Criteria (AIC), simpangan relatif dan agregatif, dan bias. Model terbaik penduga volume menggunakan diamater dan tinggi sebagai peubah bebasnya dengan persamaan: Ln Volume = – 9,22846 + 1,7456Ln (Diameter) + 0,9759Ln (tinggi) . Penambahan tinggi dalam penyusunan model penduga volume meningkatkan akurasi dan ketepatan dugaan dibandingkan model dengan peubah tunggal. Namun demikian, berdasarkan pertimbangan kepraktisan di lapangan, persamaan dengan variabel diameter yaitu: V = 0,00073 D 2,0051 dapat digunakan. Model tersebut hanya digunakan dan hanya berlaku pada kondisi iklim dan tempat tumbuh yang sama. Potensi volume pohon berkisar antara 21,66 m3/ha–113,56 m3/ha untuk umur 4–7 tahun. Model penduga volume yang telah disusun dapat diterapkan pada tegakan dengan karakteristik tempat tumbuh hampir sama.

What Drives Academic Data Sharing

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.

The Tropical managed Forests Observatory: a research network addressing the future of tropical logged forests

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

Tropical Forest Landscape Restoration in Indonesia: A Review

Abstract: Indonesia has the second-largest biodiversity of any country in the world. Deforestation and forest degradation have caused a range of environmental issues, including habitat degradation and loss of biodiversity, deterioration of water quality and quantity, air pollution, and increased greenhouse gas emissions that contribute to climate change. Forest restoration at the landscape level has been conducted to balance ecological integrity and human well-being. Forest restoration efforts are also aimed at reducing CO2 emissions and are closely related to Indonesia’s Nationally Determined Contribution (NDC) from the forestry sector. The purpose of this paper is to examine the regulatory, institutional, and policy aspects of forest restoration in Indonesia, as well as the implementation of forest restoration activities in the country. The article was written using a synoptic review approach to Forest Landscape Restoration (FLR)-related articles and national experiences. Failures, success stories, and criteria and indicators for forest restoration success are all discussed. We also discuss the latest silvicultural techniques for the success of the forest restoration program. Restoration governance in Indonesia has focused on the wetland ecosystem such as peatlands and mangroves, but due to the severely degraded condition of many forests, the government has by necessity opted for active restoration involving the planting and establishment of livelihood options. The government has adapted its restoration approach from the early focus on ecological restoration to more forest landscape restoration, which recognizes that involving the local community in restoration activities is critical for the success of forest restoration.