Hiperdominansi Jenis dan Biomassa Pohon di Taman Nasional Gunung Gede Pangrango, Indonesia

Hiperdominansi jenis dan biomassa adalah suatu konsep yang menjelaskan pentingnya sebagian kecil jenis dan biomassa relatif terhadap rata-rata biomassa pohon pada suatu kawasan hutan. Pemahaman pada konsep ini berimplikasi pada upaya monitoring kawasan hutan khususnya bagi spesies penyumbang biomassa terbesar dan membantu pemahaman pada proses restorasi ekologinya. Analisis hiperdominansi jenis dan kontribusi pohon besar (DBH>50 cm) terhadap biomassa pohon telah dilakukan di kawasan hutan Taman Nasional Gunung Gede Pangrango (TNGGP). Sejumlah 26 plot pengamatan telah dibuat pada 26 level ketinggian yang berbeda (1013-3010 m dpl) dan dikelompokkan menjadi tiga zona yaitu zona submontana, montana, dan subalpine. Pohon-pohon yang terdapat dalam plot pengamatan kemudian dikelompokkan menjadi 3 kelompok diameter yaitu pohon kecil (5-30 cm), pohon sedang (30-50 cm), dan pohon besar (>50 cm). Hasil analisis menunjukkan bahwa hiperdominansi jenis terjadi di hutan TNGGP. Empat jenis pohon dari 114 jenis yang teridentifikasi yaitu Schima wallichii, Altingia excelsa, Vaccinium varingiaefolium, dan Castanopsis acuminatissima merepresentasikan 56,96% dari total biomassa pohon yang ada di plot TNGGP. Lebih lanjut, pohon kecil dan besar diketahui sebagai penyumbang biomassa yang sangat signifikan dibandingkan pohon sedang. Pada level plot penelitian, pohon dengan DBH>50 cm yang berjumlah 192 individu (atau 13%) dari 1471 individu pohon mampu merepresentasikan 61,4% dari total biomassanya. Namun demikian, pada level kawasan hutan, pohon kecil dan pohon besar memiliki kontribusi yang sama signifikannya terhadap biomassa per hektarnya yaitu masing-masing sebesar 40,9% dan 38,77%. Hasil-hasil tersebut menunjukkan bahwa hanya sedikit jenis pohon saja mampu merepresentasikan sebagian besar dari total biomassa pohon. Pohon-pohon kecil dan besar diketahui memainkan peranan yang penting dalam biomassa di hutan TNGGP.Hyperdominance of Tree Species and Biomass in Mount Gede Pangrango National Park, IndonesiaAbstractThe hyperdominance of tree species and biomass is a concept explaining the importance of a small portion of species and biomass relative to the average of biomass in a forested area. Understanding this concept has important implication on forest monitoring, especially to monitor the most significant species that show high contributes on biomass and its ecological restoration. Hyperdominance analysis of tree species and large trees (DBH > 50 cm) contribution to tree biomass were investigated in tropical mountain forest of Mount Gede Pangrango National Park (TNGGP). A total of 26 sample plots were installed in 26 different altitude between 1013 and 3010 m asl and grouped into three zones i.e. submontane, montane, and subalpine zones. Trees within plot were identified, measured, and grouped into three groups i.e. small (DBH 5-30 cm), medium (DBH 30-50 cm), and large trees (DBH>50 cm). The result showed that there were hyperdominant in TNGGP. Four species from 114 identified tree species i.e. Schima wallichii, Altingia excelsa, Vaccinium varingiaefolium, and Castanopsis acuminatissima represented 56.96% of the total biomass in the plot level. Furthermore, only 13% of trees from 1471 trees responsible for 61.4% of the total tree biomass in the plot level. However, small and large trees have similar significant contribution to the average biomass in the forest level i.e. 40.9% and 38.77%, respectively. These results suggest that only few species represent a huge amount of biomass. Both small and large trees play important role in the forest biomass of TNGGP.

Download Full-text

Tree height integrated into pantropical forest biomass estimates

Biogeosciences ◽

10.5194/bg-9-3381-2012 ◽

2012 ◽

Vol 9 (8) ◽

pp. 3381-3403 ◽

Cited By ~ 239

Author(s):

T. R. Feldpausch ◽

J. Lloyd ◽

S. L. Lewis ◽

R. J. W. Brienen ◽

M. Gloor ◽

...

Keyword(s):

East Africa ◽

Carbon Storage ◽

Stand Structure ◽

Forest Biomass ◽

Small Diameter ◽

Tree Height ◽

Total Biomass ◽

Guiana Shield ◽

Tree Biomass ◽

Continental Scale

Abstract. Aboveground tropical tree biomass and carbon storage estimates commonly ignore tree height (H). We estimate the effect of incorporating H on tropics-wide forest biomass estimates in 327 plots across four continents using 42 656 H and diameter measurements and harvested trees from 20 sites to answer the following questions: 1. What is the best H-model form and geographic unit to include in biomass models to minimise site-level uncertainty in estimates of destructive biomass? 2. To what extent does including H estimates derived in (1) reduce uncertainty in biomass estimates across all 327 plots? 3. What effect does accounting for H have on plot- and continental-scale forest biomass estimates? The mean relative error in biomass estimates of destructively harvested trees when including H (mean 0.06), was half that when excluding H (mean 0.13). Power- and Weibull-H models provided the greatest reduction in uncertainty, with regional Weibull-H models preferred because they reduce uncertainty in smaller-diameter classes (≤40 cm D) that store about one-third of biomass per hectare in most forests. Propagating the relationships from destructively harvested tree biomass to each of the 327 plots from across the tropics shows that including H reduces errors from 41.8 Mg ha−1 (range 6.6 to 112.4) to 8.0 Mg ha−1 (−2.5 to 23.0). For all plots, aboveground live biomass was −52.2 Mg ha−1 (−82.0 to −20.3 bootstrapped 95% CI), or 13%, lower when including H estimates, with the greatest relative reductions in estimated biomass in forests of the Brazilian Shield, east Africa, and Australia, and relatively little change in the Guiana Shield, central Africa and southeast Asia. Appreciably different stand structure was observed among regions across the tropical continents, with some storing significantly more biomass in small diameter stems, which affects selection of the best height models to reduce uncertainty and biomass reductions due to H. After accounting for variation in H, total biomass per hectare is greatest in Australia, the Guiana Shield, Asia, central and east Africa, and lowest in east-central Amazonia, W. Africa, W. Amazonia, and the Brazilian Shield (descending order). Thus, if tropical forests span 1668 million km2 and store 285 Pg C (estimate including H), then applying our regional relationships implies that carbon storage is overestimated by 35 Pg C (31–39 bootstrapped 95% CI) if H is ignored, assuming that the sampled plots are an unbiased statistical representation of all tropical forest in terms of biomass and height factors. Our results show that tree H is an important allometric factor that needs to be included in future forest biomass estimates to reduce error in estimates of tropical carbon stocks and emissions due to deforestation.

Download Full-text

Forest Biomass Estimation Based on Forest Inventory Data in Middle and Last Scales

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.183-185.220 ◽

2011 ◽

Vol 183-185 ◽

pp. 220-224

Author(s):

Ming Ze Li ◽

Wen Yi Fan ◽

Ying Yu

Keyword(s):

Tree Species ◽

Forest Inventory ◽

Forest Biomass ◽

Biomass Estimation ◽

Total Biomass ◽

Inventory Data ◽

Biomass Equation ◽

Tree Species Composition ◽

Forest Inventory Data ◽

Ecosystem Carbon

The forest biomass (which is referred to the arbor aboveground biomass in this research) is one of the most primary factors to determine the forest ecosystem carbon storages. There are many kinds of estimating methods adapted to various scales. It is a suitable method to estimate forest biomass of the farm or the forestry bureau in middle and last scales. First each subcompartment forest biomass should be estimated, and then the farm or the forestry bureau forest biomass was estimated. In this research, based on maoershan farm region, first the single tree biomass equation of main tree species was established or collected. The biomass of each specie was calculated according to the materials of tally, such as height, diameter and so on in the forest inventory data. Secondly, each specie’s biomass and total biomass in subcompartment were calculated according to the tree species composition in forest management investigation data. Thus the forest biomass spatial distribution was obtained by taking subcompartment as a unit. And last the forest total biomass was estimated.

Download Full-text

Loss of Tree Biomass in Jure Landslide, Sindhupalchowk, Nepal

Journal of Institute of Science and Technology ◽

10.3126/jist.v21i1.16052 ◽

2016 ◽

Vol 21 (1) ◽

pp. 65-70

Author(s):

Smrita Acharya ◽

Udhab Raj Khadka

Keyword(s):

Tree Species ◽

Sampling Technique ◽

Allometric Equation ◽

Total Biomass ◽

Tree Biomass ◽

Loss Mitigation ◽

Shorea Robusta ◽

Mountainous Regions ◽

Mountain Environment ◽

Total Tree

Landslide causes massive loss of lives and properties along with intangible losses in mountainous regions. Yet such intangible losses in ecosystems are rarely considered. The present study assesses the tree biomass lost due to Jure landslide in Sindhupalchowk that destroyed 71 hectare of land. Altogether, 12 plots (250 m2) were sampled through systematic and purposive sampling technique. The total tree biomass was estimated using allometric equation. The study recorded 21 tree species in which Schimawallichiii (Korth.), Lagerstroemia parviflora (Roxb.), Shorea robusta (Gaertn.), Alnus nepalensis (D. Don), Phyllanthus emblica (Linn.) and Celtius australis (Linn.) were dominant. Schima wallichiii had the highest density (320 individual ha-1) and frequency (92%). The total biomass of tree species was 216 ton ha-1 in which Schima wallichiii constituted the highest total tree biomass (82 ton ha-1). In 71 ha landslide area, the landslide caused loss of 15,336 tons of total tree biomass, which equals to 56,283 tons CO2 equivalents. These findings are relevant for assessing post-landslide impacts on the mountain environment. Furthermore, to reduce carbon emissions resulting from forest loss, mitigation of landslide is crucial.Journal of Institute of Science and TechnologyVol. 21, No. 1, 2016,Page: 65-70

Download Full-text

Tree Biomass Estimation in Karst Forest of West Papua, Indonesia

Jurnal Wasian ◽

10.20886/jwas.v8i2.6400 ◽

2021 ◽

Vol 8 (2) ◽

pp. 75-86

Author(s):

Andes Rozak ◽

◽

Destri Destri ◽

Zaenal Mutaqien

Keyword(s):

Allometric Equations ◽

Biomass Estimation ◽

Total Biomass ◽

Tree Biomass ◽

Karst Forest ◽

Large Trees ◽

West Papua ◽

Reference Equation ◽

Selection Of ◽

Made In

Indonesia is estimated to have 14,5 million hectares of karst areas. The characteristic of karst vegetation is specific, one of which is the dominance of small trees. With all of the potency, their vegetation acts as a significant carbon sequester and store it in biomass. This study aims to estimate and discuss biomass estimation in the karst forest within the Nature Recreational Park of Beriat, a protected area in South Sorong, West Papua. A total of 28 plots were made in the forest using the purposive random sampling method. Tree biomass (DBH ≥10 cm) was estimated using five different allometric equations. The results showed that the biomass was estimated at ca. 264 Mg ha-1 (95 % CI: 135-454 Mg ha-1). While small trees (DBH 10 – 30 cm) only contribute 30 % of the total biomass, about 38 % of the biomass is the contribution of large trees (DBH >50 cm), where Pometia pinnata contributes ca. 39 % of the biomass at plot-level. The use of various allometric equations results in different biomass estimates and biases with deviations ranged from -14.78 % to +17.02 % compared to the reference equation. Therefore, the selection of allometric equations used must be considered carefully to reduce uncertainties in biomass estimation.

Download Full-text

The Assessment of the Forest Biomass and Productivity in Heilongjiang Forest Industry Region

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.195-196.1207 ◽

2012 ◽

Vol 195-196 ◽

pp. 1207-1211

Author(s):

Chun Guang Sheng ◽

Shang Zhi Yue

Keyword(s):

Forest Biomass ◽

Mixed Forest ◽

Biomass Productivity ◽

National Average ◽

Forest Industry ◽

Total Biomass ◽

Young Forest ◽

Average Biomass ◽

Total Productivity ◽

Absolute Advantage

According to the results of the Seventh Forest Industry Region inventory of forest resources, adopting the model of estimating the forest biomass and productivity which is established by Fang Jingyun, estimating the biomass and productivity of arbor forest in Heilongjiang Forest Industry Region is 96699.68×104t and 8436.20×104t/a respectively. Among them, the biomass and productivity of broadleaved mixed forest accounts for 63.62% and 52.3% of the total in maximum respectively. Based on the total biomass and total productivity of arbor forest in different original ages, the total biomass and total productivity of natural arbor forest is 92718.24×104t and 7824.46×104t/a, in which, the young forest and middle aged forest accounts for 67.2%, the total biomass and total productivity of artificial arbor forest is 3979.01×104t and 611.74×104t/a, therein, the young forest accounts for 30.91%. The average biomass of Forest Industry Region is 83.35t/hm2, which is lower than the national average level, 86.07t/hm2. The biomass and productivity of forest in Heilongjiang Forest Industry Region is 103722×104t and 9334.16×104t/a respectively. Among them, broadleaved mixed forest accounts for 59.44% of the total biomass, productivity accounts for 47.41% of total forest productivity, with absolute advantage.

Download Full-text

Tree height integrated into pan-tropical forest biomass estimates

Biogeosciences Discussions ◽

10.5194/bgd-9-2567-2012 ◽

2012 ◽

Vol 9 (3) ◽

pp. 2567-2622 ◽

Cited By ~ 27

Author(s):

T. R. Feldpausch ◽

J. Lloyd ◽

S. L. Lewis ◽

R. J. W. Brienen ◽

E. Gloor ◽

...

Keyword(s):

Tropical Forest ◽

Stand Structure ◽

Large Diameter ◽

Forest Biomass ◽

Tree Height ◽

Total Biomass ◽

Asymptotic Model ◽

Tree Biomass ◽

Geographic Scale ◽

Continental Scale

Abstract. Above-ground tropical tree biomass and carbon storage estimates commonly ignore tree height. We estimate the effect of incorporating height (H) on forest biomass estimates using 37 625 concomitant H and diameter measurements (n = 327 plots) and 1816 harvested trees (n = 21 plots) tropics-wide to answer the following questions: 1. For trees of known biomass (from destructive harvests) which H-model form and geographic scale (plot, region, and continent) most reduces biomass estimate uncertainty? 2. How much does including H relationship estimates derived in (1) reduce uncertainty in biomass estimates across 327 plots spanning four continents? 3. What effect does the inclusion of H in biomass estimates have on plot- and continental-scale forest biomass estimates? The mean relative error in biomass estimates of the destructively harvested trees was half (mean 0.06) when including H, compared to excluding H (mean 0.13). The power- and Weibull-H asymptotic model provided the greatest reduction in uncertainty, with the regional Weibull-H model preferred because it reduces uncertainty in smaller-diameter classes that contain the bulk of biomass per hectare in most forests. Propagating the relationships from destructively harvested tree biomass to each of the 327 plots from across the tropics shows errors are reduced from 41.8 Mg ha−1 (range 6.6 to 112.4) to 8.0 Mg ha−1 (−2.5 to 23.0) when including $H$. For all plots, above-ground live biomass was 52.2±17.3 Mg ha−1 lower when including H estimates (13%), with the greatest reductions in estimated biomass in Brazilian Shield forests and relatively no change in the Guyana Shield, central Africa and southeast Asia. We show fundamentally different stand structure across the four forested tropical continents, which affects biomass reductions due to $H$. African forests store a greater portion of total biomass in large-diameter trees and trees are on average larger in diameter. This contrasts to forests on all other continents where smaller-diameter trees contain the greatest fractions of total biomass. After accounting for variation in $H$, total biomass per hectare is greatest in Australia, the Guyana Shield, and Asia and lowest in W. Africa, W. Amazonia, and the Brazilian Shield (descending order). Thus, if closed canopy tropical forests span 1668 million km2 and store 285 Pg C, then the overestimate is 35 Pg C if H is ignored, and the sampled plots are an unbiased statistical representation of all tropical forest in terms of biomass and height factors. Our results show that tree $H$ is an important allometric factor that needs to be included in future forest biomass estimates to reduce error in estimates of pantropical carbon stocks and emissions due to deforestation.

Download Full-text

Topography Affects Tree Species Distribution and Biomass Variation in a Warm Temperate, Secondary Forest

Forests ◽

10.3390/f10100895 ◽

2019 ◽

Vol 10 (10) ◽

pp. 895 ◽

Cited By ~ 1

Author(s):

Shunzhong Wang ◽

Guang Qi ◽

Benjamin O. Knapp

Keyword(s):

North China ◽

Secondary Forest ◽

Forest Biomass ◽

Tree Biomass ◽

Gentle Slope ◽

Broad Leaved Forest ◽

Average Biomass ◽

Warm Temperate Forest ◽

Total Tree ◽

Warm Temperate

A thorough understanding of carbon storage patterns in forest ecosystems is crucial for forest management to slow the rate of climate change. Here, we explored fine-scale biomass spatial patterns in a secondary warm temperate deciduous broad-leaved forest in north China. A 20-ha plot was established and classified by topographic features into ridge, valley, gentle slope, and steep slope habitats. Total tree biomass varied from 103.8 Mg/ha on the gentle slope habitats to 117.4 Mg/ha on the ridge habitats, with an average biomass of 109.6 Mg/ha across the entire plot. A few species produced the majority of the biomass, with five species contributing 78.4% of the total tree biomass. These five species included Quercus mongolica Fisch. ex Ledeb (41.7 Mg/ha, 38.1%), Betula dahurica Pall. (19.8 Mg/ha, 18.0%), Acer mono Maxim. (12.6 Mg/ha, 11.5%), Betula platyphylla Suk. (7.0 Mg/ha, 6.4%), and Populus davidiana Dode. (4.8 Mg/ha, 4.4%). The five species were also associated with certain habitats; for example, Q. mongolica was positively associated with the ridge habitat and A. mono was positively associated with the valley habitat. Results from this work document the variability in forest biomass across a warm temperate forest ecosystem of north China, with implications for managing and accounting forest carbon.

Download Full-text

Foraging Site Selection of the Middle Spotted Woodpecker (Leiopicus medius Linnaeus) in Primeval Oak-Lime-Hornbeam Forest of the Białowieża National Park: Comparison of Breeding and Non-Breeding Seasons

Forests ◽

10.3390/f12070837 ◽

2021 ◽

Vol 12 (7) ◽

pp. 837

Author(s):

Tomasz Stański ◽

Marzena Stańska ◽

Artur Goławski ◽

Dorota Czeszczewik

Keyword(s):

Breeding Season ◽

Tree Species ◽

National Park ◽

Pedunculate Oak ◽

Intensive Forest Management ◽

Large Trees ◽

Foraging Site ◽

Białowieża National Park ◽

Suitable Habitats ◽

Middle Spotted Woodpecker

The distribution of the Middle Spotted Woodpecker (Leiopicus medius) is restricted to mature deciduous forests with large trees, mainly oaks (Quercus spp.). Intensive forest management resulted in the loss of many suitable habitats, thus resulting in a decline in the population of this species. This study aimed to identify the parameters of foraging sites in the breeding season (April to June) and in the non-breeding season (other months). The research was conducted in the primeval oak-lime-hornbeam forest of the Białowieża National Park, where foraging woodpeckers were observed and detailed parameters of foraging sites were recorded. During the breeding season woodpeckers foraged primarily on European hornbeams (Carpinus betulus L.), but in non-breeding season the use of this tree species decreased by a factor of two, whereas the use of Norway spruces (Picea abies Linnaeus) increased more than twice. The most preferred tree species as a foraging site in both seasons was pedunculate oak (Quercus robur Linnaeus). In the non-breeding season, woodpeckers foraged at sites located higher, and the foraging session was longer compared with the breeding season. In both seasons, woodpeckers preferred dead and large trees and prey gleaning from the tree surface was their dominant foraging technique. Our results confirmed the key role of oaks and large trees, but also revealed the importance of European hornbeams and Norway spruces as foraging sites for the Middle Spotted Woodpecker.

Download Full-text

Biomass and Carbon Stocks of Different Tree Plantations in Entisol Soil of Eastern Chhattisgarh India

Current World Environment ◽

10.12944/cwe.11.3.17 ◽

2016 ◽

Vol 11 (3) ◽

pp. 819-824 ◽

Cited By ~ 1

Author(s):

Atul Bhardwaj ◽

K. K Chandra

Keyword(s):

Tree Species ◽

Carbon Stocks ◽

Total Carbon ◽

Tree Plantations ◽

Total Biomass ◽

Average Biomass ◽

Plant Attributes

In present study, biomass and carbon accumulated in different tree species plantations after 25 year age of planting in entisol soil was evaluated. Plant attributes viz MAI diameter, MAI height, AGB and BGB and total biomass of trees exhibited significant variations among tree species however, A. lebbeck was found to have highest MAI diameter while E. globulus scored the highest MAI height among all other trees of investigation. Total biomass was found maximum 30.16 q/tree followed with 16.66 q/tree in A. lebbeck and E. globulus respectively as compared to average biomass of all tree species (8.15 q/tree). The performances of D. indica and D. sissoo were poor as they rendered less biomass in entisol soil. Total carbon stocks of plantation was estimated highest (942.50 t/ha) in A. lebbeck followed by E. globulus (520.62 t/ha), T. arjuna (143.12 t/ha), A. indica (106.87 t/ha) etc.

Download Full-text

Identifikasi Ekologi Sarang Elang Jawa (Nisaetus bartelsi) Di Taman Nasional Gunung Halimun Salak, Resort Gunung Salak I

JURNAL BIOS LOGOS ◽

10.35799/jbl.11.1.2021.31203 ◽

2021 ◽

Vol 11 (1) ◽

pp. 68

Author(s):

Ratih Ratna Iskandar ◽

Dewi Elfidasari ◽

Pairah Pairah

Keyword(s):

Data Collection ◽

National Parks ◽

Tree Species ◽

National Park ◽

Birds Of Prey ◽

Nest Habitat ◽

Data Collection And Analysis ◽

Schima Wallichii ◽

Tree Characteristics

(Article History: Received November 11, 2020; Revised January 5, 2021; Accepted 28 February 2021) ABSTRAKSalah satu burung pemangsa yang terdapat di Indonesia adalah Elang Jawa (Nisaetus bartelsi). Taman Nasional Gunung Halimun Salak (TNGHS) adalah salah satu taman nasional yang ada di Indonesia. TNGHS merupakan salah satu habitat bagi Elang Jawa, hal ini dikarenakan kondisinya yang bisa dikatakan masih cukup baik dan data-data mengenai burung Elang Jawa di Kawasan TNGHS masih belum memadai. Oleh karena itu, diperlukan eksplorasi mengenai habitat populasi Elang Jawa di Kawasan TNGHS. Penelitian ini bertujuan untuk menjelaskan habitat dan sarang Elang Jawa yang meliputi lokasi, jenis pohon dan ciri-ciri pohon yang digunakan sebagai tempat meletakan sarang di TNGHS. Hal ini berguna untuk memberikan informasi tentang habitat sarang Elang Jawa pada Kawasan tersebut. Metode yang digunakan yaitu survei, pemantauan sarang, wawancara, pengumpulan dan analisis data. Berdasarkan hasil pengamatan N. bartelsi, menggunakan pohon Litsea cordata (Huru) dengan ketinggian 40-60 meter sebagai sarangnya, dan pohon Schima wallichii (Puspa) untuk bertengger. Kata Kunci: Elang Jawa; Habitat; Sarang; TNGHS ABSTRACTOne of the birds of prey found in Indonesia is the Javan Hawk Eagle (Nisaetus bartelsi). Mount Halimun Salak National Park (TNGHS) is one of the national parks in Indonesia. TNGHS is one of the habitats for Javanese eagles. This is because the conditions are still quite good and data on Javanese eagles in the TNGHS area are still inadequate. Therefore, it is necessary to explore the habitat of the Javan hawk population in the TNGHS area. This study aims to explain the habitat and nest of Javanese eagles which include location, tree species and tree characteristics used as a place to place nests in TNGHS. This is useful for providing information about the Javan hawk nest habitat in the area. The methods used are surveys, nest monitoring, interviews, data collection and analysis. Based on the observations of N. bartelsi, using the tree Litsea cordata (Huru) with a height of 40-60 meters as a nest, and the tree Schima wallichii (Puspa) for perching.Keywords: Javan hawk eagle; Habitat; Nest; TNGHS

Download Full-text