Large trees as key elements of carbon storage and dynamics after selective logging in the Eastern Amazon

Sist, Plínio; Mazzei, Lucas; Blanc, Lilian; Rutishauser, Ervan

doi:10.1016/j.foreco.2014.01.005

Cited by 111 publications

(112 citation statements)

References 42 publications

Supporting

Mentioning

103

Contrasting

Unclassified

Order By: Relevance

“…Sebagai contoh, fungsi pohon besar di antaranya menyimpan stok karbon dalam jumlah yang besar, menciptakan iklim mikro yang mempengaruhi nutrisi tanah, memainkan peranan yang penting dalam hidrologi lokal, menyediakan sumber makanan bagi hewan dalam bentuk buah, daun, nektar, serta menjadi tempat tinggal atau berteduh beberapa jenis vertebrata Lindenmeyer et al 2012). Terkait fungsinya sebagai penyimpan stok karbon, pohon besar telah diketahui memainkan peranan yang penting dalam siklus karbon global sehingga menjadi fokus utama dalam penelitan biomassa dan atau karbon dalam beberapa tahun terakhir ini (Slik et al 2013;Stephenson et al 2014;Sist et al 2014;.…”

Section: Pendahuluanunclassified

See 1 more Smart Citation

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

Rozak

Astutik

Mutaqien

et al. 2017

Jurnal Ilmu Kehutanan

View full text Add to dashboard Cite

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.

show abstract

Section: Pendahuluanunclassified

“…Penelitian kontribusi pohon besar terhadap biomassa telah dilakukan oleh peneliti pada berbagai belahan kawasan hutan dunia Slik et al 2013;Sist et al 2014;. …”

Section: Kontribusi Pohon Besar Terhadap Biomassaunclassified

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

Rozak

Astutik

Mutaqien

et al. 2017

Jurnal Ilmu Kehutanan

View full text Add to dashboard Cite

show abstract

“…Positive effects of logging per se last more than eight years [62] and may be increased by the use of silvicultural treatments [63,64]. The latter is of particular importance considering the productivity of the remaining big trees [65]. Although reducing the competition through logging may counterbalance the impacts of water stress by increasing the average amount of water available per tree, our results show that interaction terms (θ 6 and θ 10 ) are rarely retained in the final models for the 14 studied commercial species.…”

Section: Reducing the Competition To Improve The Water Budgetmentioning

confidence: 99%

Vulnerability of Commercial Tree Species to Water Stress in Logged Forests of the Guiana Shield

Fargeon

Aubry‐Kientz

Brunaux

et al. 2016

Forests

View full text Add to dashboard Cite

Abstract:The future of tropical managed forests is threatened by climate change. In anticipation of the increase in the frequency of drought episodes predicted by climatic models for intertropical regions, it is essential to study commercial trees' resilience and vulnerability to water stress by identifying potential interaction effects between selective logging and stress due to a lack of water. Focusing on 14 species representing a potential or acknowledged commercial interest for wood production in the Guiana Shield, a joint model coupling growth and mortality for each species was parametrized, including a climatic variable related to water stress and the quantity of aboveground biomass lost after logging. For the vast majority of the species, water stress had a negative impact on growth rate, while the impact of logging was positive. The opposite results were observed for the mortality. Combining results from growth and mortality models, we generate vulnerability profiles and ranking from species apparently quite resistant to water stress (Chrysophyllum spp., Goupia glabra Aubl., Qualea rosea Aubl.), even under logging pressure, to highly vulnerable species (Sterculia spp.). In light of our results, forest managers in the Guiana Shield may want to conduct (i) a conservation strategy of the most vulnerable species and (ii) a diversification of the logged species. Conservation of the already-adapted species may also be considered as the most certain way to protect the tropical forests under future climates.

show abstract

“…It is often argued that, by definition, the least-squares regression model implies that tree-level errors are globally centered on 0, thus limiting the plot-level prediction error to approximately 5-10 % for a standard 1 ha forest plot Moundounga Mavouroulou et al, 2014). However, systematic errors associated with large trees are expected to disproportionally propagate to plot-level predictions because of their prominent contribution to plot AGB (Bastin et al, 2015;Clark and Clark, 1996;Sist et al, 2014;Slik et al, 2013;Stephenson et al, 2014). Thus, identifying the origin of systematic errors in such biomass allometric models is a prerequisite for improving local biomass estimations and thus limiting the risk of uncontrolled error propagation to broad-scale extrapolations.…”

Section: Introductionmentioning

confidence: 99%

Closing a gap in tropical forest biomass estimation: taking crown mass variation into account in pantropical allometries

Ploton¹,

Barbier²,

Takoudjou³

et al. 2016

Biogeosciences

View full text Add to dashboard Cite

Abstract. Accurately monitoring tropical forest carbon stocks is a challenge that remains outstanding. Allometric models that consider tree diameter, height and wood density as predictors are currently used in most tropical forest carbon studies. In particular, a pantropical biomass model has been widely used for approximately a decade, and its most recent version will certainly constitute a reference model in the coming years. However, this reference model shows a systematic bias towards the largest trees. Because large trees are key drivers of forest carbon stocks and dynamics, understanding the origin and the consequences of this bias is of utmost concern. In this study, we compiled a unique tree mass data set of 673 trees destructively sampled in five tropical countries (101 trees > 100 cm in diameter) and an original data set of 130 forest plots (1 ha) from central Africa to quantify the prediction error of biomass allometric models at the individual and plot levels when explicitly taking crown mass variations into account or not doing so. We first showed that Published by Copernicus Publications on behalf of the European Geosciences Union. P. Ploton et al.: Closing a gap in tropical forest biomass estimationthe proportion of crown to total tree aboveground biomass is highly variable among trees, ranging from 3 to 88 %. This proportion was constant on average for trees < 10 Mg (mean of 34 %) but, above this threshold, increased sharply with tree mass and exceeded 50 % on average for trees ≥ 45 Mg. This increase coincided with a progressive deviation between the pantropical biomass model estimations and actual tree mass. Taking a crown mass proxy into account in a newly developed model consistently removed the bias observed for large trees (> 1 Mg) and reduced the range of plot-level error (in %) from [−23; 16] to [0; 10]. The disproportionally higher allocation of large trees to crown mass may thus explain the bias observed recently in the reference pantropical model. This bias leads to far-from-negligible, but often overlooked, systematic errors at the plot level and may be easily corrected by taking a crown mass proxy for the largest trees in a stand into account, thus suggesting that the accuracy of forest carbon estimates can be significantly improved at a minimal cost.

show abstract

Large trees as key elements of carbon storage and dynamics after selective logging in the Eastern Amazon

Cited by 111 publications

References 42 publications

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

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

Vulnerability of Commercial Tree Species to Water Stress in Logged Forests of the Guiana Shield

Closing a gap in tropical forest biomass estimation: taking crown mass variation into account in pantropical allometries

Contact Info

Product

Resources

About