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Monday, 3 October 2016

Structure, floristics and diversity of tropical montane rain forests over ultramafic soils on Mount Kinabalu (Borneo) compared with those on non-ultramafic soils

Author

Shin-ichiro Aiba A F , Yoshimi Sawada A , Masaaki Takyu B , Tatsuyuki Seino C , Kanehiro Kitayama D and Rimi Repin E

A Graduate School of Science and Engineering, Kagoshima University, Kagoshima 890-0065, Japan. 
B Faculty of Regional Environmental Science, Tokyo University of Agriculture, Sakuragaoka 1-1-1, Setagaya-ku, Tokyo 156-8502, Japan. 
C Faculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba 305-8572, Japan. 
D Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan. 
E Sabah Parks, PO Box 10626, 88806 Kota Kinabalu, Sabah, Malaysia. 
F Corresponding author. Email: aiba@sci.kagoshima-u.ac.jp
Australian Journal of Botany 63(4) 191-203 http://dx.doi.org/10.1071/BT14238
Submitted: 12 September 2014  Accepted: 13 February 2015   Published: 23 April 2015 

Abstract

We describe here the structure, floristics and diversity of tropical montane rain forests over ultramafic soils on Mount Kinabalu, Borneo, and compared them with those on non-ultramafic soils. We used 14 sample plots from 1580 to 3080 m elevation, six on ultramafic soils and eight on non-ultramafic soils, and identified all trees ≥4.8 cm diameter. The plot area ranged from 0.1 to 1 ha, the majority (nine plots) being 0.25 ha. Forests on ultramafic soils showed more stunted structure, especially at higher altitudes, than those on non-ultramafic soils and on ridges than on slopes. Species of Coniferae (Araucariaceae and Podocarpaceae) and Myrtaceae strongly dominated on ultramafic soils occupying 61–96% of basal area in each plot, compared with 22–63% on non-ultramafic soils. Among 287 species found in the 14 plots, only nine species (including four species endemic to Mount Kinabalu) were strictly restricted to ultramafic soils. Nonmetric multidimensional scaling demonstrated that elevational change in species composition was accelerated on ultramafic soils and on ridges. Tree species diversity was generally lower on ultramafic soils than on non-ultramafic soils at the comparative altitudes. Multiple regression analysis suggested that soil nutrients (phosphorus and nitrogen) could be the cause of vegetation differentiation between ultramafic and non-ultramafic soils, although the data on soil metals are lacking. Comparison of our results with those from other mountains with ultramafic soils in South-east Asia demonstrated the uniqueness of the montane rain forests over ultramafic soils on Mount Kinabalu.

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For further details log on website :
http://www.publish.csiro.au/bt/BT14238

80 percent of Malaysian Borneo degraded by logging

Published Date
Date:
July 17, 2013
Source:
Carnegie Institution
Summary:
A new study has found that more than 80 percent of tropical forests in Malaysian Borneo have been heavily impacted by logging. The team used the Carnegie Landsat Analysis System-lite (CLASlite) to reveal the vast and previously unmapped extent of heavily logged forest. CLASlite's high-resolution satellite imaging uncovered logging roads in Brunei and in the Malaysian states of Sabah and Sarawak on the island of Borneo.
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Landsat images showing successive roads (in pink) built between 1990 and 2009 in a forested region of the ‘Heart of Borneo’, Sarawak.
Credit: Bryan JE, Shearman PL, Asner GP, Knapp DE, Aoro G, et al. (2013) Extreme Differences in Forest Degradation in Borneo: Comparing Practices in Sarawak, Sabah, and Brunei. PLoS ONE 8(7): e69679. doi:10.1371/journal.pone.0069679
A study published in the July 17, issue of the journal PLOS ONE found that more than 80% of tropical forests in Malaysian Borneo have been heavily impacted by logging.
The team used the Carnegie Landsat Analysis System-lite (CLASlite) to reveal the vast and previously unmapped extent of heavily logged forest. CLASlite's high-resolution satellite imaging uncovered logging roads in Brunei and in the Malaysian states of Sabah and Sarawak on the island of Borneo.
CLASlite, developed by Carnegie's Greg Asner and team, has the unique ability to convert satellite images of seemingly dense tropical forest cover into highly detailed maps of deforestation and forest degradation. The user-friendly monitoring system has been made available to hundreds of governments, nongovernmental organizations, and academic institutions for use in mapping tropical forests.
Analysis of satellite imagery collected from 1990 and 2009 over Malaysian Borneo showed approximately 226,000 miles (364,000 km) of roads constructed throughout the forests of this region. Nearly 80% of the land surface of Sabah and Sarawak was impacted by previously undocumented, high-impact logging or clearing operations. This finding contrasted strongly with neighboring Brunei, where 54% of the land area maintained intact unlogged forest.
Team leader Jane Bryan said: "There is a crisis in tropical forest ecosystems worldwide, and our work documents the extent of the crisis on Malaysian Borneo. Only small areas of intact forest remain in Malaysian Borneo, because so much has been heavily logged or cleared for timber or oil palm production. Rainforests that previously contained lots of big old trees, which store carbon and support a diverse ecosystem, are being replaced with oil palm or timber plantations, or hollowed out by logging."
Only 8% and 3% of land area in Sabah and Sarawak, respectively, was covered by intact forests in designated protected areas. Very few forest ecosystems remain intact in Sabah or Sarawak. But Brunei has largely excluded industrial logging from its borders and has been comparatively successful in protecting its forests.
Greg Asner commented: "The results are sobering. The problem with previous monitoring reports is that they have been based on satellite mapping methods that have missed most of the forest degradation in Malaysian Borneo, and elsewhere throughout the tropics. I'm talking about heavy logging that leaves a wake of forest degradation, even though the area may still look like forest in conventional satellite imagery. With the CLASlite system, we can see the effects of logging on the inner canopy of the forest. The system revealed extremely widespread degradation in this case."
Co-author of the study Phil Shearman said: "The extent of logging in Sabah and Sarawak documented in our work is breathtaking. The logging industry has penetrated right into the heart of Borneo and very little rainforest remains untouched by logging or clearfell in Malaysian Borneo. Brunei provides a stunning contrast. Most of Brunei's forests are still intact, as a result of largely excluding the logging industry from its borders. The situation in these tropical forests is now so severe that any further sacrifice of intact ecosystems to the logging industry should be off the table."
This work was an international collaboration between the School of Geography and Environmental Studies at the University of Tasmania, in Hobart, Australia; the University of Papua New Guinea Remote Sensing Centre, in Port Moresby, Papua New Guinea; and the Department of Global Ecology, at the Carnegie Institution for Science, California. The CLASlite capacity building project is made possible by the Gordon and Betty Moore Foundation.

Story Source:
Materials provided by Carnegie InstitutionNote: Content may be edited for style and length

Journal Reference:
  1. Jane E. Bryan, Philip L. Shearman, Gregory P. Asner, David E. Knapp, Geraldine Aoro, Barbara Lokes. Extreme Differences in Forest Degradation in Borneo: Comparing Practices in Sarawak, Sabah, and BruneiPLoS ONE, 2013; 8 (7): e69679 DOI: 10.1371/journal.pone.0069679

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https://www.sciencedaily.com/releases/2013/07/130717173002.htm

Assessment of Above-Ground Biomass of Borneo Forests through a New Data-Fusion Approach Combining Two Pan-Tropical Biomass Maps

Published Date
Received: 17 April 2015 / Revised: 22 July 2015 / Accepted: 31 July 2015 / Published: 4 August 2015

Author 

1
European Commission, Joint Research Centre, Institute for Environment and Sustainability, Via E. Fermi, 2749, I-21027 Ispra (VA), Italy
2
Graduate School of Agriculture, Kyoto University, Oiwake-cho, Kitashirakawa, Sakyo-ku, Kyoto 606-8502, Japan
3
Department of International Studies, Graduate School of Frontier Science, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa-shi, Chiba 277-8563, Japan
*
Author to whom correspondence should be addressed. 
Academic Editor: Nophea Sasaki
Received: 17 April 2015 / Revised: 22 July 2015 / Accepted: 31 July 2015 / Published: 4 August 2015
(This article belongs to the Special Issue Carbon Emission Reductions and Removals in Tropical Forests)

Abstract

This study investigates how two existing pan-tropical above-ground biomass (AGB) maps (Saatchi 2011, Baccini 2012) can be combined to derive forest ecosystem specific carbon estimates. Several data-fusion models which combine these AGB maps according to their local correlations with independent datasets such as the spectral bands of SPOT VEGETATION imagery are analyzed. Indeed these spectral bands convey information about vegetation type and structure which can be related to biomass values. Our study area is the island of Borneo. The data-fusion models are evaluated against a reference AGB map available for two forest concessions in Sabah. The highest accuracy was achieved by a model which combines the AGB maps according to the mean of the local correlation coefficients calculated over different kernel sizes. Combining the resulting AGB map with a new Borneo land cover map (whose overall accuracy has been estimated at 86.5%) leads to average AGB estimates of 279.8 t/ha and 233.1 t/ha for forests and degraded forests respectively. Lowland dipterocarp and mangrove forests have the highest and lowest AGB values (305.8 t/ha and 136.5 t/ha respectively). The AGB of all natural forests amounts to 10.8 Gt mainly stemming from lowland dipterocarp (66.4%), upper dipterocarp (10.9%) and peat swamp forests (10.2%). Degraded forests account for another 2.1 Gt of AGB. One main advantage of our approach is that, once the best fitting data-fusion model is selected, no further AGB reference dataset is required for implementing the data-fusion process. Furthermore, the local harmonization of AGB datasets leads to more spatially precise maps. This approach can easily be extended to other areas in Southeast Asia which are dominated by lowland dipterocarp forest, and can be repeated when newer or more accurate AGB maps become available.

Keywords: AGB;  biomass;  data-fusion;  weighted averaging;  vegetation;  Borneo

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 4.0).

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http://www.mdpi.com/2073-445X/4/3/656

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