The impact of selective commercial logging on stream hydrology, chemistry and sediment loads in the Ulu Segama rain forest, Sabah, Malaysia

Douglas, Ian; Spencer, Tom; Greer, Tony; Bidin, Kawi; Sinun, Waidi; Meng, Wong Wai

doi:10.1098/rstb.1992.0031

Cited by 99 publications

(29 citation statements)

References 5 publications

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“…During the monthly surveys (March 1999to February 2000, total monthly rainfall at the study site ranged from 144.8 mm (September 1999) to 489.4 mm (January 2000; 12-monthly mean = 288.7, SD = 100.0). Rainfall during this period was typically high and similar to the normal average of 233 mm mo -1 (Douglas et al 1992). …”

Section: Determining the Distribution Of Suitable Habitatmentioning

confidence: 99%

Rainfall but not selective logging affect changes in abundance of a tropical forest butterfly in Sabah, Borneo

et al. 2003

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eprints@whiterose.ac.uk https://eprints.whiterose.ac.uk/ Reuse Unless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version -refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher's website. TakedownIf you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request. Journal of Tropical Ecology Abstract:We investigated the effects of rainfall on the distribution and abundance of the satyrine butterfly Ragadia makuta in selectively logged and unlogged forest on Borneo. In 1997-98, there was a severe El Niño-Southern Oscillation (ENSO) drought, and annual surveys over a 4-y period showed that abundance of R. makuta was greatly reduced during the drought, but that populations quickly recovered after it. Monthly surveys over a 12-mo period of typical rainfall showed that high rainfall in the month preceding surveys significantly reduced butterfly abundance. Butterfly abundance and distribution did not differ between selectively logged and unlogged areas in either monthly or annual surveys and there was no difference between selectively logged and unlogged areas in the pattern of post-drought recovery. These results indicate that the abundance of R. makuta was significantly reduced both after high rainfall and during severe drought, but that these impacts were short-lived and were not affected by habitat disturbance. ENSO droughts on Borneo naturally often lead to widespread forest fires and thus impacts of ENSO events for butterflies are more likely to be due to indirect effects of habitat loss, rather than direct effects of drought on butterfly population dynamics.

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Section: Determining the Distribution Of Suitable Habitatmentioning

confidence: 99%

Rainfall but not selective logging affect changes in abundance of a tropical forest butterfly in Sabah, Borneo

et al. 2003

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“…Streamflow (via calibrated stage monitoring) and suspended sediment concentration (SSC) have been measured at the selectively logged Baru catchment and the primary forest West (W8S5) catchment since mid-1988 and at the Segama at Danum since 1985 (figure 1). Early instrumentation is described by Douglas et al [4]. In July 1995, these observations were complemented by turbidity monitoring at 10 s intervals using a Partech IR15C probe, where data were typically integrated over 5 min periods for further analysis [6,7].…”

Section: Methods (A) Measurement Of Slope Erosionmentioning

confidence: 99%

“…Previous papers established the complex nature (figure 2) of the erosional response from 1988 to 2003 for selective logging of the small (0.44 km 2 ) Baru catchment. The recovery was punctuated by extreme events, including a secondary peak in 1994-1997 linked to the biogenic decay of logs in road bridges, culverts and stream debris dams, and a spatial switch in sediment sources to landslides and their scars and deposits along a mid-slope-aligned logging road [3][4][5][6][7][8]. Against this background, four interlinked questions are addressed.…”

Section: Introductionmentioning

confidence: 99%

Long-term responses of rainforest erosional systems at different spatial scales to selective logging and climatic change

Walsh

Bidin

Blake

et al. 2011

Phil. Trans. R. Soc. B

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Long-term (21-30 years) erosional responses of rainforest terrain in the Upper Segama catchment, Sabah, to selective logging are assessed at slope, small and large catchment scales. In the 0.44 km 2 Baru catchment, slope erosion measurements over 1990-2010 and sediment fingerprinting indicate that sediment sources 21 years after logging in 1989 are mainly road-linked, including fresh landslips and gullying of scars and toe deposits of 1994 -1996 landslides. Analysis and modelling of 5 -15 min stream-suspended sediment and discharge data demonstrate a reduction in stormsediment response between 1996 and 2009, but not yet to pre-logging levels. An unmixing model using bed-sediment geochemical data indicates that 49 per cent of the 216 t km 22 a 21 2009 sediment yield comes from 10 per cent of its area affected by road-linked landslides. Fallout 210 Pb and 137 Cs values from a lateral bench core indicate that sedimentation rates in the 721 km 2 Upper Segama catchment less than doubled with initially highly selective, low-slope logging in the 1980s, but rose 7 -13 times when steep terrain was logged in 1992 -1993 and 1999-2000. The need to keep steeplands under forest is emphasized if landsliding associated with current and predicted rises in extreme rainstorm magnitude-frequency is to be reduced in scale.

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“…In all river catchments, human disturbance generally increases the loss of nutrients and sediments in proportion to the scale of the disturbance. Relatively small disturbances, such as selective forestry, lead to a noticeable increase in the run-off of nutrients and sediments Douglas et al 1992), whereas partial or whole replacement with plantation forests increases these losses further (Malmer 1996;Bubb et al 2000). Much higher levels of disturbance, such as deforestation and land clearing, lead to considerably higher losses of nutrients and sediments Lal 1996;Walling 1999).…”

Section: Concentration (µG Lmentioning

confidence: 99%

Relationships between land use and nutrient concentrations in streams draining a 'wet-tropics' catchment in northern Australia

Mitchell

Reghenzani²,

Faithful

et al. 2009

Mar. Freshwater Res.

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Abstract. Differences in stream nutrient concentrations typically reflect upstream differences in land use. In particular, nitrate concentrations are greatly increased by losses from nitrogen (N) fertiliser applied to areas of intensive cropping. In the present study, a relationship between the area of such land use and the nitrate concentrations in the receiving streams was predicted. This relationship was tested using several data sets from the Tully basin, in the wet-tropics bioregion of north Queensland, Australia. The proportions of fertiliser-additive land use (FALU), mostly sugarcane and bananas, were correlated with the concentrations of nutrients in streams that drain these land uses. The data compared included two longterm sampling studies in the Tully River catchment and more recent, broader catchment sampling and plot-scale studies in this region. A strong relationship was shown for nitrate, but weaker relationships were observed for other N-nutrient and P-nutrient forms. Comparisons were made with contemporary and historical land-use changes in the Tully basin. The strong relationship of FALU with nitrate provides evidence that the nitrate exports from this catchment are largely derived from fertiliser use. This relationship can be used to derive nitrate run-off coefficients for fertilised land use in catchment models or to monitor changes following management to reduce fertiliser usage.

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The impact of selective commercial logging on stream hydrology, chemistry and sediment loads in the Ulu Segama rain forest, Sabah, Malaysia

Cited by 99 publications

References 5 publications

Rainfall but not selective logging affect changes in abundance of a tropical forest butterfly in Sabah, Borneo

Rainfall but not selective logging affect changes in abundance of a tropical forest butterfly in Sabah, Borneo

Long-term responses of rainforest erosional systems at different spatial scales to selective logging and climatic change

Relationships between land use and nutrient concentrations in streams draining a 'wet-tropics' catchment in northern Australia

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