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What drives food security for wildlife in logged and intact forests of tropical Borneo?
- Source :
-
International journal of biometeorology [Int J Biometeorol] 2022 Apr; Vol. 66 (4), pp. 753-767. Date of Electronic Publication: 2022 Jan 20. - Publication Year :
- 2022
-
Abstract
- Timber extraction is often cited as detrimental to wildlife ecology. Little information, however, in particular from the Southeast Asian tropics, is available on how exactly logging affects wildlife food security. To address the gap, this paper presents the first high-resolution comparison of fruit production between logged and intact forests in lowland Borneo. In the period of 2004-2008, dry weight of fruit litter was assessed as a proxy for food security of wildlife. The pheno-phases of 1,054 trees in 14 sampling plots were monitored for 54 months. A total of 143,184 fruits from 50 tree families were collected from six sampling transects totalling 810 km in 34 months. Surprisingly, logged forest (mean = 23.3 kg ha <superscript>-1</superscript> , SD = 48.9) produced more fruit litter than intact forest (mean = 16.7 kg ha <superscript>-1</superscript> , SD = 23.3), although the difference is not significant based on Student's t test; t(66) = 0.702, p = 0.485. Pheno-phases could not be entirely explained by rainfall and temperature variables. Some evidence, however, indicates tree species composition, stand structure and sunlight exposure were likely determinants of flowering and fruit litter intensity. All things being equal, results imply selective logging if considerately practiced may increase food security for wildlife. The findings, however, should be interpreted with caution since tropical forest phenology and fruit productivity are also driven by a suite of small-scale edaphic attributes and large-scale spatio-temporal meteorological forcing. Although this research deals mainly with Borneo, the principles discussed and insights offered herein are valuable for furthering conversation around sustainable forestry in tropical Asia and elsewhere globally.<br /> (© 2022. The Author(s) under exclusive licence to International Society of Biometeorology.)
Details
- Language :
- English
- ISSN :
- 1432-1254
- Volume :
- 66
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- International journal of biometeorology
- Publication Type :
- Academic Journal
- Accession number :
- 35059819
- Full Text :
- https://doi.org/10.1007/s00484-021-02234-6