New approach predicts threats to rainforests
With rain forests at risk the world over, a new collaboration is equipping conservationists with the tools to predict and plan for future forest loss.
A new study by scientists from the Universities of Oxford, Montana and the US Forest Service highlights novel approaches to tackling deforestation. The team focused their research on Borneo, an island that has lost a staggering 30 percent of its forest since the 1970s and is among the most biodiverse and threatened on the planet.
The loss of Bornean forests threatens species such as the orangutan, Sumatran rhino, and the Sunda clouded leopard; as well as emitting significant amounts of carbon dioxide into the atmosphere.
Although focussed on Borneo, the study findings, published in Landscape Ecology, will be useful to all forest conservationists, and could help tropical forests around the world.
The study took an innovative approach to conducting their data analysis, using existing maps of the area and the machine learning algorithm 'Random Forests', the team built a multi-scale model of deforestation on the island over time (from 2000- 2010).
After calculating the historic links between landscape variables and deforestation, the team used this information to predict the future deforestation risk facing Borneo's remaining forests. The goal of this study was to provide national authorities with a tool that would support them to recognise potential deforestation threats in the future.
The deforestation risk factors varied from nation to nation, within the island. In Brunei, deforestation was associated with a highly patchy landscape with multiple land uses within a 10km radius and a large amount of forest edge. By contrast, in the Malaysian provinces of Borneo, deforestation was associated with a high proportion of lowland mosaic landscape types within 20km and high proportions of existing plantations within 30km. This led to a diffuse pattern of risk across Malaysian forests. Finally, in the Indonesian provinces of Borneo, deforestation was associated with areas of low elevation and a highly patchy landscape, leading to strong frontiers of deforestation risk.
Ewan Macdonald, joint first author and a researcher in Oxford's Wildlife Conservation Research Unit (WildCRU) said: 'Our results provide the best insight to date of where the highest risks lie to Borneo's remaining forests. I hope this will help governments and conservation planners to develop effective strategies to combat these risks and to conserve these beautiful forests for future generations.
'If we understand where risks lurk, we can plan action to counteract them. And these risks are real and imminent for many species, such as the beautiful and enigmatic Sunda clouded leopard, which are threatened by Borneo's forest loss. I hope our understanding of the patterns of deforestation risk will provide a vital tool in developing effective conservation strategies.'
The research findings strongly suggest that this novel approach offer a powerful method for analysing land use change. In addition, it highlights the immense and imminent deforestation risk to Borneo's forest biodiversity, with clear spatial patterns of risk related to topography and landscape structure that differ between the three nations that comprise Borneo.
Samuel Cushman, joint first author, Director of the Center for Landscape Science and Research Landscape Ecologist at the U.S. Forest Service Rocky Mountain Research Station said: 'It is well accepted that ecological processes interact across a range of scales both in time and space; despite this, very few studies have explicitly accounted for scale dependence in predictive modelling. This analysis highlights the power of multi scale approaches to land cover change modelling and we hope it will encourage other researchers to adopt this approach.'
Professor David Macdonald, Director of Oxford's Wildlife Conservation Research Unit said: 'Borneo's majestic forests and glorious wildlife are beacons to the world and what's so exciting about this study is that the intelligence gained from studying patterns in Borneo, sheds a light to illuminate a way of helping tropical forests around the world. The innovation lies in a methodology that can be rolled out far beyond Borneo.'
Notes to editors:
The study is described in the paper "Multiple-scale prediction of forest loss risk across Borneo" published in the journal Landscape Ecology. https://link.springer.com/article/10.1007%2Fs10980-017-0520-0
Image credits and captions:
Map from the study showing the predicted risk of deforestation across Borneo's remaining forests. Red areas represent areas of highest risk.
Photo of a Sunda clouded leopard captured as part of a WildCRU study into their ecology in Malaysian Borneo. Deforestation is one of the biggest threats to clouded leopards. (Photo Credit: Andrew Hearn, WildCRU)
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David Macdonald founded the Wildlife Conservation Research Unit (WildCRU) in 1986 at the University of Oxford. Now the foremost University-based centre for biodiversity conservation, the mission of the WildCRU is to achieve practical solutions to conservation problems through original research. WildCRU is renowned for its specialisation in wild carnivores, especially wild cats, for its long-running studies on lion and clouded leopard, and for its training centre, where early-career conservationists, so far from 32 countries, are trained by experts to become leaders in conservation, resulting in a global community of highly skilled and collaborative conservationists. Visit wildcru.org
About the U.S. Forest Service
The mission of the Forest Service, part of the U.S. Department of Agriculture, is to sustain the health, diversity, and productivity of the Nation's forests and grasslands to meet the needs of present and future generations. The agency manages 193 million acres of public land, provides assistance to state and private landowners, and maintains the largest forestry research organization in the world. USDA is an equal opportunity provider, employer, and lender.
The Mathematical, Physical and Life Sciences Division (MPLS) is one of four academic divisions at the University of Oxford, representing the non-medical sciences. Oxford is one of the world's leading universities for science, and MPLS is at the forefront of scientific research across a wide range of disciplines. Research in the mathematical, physical and life sciences at Oxford was rated the best in the UK in the 2014 Research Excellence Framework