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Walia Special Edition on the Bale Mountains (2011) - Zoologische ...

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Mapping High-Altitude Vegetati<strong>on</strong> in <strong>the</strong> <strong>Bale</strong> <strong>Mountains</strong>, Ethiopia<br />

Lucy A. Tallents* and David W. Macd<strong>on</strong>ald<br />

Wildlife C<strong>on</strong>servati<strong>on</strong> Research Unit, University of Oxford, Tubney House, Abingd<strong>on</strong> Road,<br />

Tubney, Abingd<strong>on</strong>, Ox<strong>on</strong>, Ox13 5qL, UK.<br />

*Email: lucy.tallents@linacre.ox<strong>on</strong>.org<br />

Abstract<br />

We used remotely-sensed multi-spectral imagery to develop a map of Afroalpine vegetati<strong>on</strong> in <strong>the</strong><br />

<strong>Bale</strong> <strong>Mountains</strong> in sou<strong>the</strong>rn Ethiopia. This is <strong>the</strong> largest and most intact area of Afroalpine vegetati<strong>on</strong><br />

over 3000 m a.s.l., and harbours many endemic flora and fauna, including several <strong>Bale</strong> endemics<br />

and <strong>the</strong> largest populati<strong>on</strong> of <strong>the</strong> rarest canid in <strong>the</strong> world, <strong>the</strong> Ethiopian wolf Canis simensis.<br />

We isolated 23 spectrally separable land cover classes using unsupervised classificati<strong>on</strong>.<br />

Quantitative vegetati<strong>on</strong> surveys provide descripti<strong>on</strong>s of each class. All classes for which sufficient<br />

ground-truthing data existed (n = 17) were statistically distinct in terms of substrate, species<br />

compositi<strong>on</strong>, height and/or vegetati<strong>on</strong> cover. The majority of classes identified discrete vegetati<strong>on</strong><br />

communities, while some represented <strong>the</strong> interface of different land cover types which occurred in<br />

<strong>the</strong> same pixel.<br />

The map provides a comprehensive baseline from which to m<strong>on</strong>itor <strong>the</strong> effects of<br />

anthropogenic activities and global warming <strong>on</strong> <strong>the</strong> extent and degradati<strong>on</strong> of alpine vegetati<strong>on</strong> in<br />

<strong>the</strong> <strong>Bale</strong> <strong>Mountains</strong>, and is a valuable tool for planning natural resource use management within <strong>the</strong><br />

<strong>Bale</strong> <strong>Mountains</strong> Nati<strong>on</strong>al Park. It also provides <strong>the</strong> c<strong>on</strong>text for research into <strong>the</strong> habitat preferences<br />

and ecology of <strong>the</strong> endemic wildlife which <strong>the</strong> park was established to protect.<br />

Introducti<strong>on</strong><br />

An understanding of <strong>the</strong> status and spatial distributi<strong>on</strong> of resources is a prerequisite for effective natural<br />

resource management and integral to <strong>the</strong> management of both exploited and pristine ecosystems.<br />

As well as enabling <strong>the</strong> m<strong>on</strong>itoring and assessment of flora, vegetati<strong>on</strong> maps are often <strong>the</strong> first step<br />

in mapping <strong>the</strong> distributi<strong>on</strong> of o<strong>the</strong>r taxa, and as such are vital tools in cataloguing and managing<br />

biodiversity. Such maps provide baseline data <strong>on</strong> <strong>the</strong> current abundance of endangered species and<br />

offer a framework within which to plan ecological research, investigate species interacti<strong>on</strong>s, and<br />

assess <strong>the</strong> resp<strong>on</strong>se of natural communities to global climate change.<br />

The <strong>Bale</strong> <strong>Mountains</strong> are a water catchment (Hillman 1986b) and c<strong>on</strong>servati<strong>on</strong> landscape<br />

(Mittermeier et al. 2005) of internati<strong>on</strong>al importance. Our aim was to map vegetati<strong>on</strong> in <strong>the</strong> Afroalpine<br />

z<strong>on</strong>e of <strong>the</strong> <strong>Bale</strong> <strong>Mountains</strong> at a finer spatial scale and broader extent than previously achieved.<br />

<str<strong>on</strong>g>Walia</str<strong>on</strong>g>-<str<strong>on</strong>g>Special</str<strong>on</strong>g> <str<strong>on</strong>g>Editi<strong>on</strong></str<strong>on</strong>g> <strong>on</strong> <strong>the</strong> <strong>Bale</strong> <strong>Mountains</strong> 97

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