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201403Mar21:07

Beat­ing poach­ers — with mathematics

Infor­ma­tion
pub­lished 03 March 2014 | mod­i­fied 25 Decem­ber 2014
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Envi­ron­men­tal sci­en­tists have devel­oped a new, low-​cost way to save rare ani­mals and plants from poach­ers and plun­der­ers — using maths.

Elephant corpse ChadUni­ver­sity of Queens­land researchers in the ARC Cen­tre of Excel­lence for Envi­ron­men­tal Deci­sions (CEED) are part of a study that used a cun­ning math­e­mat­i­cal model to out­wit poach­ers in cen­tral Africa. Dr Richard Fuller of CEED and The Uni­ver­sity of Queens­land said that by study­ing the poach­ers’ incur­sion pat­terns and pri­ori­tis­ing patrols, the tech­nol­ogy could improve pro­tec­tion of endan­gered ani­mals and plants where they most need it, while min­imis­ing patrol and con­ser­va­tion costs. The study was pub­lished online on 24 Feb­ru­ary in the Jour­nal of Applied Ecology.

“The prob­lem of patrolling to pro­tect endan­gered ani­mals and plants is that bud­gets are usu­ally tiny. Patrol teams often con­sist of sev­eral rangers who have to cover a mas­sive area. Our study in cen­tral Africa showed that patrols are usu­ally car­ried out near patrol sta­tions where rangers are based, and they aren’t very effec­tive at stop­ping ille­gal hunt­ing beyond a few kilometres.”

The sci­en­tists car­ried out the research in Africa’s Greater Virunga Land­scape — one of the most bio­di­verse places on Earth, with 13 pro­tected areas cov­er­ing 13,800 square kilo­me­tres. The team stud­ied which areas had the most ille­gal poach­ing and log­ging, the impact on wildlife, and the cost of patrolling the threat­ened areas.

It means we can pro­tect and save more species for the same investment
Dr James Wat­son, co-​author, CEED, The Uni­ver­sity of Queens­land and Wildlife Con­ser­va­tion Society »

Dr James Wat­son said the researchers included all the infor­ma­tion in a math­e­mat­i­cal model that pri­ori­tised the loca­tion of patrols. “For exam­ple, since the poach­ers know well where the patrol bases are, patrollers should tar­get more remote areas — a hotspot for ille­gal poach­ers — by extend­ing their patrols,” Dr Wat­son said. “The study showed that this reduced the cost of meet­ing all con­ser­va­tion tar­gets in the land­scape by as much as 63 per cent. By pro­vid­ing a big pic­ture view of the entire land­scape, the model enabled us to max­imise con­ser­va­tion efforts on a lim­ited budget.”

Dr Fuller said that apart from deter­ring ille­gal poach­ing, the approach could also be used to pre­vent dis­tur­bance of threat­ened species by human activ­ity, or to pre­vent major weed inva­sions. Using migra­tory shore­birds in Queensland’s More­ton Bay as an exam­ple, he explained that the State gov­ern­ment could impose hefty fines on peo­ple whose pets and cars dis­turb the birds. “They also set up patrols to enforce the rules, but it’s exactly the same prob­lem that we had in Africa — small bud­get, big area,” Dr Fuller said.

“The same goes for our grow­ing weed prob­lem — it’s usu­ally small teams of peo­ple try­ing to tackle the prob­lem, but there are mil­lions of hectares of Aus­tralia to be cov­ered. With this model, we can help rangers tar­get their routes and pro­vide the best pro­tec­tion for our native wildlife and plants, even when they have a lim­ited budget.”

Dr Wat­son said using maths in this way is smart con­ser­va­tion. “It means we can pro­tect and save more species for the same invest­ment. The same think­ing can be used to tar­get pan­demic issues like ille­gal hunt­ing for the Chi­nese med­i­cine trade, feral ani­mal con­trol, or insect and weed or dis­ease invasions.”

The Wildlife Con­ser­va­tion Soci­ety, Impe­r­ial Col­lege Lon­don and the Uganda Wildlife Author­ity was also involved in the study.



(Source: CEED media release, 25.02.2014)


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