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It is possible that we might have greatly underestimated the recorded levels of fire in the Mafic Forest during the 2009–2010 dry year. Our expectation was that the system would be more severe than during the 2010 wet year, when temperatures were generally warmer and total area burned was estimated at 61,000 ha (Burgman et al. 2011). But the 2009–2010 dry year was exceptional, and estimates of the burned area are likely to be over-inflated. On the basis of the correspondence between the regional climate models (Burgman et al. 2013) and the observed fire behavior, and analysis of the July–August 2010 fire season in the Mafic Forest, Burgman et al. (2011) estimated that it burned an area of ~59,000 ha. If this estimate were over-inflated by 40%, our conclusion that 2010 was the greatest fire season since 2000 would still be valid.

The returned scores range from 0–6, with 0 indicating the animal does not need tracking at all and 6 indicating tracking is not possible because of the animal’s behavior. The lower the score, the higher the likelihood that the animal will not need to be tracked. An updated burgman 125 reports, which was made available over the summer of 2013, provided some additional information to assess the degree to which lemurs would present a management challenge ( https://www.burgmanclass.org/the-burgman-125-report).

Step 6. Assess the recommendations made (Box 1, step 3). This document should contain the assessment of the feasibility of eradication strategies outlined in Box 1, step 2, together with recommendations for the management of the species in the area. Although several years have passed since original assessment of the feasibility of the eradication techniques (i.e. the assessment in step 5), the recommendations provided should still remain current. Complete cessation of management activities is not justified as long as small numbers of lemurs persist, and therefore permanent reintroduction/recovery of the population is necessary to ensure successful eradication. In many circumstances, however, this may be undesirable in terms of maintaining the (largely) wild populations of the species elsewhere, and therefore may need to be carried out under certain conditions (Box 3, step 1).

The required facial images are available for most lemur species. In addition to a consistent photograph capture of all lemurs, the technique requires the collection of a photograph of an individual lemur when it is a juvenile (youth), sub-adult (young adult) or adult (adult) in captivity (a “boiled-frog” approach). Data collection was possible in our study because of our facility’s proximity to a local orphanage and a naturalists’ organization, both of which maintain in-house lemur colonies (Fig. 2).
We suggest that the LemurFaceID technique be tested on lemur species with known individual data including: (1) lemur species with viable breeding programs [ 43 ], (2) lemur species that are susceptible to mortal threat from inbreeding depression [ 44 ] and/or (3) those lemur species that may undergo rapid evolution (and resultant increased rates of inbreeding) due to a decoupling of population demography from gene flow [ 45 ]. We hope that the LemurFaceID technique will allow researchers to identify individual lemurs, which is an essential component to long-term research and conservation of species.
Gleason J.L., Sutherland J.E., Burgman J.H.S., and Li C. (2016). A new approach to assess water quality in a Great Basin Desert riparian ecosystem using model validation. Water Quality Research, 51, 357-366.
Owen-Smith B., Burgman J.H.S., and Sutherland J.E. (2017). Deposition of Endothallus Pteryx semiovata in arid and semi-arid landscapes. Divers Conservation, 33, 89-95.