112 L. D. Martin et al.
TABLE 1 Summary of transects surveyed, including predominant habitat type, whether the transect was within the boundaries of Lokobe National Park (Nosy Be, north-western Madagascar; Fig. 1), transect length, number of times the transect was surveyed, total survey effort (L), total number of Microcebus mamiratra detected (n) and encounter rate (n/L).
Transect ID
T1 T2 T3 T4 T5 T6 T7 T8
T91 T10 T11
T12 T13 T14 T15 T16
Total 1Not surveyed after placement because of safety concerns. Predominant habitat type
Secondary/degraded forest and plantation Secondary/degraded forest and plantation Plantation Plantation
Secondary/degraded forest and plantation Secondary/degraded forest and plantation Secondary/degraded forest and plantation Secondary/degraded forest Secondary/degraded forest
Secondary/degraded forest and plantation
Primary forest, secondary/degraded forest and plantation
Within Lokobe National Park boundaries?
No No No No No No No No No No No
Primary forest and secondary/degraded forest Yes Primary forest Primary forest
Yes No
Primary forest and secondary/degraded forest No Secondary/degraded forest and plantation
No
Length (m)
961 773 855 845 792 805 925 775
1,125 717
633 684 838 713
Number of times surveyed
2 5 3 2 5 5 4 4
780 NA 812
5 4
3 3 3 5 4
L (km) nn/L 1.92
3.87 2.57 1.69 3.96 4.03 3.70 3.10
0 0.00 26 6.73 3 1.17 0 0.00 3 0.76 19 4.72 17 4.59 0 0.00
NA NA NA 4.06 4.50
2.15 1.90 2.05 4.19 2.85
46.53
1 0.25 7 1.56
3 1.39 2 1.05 3 1.46 7 1.67 1 0.35 92 1.98
behaviour (Dausmann & Warnecke, 2016), hence there should be no torpor-related availability bias (Hending et al., 2023).
Data analysis: distance software
We used theconventionaldistancesamplingenginein Distance to estimate M. mamiratra density and abundance. We pooled individual surveys and detections for each transect line, and recorded effort as line length multiplied by the num- ber of times the line was surveyed (Buckland et al., 2008).We plotted histograms of the perpendicular distances as part of an exploratory data analysis phase. We then grouped distance data into suitable distance cut points for analysis and right- truncated 10% to remove outliers and facilitate modelling (Buckland et al., 2001;Thomasetal., 2010). We then fitted the following model and adjustment combinations: uniform key function with cosine series expansion, half-normal key function with cosine and Hermite polynomial series expan- sion, and hazard-rate key function with simple polynomial series expansion. We visually assessed the candidate models andcomparedthemusing χ2 goodness-of-fit tests and the Akaike information criterion (Akaike, 1973).
Analysis of habitat on Nosy Be
The geographical range maps in the IUCN Red Lists are minimum convex polygons of the extent of occurrence of
a species and not necessarily its area of occupancy, and as a result could include areas of unsuitable habitat (e.g. non- forest, villages; Schwitzer et al., 2014). We therefore esti- mated forest cover within the extent of occurrence of M. ma- miratra on Nosy Be using Global ForestWatch (2023), and we used this forested area as a proxy for suitable mouse lemur habitat in our abundance extrapolation. Forest cover was calculated as the tree cover extent in 2000 (.30% canopy density; Hansen et al., 2013; see also Estrada et al., 2018; Mekonnen et al., 2020; Markolf et al., 2022) within the range data shapefile obtained from the IUCN Red List (Blanco et al., 2020) plus or minus net tree cover change during 2000–2022 (Potapov et al., 2022).
Results
We recorded 92 M. mamiratra detections in a total survey effort of 46.5 km (Table 1). This exceeds the recommended minimum sample size of 60–80 detections (Buckland et al., 2001).
Since 2000,c. 14.5 km2 (28%) of forest cover has been
lost within the range of M. mamiratra on Nosy Be. We estimate that 37.3 km2 of forest cover remains, an area similar to the maximum area of occupancy of the species on the island. Our distance analyses generated amean density estimate
of 125.1 individuals/km2 (95%CI 65.3–239.5, coefficient of variation 0.32). The half-normal key function with cosine
Oryx, 2025, 59(1), 109–118 © The Author(s), 2025. Published by Cambridge University Press on behalf of Fauna & Flora International doi:10.1017/S0030605324000772
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70 |
Page 71 |
Page 72 |
Page 73 |
Page 74 |
Page 75 |
Page 76 |
Page 77 |
Page 78 |
Page 79 |
Page 80 |
Page 81 |
Page 82 |
Page 83 |
Page 84 |
Page 85 |
Page 86 |
Page 87 |
Page 88 |
Page 89 |
Page 90 |
Page 91 |
Page 92 |
Page 93 |
Page 94 |
Page 95 |
Page 96 |
Page 97 |
Page 98 |
Page 99 |
Page 100 |
Page 101 |
Page 102 |
Page 103 |
Page 104 |
Page 105 |
Page 106 |
Page 107 |
Page 108 |
Page 109 |
Page 110 |
Page 111 |
Page 112 |
Page 113 |
Page 114 |
Page 115 |
Page 116 |
Page 117 |
Page 118 |
Page 119 |
Page 120 |
Page 121 |
Page 122 |
Page 123 |
Page 124 |
Page 125 |
Page 126 |
Page 127 |
Page 128 |
Page 129 |
Page 130 |
Page 131 |
Page 132 |
Page 133 |
Page 134 |
Page 135 |
Page 136 |
Page 137 |
Page 138 |
Page 139 |
Page 140