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Fig. 3 in Distributional Range Extension of the Shallow Water Scorpionfish Parascorpaena poseidon (Perciformes: Scorpaenidae), with a Revised Diagnosis of the Species

Fig. 3. Lateral (A) and dorsal (B) views of head of Parascorpaena poseidon (NSMT-P 17865, 97.8 mm SL). Bars indicate 5 mm.

Fig. 4 in Distributional Range Extension of the Shallow Water Scorpionfish Parascorpaena poseidon (Perciformes: Scorpaenidae), with a Revised Diagnosis of the Species

Fig. 4. Relationships between body width (A); head width (B); snout length (C); interorbital width at vertical midline of eye (D); upper-jaw length (E); maxilla depth (F); postorbital length (G); orbit diameter (H); and separation between opercular spine tips (I) (all as % of SL) and standard length (mm) in Parascorpaena poseidon, showing ontogenetic changes. Star indicates holotype [except for snout length, interorbital width at vertical midline of eye, and upper-jaw length—see text regarding measurements by Chou and Liao (2022)].

Fig. 2 in Distributional Range Extension of the Shallow Water Scorpionfish Parascorpaena poseidon (Perciformes: Scorpaenidae), with a Revised Diagnosis of the Species

Fig. 2. Variously-sized preserved specimens of Parascorpaena poseidon. A, FMNH 75818, 1 of 27 specimens, 35.3 mm SL, Galle, Sri Lanka; B, FMNH 75818, 1 of 27 specimens, 65.3 mm SL, Galle, Sri Lanka; C, NSMT-P 17865, 97.8 mm SL, Yaku-shima Island, Osumi Islands, Kagoshima, Japan; D, BPBM 27680, 1 of 2 specimens, 115.4 mm SL, Kovalam, Kerala India.

Fig. 1 in Distributional Range Extension of the Shallow Water Scorpionfish Parascorpaena poseidon (Perciformes: Scorpaenidae), with a Revised Diagnosis of the Species

Fig. 1. Fresh specimen of Parascorpaena poseidon from Kovalam, Kerala, India (BPBM 27680, 1 of 2 specimens, 115.4 mm SL). Photo by J. E. Randall (BPBM).

Fig. 5 in Distributional Range Extension of the Shallow Water Scorpionfish Parascorpaena poseidon (Perciformes: Scorpaenidae), with a Revised Diagnosis of the Species

Fig. 5. Distributional records of Parascorpaena poseidon, based on original description (triangles and star), literature record as P. mossambica (closed circle), and present study (open circles). Star indicates type locality.

Fig. 6 in New data on distribution of Miramiola pusilla (Miram, 1927) (Orthoptera: Tettigoniidae

Fig. 6. Predicted probabilities of suitable conditions for Miramiola pusilla according the Maxent model for 2041–2060 (all distribution data and bioclimatic variables; point-wise

Fig. 3 in New data on distribution of Miramiola pusilla (Miram, 1927) (Orthoptera: Tettigoniidae

Fig. 3. Predicted probabilities of suitable conditions for Miramiola pusilla according the Maxent model (all distribution data and bioclimatic variables for 1970–2000; point-wise

Fig. 5 in New data on distribution of Miramiola pusilla (Miram, 1927) (Orthoptera: Tettigoniidae

Fig. 5. Predicted probabilities of suitable conditions for Miramiola pusilla according the Maxent model for 2021–2040 (all distribution data and bioclimatic variables; point-wise

The Adult Adansonia digitata L. (baobab tree) distribution map derived from very high resolution satelite imagery for 2010s across the Sahel at 1km resolution

The baobab tree (Adansonia digitata L.) is an integral part of rural livelihoods throughout the African continent. However, the combined effects of climate change and increasing global demand for baobab products are currently exerting pressure on the sustainable utilization of these resources. Here we employ sub-meter resolution satellite imagery to identify nearly 3 million baobab trees in the Sahel, a dryland region of 1.5 million km2. This achievement is considered an essential step towards improving valuable woody species' management and monitoring system. The map's overall underestimate bias is 0.27. To prevent mismanagement of this specific tree species, we aggregated every single adult baobab tree map to 1 × 1 km grids. We also classified the baobab trees using the tree crown diameters( small: 3-9m; medium 9m-13m; large: >13m).  The baobab tree count map is also available for these three different size classes.

F I G U R E 6 in Current and future potential geographical distribution of Bactericera cockerelli: an invasive pest of increasing global importance

F I G U R E 6 Predicted future climatic suitability for tomato potato psyllid (TPP; Bactericera cockerelli) in (a) its native range in North America, and (b) its invasive regions in Australia under a future climate change scenario predicted to the year 2090 in CLIMEX using the general circular model (GCM) CSIRO Mark 3.0, run with the A1B emissions scenario the known global distributions denoted by green colour dots.

F I G U R E 5 in Current and future potential geographical distribution of Bactericera cockerelli: an invasive pest of increasing global importance

F I G U R E 5 Predicted global climatic suitability for tomato potato psyllid (TPP; Bactericera cockerelli) under a future climate change scenario predicted to the year 2090 in CLIMEX using the general circular model (GCM) CSIRO Mark 3.0, run with the A1B emissions scenario.

F I G U R E 2 in Current and future potential geographical distribution of Bactericera cockerelli: an invasive pest of increasing global importance

F I G U R E 2 Predicted global climatic suitability for tomato potato psyllid (TPP; Bactericera cockerelli) under current climatic conditions in its native region in North America. The known global distributions are denoted by green colour dots.

F I G U R E 4 in Current and future potential geographical distribution of Bactericera cockerelli: an invasive pest of increasing global importance

F I G U R E 4 Predicted climatic suitability for tomato potato psyllid (TPP; Bactericera cockerelli) under current climatic conditions in New Zealand under current climatic conditions. The known global distributions are denoted by green colour dots.

F I G U R E 1 in Current and future potential geographical distribution of Bactericera cockerelli: an invasive pest of increasing global importance

F I G U R E 1 Predicted global climatic suitability (ecoclimatic index) for tomato potato psyllid (TPP; Bactericera cockerelli under current climatic conditions using the adjusted parameters given in Table 1 under (a) natural rainfall and (b) as composite of natural rainfall and irrigation based on areas identified by Siebert et al. (2013). The known global distributions are denoted by green colour dots.

F I G U R E 3 in Current and future potential geographical distribution of Bactericera cockerelli: an invasive pest of increasing global importance

F I G U R E 3 Predicted climatic suitability for tomato potato psyllid (TPP; Bactericera cockerelli) under current climatic conditions in Australia current climatic conditions. The known global distributions are denoted by green colour dots.

F I G U R E 7 in Current and future potential geographical distribution of Bactericera cockerelli: an invasive pest of increasing global importance

F I G U R E 7 Predicted future climatic suitability for tomato potato psyllid (TPP; Bactericera cockerelli) in New Zealand under a future climate change scenario predicted to the year 2090 in CLIMEX using the general circular model (GCM) CSIRO Mark 3.0, run with the A1B emissions scenario. The known global distributions denoted by green colour dots.

Fig. 4 in New data on distribution of Miramiola pusilla (Miram, 1927) (Orthoptera: Tettigoniidae

Fig. 4. Reliability test for the Miramiola pusilla. Maxent distribution model (bioclimatic variables for 1970–2000; 25 replicates with cross-validation).

Fig. 3 in New data on distribution of Miramiola pusilla (Miram, 1927) (Orthoptera: Tettigoniidae

Fig. 3. Predicted probabilities of suitable conditions for Miramiola pusilla according the Maxent model (all distribution data and bioclimatic variables for 1970–2000; point-wise mean for 25 replicates).

Fig. 6 in New data on distribution of Miramiola pusilla (Miram, 1927) (Orthoptera: Tettigoniidae

Fig. 6. Predicted probabilities of suitable conditions for Miramiola pusilla according the Maxent model for 2041–2060 (all distribution data and bioclimatic variables; point-wise mean for 25 replicates; CNRM-ESM2-1 (Séférian et al., 2019) climatic model for 3-7.0 Shared Socioeconomic Pathway (Meinshausen et al., 2020).

Fig. 5 in New data on distribution of Miramiola pusilla (Miram, 1927) (Orthoptera: Tettigoniidae

Fig. 5. Predicted probabilities of suitable conditions for Miramiola pusilla according the Maxent model for 2021–2040 (all distribution data and bioclimatic variables; point-wise mean for 25 replicates; CNRM-ESM2-1 (Séférian et al., 2019) climatic model for 3-7.0 Shared Socioeconomic Pathway (Meinshausen et al., 2020).