Orange Emperor (Anax speratus)

View the above photo record (by Kate Braun) in OdonataMAP here.

Find the Orange Emperor in the FBIS database (Freshwater Biodiversity Information System) here.

Family Aeshnidae

Anax speratusORANGE EMPEROR

Identification

Very large

Length up to 84mm; Wingspan attains 122mm.

The combination of their large size and distinctive colouration renders both sexes unmistakable.

Males are entirely bright orange, including the eyes and wing veins. Females are similar but have a pale greenish-orange thorax.

Click here for more details on identification.

Anax speratus – Male
False Bay, iSimangaliso Wetland Park, KwaZulu-Natal
Photo by Ryan Tippett

Habitat

A species of flowing rivers and streams, often in hilly or mountainous areas. Favours stretches of rivers that are interspersed with pools or rapids.

Habitat – Mkuze River, KwaZulu-Natal
Photo by Rowan Poortier

Behaviour

Most often seen in flight as they patrol back and forth along a stretch of river. Flies low over the water occasionally darting to tree-top height to intercept prey. When at rest, hangs vertically from a perch. Frequently preys on other dragonfly species.

Most active from October to April, but possibly on the wing year round at some sites. See Phenology below.

Status and Conservation

Anas speratus is common in the Eastern and Southern Parts of South Africa. It is listed as of Least Concern in the IUCN Red List of Threatened Species.

Distribution

Anax speratus is widespread throughout most of Southern, central and East Africa. In South Africa it is restricted to the higher rainfall regions.

Below is a map showing the distribution of records for Orange Emperor in the OdonataMAP database as at February 2020.

The next map below is an imputed map, produced by an interpolation algorithm, which attempts to generate a full distribution map from the partial information in the map above. This map will be improved by the submission of records to the OdonataMAP section of the Virtual Museum.

Ultimately, we will produce a series of maps for all the odonata species in the region. The current algorithm is a new algorithm. The objective is mainly to produce “smoothed” maps that could go into a field guide for odonata. This basic version of the algorithm (as mapped above) does not make use of “explanatory variables” (e.g. altitude, terrain roughness, presence of freshwater — we will be producing maps that take these variables into account soon). Currently, it only makes use of the OdonataMAP records for the species being mapped, as well as all the other records of all other species. The basic maps are “optimistic” and will generally show ranges to be larger than what they probably are.

These maps use the data in the OdonataMAP section of the Virtual Museum, and also the database assembled by the previous JRS funded project, which was led by Professor Michael Samways and Dr KD Dijkstra.

Phenology

Dragonfly Atlas: Megan Loftie-Eaton, Sally Hofmeyr, Ryan Tippett & Les Underhill
Dragonfly Atlas: Megan Loftie-Eaton, Sally Hofmeyr, Ryan Tippett & Les Underhill
Megan Loftie-Eaton is our communications, social media and citizen science coordinator. Prior to her work for the BDI, she coordinated OdonataMAP, the Atlas of African Odonata. Sally Hofmeyr has many years' experience in the academic world, writing her own material and editing the work of others. Her academic background is in the natural sciences: her PhD and first postdoc in ornithology and environmental change (Animal Demography Unit, University of Cape Town). Ryan Tippett is an enthusiastic contributor to Citizen Science and has added many important and interesting records of fauna and flora. He has been a member of the VMU since 2014 and has currently submitted over 11000 records. He is also on the expert identification panel for the Odonata Map project. Prof Les Underhill has been Director of the Animal Demography Unit (ADU) at the University of Cape Town since it started in 1991. Although citizen science in biology is Les’s passion, his academic background is in mathematical statistics.