Improving the estimation of census population site of protected burrowing rodents by non-invasive proximal sensing

Gedeon, Cs [Gedeon, Csongor (Etológia, ökológia), szerző] Talajtérképezési és Környezetinformatikai Osztály (MTA ATK / TAKI); Kovács, Zsófia Adrienn [Kovács, Zsófia Adrienn (környezettudomány), szerző] Talajtérképezési és Környezetinformatikai Osztály (MTA ATK / TAKI); Mészáros, János [Mészáros, János (Térképészet, geoi...), szerző] Talajtérképezési és Környezetinformatikai Osztály (MTA ATK / TAKI); Árvai, Mátyás [Árvai, Mátyás (Földrajz), szerző] Talajtérképezési és Környezetinformatikai Osztály (MTA ATK / TAKI)

Angol nyelvű Tudományos Nem besorolt (Egyéb)
Megjelent: 2018
Konferencia: Science Technology Innovation Forum 2018-06-04 [New York (NY), Amerikai Egyesült Államok *]
    Azonosítók
    • MTMT: 30642039
    Background: Burrowing by protected, subterranean European ground squirrels or Lesser blind mole-rats increase landscape heterogeneity and improve the availability of resources to other organisms of semi-arid grasslands of Central Europe. They are important in such ecosystem functions as the improvement of soil quality or they are important prey for raptors. Besides people often visit their colonies for outdoor recreation or education. If they vanish the soils’ macrofauna diversity decreases, which is an overall indicator of soil health. Consequently, they are keystone, flagship species of grasslands and their monitoring is recommended. However, colonies go extinct due to land use changes or unknown reasons. Our primary aim is to develop an automated, non-invasive method to detect, count and map animal burrows and estimate population size more accurately. Problem: According to their monitoring actively used burrow entrances are counted per hectare. Then this number is extended to the area occupied by the colony. Two main systematic errors make the population estimation inaccurate and relative. First, it considers the animals’ distribution even on the entire area, second, the estimated ratio of burrow entrances per each individual is inaccurate. Innovation: The method includes detection and counting of burrow entrances and mounds, and then, determining the number of burrow systems per area. Each animal occupies one burrow system. To fulfil our plan we use proximal surface sensing, such as UAV (camera and DGPS): for automatic burrow entrance or mound recognition and counting. We also apply proximal subsurface sensing, such as GPR (DGPS) up to a depth of 1.0 m: for burrow mapping. Finally, the surface and subsurface models of the burrow systems are interconnected visually. Impact: Accurate population estimation would give nature conservationists an early warning system so that they can intervene when colonies begin to decline in time.
    Hivatkozás stílusok: IEEEACMAPAChicagoHarvardCSLMásolásNyomtatás
    2020-11-25 12:51