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Evaluating success of various restorative interventions through drone‐ and field‐collected data,using six putative framework species in Argentinian Patagonia
Authors:Daniel R Prez  Claudio Pilustrelli  Fernando M Farinaccio  Guillermo Sabino  James Aronson
Institution:Daniel R. Pérez,Claudio Pilustrelli,Fernando M. Farinaccio,Guillermo Sabino,James Aronson
Abstract:Field data and unmanned aerial vehicles, also known as drones, were used to analyze a long‐term experiment in a severely degraded area of the “Monte,” one of the most arid and degraded biomes in Argentina. Field methods and drone orthoimages obtained from flights of a quadcopter at 20 and 40 m were used to compare plantation plots versus natural recovery on scarified sites, and the field performance of six putative framework species under four different treatments was evaluated. After 5 years of recovery in soils with almost no organic matter and mean annual rainfall averaging 145 mm, plantation plots had high survival rates (>65%) for all species as determined through both field survey and drone imagery. Three species were planted with a greater number of seedlings due to their availability in nurseries. For these species experimental treatments were studied statistically. Independently of treatment applied (control; 1/2 L hydrogel; 1 L hydrogel; 1 L of hydrogel + 1/2 kg of organic compost), highest survival rates were found for P. flexuosa var. depressa (88% ± 14.8) and A. lampa (84% ± 14.8). Drone images and field data both showed that these two putative framework species had the highest plant cover. In sharp contrast, mechanical scarification without planting or other treatments induced very low recovery (<2%). We demonstrate that drone imagery provides a new and very valuable tool for evaluating and monitoring restorative interventions in drylands.
Keywords:drone imagery  drylands framework species  outplanting  multispectral images  scarification
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