1. Review and assessment of smartphone apps for forest restoration monitoring
- Author
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Schweizer, Daniella, Cole, Rebecca J, Werden, Leland K, Cedeño, Gerald Quirós, Rodriguez, David, Navarro, Kassandra, Esquivel, Jose Marcel, Max, Simeon, Chiriboga, Fidel E, Zahawi, Rakan A, Holl, Karen D, and Crowther, Thomas W
- Subjects
Biological Sciences ,Environmental Sciences ,Bioengineering ,artificial intelligence ,forest restoration ,indicators ,monitoring ,remote sensing ,smartphone apps ,technology ,Ecology ,Biological sciences ,Environmental sciences - Abstract
With increased interest in forest restoration comes an urgent need to provide accurate, scalable, and cost‐effective monitoring tools. The ubiquity of smartphones has led to a surge in monitoring apps. We reviewed and assessed monitoring apps found through web searches and conversations with practitioners. We identified 42 apps that (1) automatically monitor indicators or (2) facilitate data entry. We selected the five most promising from the first category, based on their relevance, availability, stability, and user support. We compared them to traditional field techniques in a well‐studied restoration project in Costa Rica. We received further feedback from 15 collaborator organizations that evaluated these in their corresponding field restoration sites. Diameter measurements correlated well with traditional tape‐based measurements (R2 = 0.86–0.89). Canopy openness and ground cover showed weaker correlations to densiometer and quadrat cover measurements (R2 = 0.42–0.51). Apps did not improve labor efficiency but do preclude the purchase of specialized field equipment. The apps reviewed here need further development and validation to support monitoring adequately, especially in the tropics. Estimates of development and maintenance costs, as well as statistics on user uptake, are required for cost‐effective development. We recommend a coordinated effort to develop dedicated restoration monitoring apps that can speed up and standardize the collection of indicators and provide evidence on restoration outcomes alongside a centralized repository of this information.
- Published
- 2024