Use of seasonal forecasting to manage weather risk in ecological restoration. Issue 7 (19th July 2018)

• Record Type: Journal Article
• Authors: Hagger, Valerie; Dwyer, John; Shoo, Luke; Wilson, Kerrie
• Is Part Of: Ecological applications. Volume 28:Issue 7(2018)
• Page Start: 1797
• Page End: 1807
• Publication Date: 2018-07-19
• Subjects: climate -- decision support tool -- restoration planning -- revegetation -- risk management -- seasonal forecasting -- weather; Ecology -- Periodicals; Environmental protection -- Periodicals; Biology, Economic -- Periodicals; 577.05
• DOI: 10.1002/eap.1769
• Languages: English
• ISSNs: 1051-0761

Abstract

Abstract: Ecological restoration has widely variable outcomes from successes to partial or complete failures, and there are diverse perspectives on the factors that influence the likelihood of success. However, not much is known about how these factors are perceived, and whether people's perceptions match realities. We surveyed 307 people involved in the restoration of native vegetation across Australia to identify their perceptions on the factors influencing the success of restoration projects. We found that weather (particularly drought and flooding) has realized impacts on the success of restoration projects, but is not perceived to be an important risk when planning new projects. This highlights the need for better recognition and management of weather risk in restoration and a potential role of seasonal forecasting. We used restoration case studies across Australia to assess the ability of seasonal forecasts provided by the Predictive Ocean Atmosphere Model for Australia, version M24 (POAMA‐2) to detect unfavorable weather with sufficient skill and lead time to be useful for restoration projects. We found that rainfall and temperature variables in POAMA‐2 predicted 88% of the weather issues encountered in restoration case studies apart from strong winds and cyclones. Of those restoration case studies with predictable weather issues, POAMA‐2 had the forecast skill to predict the dominant or first‐encountered issue in 67% of cases. We explored the challenges associated with uptake of forecast products through consultation with restoration practitioners and developed a prototype forecast product using a local case study. Integrating seasonal forecasting into decision making through (1) identifying risk management strategies during restoration planning, (2) accessing the forecast a month prior to revegetation activities, and (3) adapting decisions if extreme weather is forecasted, is expected to improve the establishment success of restoration.