COSST: A tool to facilitate seed provenancing for climate‐smart ecosystem restoration

Journal of Applied Ecology, Год журнала: 2025, Номер unknown

Опубликована: Янв. 21, 2025

Abstract Selecting the best seed sources is a key step in ecological restoration planning especially under climate change. Seed‐provenancing strategies include composite, aiming to reproduce natural gene flow; predictive, focusing on future adaptation; and climate‐adjusted, combination of composite predictive. Yet, implementing different seed‐provenancing principles remains challenge. To fill this methodological gap, we developed C limate‐ O riented S eed‐ ourcing T ool (COSST), tool built R capable suggesting priority areas for sourcing according or climate‐adjusted strategies, as well site focal species. The derives its inputs from species distribution models, which require occurrence data only. COSST accommodates multiple climatic variables, weights variables species‐specific sensitivities, accounts uncertainties between forecasts. We demonstrated flexibility using Caryocar brasiliense (pequi), tree native Brazilian Cerrado, case study. identified optimal collecting C. seeds estimated proportion be sourced various suppliers. made available an code running along with Shiny application visualization. Synthesis applications . Our can guide where source lacking range‐wide information genetic structure, substantial tropical flora, ecosystem paramount importance.

Язык: Английский

Predicting the future distribution of the Barbary ground squirrel (Atlantoxerus getulus) under climate change using niche overlap analysis and species distribution modeling

Environmental Monitoring and Assessment, Год журнала: 2024, Номер 196(11)

Опубликована: Окт. 31, 2024

Язык: Английский