Assessing scale-dependency of climate risks in coffee-based agroforestry systems
Article
Byrareddy, Vivekananda M., Kath, Jarrod, Kouadio, Louis, Mushtaq, Shahbaz and Geethalakshmi, Vellingiri. 2024. "Assessing scale-dependency of climate risks in coffee-based agroforestry systems." Scientific Reports. 14 (1). https://doi.org/10.1038/s41598-024-58790-5
Article Title | Assessing scale-dependency of climate risks in coffee-based agroforestry systems |
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ERA Journal ID | 201487 |
Article Category | Article |
Authors | Byrareddy, Vivekananda M., Kath, Jarrod, Kouadio, Louis, Mushtaq, Shahbaz and Geethalakshmi, Vellingiri |
Journal Title | Scientific Reports |
Journal Citation | 14 (1) |
Article Number | 8028 |
Number of Pages | 11 |
Year | 2024 |
Publisher | Nature Publishing Group |
Place of Publication | United Kingdom |
ISSN | 2045-2322 |
Digital Object Identifier (DOI) | https://doi.org/10.1038/s41598-024-58790-5 |
Web Address (URL) | https://www.nature.com/articles/s41598-024-58790-5 |
Abstract | Agroforestry is a management strategy for mitigating the negative impacts of climate and adapting to sustainable farming systems. The successful implementation of agroforestry strategies requires that climate risks are appropriately assessed. The spatial scale, a critical determinant influencing climate impact assessments and, subsequently, agroforestry strategies, has been an overlooked dimension in the literature. In this study, climate risk impacts on robusta coffee production were investigated at different spatial scales in coffee-based agroforestry systems across India. Data from 314 coffee farms distributed across the districts of Chikmagalur and Coorg (Karnataka state) and Wayanad (Kerala state) were collected during the 2015/2016 to 2017/2018 coffee seasons and were used to quantify the key climate drivers of coffee yield. Projected climate data for two scenarios of change in global climate corresponding to (1) current baseline conditions (1985–2015) and (2) global mean temperatures 2 °C above preindustrial levels were then used to assess impacts on robusta coffee yield. Results indicated that at the district scale rainfall variability predominantly constrained coffee productivity, while at a broader regional scale, maximum temperature was the most important factor. Under a 2 °C global warming scenario relative to the baseline (1985–2015) climatic conditions, the changes in coffee yield exhibited spatial-scale dependent disparities. Whilst modest increases in yield (up to 5%) were projected from district-scale models, at the regional scale, reductions in coffee yield by 10–20% on average were found. These divergent impacts of climate risks underscore the imperative for coffee-based agroforestry systems to develop strategies that operate effectively at various scales to ensure better resilience to the changing climate. |
Keywords | Adaptive management; Agroforestry; Coffea canephora; Climate variability; Climate change |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 300205. Agricultural production systems simulation |
Byline Affiliations | Centre for Applied Climate Sciences |
Institute for Life Sciences and the Environment | |
School of Agriculture and Environmental Science | |
Tamil Nadu Agricultural University, India |
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https://research.usq.edu.au/item/z847y/assessing-scale-dependency-of-climate-risks-in-coffee-based-agroforestry-systems
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