Characterizing the plant functional traits of coffee agroecosystems in Indonesia

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Authors: Tin Widyani Satriawan, Xiangzhong Luo, Liyao Yu, Shafira Nur Ramdhania, Luri Nurlaila Syahid, Meine van Noordwijk, Kurniatun Hairiah, Rika Ratna Sari, Endah Sulistyawati, Massimo Lupascu, Noviana Budianti
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References: 73

Abstract

Indonesia, the world’s third-largest coffee producer, is rapidly expanding coffee agroecosystems, often at the expense of deforestation. Understanding the ecophysiology of coffee agroecosystems is thus critical for assessing their impacts on the regional carbon cycle. However, current knowledge of coffee ecophysiology is largely derived from studies in Central and South America and equatorial Africa, with few observations from Indonesia despite its distinct climatic context and large area. In this study, we measured plant functional traits (i.e., leaf structural, physiological, and chemical traits) of coffee plants at four distinct sites in Java, Indonesia, to assess the spatio-temporal variations of coffee leaf traits along with their relationship with shade and reproductive output. We found that physiological traits showed the largest within-site variation, while structural traits varied most strongly among sites. Across seasons, photosynthetic traits (i.e., light-saturated photosynthetic rate A max and maximum carboxylation rate V cmax ) exhibited pronounced seasonality at a robusta ( C. canephora ) coffee site, whereas arabica coffee ( C. arabica ) and hybrid ( C. arabica x C. canephora ) sites showed greater seasonal shifts in structural traits. We also found that denser shade promoted resource-acquisitive strategies (higher photosynthetic capacity, lower leaf mass per area), but this did not translate into greater fruit production. Our study provides one of the first field-based assessments of the ecophysiology of coffee agroecosystems in Indonesia, which will advance our understanding of coffee expansion on the regional carbon cycle.

Fields of Study & Subjects

Plant Water Relations and Carbon Dynamics Ecology and Vegetation Dynamics Studies Remote Sensing in Agriculture

Publication details

Journal / source
Frontiers in Plant Science
Volume
16
Pages
1743035–1743035
Publication date
19 January 2026
Language
EN