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Gendered Species Preferences Link Tree Diversity and Carbon Stocks in Cacao Agroforest in Southeast Sulawesi, Indonesia

Author

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  • Rika Ratna Sari

    (Soil Science Department, Faculty of Agriculture, Universitas Brawijaya, Malang 65145, Indonesia
    Plant Production Systems Group, Wageningen University and Research, 6708 PB Wageningen, The Netherlands)

  • Danny Dwi Saputra

    (Soil Science Department, Faculty of Agriculture, Universitas Brawijaya, Malang 65145, Indonesia
    Plant Production Systems Group, Wageningen University and Research, 6708 PB Wageningen, The Netherlands)

  • Kurniatun Hairiah

    (Soil Science Department, Faculty of Agriculture, Universitas Brawijaya, Malang 65145, Indonesia)

  • Danaë M. A. Rozendaal

    (Plant Production Systems Group, Wageningen University and Research, 6708 PB Wageningen, The Netherlands
    Centre for Crop Systems Analysis, Wageningen University and Research, 6708 PB Wageningen, The Netherlands)

  • James M. Roshetko

    (World Agroforestry Centre, ICRAF Southeast Asia, Bogor 16001, Indonesia)

  • Meine van Noordwijk

    (Plant Production Systems Group, Wageningen University and Research, 6708 PB Wageningen, The Netherlands
    World Agroforestry Centre, ICRAF Southeast Asia, Bogor 16001, Indonesia)

Abstract

The degree to which the maintenance of carbon (C) stocks and tree diversity can be jointly achieved in production landscapes is debated. C stocks in forests are decreased by logging before tree diversity is affected, while C stocks in monoculture tree plantations increase, but diversity does not. Agroforestry can break this hysteresis pattern, relevant for policies in search of synergy. We compared total C stocks and tree diversity among degraded forest, complex cacao/fruit tree agroforests, simple shade-tree cacao agroforestry, monoculture cacao, and annual crops in the Konawe District, Southeast Sulawesi, Indonesia. We evaluated farmer tree preferences and the utility value of the system for 40 farmers (male and female). The highest tree diversity (Shannon–Wiener H index 2.36) and C stocks (282 Mg C ha −1 ) were found in degraded forest, followed by cacao-based agroforestry systems (H index ranged from 0.58–0.93 with C stocks of 75–89 Mg ha −1 ). Male farmers selected timber and fruit tree species with economic benefits as shade trees, while female farmers preferred production for household needs (fruit trees and vegetables). Carbon stocks and tree diversity were positively related ( R 2 = 0.72). Adding data from across Indonesia ( n = 102), agroforestry systems had an intermediate position between forest decline and reforestation responses. Maintaining agroforestry in the landscape allows aboveground C stocks up to 50 Mg ha −1 and reduces biodiversity loss. Agroforestry facilitates climate change mitigation and biodiversity goals to be addressed simultaneously in sustainable production landscapes.

Suggested Citation

  • Rika Ratna Sari & Danny Dwi Saputra & Kurniatun Hairiah & Danaë M. A. Rozendaal & James M. Roshetko & Meine van Noordwijk, 2020. "Gendered Species Preferences Link Tree Diversity and Carbon Stocks in Cacao Agroforest in Southeast Sulawesi, Indonesia," Land, MDPI, vol. 9(4), pages 1-15, April.
  • Handle: RePEc:gam:jlands:v:9:y:2020:i:4:p:108-:d:341243
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    References listed on IDEAS

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    Cited by:

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    4. Rachmat Mulia & Duong Dinh Nguyen & Mai Phuong Nguyen & Peter Steward & Van Thanh Pham & Hoang Anh Le & Todd Rosenstock & Elisabeth Simelton, 2020. "Enhancing Vietnam’s Nationally Determined Contribution with Mitigation Targets for Agroforestry: A Technical and Economic Estimate," Land, MDPI, vol. 9(12), pages 1-24, December.
    5. Meine van Noordwijk & Richard Coe & Fergus L. Sinclair & Eike Luedeling & Jules Bayala & Catherine W. Muthuri & Peter Cooper & Roeland Kindt & Lalisa Duguma & Christine Lamanna & Peter A. Minang, 2021. "Climate change adaptation in and through agroforestry: four decades of research initiated by Peter Huxley," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 26(5), pages 1-33, June.
    6. Sikstus Gusli & Sri Sumeni & Riyami Sabodin & Ikram Hadi Muqfi & Mustakim Nur & Kurniatun Hairiah & Daniel Useng & Meine van Noordwijk, 2020. "Soil Organic Matter, Mitigation of and Adaptation to Climate Change in Cocoa–Based Agroforestry Systems," Land, MDPI, vol. 9(9), pages 1-18, September.
    7. Labeyrie, Vanesse & Friedman, Rachel S. & Donnet, Sophie & Faye, Ndeye Fatou & Cobelli, Océane & Baggio, Jacopo & Felipe-Lucia, María R. & Raimond, Christine, 2023. "Linking seed networks and crop diversity contributions to people: A case study in small-scale farming systems in Sahelian Senegal," Agricultural Systems, Elsevier, vol. 211(C).
    8. Beatrice Nöldeke & Etti Winter & Yves Laumonier & Trifosa Simamora, 2021. "Simulating Agroforestry Adoption in Rural Indonesia: The Potential of Trees on Farms for Livelihoods and Environment," Land, MDPI, vol. 10(4), pages 1-31, April.
    9. Meine van Noordwijk, 2021. "Agroforestry-Based Ecosystem Services," Land, MDPI, vol. 10(8), pages 1-8, July.
    10. Sari, Rika Ratna & Tanika, Lisa & Speelman, Erika N. & Saputra, Danny Dwi & Hakim, Arief Lukman & Rozendaal, Danaë M.A. & Hairiah, Kurniatun & van Noordwijk, Meine, 2024. "Farmer Options and Risks in Complex Ecological-Social systems: The FORCES game designed for agroforestry management of upper watersheds," Agricultural Systems, Elsevier, vol. 213(C).
    11. Meine van Noordwijk, 2021. "Agroforestry-Based Ecosystem Services: Reconciling Values of Humans and Nature in Sustainable Development," Land, MDPI, vol. 10(7), pages 1-24, July.
    12. Saputra, Danny Dwi & Khasanah, Ni'matul & Sari, Rika Ratna & van Noordwijk, Meine, 2024. "Avoidance of tree-site mismatching of modelled cacao production systems across climatic zones: Roots for multifunctionality," Agricultural Systems, Elsevier, vol. 216(C).
    13. Karime Montes-Escobar & Javier De la Hoz-M & Mónica Daniela Barreiro-Linzán & Carolina Fonseca-Restrepo & Miguel Ángel Lapo-Palacios & Douglas Andrés Verduga-Alcívar & Carlos Alfredo Salas-Macias, 2023. "Trends in Agroforestry Research from 1993 to 2022: A Topic Model Using Latent Dirichlet Allocation and HJ-Biplot," Mathematics, MDPI, vol. 11(10), pages 1-15, May.

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