Restoration and Resilience in Tropical Drylands

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Tropical Dry Landscape, Los Santos, Panama

Photo Credit: Pervez Manan

Strategies and Technical Pathways for Tropical Dryland Ecosystem and Landscape Restoration
Sunday, March 29, 2026
Pervez Manan, TRL Fellow, Environmental Leadership & Training Initiative

Drylands cover nearly half of the Earth’s land surface and support significant biodiversity and ecosystem services, yet they are increasingly degraded by human activities and climate change (Perotto-Baldivieso et al., 2025). Restoration in tropical dry forests differs fundamentally from humid tropical systems due to interacting climatic, ecological, and socio-economic constraints. Prolonged dry seasons and high rainfall variability limit seedling establishment and slow recovery, while historical degradation reduces soil fertility and natural regeneration potential. Ecological processes such as succession and species recruitment are therefore highly sensitive to local site conditions. In addition, these landscapes are often fragmented and embedded within human-dominated systems, requiring restoration strategies that integrate ecological goals with livelihood needs and adopt context-specific, adaptive approaches (ELTI, 2019).
Ecological syntheses highlight that many dry forest species regenerate through resprouting, coppicing, and seasonally timed germination, suggesting that assisted natural regeneration often represents a technically appropriate starting point for restoration interventions (Vieira & Scariot, 2006; Lebrija Trejos et al., 2008). Across multiple studies, grazing exclusion, fire management, and the protection of remnant vegetation are identified as key interventions that can restore natural ecological processes and enable recovery without intensive planting. Evidence from farmer-managed natural regeneration initiatives further demonstrates how restoration techniques can operate within agricultural landscapes. Selective stem protection and pruning have been shown to enhance woody cover, soil conditions, and livelihood outcomes while minimizing external inputs (Weston et al., 2015). Complementary economic analyses indicate that passive or assisted regeneration frequently delivers substantial ecosystem service benefits relative to cost, reinforcing the argument that restoration planning should prioritize landscape assessment before implementing large-scale planting programs (Birch et al., 2010). At the same time, research on seed banks and fragmented landscapes suggests that natural regeneration may be constrained where seed sources have been lost, highlighting the need for targeted technical interventions in heavily degraded systems (Skoglund, 1992; Griscom et al., 2011).
Within this context, the framework species (indigenous forest tree species, planted to complement and accelerate natural regeneration of forest ecosystems and encourage biodiversity recovery, on degraded sites (Elliott S. et al., 2003)) method has been described as a catalytic planting strategy rather than a comprehensive reforestation approach. Studies on propagation and germination ecology demonstrate that planting a limited set of fast-establishing native species can initiate canopy development, reduce grass competition, and facilitate subsequent natural succession (Blakesley et al., 2002). Reviews of restoration processes in dry forests similarly describe enrichment planting and underplanting beneath pioneer species as techniques capable of increasing structural diversity where natural recruitment is insufficient (Griscom & Ashton, 2011). Research on silvicultural design further supports the use of diversified planting strategies. Comparative studies of plantation systems indicate that mixed native species plantings may enhance resilience and ecosystem service provision relative to monocultures (Piotto et al., 2004). Functional trait analyses identify nitrogen-fixing species and trees with efficient water use as particularly suitable for degraded dryland environments, providing technical guidance for species selection under conditions of drought and nutrient limitation (Craven et al., 2007). Such findings reinforce the importance of aligning restoration design with site-specific environmental stressors.
Landscape-scale perspectives presented in the literature emphasize the role of remnant trees, riparian corridors, and fragmented forest patches as sources of propagules and in moderating microclimate. Studies from Panama demonstrate that retaining structural legacies within degraded pastures can facilitate natural regeneration and reduce the need for intensive interventions (Griscom et al., 2011). These findings suggest that restoration outcomes are shaped not only by local planting techniques but also by broader landscape configuration and connectivity.
The social and governance dimensions of restoration are also consistently highlighted across studies. Participatory research illustrates that integrating local ecological knowledge into species selection can enhance both ecological relevance and community acceptance of restoration initiatives (Suárez et al., 2012). Investigations of dry forest restoration in Madagascar further demonstrate that tenure systems and livestock management practices influence the feasibility and long-term sustainability of restoration interventions (Randrianasolo et al., 2022). Community-based projects in Panama provide additional examples of how technical training, native species nurseries, and agroforestry integration can support restoration outcomes while generating local economic benefits (Chízmar et al., 2015).
Recent advances in spatial vulnerability mapping strengthen restoration planning by identifying areas exposed to fire, overgrazing, and land conversion, allowing targeted interventions aligned with climate adaptation goals (Fremout et al., 2020). However, monitoring in drylands still relies heavily on vegetation indices such as NDVI, which often fail to capture key features like senescent cover. A shift toward assessing “ecological integrity,” supported by fractional vegetation cover and time-series analyses, offers a more accurate framework (Sutton et al., 2026). Complementing this, satellite and drone-based remote sensing improves the quantification of vegetation recovery and informs restoration strategies (Perotto-Baldivieso et al., 2025). Emerging approaches, such as SAR-optical data fusion using algorithms like Y-Net, further enhance the precision of tropical dry forest mapping, supporting species selection and restoration design (González-Vélez et al., 2026).
Across the literature, restoration is therefore presented not as a single method, but as a continuum of strategies ranging from assisted natural regeneration to targeted planting and landscape-level governance. Together, the body of research suggests that effective restoration of tropical dryland ecosystems relies on integrating ecological processes, silvicultural design, participatory governance, and spatial planning tools. Rather than emphasizing tree planting alone, the literature describes restoration as a process of reactivating ecosystem function through context-specific technical approaches that reflect both environmental constraints and socio-ecological realities.

Featured Articles

Birch, J. C., Newton, A. C., Alvarez Aquino, C., Cantarello, E., Echeverría, C., Kitzberger, T., Schiappacasse, I., & Tejedor Garavito, N. (2010). Cost-effectiveness of dryland forest restoration evaluated by spatial analysis of ecosystem services. Proceedings of the National Academy of Sciences, 107(50), 21925 to 21930.

Blakesley, D., Elliott, S., Kuarak, C., Navakitbumrung, P., Zangkum, S., & Anusarnsunthorn, V. (2002). Propagating framework tree species to restore seasonally dry tropical forest: Implications of seasonal seed dispersal and dormancy. Forest Ecology and Management, 164, 31 to 38.

Chízmar, C., De Gracia, J., & Hoyos, M. (2015). Reforestation with native species in the dry lands of Panama (Final report). Conservation Leadership Programme.

Craven, D., Braden, D., Ashton, M. S., Berlyn, G. P., Wishnie, M., & Dent, D. (2007). Between- and within-site comparisons of structural and physiological characteristics and foliar nutrient content of tree species at wet and dry sites in Panama. Forest Ecology and Management, 243, 1 to 12.

Elliott, S., Navakitbumrung, P., Kuarak, C., Zangkum, S., Anusarnsunthorn, V., & Blakesley, D. (2003). Selecting framework tree species for restoring seasonally dry tropical forests in northern Thailand based on field performance. Forest Ecology and Management, 184, 177–191.

Environmental Leadership & Training Initiative (ELTI). (2019). Tropical forest restoration strategies for human-dominated landscapes. Yale School of the Environment.

Fremout, T., Thomas, E., Gaisberger, H., Van Meerbeek, K., Muenchow, J., Briers, S., Gutierrez-Miranda, C. E., Marcelo-Peña, J. L., Kindt, R., Atkinson, R., Cabrera, O., Espinosa, C. I., Aguirre-Mendoza, Z., & Muys, B. (2020). Mapping tree species vulnerability to multiple threats as a guide to restoration and conservation of tropical dry forests. Global Change Biology, 26, 3552 to 3568.

Griscom, H. P., & Ashton, M. S. (2011). Restoration of dry tropical forests in Central America: A review of pattern and process. Forest Ecology and Management, 261, 1564 to 1579.

Griscom, H. P., Connelly, A. B., Ashton, M. S., Wishnie, M. H., & Deago, J. (2011). The structure and composition of a tropical dry forest landscape after land clearance: Azuero Peninsula, Panama. Journal of Sustainable Forestry, 30(8), 756 to 774.

Kayumba, P. M., Chen, Y., Mindje, M., Ali, S., Mind’je, R., DeFreese, M., Nyirambangutse, B., & Hu, Y. (2025). Asian Dryland Ecohealth Progress for Land Degradation Neutrality. Journal of Remote Sensing, 5, 897.

Lebrija-Trejos, E., Bongers, F., Pérez-García, E. A., & Meave, J. A. (2008). Successional change and resilience of a very dry tropical deciduous forest following shifting agriculture. Biotropica, 40(4), 422 to 431.

Perotto-Baldivieso, H. L., Pérez, K. F., & Avila Sanchez, J. S. (2025). Remote Sensing of Drylands: An Overview. Oxford Research Encyclopedia of Environmental Science.

Piotto, D., Víquez, E., Montagnini, F., & Kanninen, M. (2004). Pure and mixed forest plantations with native species of the dry tropics of Costa Rica: A comparison of growth and productivity. Forest Ecology and Management, 190, 359 to 372.

Randrianasolo, R., Ranjatson, P., McLain, R., Nomenjanahary, A., & Manasoa, C. G. O. (2022). A cautionary note for forest landscape restoration in drylands: Cattle production systems in northwest Madagascar’s dry forests. Forests, Trees and Livelihoods, 31(2), 86 to 103.

Skoglund, J. (1992). The role of seed banks in vegetation dynamics and restoration of dry tropical ecosystems. Journal of Vegetation Science, 3, 357 to 360.

Suárez, A., Williams-Linera, G., Trejo, C., Valdez-Hernández, J. I., Cetina-Alcalá, V. M., & Vibrans, H. (2012). Local knowledge helps select species for forest restoration in a tropical dry forest of central Veracruz, Mexico. Agroforestry Systems, 85, 35 to 55.

Sutton, A., Fisher, A., & Metternicht, G. (2026). A Systematic Review on Remote Sensing of Dryland Ecological Integrity: Improvement in the Spatiotemporal Monitoring of Vegetation Is Required. Remote Sensing, 18(1), 184.

Vieira, D. L. M., & Scariot, A. (2006). Principles of natural regeneration of tropical dry forests for restoration. Restoration Ecology, 14(1), 11 to 20.

Weston, P., Hong, R., Kaboré, C., & Kull, C. A. (2015). Farmer-managed natural regeneration enhances rural livelihoods in dryland West Africa. Environmental Management, 55, 1402 to 1417.

González-Vélez, J. C., Torres-Madronero, M. C., Martínez-Vargas, J. D., Rodríguez-Marín, P., Perez-Guerra, J., & Herrera-Ruiz, V. (2026). Tropical dry forest land use/land cover change detection using semi-supervised deep learning algorithms and remote sensing. Environmental Monitoring and Assessment, 198(2), 197.

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