Iranian rangelands constitute one of the most extensive land resources in the country and play a crucial ecological and socio-economic role across arid and semi-arid regions. They sustain biodiversity, regulate hydrological processes, store carbon, and provide livelihoods for pastoral communities. However, over recent decades these ecosystems have been increasingly exposed to climate variability and long-term climatic change. Rising temperatures, irregular precipitation patterns, prolonged droughts, and the growing frequency of extreme weather events have intensified environmental stress and accelerated land degradation processes. These pressures interact with existing land-use challenges such as overgrazing, unsustainable management practices, and fragmented institutional governance. As a result, rangeland systems are experiencing declining vegetation cover, reduced productivity, increased soil erosion, and shifts in species composition toward drought- and heat-tolerant plants. Such transformations indicate not only ecological stress but also a weakening of ecosystem services that are vital for long-term sustainability.
Despite the growing body of scientific evidence documenting these changes, restoration and management approaches applied in Iranian rangelands have largely remained conventional, static, and sector-based. Many strategies still rely on assumptions of environmental stability and attempt to restore ecosystems to historical reference conditions without accounting for ongoing climatic shifts. This mismatch between ecological realities and management assumptions limits the effectiveness of restoration interventions. Short-term planning horizons, insufficient monitoring, and limited integration of ecological knowledge into policy further reduce the resilience of restoration programs. Consequently, there is a clear need for a more adaptive and forward-looking framework that can accommodate uncertainty, variability, and the evolving nature of dryland ecosystems under climate change.
To address this need, the present study undertook a systematic review of national and international literature related to Iranian rangelands and comparable dryland systems. The review synthesized research on vegetation dynamics, biodiversity responses, soil stability, carbon sequestration, hydrological regulation, and management practices. By applying a thematic analytical approach, the study identified recurring ecological trends, key vulnerabilities, and structural weaknesses in existing restoration policies. Particular attention was given to translating scientific findings into operational guidance that could support practical decision-making. This synthesis allowed the study not only to assess ecological impacts but also to explore how restoration strategies could better respond to climatic uncertainty, socio-economic constraints, and evolving management priorities.
The findings reveal that climate change is already reshaping ecological structure and function in Iranian rangelands. Declines in plant biomass and productivity are widespread, reflecting increased water stress and temperature extremes. Species composition is shifting toward more resilient but often less productive vegetation types, while overall species diversity tends to decline in heavily stressed areas. These biological changes are accompanied by reduced ecosystem functions, including diminished soil stabilization, weakened carbon storage capacity, and impaired regulation of water flows. Such losses are particularly concerning because they reduce the buffering capacity of rangelands against further environmental disturbances. Moreover, climate pressures do not act in isolation; they amplify the impacts of existing management challenges such as excessive grazing pressure, inadequate land-use planning, and weak coordination among institutions. The combined effect of these factors results in ecosystems that are increasingly vulnerable to degradation thresholds and recovery limitations.
Traditional restoration approaches, which typically aim to re-establish historical vegetation patterns or fixed productivity targets, appear insufficient under these changing conditions. Because climate trajectories are uncertain and ecological responses are nonlinear, restoration must be understood as a dynamic process rather than a one-time intervention. In response, this study proposes a conceptual framework built on three complementary pillars: adaptive management, targeted ecological interventions, and data-informed decision-making. Adaptive management emphasizes flexibility, iterative learning, and continuous adjustment of practices based on monitoring results. Instead of rigid prescriptions, management actions are treated as hypotheses to be tested and refined over time. This approach allows restoration programs to evolve in response to climatic fluctuations and ecological feedbacks.
The second pillar focuses on targeted ecological interventions designed to enhance resilience rather than merely recreate past conditions. Such interventions may include promoting drought-tolerant native species, improving soil structure through vegetation cover and erosion control measures, and optimizing grazing regimes to balance productivity with regeneration capacity. By prioritizing functional recovery—such as soil protection, nutrient cycling, and water retention—over strict historical replication, restoration efforts can better support ecosystem stability under future climatic scenarios. The third pillar highlights the importance of data-driven planning and monitoring systems. Advances in remote sensing, ecological modeling, and environmental indicators offer new opportunities to track vegetation dynamics, detect early signs of degradation, and evaluate restoration outcomes. Integrating these tools into management cycles enables evidence-based decisions and supports timely adjustments.
An essential component of the proposed framework is participatory governance. Effective restoration requires collaboration among researchers, land managers, local communities, and policy makers. Pastoralists and local users possess valuable experiential knowledge about vegetation patterns, seasonal variability, and land-use constraints, which can complement scientific insights. Incorporating stakeholder participation improves the legitimacy of management decisions, enhances compliance with grazing regulations, and fosters shared responsibility for ecosystem stewardship. Furthermore, coordinated institutional arrangements can reduce fragmentation in policy implementation and improve the efficiency of restoration investments.
Overall, the study argues that successful restoration of Iranian rangelands in the context of climate change depends on shifting from static, prescriptive approaches toward dynamic, learning-based strategies. Restoration must be seen not simply as the re-establishment of vegetation but as the strengthening of ecological processes and socio-ecological resilience. By embedding adaptive learning mechanisms into management plans, restoration programs can respond more effectively to environmental feedback and long-term uncertainty. Continuous monitoring, participatory governance, and the integration of technological tools can significantly enhance the durability of restoration outcomes.
In conclusion, climate-aware rangeland restoration represents a critical component of sustainable land governance in Iran and other dryland regions. The framework proposed in this study offers a pathway to align ecological science with practical management by emphasizing flexibility, functional recovery, and evidence-based decision-making. Implementing such an approach can help reduce degradation risks, support ecosystem services, and strengthen the resilience of both landscapes and communities. As climate pressures intensify, restoration policies must remain responsive and forward-looking, ensuring that management strategies evolve alongside environmental change. By linking scientific understanding with adaptive governance and continuous monitoring, this perspective provides actionable guidance for improving the long-term sustainability of rangeland ecosystems under uncertain climatic futures.