Abstract

Multi-species plantation has long been applied in forestry and landscape restoration to provide better ecosystem services and functions. However, the differences in water-use patterns between mixed and pure plantations are poorly understood, especially in the arid/semi-arid artificial desert ecosystems. The stable isotope compositions (δ2H and δ18O) of rainwater, xylem water, soil water, and groundwater were analyzed over three growing seasons (2019–2021) to identify the water-use patterns of Artemisia desterorum Spreng (A. desterorum), Amorpha fruticosea (A. fruticosa) and Pinus sylvestris var. mongolica (P. sylvestris) in pure and mixed plantations in the Mu Us Sandy Land. Seasonally, there was a transference of water-use pattern from deep (moist layer and groundwater) to shallow water sources (active and stable layers) during the transition period between the dry and rainy season for both pure and mixed A. fruticosa and P. sylvestris, which was attributed to dimorphic root systems of arbor and shrub in the water-limited region. However, A. desterorum with shallower roots predominately absorbed water from the active and stable layers across the whole growing season regardless of planting pattern. Annually, the three plant species in pure stands extracted water predominantly from the stable layer (36.97%–46.16%), followed by the active layer (23.55%–36.98%). In the mixed stand, however, all the plants absorbed water mainly from the active layer (33.04%–39.44%), followed by the stable layer (30.46%–33.68%), suggesting that multi-species plantation intensifies shallow soil water competition. Additionally, the proportional contribution of groundwater to plant water uptake under mixed plantation was higher than the pure plantations, causing faster groundwater decline in the mixed stand (0.29 m yr−1) compared to pure stands (0.11–0.20 m yr−1). Our study demonstrates that multi-species plantation in the water-limited desert region intensifies soil water competition and groundwater depletion and thus adversely affects sustainable development goals.

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