Estimating the optimal vegetation coverage for the dominant tree and shrub species over China’s northwest drylands

IF 6 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Zhongdian Zhang, Xiaoxu Jia, Ping Zhu, Mingbin Huang, Lidong Ren, Ming’an Shao
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引用次数: 0

Abstract

Anthropogenic revegetation is an effective way to control soil erosion and restore degraded ecosystems in China’s northwest drylands (NWD). However, excessive vegetation cover expansion has long been known to increase evapotranspiration, leading to reduced local water availability, which can in turn threaten the health and services of restored ecosystems. Determining the optimal vegetation coverage (OVC) is critical for balancing the trade-off between plant growth and water consumption in water-stressed areas, yet quantitative assessments over the entire NWD are still lacking. In this study, a modified Biome BioGeochemical Cycles (Biome-BGC) model was used to simulate the long-term (1961–2020) dynamics of actual evapotranspiration (ETa), net primary productivity (NPP), and leaf area index (LAI) for the dominant non-native tree (R. pseudoacacia and P. sylvestris) and shrub (C. korshinkii and H. rhamnoides) species at 246 meteorological sites over NWD. The modified model incorporated the Richards equation to simulate transient unsaturated water flow in a multilayer soil module, and both soil and eco-physiological parameters required by the model were validated using field-observed ETa data for each species. Spatial distributions of OVC (given by the mean maximum LAI, LAImax) for the dominant species were determined within three hydrogeomorphic sub-areas (i.e., the loess hilly-gully sub-area, the windy and sandy sub-area, and the desert sub-area). The modified Biome-BGC model performed well in terms of simulating ETa dynamics for the four plant species. Spatial distributions of mean ETa, NPP, and LAImax generally exhibited patterns similar to mean annual precipitation (MAP). In the loess hilly-gully sub-area (MAP: 210 to 710 mm), the OVC respectively ranged from 1.7 to 2.9 and 0.8 to 2.9 for R. pseudoacacia and H. rhamnoides. In the windy and sandy sub-area (MAP: 135 to 500 mm), the OVC ranged from 0.3 to 3.3, 0.5 to 2.6 and 0.6 to 2.1 for P. sylvestris, C. korshinkii and H. rhamnoides, respectively. In the desert sub-area (MAP: 90 to 500 mm), the OVC ranged from 0.4 to 1.7 for H. rhamnoides. Positive differences between observed and simulated plant coverage were found over 51% of the forest- and shrub-covered area, especially in the loess hilly-gully sub-area, suggesting possible widespread overplanting in those areas. This study provides critical revegetation thresholds for dominant tree and shrub species to guide future revegetation activities. Further revegetation in areas with overplanting should be undertaken with caution, and restored ecosystems that exceed the OVC should be managed (e.g., thinning) to maintain a sustainable ecohydrological environment in the drylands.

估算中国西北旱地主要乔木和灌木物种的最佳植被覆盖率
人为植被重建是控制水土流失和恢复中国西北旱地退化生态系统的有效方法。然而,众所周知,过度扩大植被覆盖面积会增加蒸散量,导致当地供水量减少,进而威胁到恢复后生态系统的健康和服务。确定最佳植被覆盖度(OVC)对于在缺水地区平衡植物生长与水消耗之间的权衡至关重要,但目前仍缺乏对整个西北地区的定量评估。本研究使用改进的生物群落生物地球化学循环(Biome-BGC)模型模拟了西北地区 246 个气象站点的主要非本地树种(R. pseudoacacia 和 P. sylvestris)和灌木(C. korshinkii 和 H. rhamnoides)的实际蒸散量(ETa)、净初级生产力(NPP)和叶面积指数(LAI)的长期(1961-2020 年)动态。修改后的模型纳入了理查兹方程,以模拟多层土壤模块中的瞬态非饱和水流,模型所需的土壤和生态生理参数均通过各物种的实地观测蒸散发数据进行了验证。在三个水文地质亚区(即黄土丘陵沟壑亚区、多风沙亚区和荒漠亚区)内确定了优势物种的 OVC 空间分布(以平均最大 LAI,LAImax 表示)。修改后的 Biome-BGC 模型在模拟四种植物的蒸散发动态方面表现良好。平均蒸散发、氮磷钾和 LAImax 的空间分布与平均年降水量(MAP)的分布模式相似。在黄土丘陵沟壑亚区(平均年降水量:210 至 710 毫米),假澳洲坚树和鼠李的 OVC 分别为 1.7 至 2.9 和 0.8 至 2.9。在多风沙亚区(MAP:135 至 500 毫米),P. sylvestris、C. korshinkii 和 H. rhamnoides 的 OVC 分别为 0.3 至 3.3、0.5 至 2.6 和 0.6 至 2.1。在沙漠子区域(MAP:90 至 500 毫米),鼠李的 OVC 值介于 0.4 至 1.7 之间。在 51% 的森林和灌木覆盖区,尤其是在黄土丘陵沟壑亚区,观察到的植物覆盖率与模拟的植物覆盖率之间存在正差异,这表明在这些地区可能存在广泛的过度种植。这项研究为主要乔木和灌木物种提供了关键的重新植被阈值,以指导未来的重新植被活动。在过度种植的地区进行进一步的重新植被应谨慎从事,对超过 OVC 的恢复生态系统应进行管理(如疏伐),以保持干旱地区可持续的生态水文环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Science China Earth Sciences
Science China Earth Sciences GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
9.60
自引率
5.30%
发文量
135
审稿时长
3-8 weeks
期刊介绍: Science China Earth Sciences, an academic journal cosponsored by the Chinese Academy of Sciences and the National Natural Science Foundation of China, and published by Science China Press, is committed to publishing high-quality, original results in both basic and applied research.
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