Dynamic conservation strategies for protected areas of Fujian Province: From integrated perspective of the adaptability of habitat and carbon storage to climate

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Aifang Weng , Qunyue Liu , Yuying Lin , Mir Muhammad Nizamani , Linsheng Wen , Yunrui Zhou , Hongxin Wang , Baoyin Li
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引用次数: 0

Abstract

Traditional protected areas (PAs) with fixed boundaries are insufficient in the face of global climate change, undermining biodiversity conservation and climate impact mitigation. Fujian Province, a biodiversity hotspot in China, requires dynamic conservation strategies to maintain habitat quality (HQ) and carbon storage (CS). This research introduces a novel framework that integrates land-use simulation and ecosystem service valuation models to address conservation challenges under varying climate scenarios. We employ the System Dynamics (SD), the Patch-generating Land Use Simulation (PLUS) model, and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model to explore how future climate scenarios might alter land use, HQ, and CS, and determines the conservation priorities for Fujian Province by 2050 based on HQ, CS capacity, and a future vision for protection. Findings indicate: (1) Under SSP1-2.6, Fujian Province exhibits an increased demand for forests, grasslands, and water resources, while SSP2-4.5 and SSP5-8.5 predict an elevated demand for urban land, extending into inland areas. (2) In SSP1-2.6, HQ and CS are expected to improve, with average HQ projected to rise to 0.71 and CS to 15.63 Mg/ha by 2050. Conversely, under SSP5-8.5, HQ is anticipated to decline to 0.66, and CS to 15.14 Mg/ha. SSP2-4.5 shows moderate levels, with slight decreases in HQ to 0.69 and CS to 15.34 Mg/ha due to moderate urban expansion. Nature reserves demonstrate the highest potential, while national parks remain stable and ocean parks perform poorly. (3) Hotspots are primarily located in the western Wuyishan and central Daiyun mountain ranges. Conservation targets are recommended at 15 %, 30 %, and 43 % of Fujian Province’s area for 2030, 2040, and 2050, respectively. This research provides a framework for enhancing protected areas, empowering governments to advance biodiversity conservation and achieve carbon neutrality.
福建省保护区的动态保护战略:从栖息地和碳储存对气候适应性的综合视角出发
面对全球气候变化,边界固定的传统保护区(PAs)不足以保护生物多样性和减轻气候影响。福建省是中国的生物多样性热点地区,需要动态的保护战略来维持栖息地质量(HQ)和碳储存(CS)。本研究引入了一个新颖的框架,将土地利用模拟和生态系统服务评估模型整合在一起,以应对不同气候情景下的保护挑战。我们采用系统动力学(SD)、斑块生成土地利用模拟(PLUS)模型和生态系统服务综合估值与权衡(InVEST)模型,探讨了未来气候情景如何改变土地利用、HQ 和 CS,并根据 HQ、CS 容量和未来保护愿景确定了福建省到 2050 年的保护重点。研究结果表明:(1)在 SSP1-2.6 条件下,福建省对森林、草地和水资源的需求增加,而 SSP2-4.5 和 SSP5-8.5 预测对城市用地的需求增加,并向内陆地区延伸。(2) 在 SSP1-2.6 中,预计 HQ 和 CS 将得到改善,到 2050 年,平均 HQ 预计将升至 0.71,CS 预计将升至 15.63 兆克/公顷。相反,在 SSP5-8.5 条件下,预计 HQ 将下降到 0.66,CS 将下降到 15.14 毫克/公顷。SSP2-4.5 显示出中等水平,由于适度的城市扩张,HQ 略微下降到 0.69,CS 下降到 15.34 兆克/公顷。自然保护区潜力最大,而国家公园保持稳定,海洋公园表现较差。(3)热点地区主要位于武夷山西部和戴云山中部。建议 2030 年、2040 年和 2050 年的保护目标分别为福建省面积的 15%、30% 和 43%。这项研究为加强保护区提供了一个框架,使政府有能力推进生物多样性保护并实现碳中和。
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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