Acero Triana Juan S, Chu Maria L, Shipley Nathan J, van Riper Carena J, Stewart William P, Suski Cory D
Department of Environmental Sciences, University of California, Geology Building, 900 University Avenue, Riverside, CA, 92521, USA.
Department of Agricultural and Biological Engineering, University of Illinois at Urbana-Champaign, 1304 West Pennsylvania Avenue, Urbana, IL, 61801, USA.
J Environ Manage. 2022 Jul 15;314:115077. doi: 10.1016/j.jenvman.2022.115077. Epub 2022 Apr 23.
Decision-making processes to ensure sustainability of complex agro-ecosystems must simultaneously accommodate production goals, environmental soundness, and social relevancy. This means that besides environmental indicators and human activities, stakeholders' perceptions need to be considered in the decision-making process to enable the adoption of mitigation practices. Thus, the decision-making process equates to a multi-criteria and multi-objective problem, requiring additional tools and methods to analyze the possible tradeoffs among decision alternatives based on social acceptability. This study was aimed at establishing a decision support system that integrates hydro-ecologic models and socio-cultural perspectives to identify and assess feasible land management alternatives that can enhance the Kaskaskia River Watershed (KRW) ecosystem services in Illinois (USA). The Soil and Water Assessment Tool (SWAT) was used to simulate the spatio-temporal response of nine environmental predictors to four major management alternatives (crop rotation, cover cropping, reduced tillage, modified fertilizer application) based on stakeholder acceptability and environmental soundness, under 32 distinct climate projections. The stochastic multicriteria acceptability analysis (SMAA) was then applied to classify the management alternatives from the least to the most efficient based on three preference schemes: no preference, expert stakeholders' preference, and non-expert stakeholders' preference. Results showed that preference information on watershed ecosystem services is crucial to guide the decision-making process when a broad spectrum of criteria is considered to assess the management alternatives' systemic response. The disparity between expert and non-expert stakeholders' preferences showed different rankings of alternatives across several subcatchments, where the two-year corn one-year soybean rotation scheme was expected to offer the best management alternative to ensure a sustainable agro-production system in the highly cultivated subcatchments of the KRW. In contrast, non-conventional tillage practices were expected to contravene agricultural production, and therefore should be discarded unless combined with complementary measures. This study will enable stakeholders to identify the most suitable management practices to adapt to natural and anthropogenic changes and encourage engagement between government institutions and local communities (multi-stakeholder consensus) to provide a better platform for decision-making.
确保复杂农业生态系统可持续性的决策过程必须同时兼顾生产目标、环境合理性和社会相关性。这意味着除了环境指标和人类活动外,在决策过程中还需要考虑利益相关者的看法,以便能够采用缓解措施。因此,决策过程等同于一个多标准、多目标的问题,需要额外的工具和方法来分析基于社会可接受性的决策备选方案之间可能的权衡取舍。本研究旨在建立一个决策支持系统,该系统整合水文生态模型和社会文化视角,以识别和评估可行的土地管理备选方案,这些方案可增强美国伊利诺伊州卡斯卡西亚河流域(KRW)的生态系统服务。基于利益相关者的可接受性和环境合理性,利用土壤和水资源评估工具(SWAT)模拟了9个环境预测因子对4种主要管理备选方案(作物轮作、覆盖作物种植、减少耕作、改良肥料施用)在32种不同气候预测下的时空响应。然后应用随机多标准可接受性分析(SMAA),根据三种偏好方案将管理备选方案从效率最低到最高进行分类:无偏好、专家利益相关者偏好和非专家利益相关者偏好。结果表明,当考虑广泛的标准来评估管理备选方案的系统响应时,流域生态系统服务的偏好信息对于指导决策过程至关重要。专家和非专家利益相关者偏好之间的差异表明,在几个子流域中,备选方案的排名不同,其中两年玉米一年大豆轮作方案有望提供最佳管理备选方案,以确保KRW高度耕种子流域的可持续农业生产系统。相比之下,非传统耕作方式预计会违背农业生产,因此除非与补充措施相结合,否则应予以摒弃。本研究将使利益相关者能够识别最适合的管理实践,以适应自然和人为变化,并鼓励政府机构与当地社区之间的参与(多利益相关者共识),从而为决策提供更好的平台。