Future forests and wild woods: modelling the responses of trees to climate, land-use, soils and mycorrhizal symbioses

未来的森林和野生树林：模拟树木对气候、土地利用、土壤和菌根共生的反应

• 批准号: 2111945
• 金额: --
• 依托单位: University of Reading
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2111945
• 关键词: Future; forests; wild; woods; modelling

Describing and modelling the large-scale responses of plants to climate change is essential if we are to design ecologically appropriate management strategies for urban, rural, and wild areas. This project will focus specifically on the development of mathematical models that explore factors contributing to the establishment and persistence of forests and woodlands. Studies of species responses to climate change almost invariably focus on climate itself as a predictor, yet there are several other key determinants of changes in distribution and function. Soils provide the ecological and historical context into which individual plants must disperse, germinate, establish, and develop. Soil biology is particularly important: trees typically form obligate symbotic associations with mycorrhizal fungi, but must also contend with fungal pathogens like Armillaria root disease. Layered onto these ecological components is human land-use, the scale and history of which is an essential component of past and contemporary ecosystems. The disturbances arising from urbanization, farming, forest harvesting practices, the creation of parks, and natural processes can all have significant impacts on future forests and woodlands. The aims of this project are to:collect quantitative data on i) survival, growth, and aboveground functional traits of multiple provenances of key tree species in the field, and ii) belowground functional traits of roots and fungal symbionts using experimental lab-based approachesuse this data to parameterize species-specific models of responses to climate change, soils, and land-use impactsconstruct individual-based models incorporating information on climate, soils, and soil biota to explore the consequences for future forest regeneration and persistence in a wide range of abiotic and biotic conditionsThis project combines theoretical and field ecology (Pickles), ecophysiological expertise (Tibbett), and mathematical modelling (Sibly), to explore the growth, survival, and functional responses of trees to changes in climate, soil, land-use and biotic interactions. Field, lab, and mathematical approaches will be to construct models of forest responses to future climate change and land-use pressures, and the project engages with five NERC's seven goals for the QMEE CDT: Use/development of statistical and computational tools.Development of theory, and integration of theory into models.Mathematical modelling of ecological systems on diverse temporal and spatial scales.Quantitative population ecology.Integration of data from the wider environmental sciences into ecological models.

描述和模拟植物对气候变化的大规模反应是必不可少的，如果我们要为城市，农村和野生地区设计生态适当的管理策略。本项目将特别着重于开发数学模型，探讨有助于森林和林地的建立和持续存在的因素。关于物种对气候变化反应的研究几乎总是把气候本身作为一个预测因素，但还有其他几个决定分布和功能变化的关键因素。土壤提供了生态和历史背景，植物个体必须在其中散布、发芽、建立和发展。土壤生物学特别重要：树木通常与菌根真菌形成专性共生关系，但也必须与真菌病原体如蜜环菌根病相抗衡。在这些生态组成部分之上的是人类的土地使用，其规模和历史是过去和当代生态系统的重要组成部分。城市化、耕作、森林采伐做法、公园的建立和自然进程所产生的干扰都可能对未来的森林和林地产生重大影响。该项目的目标是：收集有关i）野外关键树种多个种源的存活、生长和地上功能性状的定量数据，以及ii）根和真菌共生体的地下功能性状，使用基于实验室的方法使用这些数据来参数化物种对气候变化、土壤和土地利用影响的响应模型构建基于个体的模型，将气候、土壤和土壤生物区系的信息结合起来，以探索在广泛的非生物和生物条件下未来森林再生和持久性的后果。和数学建模（Sibly），探索树木的生长，生存和功能反应的气候，土壤，土地利用和生物相互作用的变化。现场，实验室和数学方法将构建森林对未来气候变化和土地使用压力的响应模型，该项目涉及NERC为QENUC CDT制定的五个目标：使用/开发统计和计算工具。生态系统在不同时间和空间尺度上的数学建模。数量种群生态学。数据整合从更广泛的环境科学到生态模型。