The impact of land use/land cover scale on modelling urban ecosystem services
The impact of land use/land cover scale on modelling urban ecosystem services
复制标题
DOI：
10.1007/s10980-015-0337-7
复制
发表时间：
2016-09-01
影响因子：
5.2
通讯作者：
Harris, Jim A.
中科院分区：
文献类型：
--
作者：
Grafius, Darren R.;Corstanje, Ron;Harris, Jim A.
城市化对生态系统服务的压力越来越大;然而，用于测试服务提供与城市景观之间关系的现有方法和数据仍然不准确和不确定。规模的未知影响是使研究复杂化的几个因素之一。本研究模拟了城市地区的生态系统服务，包括米尔顿凯恩斯，贝德福德和卢顿的城镇，这些城镇共同代表了英国广泛的城市形式。目的本研究的目的是测试（1）生态系统服务模型输出对输入数据空间分辨率的敏感性，以及（2）在不同的生态系统服务和模型方法中，任何由此产生的尺度依赖性是否是恒定的方法碳储存、沉积物侵蚀、和授粉建模与InVEST框架使用输入数据代表共同粗（25米）和细（5米）结果精细尺度分析产生了更高的总碳储量估计值（9.32对7.17千克米（-2））和更低的潜在沉积物侵蚀估计（6.4与18.1兆公里（-2）年（-1））比在较粗分辨率下进行的分析;然而，粗尺度分析估计更丰富的授粉服务provid.Conclusions规模的敏感性取决于类型的服务被模拟;存量估计（如碳储存）对跨尺度的汇总最为敏感，动态流动模型（如沉积物侵蚀）对空间分辨率最为敏感，而涉及存量和动态的生态过程模型（如授粉）对两者都敏感。必须小心选择与调查规模相适应的模型数据。
Context Urbanisation places increasing stress on ecosystem services; however existing methods and data for testing relationships between service delivery and urban landscapes remain imprecise and uncertain. Unknown impacts of scale are among several factors that complicate research. This study models ecosystem services in the urban area comprising the towns of Milton Keynes, Bedford and Luton which together represent a wide range of the urban forms present in the UK.Objectives The objectives of this study were to test (1) the sensitivity of ecosystem service model outputs to the spatial resolution of input data, and (2) whether any resultant scale dependency is constant across different ecosystem services and model approaches (e.g. stock-versus flow-based).Methods Carbon storage, sediment erosion, and pollination were modelled with the InVEST framework using input data representative of common coarse (25 m) and fine (5 m) spatial resolutions.Results Fine scale analysis generated higher estimates of total carbon storage (9.32 vs. 7.17 kg m(-2)) and much lower potential sediment erosion estimates (6.4 vs. 18.1 Mg km(-2) year(-1)) than analyses conducted at coarser resolutions; however coarse-scale analysis estimated more abundant pollination service provision.Conclusions Scale sensitivities depend on the type of service being modelled; stock estimates (e.g. carbon storage) are most sensitive to aggregation across scales, dynamic flow models (e.g. sediment erosion) are most sensitive to spatial resolution, and ecological process models involving both stocks and dynamics (e.g. pollination) are sensitive to both. Care must be taken to select model data appropriate to the scale of inquiry.