将森林管理与周围土地联系起来:以公民为基础的方法,促进对土地利用过渡的区域理解

Di Yang, Chiung-Shiuan Fu, H. Herrero, J. Southworth, Michael Binford
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引用次数: 0

摘要

美国东南部具有高度的景观异质性,拥有严格管理的林地,发达的农业和多个大都市区。土地利用的空间格局是动态的。扩大城市地区,使林地和农用地转变,灌木林转变为柑橘林,一些农田转变为松树林。以前的研究已经认识到森林管理是森林结构和功能变化的主要因素,但在区域尺度上森林管理实践如何与周围土地利用相互作用知之甚少。研究森林管理与周围景观的空间关系的第一步是能够绘制管理实践地图并描述它们与各种土地利用的接近程度。用任何方法生成区域尺度的土地利用和土地管理地图都有两个主要困难:需要大量的训练数据集和昂贵的计算。众包、公民科学测绘和云计算的结合可能有助于克服这些困难。在本研究中,OpenStreetMap被纳入土地利用制图,显示出在区域尺度上对土地利用进行论证和监测的巨大潜力。谷歌地球引擎通过提供各种地球观测数据集和计算资源,实现大规模空间分析和图像处理。通过将OpenStreetMap数据集整合到地球观测图像中,绘制林地管理实践并确定附近其他土地利用的分布,我们开发了一种强大的区域土地利用制图方法,并描述了不同土地利用如何影响森林管理的模式,反之亦然。研究发现,农田更有可能靠近生态森林经营斑块;土地利用与保护林经营之间不存在密切的空间关系,实现了保育林的保护经营策略,生产林与耕地的空间关系最强。这种方法使人们更加了解地方到区域尺度上的土地使用模式和管理做法。
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Linking forest management to surrounding lands: a citizen-based approach towards the regional understanding of land-use transitions
The Southeastern United States has high landscape heterogeneity, with heavily managed forestlands, developed agriculture, and multiple metropolitan areas. The spatial pattern of land use is dynamic. Expansion of urban areas convert forested and agricultural land, scrub forests are converted to citrus groves, and some croplands transition to pine plantations. Previous studies have recognized that forest management is the predominant factor in structural and functional changes forests, but little is known about how forest management practices interact with surrounding land uses at the regional scale. The first step in studying the spatial relationships of forest management with surrounding landscapes is to be able to map management practices and describe their proximity to various land uses. There are two major difficulties in generating land use and land management maps at the regional scale by any method: the necessity of large training data sets and expensive computation. The combination of crowdsourced, citizen-science mapping and cloud-based computing may help overcome those difficulties. In this study, OpenStreetMap is incorporated into mapping land use and shows great potential for justifying and monitoring land use at a regional scale. Google Earth Engine enables large-scale spatial analysis and imagery processing by providing a variety of Earth observation datasets and computational resources. By incorporating the OpenStreetMap dataset into Earth observation images to map forest land management practices and determine the distribution of other nearby land uses, we develop a robust regional land-use mapping approach and describe the patterns of how different land uses may affect forest management and vice versa. We find that cropland is more likely to be near ecological forest management patches; few close spatial relationships exist between land uses and preservation forest management, which fulfills the preservation management strategy of sustaining the forests, and production forests have the strongest spatial relationships with croplands. This approach leads to increased understanding of land-use patterns and management practices at local to regional scales.
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