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Land use and land cover scenarios: An interdisciplinary approach integrating local conditions and the global shared socioeconomic pathways

机译:土地利用和土地覆盖情景:跨学科方法整合当地条件和全球共享社会经济途径

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Land Use and Land Cover (LULC) changes have profound impacts on the functioning of (agro)ecosystems and have potential to mitigate global climate change. However, we still lack interdisciplinary methods to project future LULC scenarios at spatial scales that are relevant for local decision making and future environmental assessments. Here we apply an interdisciplinary approach to develop spatially explicit projections of LULC at a resolution of 30 x 30 m informed by historic relationships between LULC and their key drivers, within the context of the four qualitative scenarios of global shared socioeconomic pathways. We apply this methodology to a case study in the Zona da Mata, Brazil, which has a history of major LULC changes. The analysis of LULC changes from 1986 to 2015 indicates that pasture area decreased from 76 to 58 % of total area, while forest areas increased from 18 to 24 %, and coffee from 3 to 11 %. Environmental protection legislation, rural credit for smallholder farmers, and demand for agricultural and raw products were identified as main drivers of LULC changes. Projected LULC for 2045 strongly depends on the global socioeconomic pathway scenarios, and forest and coffee areas may increase substantially under strong government measures in the environmentally conscious Green Road scenario or decrease in the high consumption Rocky Road scenario. Our study shows that under the set of drivers during the past three decades reforestation can go hand in hand with increase of agricultural production, but that major and contrasting changes in LULC can be expected depending on the socioeconomic pathway that will be followed in the future. To guide this process, LULC scenarios at the local scale can inform the planning of local and regional development and forest conservation.
机译:土地利用和陆地覆盖(LULC)变化对(农业)生态系统的运作产生了深远的影响,并有可能减轻全球气候变化。然而,我们仍然缺乏跨学科方法来在与地方决策和未来环境评估相关的空间尺度下项目的未来LULC情景。在这里,我们应用跨学科方法,以在全球共享社会经济途径的四种定性情景的背景下,在LULC和其关键驾驶员之间的历史关系中,在LULC的分辨率下开发LULC的空间明确预测。我们将这种方法应用于巴西Zona Da Mata的案例研究,其中有一个主要的LULC历史。 LULC的分析从1986年到2015年的变化表明,牧场面积从总面积的76升至58%,而森林区从18%增加到24%,咖啡3%至11%。环境保护立法,农村农民的农村信贷以及农业和原料产品的需求被确定为LULC变化的主要驱动因素。预计的LULC为2045年强烈依赖于全球社会经济途径情景,森林和咖啡区可能会在环境意识的绿色道路情景或高消费岩石道路情景下降的强劲政策措施下大幅增加。我们的研究表明,在过去三十年的司机下,重新造林可以随着农业生产的增加而携手,但是Lulc的主要和对比的变化可以预期,取决于未来将遵循的社会经济途径。为引导此过程,当地规模的Lulc情景可以告知当地和区域发展和森林保护的规划。

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