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巴西新土地利用变化情景:利用区域空间明确分配模型细化全球可持续发展情景。

New land-use change scenarios for Brazil: Refining global SSPs with a regional spatially-explicit allocation model.

机构信息

General Cordination of Earth Sciences, National Institute for Space Research (INPE), São José dos Campos, SP, Brazil.

Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden.

出版信息

PLoS One. 2022 Apr 20;17(4):e0256052. doi: 10.1371/journal.pone.0256052. eCollection 2022.

Abstract

The future of land use and cover change in Brazil, particularly due to deforestation and forest restoration processes, is critical for the future of global climate and biodiversity, given the richness of its five biomes. These changes in Brazil depend on the interlink between global factors due to its role as one of the main exporters of commodities globally and the national to local institutional, socioeconomic, and biophysical contexts. Aiming to develop scenarios that consider the balance between global (e.g., GDP growth, population growth, per capita consumption of agricultural products, international trade policies, and climatic conditions) and local factors (e.g., land use, agrarian structure, agricultural suitability, protected areas, distance to roads, and other infrastructure projects), a new set of land-use change scenarios for Brazil were developed that aligned with the global structure Shared Socioeconomic Pathways (SSPs) and Representative Concentration Pathway (RCPs) developed by the global change research community. The narratives of the new scenarios align with SSP1/RCP 1.9 (Sustainable development scenario), SSP2/RCP 4.5 (Middle of the road scenario), and SSP3/RCP 7.0 (Strong inequality scenario). The scenarios were developed by combining the LuccME spatially explicit land change allocation modeling framework and the INLAND surface model to incorporate the climatic variables in water deficit. Based on detailed biophysical, socioeconomic, and institutional factors for each biome in Brazil, we have created spatially explicit scenarios until 2050, considering the following classes: forest vegetation, grassland vegetation, planted pasture, agriculture, a mosaic of small land uses, and forestry. The results aim to detail global models regionally. They could be used regionally to support decision-making and enrich the global analysis.

摘要

巴西土地利用和覆盖变化的未来,特别是由于森林砍伐和森林恢复过程,对全球气候和生物多样性的未来至关重要,因为巴西拥有丰富的五个生物群落。这些变化取决于巴西在全球因素之间的相互联系,因为它是全球主要商品出口国之一,以及国家到地方的制度、社会经济和生物物理背景。为了制定考虑到全球因素(如 GDP 增长、人口增长、农产品人均消费、国际贸易政策和气候条件)和地方因素(如土地利用、土地结构、农业适宜性、保护区、到道路的距离和其他基础设施项目)之间平衡的情景,开发了一套新的巴西土地利用变化情景,这些情景与全球变化研究界制定的全球结构共享社会经济途径(SSP)和代表性浓度途径(RCP)一致。新情景的叙述与 SSP1/RCP 1.9(可持续发展情景)、SSP2/RCP 4.5(中等道路情景)和 SSP3/RCP 7.0(强不平等情景)一致。这些情景是通过结合 LuccME 空间明确的土地变化分配建模框架和 INLAND 表面模型开发的,以将气候变量纳入水分不足中。基于巴西每个生物群落的详细生物物理、社会经济和制度因素,我们创建了到 2050 年的空间明确情景,考虑了以下类别:森林植被、草原植被、人工草地、农业、小土地用途的镶嵌体和林业。结果旨在详细说明区域全球模型。它们可以在区域内用于支持决策并丰富全球分析。

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