Harmonization of global land use change and management for the period 850–2100 (LUH2) for CMIP6

地球系统科学 协调 耦合模型比对项目 土地利用 气候变化 土地管理 环境资源管理 环境科学 土地利用、土地利用的变化和林业 气候模式 温室气体 生态学 声学 生物 物理
作者
George Hurtt,L. P. Chini,Ritvik Sahajpal,Steve Frolking,Benjamin Leon Bodirsky,Katherine Calvin,Jonathan Doelman,J. Fisk,Shinichiro Fujimori,Kees Klein Goldewijk,Tomoko Hasegawa,Peter Havlík,Andreas Heinimann,Florian Humpenöder,J. Jungclaus,Jed O. Kaplan,Jennifer A. Kennedy,Tamás Krisztin,David M. Lawrence,David M. Lawrence,Lei Ma,Ole Mertz,Julia Pongratz,Alexander Popp,Benjamin Poulter,Keywan Riahi,Elena Shevliakova,Elke Stehfest,P. E. Thornton,Francesco N. Tubiello,Detlef P. van Vuuren,Zhang Xin
出处
期刊:Geoscientific Model Development 卷期号:13 (11): 5425-5464 被引量:446
标识
DOI:10.5194/gmd-13-5425-2020
摘要

Abstract. Human land use activities have resulted in large changes to the biogeochemical and biophysical properties of the Earth's surface, with consequences for climate and other ecosystem services. In the future, land use activities are likely to expand and/or intensify further to meet growing demands for food, fiber, and energy. As part of the World Climate Research Program Coupled Model Intercomparison Project (CMIP6), the international community has developed the next generation of advanced Earth system models (ESMs) to estimate the combined effects of human activities (e.g., land use and fossil fuel emissions) on the carbon–climate system. A new set of historical data based on the History of the Global Environment database (HYDE), and multiple alternative scenarios of the future (2015–2100) from Integrated Assessment Model (IAM) teams, is required as input for these models. With most ESM simulations for CMIP6 now completed, it is important to document the land use patterns used by those simulations. Here we present results from the Land-Use Harmonization 2 (LUH2) project, which smoothly connects updated historical reconstructions of land use with eight new future projections in the format required for ESMs. The harmonization strategy estimates the fractional land use patterns, underlying land use transitions, key agricultural management information, and resulting secondary lands annually, while minimizing the differences between the end of the historical reconstruction and IAM initial conditions and preserving changes depicted by the IAMs in the future. The new approach builds on a similar effort from CMIP5 and is now provided at higher resolution (0.25∘×0.25∘) over a longer time domain (850–2100, with extensions to 2300) with more detail (including multiple crop and pasture types and associated management practices) using more input datasets (including Landsat remote sensing data) and updated algorithms (wood harvest and shifting cultivation); it is assessed via a new diagnostic package. The new LUH2 products contain > 50 times the information content of the datasets used in CMIP5 and are designed to enable new and improved estimates of the combined effects of land use on the global carbon–climate system.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
林上草应助123采纳,获得10
刚刚
科目三应助AoiNG采纳,获得10
刚刚
1秒前
orixero应助雪白涵山采纳,获得20
1秒前
123发布了新的文献求助10
2秒前
ajing完成签到,获得积分10
2秒前
537完成签到,获得积分10
2秒前
2秒前
3秒前
清醒的ZY完成签到,获得积分10
3秒前
yxf发布了新的文献求助10
4秒前
大个应助叫滚滚采纳,获得10
4秒前
4秒前
Rui发布了新的文献求助10
5秒前
5秒前
China发布了新的文献求助10
5秒前
5秒前
ryze完成签到,获得积分10
5秒前
6秒前
6秒前
6秒前
6秒前
6秒前
莉莉发布了新的文献求助10
7秒前
8秒前
8秒前
辣辣完成签到,获得积分10
8秒前
桐桐应助白华苍松采纳,获得10
8秒前
华仔应助啊嚯采纳,获得10
8秒前
yasan完成签到,获得积分10
8秒前
9秒前
Fsy完成签到,获得积分10
9秒前
万能图书馆应助China采纳,获得10
9秒前
杨欢完成签到,获得积分10
9秒前
Stanley发布了新的文献求助10
9秒前
哭泣爆米花完成签到,获得积分10
10秒前
10秒前
10秒前
10秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527723
求助须知:如何正确求助?哪些是违规求助? 3107826
关于积分的说明 9286663
捐赠科研通 2805577
什么是DOI,文献DOI怎么找? 1539998
邀请新用户注册赠送积分活动 716878
科研通“疑难数据库(出版商)”最低求助积分说明 709762