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Integrated land system modelling

综合土地系统建模

基本信息

批准号：
200894708
负责人：
Professor Dr. Thomas Berger
金额：
--
依托单位：
Fachgebiet Ökonomik der Landnutzung (490d)
依托单位国家：
德国
项目类别：
Research Units
财政年份：
2012
资助国家：
德国
起止时间：
2011-12-31 至 2019-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/200894708?language=en
关键词：
Integrated land system modelling

项目摘要

Various drivers affect the dynamics of land systems at the regional level and have therefore to be captured in land system modelling. Climate factors affect biophysical processes directly (for example, temperature and atmospheric CO2 change the rate of photosynthesis) and indirectly (for example, increasing temperature and change in precipitation alter the conditions for possible crop rotations and field work days, which affects the profitability of crop and livestock production). Nonclimate factors affect socio-economic processes through changes in policies and institutions and, most importantly, through the adjustments and adaptations of land users. Unfortunately, these drivers and impacts cannot easily be disentangled because they work interdependently, and certain processes, such as crop growth during flowering and fruiting, show strongly non-linear responses. Moreover, land users may succeed in compensating for some negative impacts on their livelihoods, while in other cases even exploiting and thereby increasing the positive impacts. This project links model components of the various projects in this research unit to investigate interactions and feedbacks between biophysical and socio-economic processes at high resolution. The objective is to assess the vulnerability and sensitivity of typical land systems in Southwest Germany and to explore suitable adaptation strategies to climate change.

各种驱动因素影响区域一级土地系统的动态，因此必须在土地系统建模中加以考虑。气候因素直接影响生物物理过程（例如，温度和大气二氧化碳改变光合作用速率）和间接影响（例如，温度升高和降水量变化改变可能的作物轮作和田间工作日的条件，从而影响作物的盈利能力）和牲畜生产）。非气候因素通过政策和体制的变化，最重要的是通过土地使用者的调整和适应，影响社会经济进程。不幸的是，这些驱动因素和影响并不容易解开，因为它们是相互依赖的，某些过程，如作物开花和结果期间的生长，表现出强烈的非线性反应。此外，土地使用者可能成功地补偿了对其生计的一些不利影响，而在其他情况下，甚至利用土地，从而增加了积极影响。该项目将该研究单位的各种项目的模型组成部分联系起来，以高分辨率调查生物物理和社会经济过程之间的相互作用和反馈。其目的是评估德国西南部典型土地系统的脆弱性和敏感性，并探讨适当的适应气候变化的战略。

项目成果

期刊论文数量（7）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Climate, energy and environmental policies in agriculture: Simulating likely farmer responses in Southwest Germany

DOI：
10.1016/j.landusepol.2015.01.028
发表时间：
2015-07
期刊：
Land Use Policy
影响因子：
7.1
作者：
C. Troost;T. Walter;T. Berger
通讯作者：
C. Troost;T. Walter;T. Berger

Dealing with Uncertainty in Agent‐Based Simulation: Farm‐Level Modeling of Adaptation to Climate Change in Southwest Germany

处理基于代理的模拟中的不确定性：德国西南部适应气候变化的农场级建模

DOI：
10.1093/ajae/aau076
发表时间：
2015
期刊：
Political Economy - Development: Environment eJournal
影响因子：
0
作者：
Troost;Berger
通讯作者：
Berger

Can smallholder farmers adapt to climate variability, and how effective are policy interventions? Agent-based simulation results for Ethiopia

DOI：
10.1111/agec.12367
发表时间：
2017-11-01
期刊：
AGRICULTURAL ECONOMICS
影响因子：
4.1
作者：
Berger, Thomas;Troost, Christian;Gbegbelegbe, Sika
通讯作者：
Gbegbelegbe, Sika

The biophysical and socio-economic dimension of yield gaps in the southern Amazon – A bio-economic modelling approach

DOI：
10.1016/j.agsy.2018.05.009
发表时间：
2018-09
期刊：
Agricultural Systems
影响因子：
6.6
作者：
A. Hampf;Marcelo Carauta;Evgeny Latynskiy;Affonso Libera;L. Monteiro;P. Sentelhas;C. Troost;T. Berger;C. Nendel
通讯作者：
A. Hampf;Marcelo Carauta;Evgeny Latynskiy;Affonso Libera;L. Monteiro;P. Sentelhas;C. Troost;T. Berger;C. Nendel

Agent-based Modelling of Climate Adaptation and Mitigation Options in Agriculture