Evaluation of Data Visualisation Options for Land-Use Policy and Decision Making in Response to Climate Change

2013 ◽  
Vol 40 (2) ◽  
pp. 213-233 ◽  
Author(s):  
Ian D Bishop ◽  
Christopher J Pettit ◽  
Falak Sheth ◽  
Subhash Sharma
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
Land Use ◽  
Land Use Policy ◽  
Data Visualisation ◽  
Evaluation Of Data

Land use policy as a driver for climate change adaptation: A case in the domain of the Brazilian Atlantic forest

2018 ◽  
Vol 72 ◽  
pp. 563-569 ◽  
Author(s):  
Camila Linhares Rezende ◽  
Joana Stingel Fraga ◽  
Juliana Cabral Sessa ◽  
Gustavo Vinagre Pinto de Souza ◽  
Eduardo Delgado Assad ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Climate Change Adaptation ◽  
Atlantic Forest ◽  
Land Use Policy ◽  
Brazilian Atlantic Forest

scholarly journals Um welchen Schutz der Vielfalt geht es? (Essay) | Which diversity is to be protected? (Essay)

2010 ◽  
Vol 161 (8) ◽  
pp. 291-294
Author(s):  
Mario F. Broggi
Keyword(s):  
Climate Change ◽  
Genetic Diversity ◽  
Land Use ◽  
Sustainable Development ◽  
Ecosystem Services ◽  
Ecological Footprint ◽  
Land Use Policy ◽  
Strong Focus ◽  
Land Use Policies ◽  
The Moment

In order to operationalise the concept of biodiversity for biological variety, it has been applied at three levels: ecosystems, species and genetic diversity. In most cases the debate has been reduced to the aspect of the variety of species, ignoring the fact that the interactions are considerably more complex. In order to do justice to our responsibility for diversity, further efforts are needed, which could be subsumed under the heading “sustainable development”. At the moment, however, our ecological footprint is clearly too big. A strong focus must therefore be placed on such ecosystem services as fertility of the soil, carbon sequestration, maintenance of the hydrological balance, etc. That ultimately leads to economic arguments, which in turn will have massive impacts on current land use policies. Climate change and the increasing cultivation of biofuels are creating new effects, whose impacts on biodiversity were until recently unforeseeable. The underlying message must accordingly be that in the biodiversity debate we must focus on the landscape as such and an appropriate land use policy.

scholarly journals A framework for the cross-sectoral integration of multi-model impact projections: land use decisions under climate impacts uncertainties

2015 ◽  
Vol 6 (2) ◽  
pp. 447-460 ◽  
Author(s):  
K. Frieler ◽  
A. Levermann ◽  
J. Elliott ◽  
J. Heinke ◽  
A. Arneth ◽  
...  
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
Land Use ◽  
Climate Change Mitigation ◽  
Large Scale ◽  
Impact Model ◽  
Natural Carbon ◽  
Change Mitigation ◽  
Biome Model

Abstract. Climate change and its impacts already pose considerable challenges for societies that will further increase with global warming (IPCC, 2014a, b). Uncertainties of the climatic response to greenhouse gas emissions include the potential passing of large-scale tipping points (e.g. Lenton et al., 2008; Levermann et al., 2012; Schellnhuber, 2010) and changes in extreme meteorological events (Field et al., 2012) with complex impacts on societies (Hallegatte et al., 2013). Thus climate change mitigation is considered a necessary societal response for avoiding uncontrollable impacts (Conference of the Parties, 2010). On the other hand, large-scale climate change mitigation itself implies fundamental changes in, for example, the global energy system. The associated challenges come on top of others that derive from equally important ethical imperatives like the fulfilment of increasing food demand that may draw on the same resources. For example, ensuring food security for a growing population may require an expansion of cropland, thereby reducing natural carbon sinks or the area available for bio-energy production. So far, available studies addressing this problem have relied on individual impact models, ignoring uncertainty in crop model and biome model projections. Here, we propose a probabilistic decision framework that allows for an evaluation of agricultural management and mitigation options in a multi-impact-model setting. Based on simulations generated within the Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP), we outline how cross-sectorally consistent multi-model impact simulations could be used to generate the information required for robust decision making. Using an illustrative future land use pattern, we discuss the trade-off between potential gains in crop production and associated losses in natural carbon sinks in the new multiple crop- and biome-model setting. In addition, crop and water model simulations are combined to explore irrigation increases as one possible measure of agricultural intensification that could limit the expansion of cropland required in response to climate change and growing food demand. This example shows that current impact model uncertainties pose an important challenge to long-term mitigation planning and must not be ignored in long-term strategic decision making.

Sustainable Land Use and Watershed Management in Response to Climate Change Impacts

2011 ◽  
pp. 328-348
Author(s):  
Nguyen Kim Loi
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
Land Use ◽  
Watershed Management ◽  
Climate Change Impacts ◽  
Sustainable Land Use ◽  
Management Approach ◽  
Global Changes ◽  
Paradigm Shifts ◽  
Methodology Development

With the changes in climatic, biophysical, socio-cultural, economic, and technological components, paradigm shifts in natural resources management are unavoidably and have to be adapted/modified to harmonize with the global changes and the local communities’ needs. This chapter focuses on sustainable land use and watershed management in response to climate change impacts. The first part covers some definitions and background on sustainable land use, watershed management approach, and sustainable watershed management. The second part describes the use of the Geographic Information System (GIS) and Spatial Decision Support System (SDSS) model focusing on the framework for a planning and decision making, computer-based system for supporting spatial decisions. The mathematical programming has been reviewed focusing on optimization algorithms that include optimization modeling and simulation modeling for decision making. Finally, the example of methodology development for sustainable land use and watershed management in response to climate change in Dong Nai watershed, Vietnam is presented.

Sustainable Land Use and Watershed Management in Response to Climate Change Impacts

2013 ◽  
pp. 2080-2101
Author(s):  
Nguyen Kim Loi
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
Land Use ◽  
Watershed Management ◽  
Climate Change Impacts ◽  
Sustainable Land Use ◽  
Management Approach ◽  
Global Changes ◽  
Paradigm Shifts ◽  
Methodology Development

With the changes in climatic, biophysical, socio-cultural, economic, and technological components, paradigm shifts in natural resources management are unavoidably and have to be adapted/modified to harmonize with the global changes and the local communities’ needs. This chapter focuses on sustainable land use and watershed management in response to climate change impacts. The first part covers some definitions and background on sustainable land use, watershed management approach, and sustainable watershed management. The second part describes the use of the Geographic Information System (GIS) and Spatial Decision Support System (SDSS) model focusing on the framework for a planning and decision making, computer-based system for supporting spatial decisions. The mathematical programming has been reviewed focusing on optimization algorithms that include optimization modeling and simulation modeling for decision making. Finally, the example of methodology development for sustainable land use and watershed management in response to climate change in Dong Nai watershed, Vietnam is presented.

Presenting hydrological and data driven flood simulation-prediction methods to develop a decision-making model

2020 ◽  
Author(s):  
Mohammad Zare ◽  
Guy Schumann ◽  
Felix Norman Teferle ◽  
Patrick Matgen ◽  
Paul D. Bates
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
Land Use ◽  
Flash Floods ◽  
Flood Protection ◽  
Data Driven ◽  
Flood Simulation ◽  
Protection Measures ◽  
Spatial Decision Making ◽  
Decision Making Model

<p>Flooding is the number one natural disaster in terms of insured and uninsured losses annually. The development of reliable methods for flood simulation have greatly improved our ability to predict floods thereby reducing damages and loss of life in flood-prone regions. However, there is still a lot of room for improvement and innovation to provide better predictions, especially for flash floods, particularly in urban areas  This is addressed in the present study, the goal of which it is to improve simulation and prediction of flash floods and to develop a spatial decision-making model for implementing flood protection measures. In this regard, different approaches for flood simulation and flood protection should be applied. The proposed methodology links flood hazard modeling, remote sensing and machine learning methods. Combining these physical models and data driven methods will result in a more reliable hybrid model that can be employed for prediction of (flash) floods and event analysis. In order to achieve the research goal of present study we: i) add more functionality to a hydrodynamic model code; ii) complement the latter with data driven methods ;iii) develop a spatial decision-making model framework for defining flood protection measures, iv) validate process-based and data driven methods, and finally v) cross-evaluate Light Detection And Radar (LiDAR) topography with available local super-resolution drone data to assess the ability to incorporate local flood defenses into the models. The most important outcome is the creation of valuable flood maps in areas where it matters - while accounting for effects of land use and climate change. This will serve scientists as well as land and risk management authorities with better actionable flood risk information in locations where people and assets are located and in danger. It also develops innovative methodologies for estimating the changing risk from flash floods based on land use scenarios and climate change projections. Moreover, developing spatial multi-criteria decision making (SMCDM) can help decision makers to determine suitable locations and methods for flood protection measures. These methods will be particularly valuable in the context of solving current challenges of accounting for and mitigating flash floods and the effects of climate change.</p>

scholarly journals Consolidation of Stakeholders' Initiatives to Mitigate Adverse Impacts of Climate Change in Nepalese Context

2013 ◽  
Vol 12 ◽  
pp. 1-9
Author(s):  
Rabindra Man Tamrakar
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Land Use Changes ◽  
Land Use Policy ◽  
Land Policy ◽  
Fiscal Year ◽  
Climate Change Effects ◽  
Mitigation And Adaptation ◽  
The Government ◽  
Impacts Of Climate Change

Although Nepal contributes very low emissions of Greenhouse Gases (GHGs) compared to the developed nations, it is the fourth most vulnerable country in the world due to the effects of climate change. These effects have already lead to more natural disasters, loss of biodiversity, increase in mountain snow melt, uncertainty in precipitation, shortage of food, water and energy etc. resulting in devastating impacts on the life of people living in both mountain and plain areas. Climate change therefore is the vital issue in the country. Understanding the potential impacts of climate change, Government of Nepal since last two decades has taken significant initiatives in response to the effects of climate change including the participations in international conventions, the approval of Climate Change National Policy 2067 (2010), and establishment of a high level Climate Change Council (CCC) under the chairmanship of the Rt. Hon'ble Prime Minister of Nepal. In addition, The Ministry of Environment, Science and Technology (MoEST), being the National Designated Authority (DNA) in Nepal for United Nation Framework Convention on Climate Change (UNFCCC), has executed several programmes and projects related to mitigation and adaptation of climate change effects including Clean Development Mechanism (CDM) projects and National Adaptation Programme of Action (NAPA). International Nongovernmental Organizations such as UNFCCC, DANIDA, DFID, UNEP, UNDP, UN-HABITAT, World Bank, Food and Agricultural Organization (FAO), Asian Development Bank (ADB) etc. as well have carried out numerous climate change projects and activities in Nepal in conjunction with various government agencies.Studies have revealed that the major sources of GHGs are from the burning of fossil fuel (75%), land use changes (20%), and other sources (5%). It has also been postulated that the effects of climate change can be significantly reduced through the implementation of land use policy and activities. Ministry of Land Reform and Management (MoLRM), Government of Nepal (GoN) is the central agency in Nepal dealing with the formulation and implementation of land related policies and activities in the country. MoLRM has commenced to formulate the National Land Policy and has planned to complete it at the end of fiscal year 069/70. This policy will definitely assist in mitigating the effects of climate change in the country. Another essential policy for the mitigation of the impacts of climate change in the country is National Land Use Policy which was prepared by MoLRM and has been approved by GoN in 2012, but it is yet to be implemented. One of the important policies that it has focussed on for the mitigation of climate change effects is to increase the present forest coverage to 40% of the total area of the country while protecting the government land by forestation and plantation programmes on degraded lands. Nepalese Journal on Geoinformatics -12, 2070 (2013AD): 1-9

scholarly journals Climate Change, Regional Water Balance and Land Use Policy, in the Watershed of Lake Kinneret (Israel)

2020 ◽  
Vol 10 (04) ◽  
pp. 200-224 ◽  
Author(s):  
Moshe Gophen ◽  
Moshe Meron ◽  
Valerie Levin-Orlov ◽  
Yosef Tsipris ◽  
Mordechay Peres
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Water Balance ◽  
Land Use Policy ◽  
Lake Kinneret ◽  
Regional Water

A Machine Learning Sustainable Development Goals Model for Water Resources Serious Gaming. Case Study:  Combeima River, Colombia.

2021 ◽  
Author(s):  
Laura Viviana Garzon Useche ◽  
Karel Aldrin Sánchez Hernández ◽  
Gerald Augusto Corzo Pérez ◽  
German Ricardo Santos Granados
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
Land Use ◽  
Sustainable Development ◽  
Sustainable Development Goals ◽  
Climate Adaptation ◽  
Complex Model ◽  
Mobile App ◽  
Climate Change Scenarios ◽  
Development Goals

<p>The importance of knowing and representing rural and urban development in water management is vital for its sustainability.  An essential part of the management required that stakeholders are more aware of the consequences of decisions and in some way, can link decisions towards sustainability.  For this, a mobile app serious game called Water Citizens has been proposed as knowledge dissemination and to provide a better understanding of the way decisions affect Sustainable Development Goals (SDGs). A complex model of a pilot region (Combeima in Ibague, Colombia) has been developed, and the model results are few into equations to estimate fluctuations of SDGs in the region. Running this complex model in real-time, for a mobile application, requires an extensive high-performance computing system linked to large and complex network setup. To solve this problem, a fast yet accurate surrogate model is proposed.</p><p>Therefore, this study contemplates an analysis of methods to forecast sustainable development indicators evaluated through climate change scenarios for a period between 1989-2039. The proposed scenarios associated the public health, livestock, agriculture, engineering, education and environment sectors with climate variables, climate change projections, land cover and land use, water demands (domestic, agricultural and livestock) and water quality (BOD and TSS). Generating the possibility that each player can make decisions that represent the actions that affect or contribute to the demand, availability and quality of water in the region.</p><p>Consequently, a set of indicators were selected to recreate the dimensions of each sector and reflect its relationship with the Sustainable Development Objectives, as opposed to the decisions made by each player. In addition, three categories were considered for the levels of sustainability: low (0.0 - 0.33), medium (0.34 - 0.66) and high (0.67 - 1.0) for the calculated SDG values. </p><p>Self-learning techniques have been employed in the analysis of decision-making problems. In this study, the nearest K neighbours (k-NN) and a multilayer perceptron network (MLP) were used. Through an analysis based on the responses of the players and sustainability indexes, a multiple correlation analysis was developed in order to consolidate the learning dataset, which was randomly partitioned in proportions 0.7 and 0.3 for the training and test subsets respectively. Subsequently, the model fit and performance was carried out, analysing the MSE error metric and confusion matrix.</p><p>Finally, the results of this study will allow to determine the potential of supervised learning models as a decision-making tool for the evaluation of sustainable development, as well as to obtain a better abstraction and representation of the water resource to the challenges related to climate adaptation and water sustainability measures of citizen action, besides generating new approaches for the use of artificial intelligence in land use planning and climate adaptation processes.</p>

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