What are the effects of Agro-Ecological Zones and land use region boundaries on land resource projection using the Global Change Assessment Model?

Vittorio, A. V. Di; Kyle, Page; Collins, William D.

doi:10.1016/j.envsoft.2016.08.016

Cited by 15 publications

(12 citation statements)

References 54 publications

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“…AEZ-based stratification methods were used to divide the study area into more homogeneous regions in previous research such as simulating crop yield potentials [42], global change assessment the [43] and climate change [44] projects. Therefore, AEZ-based stratification method will also help to divide different continents into homogeneous regions to implement the assessment strategy required to assess the cropland extent maps [45].…”

Section: Stratificationmentioning

confidence: 99%

Issues with Large Area Thematic Accuracy Assessment for Mapping Cropland Extent: A Tale of Three Continents

Yadav

Congalton

2017

Remote Sensing

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Accurate, consistent and timely cropland information over large areas is critical to solve food security issues. To predict and respond to food insecurity, global cropland products are readily available from coarse and medium spatial resolution earth observation data. However, while the use of satellite imagery has great potential to identify cropland areas and their specific types, the full potential of this imagery has yet to be realized due to variability of croplands in different regions. Despite recent calls for statistically robust and transparent accuracy assessment, more attention regarding the accuracy assessment of large area cropland maps is still needed. To conduct a valid assessment of cropland maps, different strategies, issues and constraints need to be addressed depending upon various conditions present in each continent. This study specifically focused on dealing with some specific issues encountered when assessing the cropland extent of North America (confined to the United States), Africa and Australia. The process of accuracy assessment was performed using a simple random sampling design employed within defined strata (i.e., Agro-Ecological Zones (AEZ's) for the US and Africa and a buffer zone approach around the cropland areas of Australia. Continent-specific sample analysis was performed to ensure that an appropriate reference data set was used to generate a valid error matrix indicative of the actual cropland proportion. Each accuracy assessment was performed within the homogenous regions (i.e., strata) of different continents using different sources of reference data to produce rigorous and valid accuracy results. The results indicate that continent-specific modified assessments performed for the three selected continents demonstrate that the accuracy assessment can be easily accomplished for a large area such as the US that has extensive availability of reference data while more modifications were needed in the sampling design for other continents that had little to no reference data and other constraints. Each continent provided its own unique challenges and opportunities. Therefore, this paper describes a tale of these three continents providing recommendations to adapt accuracy assessment strategies and methodologies for validating global cropland extent maps.

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Section: Stratificationmentioning

confidence: 99%

Issues with Large Area Thematic Accuracy Assessment for Mapping Cropland Extent: A Tale of Three Continents

Yadav

Congalton

2017

Remote Sensing

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“…While the development of Moirai's core has been presented by [5], Moirai itself is an updated version that provides additional outputs, an updated spatial foundation, a new land cover basis, and more flexibility in terms of desired GLUs and output years. Therefore, we provide an updated description of Moirai's implementation here.…”

Section: Data Processingmentioning

confidence: 99%

“…Model development during this time has had to either align with this particular spatial configuration of the data or implement complex ways of mapping these data to native grids. Recently, Di Vittorio et al [5] have shown that AEZs do not necessarily confer the desired spatial benefits of homogeneity and are not compatible with watershed-based modules that are being used to provide water runoff and accessibility to multisectoral models.…”

Section: Introductionmentioning

confidence: 99%

Moirai Version 3: A Data Processing System to Generate Recent Historical Land Inputs for Global Modeling Applications at Various Scales

Vittorio¹,

Vernon²,

Shu³

2020

JORS

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The Moirai land data system, written in C and R, is designed to produce recent historical land inputs for an integrated human-Earth systems model. The primary function of Moirai is to combine spatially explicit input data (e.g., raster images) with tabular input data (e.g., crop price table) to generate spatiallyreferenced tabular data of crop production, crop harvested area, land value, irrigated and rainfed crop area, water footprint, soil and vegetation carbon density of unmanaged land, and historical land use/cover. These data are aggregated to user-defined geographic boundaries within 231 countries and the default boundaries are defined globally by 235 watersheds. The production, harvested area, and land value outputs reconstruct those available from the Global Trade Analysis Project, while the other outputs provide additional information for various applications, such as initializing or evaluating a land use change model or an economic general/partial equilibrium model. Furthermore, Moirai is a modular system that can be updated and customized through replacement and addition of source data.

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“…However, the variability between management activities and land cover types can lead to a large combination of outcomes, and the delineation of these units directly contributes to projection uncertainty (Di Vittorio et al, 2016). Such 20 compromises are expected to have a minimal effect at the global scale, but locally the effect may prove to be substantial, and is challenging to evaluate.…”

Section: Lessons Learnedmentioning

confidence: 99%

Modelling feedbacks between human and natural processes in the land system

Robinson¹,

Vittorio²,

Alexander³

et al. 2017

Preprint

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The unprecedented use of Earth's resources by humans, in combination with the increasing natural variability in natural processes over the past century, is affecting evolution of the Earth system. To better understand natural processes and their potential future trajectories requires improved integration with 5 and quantification of human processes. Similarly, to mitigate risk and facilitate socio-economic development requires a better understanding of how the natural system (e.g., climate variability and change, extreme weather events, and processes affecting soil fertility) affects human processes. To capture and formalize our understanding of the interactions and feedback between human and natural systems a variety of modelling approaches are used. While integrated assessment models are widely 10 recognized as supporting this goal and integrating representations of the human and natural system for global applications, an increasing diversity of models and corresponding research have focused on coupling models specializing in specific human (e.g., decision-making) or natural (e.g., erosion) processes at multiple scales. Domain experts develop these specialized models with a greater degree of detail, accuracy, and transparency, with many adopting open-science norms that use new technology for 15 model sharing, coupling, and high performance computing. We highlight examples of four different approaches used to couple representations of the human and natural system, which vary in the processes represented and in the scale of their application. The examples illustrate how groups of researchers have attempted to overcome the lack of suitable frameworks for coupling human and natural systems to answer questions specific to feedbacks between human and natural systems. We draw from these 20 examples broader lessons about system and model coupling and discuss the challenges associated with maintaining consistency across models and representing feedback between human and natural systems in coupled models.Earth Syst. Dynam. Discuss., https://doi

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What are the effects of Agro-Ecological Zones and land use region boundaries on land resource projection using the Global Change Assessment Model?

Cited by 15 publications

References 54 publications

Issues with Large Area Thematic Accuracy Assessment for Mapping Cropland Extent: A Tale of Three Continents

Issues with Large Area Thematic Accuracy Assessment for Mapping Cropland Extent: A Tale of Three Continents

Moirai Version 3: A Data Processing System to Generate Recent Historical Land Inputs for Global Modeling Applications at Various Scales

Modelling feedbacks between human and natural processes in the land system

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