Land cover map of Delaware (U.S.A.): 2016 (Latitude: 38° 27′ N to 39° 50′ N; Longitude: 75° 3′ W to 75° 47′ W) (based on data from (MRLC n.d.)).

Land cover map of Delaware (U.S.A.): 2016 (Latitude: 38° 27′ N to 39° 50′ N; Longitude: 75° 3′ W to 75° 47′ W) (based on data from (MRLC n.d.)).

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Delaware’s (DE) Climate Action Plan lays out a pathway to reduce greenhouse gas (GHG) emissions by at least 26% by 2025 but does not consider soil-based GHG emissions from land conversions. Consequently, DE’s climate action plan fails to account for the contribution of emissions from ongoing land development economic activity to climate change. Sou...

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Context 1
... experienced changes in land use/land cover (LULC) over the 15-year period from 2001 to 2016 (Table 11 and Figure 3), which resulted in GHG emissions from soils. Changes varied by soil order and original LULC classification, with most soil orders experiencing area losses in "low disturbance" LULC classes (e.g., evergreen forest, hay/pasture) while gaining in the areas of "developed" LULC classes. ...
Context 2
... experienced changes in land use/land cover (LULC) over the 15−year period from 2001 to 2016 (Table 11, 12, 13, Figures 3, 4), which resulted in GHG emissions from soils. Changes varied by soil order and original LULC classification, with most soil orders experiencing area losses in "low disturbance" LULC classes (e.g., evergreen forest, hay/pasture) while gaining in the areas of "developed" LULC classes. ...
Context 3
... level rise will have a dramatic impact on many coastal communities in DE (Figure 4b), causing human and infrastructure damages with the forced relocation of both people and infrastructure. The cost of damages associated with sea-level rise will be dramatically higher than the estimated realized social costs of C (Figure 4a) because of the high density of human development in coastal areas (Figure 3). ...

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... It is important to quantify these past losses in order to understand the magnitude and geospatial distribution of these losses to avoid unsustainable development in the future. This research demonstrated a method to quantify and map these losses, which can be used in climate change attribution science to address loss and damage (L&D) and other issues (e.g., equity, fairness, justice, etc.) [46,47]. ...
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Land, including soil resources, makes important contributions to the United Nations (UN) Sustainable Development Goals (SDGs). However, there are challenges in identifying land/soil measurable information (e.g., indicators, metrics, etc.) to monitor the progress toward achieving these goals. This study examines the role of land/soil in selected SDGs (SDG 2: Zero Hunger; SDG 12: Responsible Consumption and Production; SDG 13: Climate Action; SDG 15: Life on Land) and provides practical examples on how to use geospatial analysis to track relevant qualitative and quantitative land/soil data using the contiguous United States of America (USA) as a case study. The innovative aspect of this study leverages geospatial technologies to track the intersection of land use/ land cover (LULC) change and soil resources to quantify development trends within the overall land cover matrix to evaluate if these trends are sustainable. Classified land cover data derived from satellite-based remote sensing were used to identify the extent of developed areas in 2016 and the change in development areas since 2011. Most land development through time in the USA has caused losses (area loss of nearly 355,600 km2, with projected midpoint losses of about 5.7 × 1012 kg total soil carbon (TSC) and about $969B (where B = billion = 109, USD) in social costs of carbon dioxide emissions, SC-CO2). All ten soil orders present in the contiguous USA experienced losses from developments, which represents a loss for both biodiversity and soil diversity (pedodiversity). The contiguous USA experienced an increase in land/soil consumption between 2001 and 2016 at the expense of deciduous forest (-3.1%), evergreen forest (-3.0%), emergent herbaceous wetlands (-0.6%), and hay/pasture (-7.9%). These “new” land developments (24,292.2 km2) caused a complete projected midpoint loss of 4.0 × 1011 kg TSC, equivalent to $76.1B SC-CO2. States with the largest developed areas and the highest TSC losses with associated SC-CO2 were Texas and Florida. The proposed methodology used in this study can be applied worldwide, at various spatial scales, to help monitor SDGs over time. With improved tools to monitor SDGs, progress on these SDGs may require linking the SDGs to existing or future international and national legal frameworks.
... According to Baldrich (2021) [36], the relatively new legal science of "attribution science is divided into three types: (1) source attribution, (2) climate attribution, and (3) impact attribution". Mikhailova et al. (2022) [37] demonstrated the importance of source attribution in "detecting and attributing sources of climate change impacts". Using the state of Delaware as an example, Mikhailova et al. (2022) [37] demonstrated a "methodology to determine the source attribution of soil-based GHG emissions linked to land cover change, which could be used for current or future impact attribution". ...
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