The Economic Case for Nature

Johnson, Justin A.; Ruta, Giovanni; Baldos, Uris Lantz C.; Cervigni, Raffaello; Chonabayashi, Shun; Corong, Erwin; Gavryliuk, Olga; Gerber, James; Hertel, Thomas W.; Nootenboom, Christopher; Polasky, Stephen

doi:10.1596/35882

Cited by 38 publications

(11 citation statements)

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“…Urban cluster areas extracted for the SEA region in the adopted model (Johnson et al, 2020; Figure 1A) were close, ranging between "2% in SSP3 to 50% in SSP5", to the (Gao and O'Neill, (2020)) reported model values (Supplementary Table S2). The rate of increase between 2015 and respective 2050 SSP scenarios were very similar between the two land use change models, within (+/−) 25% difference, except for the SSP1 scenario (71%, Supplementary Table S2).…”

Section: Ssp Dataset Comparisonmentioning

confidence: 58%

“…The primary LULC dataset used in this study was created by downscaling land-use change data from the Land Use Harmonization 2 (LUH2) Integrated Assessment Model datasets (Hurtt et al, 2020). The LUH2 data are reported at 30 km resolution, which is too coarse for our study, so we used downscaled versions of the LUH2 data that provided 10 arcsecond (approximately 300 m at the equator) resolution LULC maps for each SSP scenario using the Spatial Economic Allocation Landscape Simulator (SEALS) model, documented in Johnson et al (2020); Suh et al (2020); Johnson et al (2021). The LULC dataset we created is one of the few publicly available high-resolution products, allowing a finer understanding of LULC transition of seven major classes (water, forest, grassland, cropland, urban, barren and nonforested vegetation).…”

Section: Lulc Change Analysis Within Urban Clustersmentioning

confidence: 99%

“…Note that the (Gao and O'Neill, 2020) dataset had projections (SSP scenarios) for year 2015. However, for Chen et al (2020) and Johnson et al (2020), the base data year was 2015. Also, of note the results for Singapore have not been included in the following sections considering the non-comprehensive LULC data coverage for Singapore urban cluster.…”

Section: Lulc Change Analysis Within Urban Clustersmentioning

confidence: 99%

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Carbon storage and sequestration in Southeast Asian urban clusters under future land cover change scenarios (2015–2050)

Kamarajugedda

Johnson

McDonald

et al. 2023

Front. Environ. Sci.

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Land-use land-cover (LULC) changes are occurring rapidly in Southeast Asia (SEA), generally associated with population growth, economic development and competing demands for land. Land cover change is one of the vital factors affecting carbon dynamics and emissions. SEA is an important region to study urban-caused LULC emissions and the potential for nature-based solutions (NBS) and nature climate solutions (NCS), as it is home to nearly 15% of the world’s tropical forests and has some of the world’s fastest rates of urban growth. We present a fine-scale urban cluster level assessment for SEA of current (2015) and future (2050) scenarios for carbon sequestration service and climate mitigation potential. We identified 956 urban clusters distributed across 11 countries of SEA. Considering the urban expansion projected and decline in forests, this region could see a carbon loss of up to 0.11 Gigatonnes (Scenario SSP4 RCP 3.4). Comparing carbon change values to urban emissions, we found that the average offset value ranging from −2% (Scenario SSP1 RCP 2.6) to −21%. We also found that a few medium and large urban clusters could add to more than double the existing carbon emissions in 2050 in the SSP3 and SSP4 RCP 3.4 scenarios, while a minority of clusters could offset their emissions under SSP1. Our study confirms that NCS, and particularly reforestation, are in many cases able to offset the direct emissions from land cover conversion from SEA urban clusters. Hence, documenting the plausible LULC transitions and the associated impacts gains significance in the SEA region as the results can be useful for informing policy and sustainable land management.

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Section: Ssp Dataset Comparisonmentioning

confidence: 58%

Section: Lulc Change Analysis Within Urban Clustersmentioning

confidence: 99%

Section: Lulc Change Analysis Within Urban Clustersmentioning

confidence: 99%

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Carbon storage and sequestration in Southeast Asian urban clusters under future land cover change scenarios (2015–2050)

Kamarajugedda

Johnson

McDonald

et al. 2023

Front. Environ. Sci.

Self Cite

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“…Crucially, such mapping exercises are increasingly being linked to the economic implications of losing nature that supports NCP delivery (e.g. Johnson et al, 2021). Such studies also reveal that priority areas for NCP delivery in support of dependent Targets are widespread (e.g.…”

Section: Map the Nature People Needmentioning

confidence: 99%

Make nature's role visible to achieve the SDGs

et al. 2022

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Non-technical summary Implicit in the UN's Sustainable Development Goal (SDG) Agenda is the notion that environmental sustainability is intertwined with, and underpins, the 17 Goals. Yet the language of the Goals, and their Targets and indicators is blind to the myriad ways in which nature supports people's health and wealth – which we argue represents a key impediment to progress. Using examples of nature–human wellbeing linkages, we assess the language of all 169 Targets to identify urgent research, policy, and action needed to spotlight and leverage nature's foundational role, to help enable truly sustainable development for all. Technical summary Nature's foundational role in helping achieve the SDGs is implicit rather than explicit in the language of SDGs Goals, Targets, and indicators. Drawing from the scientific literature describing how nature underpins human wellbeing, we carry out a systematic assessment of the language of all 169 Targets, categorizing which Targets are dependent upon nature for their achievement, could harm nature if attained through business-as-usual actions, or may synergistically benefit nature through their attainment. We find that half are dependent upon nature for their achievement – yet for more than two-thirds of those nature's role goes unstated and risks being downplayed or ignored. Moreover, while achieving the overwhelming majority of the 169 Targets could potentially benefit nature, more than 60% are likely to deliver ‘mixed outcomes’ – benefitting or harming nature depending on how they're achieved. Furthermore, of the 241 official indicators <5% track nature's role in achieving the parent Target. Our analysis provides insights important for increasing effectiveness across the SDG agenda regarding where to invest, how to enhance synergies and limit unanticipated impacts, and how to measure success. It also suggests a path for integrating the ‘nature that people need’ to achieve the SDGs into the CBD's post-2020 Global Biodiversity Framework. Social media summary Harmonizing links between the SDGs and the CBD's post-2020 Global Biodiversity Framework is vital for promoting sustainable development

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“…Modelling draws on the information from NCA to explore possible futures and policy applications. NCA and modelling have been combined in various ways to assess future impacts of alternative development pathways (Bassi 2021 ; Johnson et al 2021 ). Several examples of using models with NCA make the case for investment in natural capital and ecosystem services (Collste et al 2017 ; World Bank 2021c ).…”

Section: Natural Capital Accountingmentioning

confidence: 99%

From COVID-19 to Green Recovery with natural capital accounting

Vardon

Lucas

Bass

et al. 2022

Ambio

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The COVID-19 pandemic and related social and economic emergencies induced massive public spending and increased global debt. Economic recovery is now an opportunity to rebuild natural capital alongside financial, physical, social and human capital, for long-term societal benefit. Yet, current decision-making is dominated by economic imperatives and information systems that do not consider society’s dependence on natural capital and the ecosystem services it provides. New international standards for natural capital accounting (NCA) are now available to integrate environmental information into government decision-making. By revealing the effects of policies that influence natural capital, NCA supports identification, implementation and monitoring of Green Recovery pathways, including where environment and economy are most positively interlinked.

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The Economic Case for Nature

Cited by 38 publications

References 0 publications

Carbon storage and sequestration in Southeast Asian urban clusters under future land cover change scenarios (2015–2050)

Carbon storage and sequestration in Southeast Asian urban clusters under future land cover change scenarios (2015–2050)

Make nature's role visible to achieve the SDGs

From COVID-19 to Green Recovery with natural capital accounting

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