Considering landscape-level processes in ecosystem service assessments

Metzger, Jean Paul; Villarreal‐Rosas, Jaramar; Suárez‐Castro, Andrés Felipe; López-Cubillos, Sofía; González‐Chaves, Adrian; Runting, Rebecca K.; Hohlenwerger, Camila; Rhodes, Jonathan R.

doi:10.1016/j.scitotenv.2021.149028

Cited by 78 publications

(43 citation statements)

References 58 publications

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“…Services such as scenic view, tree shading, noise control, heat control and also other recreational and cultural activities, are services that have been shown to improve overall health (Coutts & Hahn, 2015;Kabisch et al, 2017;Roe et al, 2013;Sandifer et al, 2015). The proximity between demand areas (in this case, inhabited areas) and supply areas can be a crucial factor for these ecosystem service provisions (Metzger et al, 2020(Metzger et al, , 2021, which could be favoured by a sharing configuration. Regions of the city with land sharing patterns can represent more pleasant landscapes because of well-maintained gardens, public green areas and street trees.…”

Section: Discussionmentioning

confidence: 99%

Balanced spatial distribution of green areas creates healthier urban landscapes

Cirino

Tambosi

Mauad

et al. 2022

Journal of Applied Ecology

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1. The benefits of green infrastructure on human well-being in urban areas are already well-established, with strong evidence of the positive effects of the amount and proximity to green areas. However, the understanding of how the spatial distribution and type of green areas affect health is still an open question.2. Here, through a land sharing and sparing framework, we explore how different spatial configurations of green and built-up areas and how different types of green areas can affect cardiovascular and respiratory hospitalizations in São Paulo city, Brazil.3. Sharing/sparing indicators were selected as the main explanatory factors in the control of all groups of diseases. Land sharing appeared as a favourable spatial condition to prevent cardiovascular hospitalization, while land sparing and arboreal vegetation were relevant to reduce hospitalization by lower respiratory diseases. 4. For upper respiratory diseases, forests seem to provide a disservice, once they were associated with increased rates of hospitalization by respiratory allergies causes.5. Considering that hospitalization rates and severity of cardiovascular diseases are substantially higher than those of upper respiratory ones, dense vegetation tends to provide more services than disservices. The land sharing configuration, which is characterized by green areas spread throughout the urban network (in streets, gardens, small squares or parks), should lead to higher exposure and use of the benefits of green areas, which may then explain the greater prevention of cardiovascular diseases.6. These novel results indicate that a more balanced distribution of green areas across built-up areas creates healthier urban spaces, and thus can be used as an urban planning strategy to leverage the health benefits provided by green infrastructure.7. Policy implications. Aiming to reduce hospitalizations by cardiovascular and pulmonary causes, urban planning should promote the spreading of green areas across the cities, in order to increase daily contact with natural attributes, giving preference to distribution over total quantity of green in urban landscape.

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Section: Discussionmentioning

confidence: 99%

Balanced spatial distribution of green areas creates healthier urban landscapes

Cirino

Tambosi

Mauad

et al. 2022

Journal of Applied Ecology

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“…Mapping and modelling of ES is one of the topics within the ES research field that has gained much attention in recent years [40]. The methods of mapping livestock provisioning ES in the present study (lamb and wool), may be integrated into decision support systems, making them available to the wider public and decision makers.…”

Section: Discussionmentioning

confidence: 99%

Lamb and Wool Provisioning Ecosystem Services in Southern Patagonia

et al. 2021

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In Southern Patagonia, grasslands are the principal food resource for sheep reared for meat and wool as the main provisioning ecosystem services (ES). The main objective of this study was to model lamb and wool production as provisioning ES at a regional scale using climatic, topographic, and vegetation variables from sheep farms across Santa Cruz province. At a regional level, animal yield ranged from 0.25 to 0.69 g lamb/m2/yr and 0.10 to 0.19 g greasy wool/m2/yr. We used multiple regression models to produce maps of lamb and wool provisioning ES across Santa Cruz province. The model for variation of lamb production explained 96% of the variance in the data and the most significant predictor variables were temperature seasonality, normalized vegetation index (NVDI, dimensionless), and desertification index. The most important variables for the model of greasy wool production were isothermality, temperature seasonality, and NVDI, which together explained 98% of the variance. The lowest CF values of both products (lamb and wool) were located in more productive grasslands. There were differences in lamb and wool production across vegetation types with the highest values being located in more productive grasslands (0.51 g lamb/m2/yr in Nothofagus antarctica forest and 0.15 g greasy wool/m2/yr in Magellanic grass steppe and N. antarctica). Lamb and greasy wool yields decreased with desertification gradient due to erosion processes. The main limitation of the model is related to the data availability at landscape level, which must be improved in future studies by accounting for soil type, fertility, and soil water content. The results of lamb and wool production found in the present work assist in characterizing the provisioning ES ecosystem of livestock products in Southern Patagonia. The successful management of livestock becomes an important challenge to the commercial and policy communities to satisfy society’s need for food and wool products under sustainable grassland management.

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“…Spatial regression models generally have two types: the spatial lag and spatial error models. The spatial lag model assumes that neighbouring dependent variable values directly affect the value of the dependent variable and incorporates the spatially lagged variable in its specification, Equation (1). The spatial error model treats spatial correlation primarily as a nuisance and assumes that model errors are correlated across distances among observations, Equation (2).…”

Section: Global Spatial Modelling Of Esvsmentioning

confidence: 99%

“…Humans benefit from ecosystem services (ESs) and profoundly influence the ecosystem in the context of rapid urbanisation and large-scale urban sprawl, especially at the landscape level [1,2]. All ESs are widely recognised as provision, regulation, maintenance and cultural and recreational services, which are important for the well-being and sustainable development of humans [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

“…The effect of landscape pattern on ESs has emerged as an appealing research topic because of the exploration on spatial organisation in the landscape, along with associated landscape modifications from rapid and slow land cover changes [20]. The decreased variation in a landscape leads to different resistance to ecosystem service flows, such as landscape connectivity and permeability, but the provision of services then requires flows of species, humans, or matter to connect supply and demand areas [1]. A previous empirical study (i.e., Jiang et al (2022) [21]), showed that ES provision is positively and negatively related to the amount of vegetation and the degree of fragmentation in an area, and that a multi-functional landscape reinforces local food production and enhances biodiversity and essential ESs [22].…”

Section: Introductionmentioning

confidence: 99%

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Integrating Landscape Pattern into Characterising and Optimising Ecosystem Services for Regional Sustainable Development

Zeng

Liu

et al. 2022

Land

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Humans benefit from ecosystem services (ES) and profoundly influence the ecosystem in rapid urbanisation and large-scale urban sprawl contexts, especially at the landscape level. However, the impacts of landscape pattern, the driving mechanism of sub-ES and the spatially explicit regional optimisation, have been largely ignored. In response, to the present paper explores two primary aspects: the relationship among ES, landscape pattern, urban income and agricultural output, and the regional governance of optimised ES values (ESV), using the Wuhan urban agglomeration as a case study area. The survey method is employed in obtaining the adjusted magnitude matrix of land use and ecosystem services. Spatial regression analyses are conducted on each ES, including food provision, climate regulation and soil maintenance, with socio-economic indicators and landscape pattern index as explanatory variables. Finally, geographically weighted regression and scenario analyses are conducted on each sub-ESV to generate adjusted coefficients in each county for ESV regulation. The results show that urban per capita disposable income and agricultural output significantly contribute to ESV change, with the former being negative and the latter being positive. A highly aggregated landscape also produces reduced ESV, particularly in soil maintenance and gas and climate regulation. We summarise the ESV in 2020 and in the period after adjustment in different administrative counties. Provision, regulation and culture ecosystem benefits substantially increase when attempts are made to lower the landscape aggregation pattern by 1%. In general, counties and county-level cities have the largest ESV, with food provision as the optimum ecosystem benefit. Districts in the capital city show an immense growth in provision and regulation, and county-level cities show the highest growth rate in cultural service. Integrating the landscape pattern into characterising and optimising ES, provides references for regional governance on land-use planning and socio-economic development, which is vital to sustainable regional development.

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Considering landscape-level processes in ecosystem service assessments

Cited by 78 publications

References 58 publications

Balanced spatial distribution of green areas creates healthier urban landscapes

Balanced spatial distribution of green areas creates healthier urban landscapes

Lamb and Wool Provisioning Ecosystem Services in Southern Patagonia

Integrating Landscape Pattern into Characterising and Optimising Ecosystem Services for Regional Sustainable Development

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