Climate change adaptation is essential to mitigate risks, such as extreme weather events triggered by global warming and amplified in dense urban environments. Ecosystem-based adaptation measures, such as urban greening, are promoted in cities because of their flexibility and their positive side effects, such as human health benefits, ecological effects, climate mitigation and a range of social benefits. While individual co-benefits of greening measures are well studied, often in public green spaces, few studies quantify co-benefits comprehensively, leaving social benefits particularly understudied. In this study, we perform biophysical and socio-cultural assessments of co-benefits provided by semi-public, residential greening in four courtyards with varying green structures. We quantify effects on thermal comfort, biodiversity, carbon storage and social interaction. We further assess the importance of these co-benefits to people in the neighbourhood. Subsequently, we weight the results from the biophysical assessments with the socio-cultural values to evaluate how even small differences in green structures result in differences in the provision of co-benefits. Results show that, despite relatively small differences in green structures, the residential courtyards with a higher green volume clearly generate more co-benefits than the residential yards with less green, particularly for thermal comfort. Despite differences in the valuation of co-benefits in the neighbourhood, socio-cultural weights did not change the outcome of the comparative assessment. Our results highlight that a deliberate management strategy, possibly on neighbourhood-scale, could enhance co-benefits and contribute to a more sustainable urban development.
{"title":"Ecosystem-based adaptation to climate change through residential urban green structures: co-benefits to thermal comfort, biodiversity, carbon storage and social interaction","authors":"Katja Schmidt, A. Walz","doi":"10.3897/oneeco.6.e65706","DOIUrl":"https://doi.org/10.3897/oneeco.6.e65706","url":null,"abstract":"Climate change adaptation is essential to mitigate risks, such as extreme weather events triggered by global warming and amplified in dense urban environments. Ecosystem-based adaptation measures, such as urban greening, are promoted in cities because of their flexibility and their positive side effects, such as human health benefits, ecological effects, climate mitigation and a range of social benefits. While individual co-benefits of greening measures are well studied, often in public green spaces, few studies quantify co-benefits comprehensively, leaving social benefits particularly understudied. In this study, we perform biophysical and socio-cultural assessments of co-benefits provided by semi-public, residential greening in four courtyards with varying green structures. We quantify effects on thermal comfort, biodiversity, carbon storage and social interaction. We further assess the importance of these co-benefits to people in the neighbourhood. Subsequently, we weight the results from the biophysical assessments with the socio-cultural values to evaluate how even small differences in green structures result in differences in the provision of co-benefits. Results show that, despite relatively small differences in green structures, the residential courtyards with a higher green volume clearly generate more co-benefits than the residential yards with less green, particularly for thermal comfort. Despite differences in the valuation of co-benefits in the neighbourhood, socio-cultural weights did not change the outcome of the comparative assessment. Our results highlight that a deliberate management strategy, possibly on neighbourhood-scale, could enhance co-benefits and contribute to a more sustainable urban development.","PeriodicalId":36908,"journal":{"name":"One Ecosystem","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41959674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Elena Palacios, P. van Beukering, B. V. Van Zanten, Francielle Lacle, S. Schep, Inga Soellner
The economy and well-being in Small Island Developing States (SIDS) and other Subnational Island Jurisdictions (SNIJ) highly rely on marine and coastal ecosystem services (ESS). Moreover, SIDS and SNIJ share common challenges in achieving the Sustainable Development Goals (SDGs). Building a fact-based solution to demonstrate the link between ESS and SDGs is essential for nature conservation and sustainable development in SIDS and SNIJ. In this study, we developed a 5-step approach to capture the contribution of ESS to the achievement of SDGs in Aruba by means of a shortlist of indicators, with the aim to provide information for optimal policy investments to implement the Aruba 2030 roadmap. The results numerically and spatially demonstrate the contribution of fisheries, nature-based tourism and local cultural recreational ESS to achieve SDG targets 14.7 (increase SIDS' economic benefits from sustainable use of marine resources), 8.9 (devise and implement policies to promote sustainable tourism) and 3.4 (promote mental health and well-being); and how investing in these key ESS could lead to multiplying co-benefits for other SDGs. This paper also discusses how the 5-step approach and the outcomes can be used to assist other SIDS and SNIJ in their ambitions to meet the SDGs.
{"title":"Linking ecosystem services and the Sustainable Development Goals in Small Island Developing States: the case of Aruba","authors":"Elena Palacios, P. van Beukering, B. V. Van Zanten, Francielle Lacle, S. Schep, Inga Soellner","doi":"10.3897/oneeco.6.e71033","DOIUrl":"https://doi.org/10.3897/oneeco.6.e71033","url":null,"abstract":"The economy and well-being in Small Island Developing States (SIDS) and other Subnational Island Jurisdictions (SNIJ) highly rely on marine and coastal ecosystem services (ESS). Moreover, SIDS and SNIJ share common challenges in achieving the Sustainable Development Goals (SDGs). Building a fact-based solution to demonstrate the link between ESS and SDGs is essential for nature conservation and sustainable development in SIDS and SNIJ. In this study, we developed a 5-step approach to capture the contribution of ESS to the achievement of SDGs in Aruba by means of a shortlist of indicators, with the aim to provide information for optimal policy investments to implement the Aruba 2030 roadmap. The results numerically and spatially demonstrate the contribution of fisheries, nature-based tourism and local cultural recreational ESS to achieve SDG targets 14.7 (increase SIDS' economic benefits from sustainable use of marine resources), 8.9 (devise and implement policies to promote sustainable tourism) and 3.4 (promote mental health and well-being); and how investing in these key ESS could lead to multiplying co-benefits for other SDGs. This paper also discusses how the 5-step approach and the outcomes can be used to assist other SIDS and SNIJ in their ambitions to meet the SDGs.","PeriodicalId":36908,"journal":{"name":"One Ecosystem","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46694046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nour ElHouda Debouza, Shaijal Babu Thruppoyil, K. Gopi, Sabika Zain, T. Ksiksi
Earth atmospheric CO2 concentration has risen by over 35% since 1750 and is presently increasing by about 2 parts per million (ppm) every year. Due to contributions from human activity, CO2 is projected to keep rising in the predictable future and to double sometime during this century if fossil fuels burning remains. As a result, air temperature is projected to rise from 2 to 5 °C by 2100. Following this rise in CO2, some ecosystems will face challenges in the next few decades as plants will live in warmer temperatures, higher evaporating demand and widespread changes in drought lengths and severity. To yield healthy crops and forests in changing climate surroundings, it is vital to define whether elevated CO2 disturbs seed germination and plant formation, but even more, the physiological traits conferring drought tolerance. Here, we review the current understanding on the role that CO2 plays on plant growth and seed germination, as well as its impact during the exposure of abiotic stresses like drought and salinity.
{"title":"Plant and seed germination responses to global change, with a focus on CO2: A review","authors":"Nour ElHouda Debouza, Shaijal Babu Thruppoyil, K. Gopi, Sabika Zain, T. Ksiksi","doi":"10.3897/oneeco.6.e74260","DOIUrl":"https://doi.org/10.3897/oneeco.6.e74260","url":null,"abstract":"Earth atmospheric CO2 concentration has risen by over 35% since 1750 and is presently increasing by about 2 parts per million (ppm) every year. Due to contributions from human activity, CO2 is projected to keep rising in the predictable future and to double sometime during this century if fossil fuels burning remains. As a result, air temperature is projected to rise from 2 to 5 °C by 2100. Following this rise in CO2, some ecosystems will face challenges in the next few decades as plants will live in warmer temperatures, higher evaporating demand and widespread changes in drought lengths and severity. To yield healthy crops and forests in changing climate surroundings, it is vital to define whether elevated CO2 disturbs seed germination and plant formation, but even more, the physiological traits conferring drought tolerance. Here, we review the current understanding on the role that CO2 plays on plant growth and seed germination, as well as its impact during the exposure of abiotic stresses like drought and salinity.","PeriodicalId":36908,"journal":{"name":"One Ecosystem","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42275104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Huisman, W.A.M. Jesse, J. Ellers, P. van Beukering
Invasive species are a worldwide threat to biodiversity, especially on Caribbean islands. Through their impact on the structure and functioning of ecosystems, they also affect ecosystem services. Therefore, invasive species can have profound socio-economic effects. On the Dutch Caribbean Island of St. Eustatius, the invasive perennial vine Coralita is present on roughly 33% of the Island. While ecological damage is evident, effective management strategies are still lacking. This study links the ecological, cultural and societal effects of the invasion to the economy of the Island by estimating the ecosystem service losses due to Coralita in monetary value. We have spatially assessed the economic value of five main ecosystem services (tourism, non-use value, carbon sequestration, archaeology and local cultural and recreational value) to the different habitats on the Island and estimated the loss of these values under three scenarios of Coralita cover: 0%, 3% and 36% dominant cover. The baseline scenario of 0% demonstrated a total ecosystem service value of $2.7 million per year, concentrated on the Quill volcano. The 3% and 36% scenario showed a yearly loss of $39,804 and $576,704, respectively, with the largest losses located on the northern and eastern slopes of the Quill. These areas should be prioritised for management and the known potential gain per area enables choice of strategy, based on cost-benefit considerations. To reduce further economic loss by Coralita, we urgently advise an immediate management strategy and ongoing research into eradication and restoration methods.
{"title":"Mapping the economic loss of ecosystem services caused by the invasive plant species Antigonon leptopus on the Dutch Caribbean Island of St. Eustatius","authors":"S. Huisman, W.A.M. Jesse, J. Ellers, P. van Beukering","doi":"10.3897/oneeco.6.e72881","DOIUrl":"https://doi.org/10.3897/oneeco.6.e72881","url":null,"abstract":"Invasive species are a worldwide threat to biodiversity, especially on Caribbean islands. Through their impact on the structure and functioning of ecosystems, they also affect ecosystem services. Therefore, invasive species can have profound socio-economic effects. On the Dutch Caribbean Island of St. Eustatius, the invasive perennial vine Coralita is present on roughly 33% of the Island. While ecological damage is evident, effective management strategies are still lacking. This study links the ecological, cultural and societal effects of the invasion to the economy of the Island by estimating the ecosystem service losses due to Coralita in monetary value. We have spatially assessed the economic value of five main ecosystem services (tourism, non-use value, carbon sequestration, archaeology and local cultural and recreational value) to the different habitats on the Island and estimated the loss of these values under three scenarios of Coralita cover: 0%, 3% and 36% dominant cover. The baseline scenario of 0% demonstrated a total ecosystem service value of $2.7 million per year, concentrated on the Quill volcano. The 3% and 36% scenario showed a yearly loss of $39,804 and $576,704, respectively, with the largest losses located on the northern and eastern slopes of the Quill. These areas should be prioritised for management and the known potential gain per area enables choice of strategy, based on cost-benefit considerations. To reduce further economic loss by Coralita, we urgently advise an immediate management strategy and ongoing research into eradication and restoration methods.","PeriodicalId":36908,"journal":{"name":"One Ecosystem","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46494222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
People require multiple ecosystem services (ES) to meet their basic needs and improve or maintain their quality of life. In order to meet these needs, natural resources are exploited, threatening biodiversity and increasing the pressure on the Earth's ecosystems. Spatial-structural approaches are used to explain and visualise the spatial relationships and connections between areas that provide and benefit from ES. However, areas where the demand for these ES occurs are rarely considered in existing spatial approaches or equated with areas where people can use the benefits. In order to highlight the differences between these two areas, we would like to introduce the 'Service Demanding Area' (SDA) in an adapted spatial-structural approach. This approach relates SDA to already familiar ES provision and use units, namely Service Providing Areas (SPA), Service Connecting Areas (SCA) and Service Benefitting Areas (SBA) and can be used to schematically illustrate, understand and analyse the different forms of demand that can emerge. A literature review was conducted to provide an overview of the spatial mapping of ES demand. Three issues arose that should be addressed to improve the assessment of ES demand: 1) The term ES demand is not used consistently. To avoid confusion, it is important to clarify how ES demand is understood and how it differs from the other components of the ES concept (e.g. ES supply, ES potential, ES flow); 2) It is important to consider that ES demand is multi-faceted and is generated on different geographical scales, including the full range of stakeholders' perceptions, needs and desires which broadens the picture of societal demand for ES; 3) Meaningful interpretations between ES supply and demand need to be available to inform decision-makers about interventions for reducing ES trade-offs and mismatches.
{"title":"Conceptualising the demand for ecosystem services – an adapted spatial-structural approach","authors":"C. Dworczyk, Benjamin Burkhard","doi":"10.3897/oneeco.6.e65966","DOIUrl":"https://doi.org/10.3897/oneeco.6.e65966","url":null,"abstract":"People require multiple ecosystem services (ES) to meet their basic needs and improve or maintain their quality of life. In order to meet these needs, natural resources are exploited, threatening biodiversity and increasing the pressure on the Earth's ecosystems.\u0000 Spatial-structural approaches are used to explain and visualise the spatial relationships and connections between areas that provide and benefit from ES. However, areas where the demand for these ES occurs are rarely considered in existing spatial approaches or equated with areas where people can use the benefits.\u0000 In order to highlight the differences between these two areas, we would like to introduce the 'Service Demanding Area' (SDA) in an adapted spatial-structural approach.\u0000 This approach relates SDA to already familiar ES provision and use units, namely Service Providing Areas (SPA), Service Connecting Areas (SCA) and Service Benefitting Areas (SBA) and can be used to schematically illustrate, understand and analyse the different forms of demand that can emerge.\u0000 A literature review was conducted to provide an overview of the spatial mapping of ES demand. Three issues arose that should be addressed to improve the assessment of ES demand: 1) The term ES demand is not used consistently. To avoid confusion, it is important to clarify how ES demand is understood and how it differs from the other components of the ES concept (e.g. ES supply, ES potential, ES flow); 2) It is important to consider that ES demand is multi-faceted and is generated on different geographical scales, including the full range of stakeholders' perceptions, needs and desires which broadens the picture of societal demand for ES; 3) Meaningful interpretations between ES supply and demand need to be available to inform decision-makers about interventions for reducing ES trade-offs and mismatches.","PeriodicalId":36908,"journal":{"name":"One Ecosystem","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42099827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The paper presents the current policy needs and gaps identified in the European Union (EU) Outermost Regions and Overseas Countries and Territories to implement Mapping and Assessment of Ecosystem and their Services (MAES) methodology. Then, a selection of the most appropriate tools and methods for mapping and assessing ecosystem services (biophysical, economic, socio-cultural – and decision-support) is provided to address local needs. Using a performance matrix to assess the effectiveness, efficiency and sustainability of these tools, key factors required to facilitate the implementation of an ecosystem services framework are identified by considering local needs and possibilities in terms of data availability, mapping support, ecosystem services assessment and decision-support. Our results show how effective and accurate various methods (e.g. process-based models, integrated modelling and most Decision-Supporting Tools) can be, or how efficient other methods are (e.g. value transfer, spatial proxy methods and replacement cost) in data-scarce regions. Participatory approaches score well in terms of sustainability as they allow the assessment of multiple ecosystem services (covering the biophysical, economic and social-cultural components of the assessment) with local stakeholders' contribution, therefore contributing to the awareness-raising dimension. There is no one-size-fits-all approach. Instead, there is a need for flexible, guidance-based ecosystem services mapping and assessment approaches in the EU Overseas entities to facilitate MAES implementation and to adapt and integrate those methods into scenario analysis and decision-supporting tools for better uptake of MAES outputs at the decision-making and policy levels in the EU Overseas entities.
{"title":"Adequacy of ecosystem services assessment tools and approaches to current policy needs and gaps in the European Union Overseas entities","authors":"E. Trégarot, P. Failler","doi":"10.3897/oneeco.6.e74170","DOIUrl":"https://doi.org/10.3897/oneeco.6.e74170","url":null,"abstract":"The paper presents the current policy needs and gaps identified in the European Union (EU) Outermost Regions and Overseas Countries and Territories to implement Mapping and Assessment of Ecosystem and their Services (MAES) methodology. Then, a selection of the most appropriate tools and methods for mapping and assessing ecosystem services (biophysical, economic, socio-cultural – and decision-support) is provided to address local needs. Using a performance matrix to assess the effectiveness, efficiency and sustainability of these tools, key factors required to facilitate the implementation of an ecosystem services framework are identified by considering local needs and possibilities in terms of data availability, mapping support, ecosystem services assessment and decision-support. Our results show how effective and accurate various methods (e.g. process-based models, integrated modelling and most Decision-Supporting Tools) can be, or how efficient other methods are (e.g. value transfer, spatial proxy methods and replacement cost) in data-scarce regions. Participatory approaches score well in terms of sustainability as they allow the assessment of multiple ecosystem services (covering the biophysical, economic and social-cultural components of the assessment) with local stakeholders' contribution, therefore contributing to the awareness-raising dimension. There is no one-size-fits-all approach. Instead, there is a need for flexible, guidance-based ecosystem services mapping and assessment approaches in the EU Overseas entities to facilitate MAES implementation and to adapt and integrate those methods into scenario analysis and decision-supporting tools for better uptake of MAES outputs at the decision-making and policy levels in the EU Overseas entities.","PeriodicalId":36908,"journal":{"name":"One Ecosystem","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43104256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the present study, the results of independent component decomposition of satellite-derived chlorophyll a (Chla) patterns for the north-western part of the Black Sea are presented. The study has been carried out on the basis of the DINEOF-reconstructed dataset of 8-day average log-transformed Chla (alChla) patterns for 1997-2016. The alChla patterns were decomposed into six independent components of its spatio-temporal variability in the north-western shelf of the Black Sea. The independent components reflect the spatial distribution of alChla anomalies which are likely to be formed under the influence of sea circulation factors driven by wind. The paper presents the results of the analysis of the intra-annual variability of independent components. The interpretation of the patterns of intra-annual independent components variability is given, taking into account the seasonal variability of the wind factor, the flow of the Danube, the Dnieper and Southern Bug rivers and the fact of modulation of independent components dynamics by seasonal phytoplankton succession.
{"title":"Independent components of spatial-temporal structure of chlorophyll a patterns in the upper layer of the north-western shelf of the Black Sea","authors":"N. Kyrylenko, V. Evstigneev","doi":"10.3897/oneeco.6.e73269","DOIUrl":"https://doi.org/10.3897/oneeco.6.e73269","url":null,"abstract":"In the present study, the results of independent component decomposition of satellite-derived chlorophyll a (Chla) patterns for the north-western part of the Black Sea are presented. The study has been carried out on the basis of the DINEOF-reconstructed dataset of 8-day average log-transformed Chla (alChla) patterns for 1997-2016. The alChla patterns were decomposed into six independent components of its spatio-temporal variability in the north-western shelf of the Black Sea. The independent components reflect the spatial distribution of alChla anomalies which are likely to be formed under the influence of sea circulation factors driven by wind. The paper presents the results of the analysis of the intra-annual variability of independent components. The interpretation of the patterns of intra-annual independent components variability is given, taking into account the seasonal variability of the wind factor, the flow of the Danube, the Dnieper and Southern Bug rivers and the fact of modulation of independent components dynamics by seasonal phytoplankton succession.","PeriodicalId":36908,"journal":{"name":"One Ecosystem","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49595374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Sieber, M. Hinsch, Marta Vergílio, A. Gil, Benjamin Burkhard
Modelling ecosystem services (ES) has become a new standard for the quantification and assessment of various ES. Multiple ES model applications are available that spatially estimate ES supply on the basis of land-use/land-cover (LULC) input data. This paper assesses how different input LULC datasets affect the modelling and mapping of ES supply for a case study on Terceira Island, the Azores (Portugal), namely: (1) the EU-wide CORINE LULC, (2) the Azores Region official LULC map (COS.A 2018) and (3) a remote sensing-based LULC and vegetation map of Terceira Island using Sentinel-2 satellite imagery. The InVEST model suite was applied, modelling altogether six ES (Recreation/Visitation, Pollination, Carbon Storage, Nutrient Delivery Ratio, Sediment Delivery Ratio and Seasonal Water Yield). Model outcomes of the three LULC datasets were compared in terms of similarity, performance and applicability for the user. For some InVEST modules, such as Pollination and Recreation, the differences in the LULC datasets had limited influence on the model results. For InVEST modules, based on more complex calculations and processes, such as Nutrient Delivery Ratio, the output ES maps showed a skewed distribution of ES supply. Yet, model results showed significant differences for differences in all modules and all LULCs. Understanding how differences arise between the LULC input datasets and the respective effect on model results is imperative when computing model-based ES maps. The choice for selecting appropriate LULC data should depend on: 1) the research or policy/decision-making question guiding the modelling study, 2) the ecosystems to be mapped, but also on 3) the spatial resolution of the mapping and 4) data availability at the local level. Communication and transparency on model input data are needed, especially if ES maps are used for supporting land use planning and decision-making.
{"title":"Assessing the effects of different land-use/land-cover input datasets on modelling and mapping terrestrial ecosystem services - Case study Terceira Island (Azores, Portugal)","authors":"I. Sieber, M. Hinsch, Marta Vergílio, A. Gil, Benjamin Burkhard","doi":"10.3897/oneeco.6.e69119","DOIUrl":"https://doi.org/10.3897/oneeco.6.e69119","url":null,"abstract":"Modelling ecosystem services (ES) has become a new standard for the quantification and assessment of various ES. Multiple ES model applications are available that spatially estimate ES supply on the basis of land-use/land-cover (LULC) input data. This paper assesses how different input LULC datasets affect the modelling and mapping of ES supply for a case study on Terceira Island, the Azores (Portugal), namely: (1) the EU-wide CORINE LULC, (2) the Azores Region official LULC map (COS.A 2018) and (3) a remote sensing-based LULC and vegetation map of Terceira Island using Sentinel-2 satellite imagery. The InVEST model suite was applied, modelling altogether six ES (Recreation/Visitation, Pollination, Carbon Storage, Nutrient Delivery Ratio, Sediment Delivery Ratio and Seasonal Water Yield). Model outcomes of the three LULC datasets were compared in terms of similarity, performance and applicability for the user. For some InVEST modules, such as Pollination and Recreation, the differences in the LULC datasets had limited influence on the model results. For InVEST modules, based on more complex calculations and processes, such as Nutrient Delivery Ratio, the output ES maps showed a skewed distribution of ES supply. Yet, model results showed significant differences for differences in all modules and all LULCs. Understanding how differences arise between the LULC input datasets and the respective effect on model results is imperative when computing model-based ES maps. The choice for selecting appropriate LULC data should depend on: 1) the research or policy/decision-making question guiding the modelling study, 2) the ecosystems to be mapped, but also on 3) the spatial resolution of the mapping and 4) data availability at the local level. Communication and transparency on model input data are needed, especially if ES maps are used for supporting land use planning and decision-making.","PeriodicalId":36908,"journal":{"name":"One Ecosystem","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41575706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Casas, Laura Martín-García, F. Otero-Ferrer, F. Tuya, R. Haroun, M. Arbelo
Cymodocea nodosa seagrass meadows provide several socio-economically ecosystem services, including nurseries for numerous species of commercial interest. These seagrasses are experiencing a worldwide decline, with global loss rates approaching 5% per year, mainly related to coastal human activities. Cymodocea nodosa, the predominant seagrass in the Canary Archipelago (Spain), is also exposed to these threats, which could lead to habitat loss or even local disappearance. In this case study, we estimated the potential economic value of Cymodocea nodosa seagrass meadows for local fisheries at an archipelago scale. Habitat suitability maps were constructed using MAXENT 3.4.1, a software for modelling species distributions by applying a maximum entropy machine-learning method, from a set of environmental variables and presence and background records extracted from historical cartographies. This model allows characterising and assessing the C. nodosa habitat suitability, overcoming the implicit complexity derived from seasonal changes in this species highly dynamic meadows and using it as a first step for the mapping and assessment of ecosystem services. In a second step, value transfer methodologies were used, along with published economic valuations of commercially-interesting fish species related to C. nodosa meadows. We estimate that the potential monetary value of these species can add up to more than 3 million euros per year for the entire Archipelago. The simplicity of the proposed methodology facilitates its repeatability in other similar regions, using freely available data and hence, being suitable for data-scarce scenarios.
{"title":"Economic mapping and assessment of Cymodocea nodosa meadows as nursery grounds for commercially important fish species. A case study in the Canary Islands","authors":"E. Casas, Laura Martín-García, F. Otero-Ferrer, F. Tuya, R. Haroun, M. Arbelo","doi":"10.3897/oneeco.6.e70919","DOIUrl":"https://doi.org/10.3897/oneeco.6.e70919","url":null,"abstract":"Cymodocea nodosa seagrass meadows provide several socio-economically ecosystem services, including nurseries for numerous species of commercial interest. These seagrasses are experiencing a worldwide decline, with global loss rates approaching 5% per year, mainly related to coastal human activities. Cymodocea nodosa, the predominant seagrass in the Canary Archipelago (Spain), is also exposed to these threats, which could lead to habitat loss or even local disappearance. In this case study, we estimated the potential economic value of Cymodocea nodosa seagrass meadows for local fisheries at an archipelago scale. Habitat suitability maps were constructed using MAXENT 3.4.1, a software for modelling species distributions by applying a maximum entropy machine-learning method, from a set of environmental variables and presence and background records extracted from historical cartographies. This model allows characterising and assessing the C. nodosa habitat suitability, overcoming the implicit complexity derived from seasonal changes in this species highly dynamic meadows and using it as a first step for the mapping and assessment of ecosystem services. In a second step, value transfer methodologies were used, along with published economic valuations of commercially-interesting fish species related to C. nodosa meadows. We estimate that the potential monetary value of these species can add up to more than 3 million euros per year for the entire Archipelago. The simplicity of the proposed methodology facilitates its repeatability in other similar regions, using freely available data and hence, being suitable for data-scarce scenarios.","PeriodicalId":36908,"journal":{"name":"One Ecosystem","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46783472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Recently, questions about the return of the concept of Arctic agriculture in order to promote sustainable development of the northern regions and ensure food security have been raised more often. The re-involvement of previously-used and abandoned soils into agricultural usage can provide an essential contribution for the development of the Arctic regions. We conducted a comprehensive research of soils with different levels of abandonment in the central part of the Yamal Region (Russia) and compared their morphological features, chemical and physical properties, fertile qualities and the level of contamination with heavy and trace metals to background soils of the region. It has been noted that there are no evident features of cryoturbation processes in the profiles of abandoned agricultucal soils and regular changes in the redox regime, as a consequence of the presence of reductimorphic spots in the soil profiles, have been recorded. Soil organic matter (SOM) stock in the topsoil of abandoned soils is estimated as medium and has a similar level to the stocks of total organic matter in the agricultural soils of the Arctic circumpolar region (Norway, Sweden, and Finland). Statistically significant differences in the content of nutrients between abandoned and background soils were recorded which indicates stability of the soil nutritional state during different abandoned states. Particularly notable are the differences between the content of available forms of phosphorus. The results of the study revealed significant differences between soils of various periods of abandonment and the background soils of the Yamal Region. Abandoned soils can be used for ground and greenhouse agriculture, these soils having a high level of fertility and are not limited for use in agriculture by the level of contamination with heavy and trace metals. According to the character of trace metal contamination, abandoned and background soils are evaluated as uncontaminated on the base of Zc and Igeo indices values. Reuse of the previously abandoned soils can undoubtedly become the basis for increasing agricultural production and ensuring food security in the Yamal Region.
{"title":"Morphological features, productivity and pollution state of abandoned agricultural soils in the Russian Arctic (Yamal Region)","authors":"T. Nizamutdinov, E. Abakumov, E. Morgun","doi":"10.3897/oneeco.6.e68408","DOIUrl":"https://doi.org/10.3897/oneeco.6.e68408","url":null,"abstract":"Recently, questions about the return of the concept of Arctic agriculture in order to promote sustainable development of the northern regions and ensure food security have been raised more often. The re-involvement of previously-used and abandoned soils into agricultural usage can provide an essential contribution for the development of the Arctic regions. We conducted a comprehensive research of soils with different levels of abandonment in the central part of the Yamal Region (Russia) and compared their morphological features, chemical and physical properties, fertile qualities and the level of contamination with heavy and trace metals to background soils of the region. It has been noted that there are no evident features of cryoturbation processes in the profiles of abandoned agricultucal soils and regular changes in the redox regime, as a consequence of the presence of reductimorphic spots in the soil profiles, have been recorded. Soil organic matter (SOM) stock in the topsoil of abandoned soils is estimated as medium and has a similar level to the stocks of total organic matter in the agricultural soils of the Arctic circumpolar region (Norway, Sweden, and Finland). Statistically significant differences in the content of nutrients between abandoned and background soils were recorded which indicates stability of the soil nutritional state during different abandoned states. Particularly notable are the differences between the content of available forms of phosphorus. The results of the study revealed significant differences between soils of various periods of abandonment and the background soils of the Yamal Region. Abandoned soils can be used for ground and greenhouse agriculture, these soils having a high level of fertility and are not limited for use in agriculture by the level of contamination with heavy and trace metals. According to the character of trace metal contamination, abandoned and background soils are evaluated as uncontaminated on the base of Zc and Igeo indices values. Reuse of the previously abandoned soils can undoubtedly become the basis for increasing agricultural production and ensuring food security in the Yamal Region.","PeriodicalId":36908,"journal":{"name":"One Ecosystem","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46658463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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