A. La Notte, B. Czúcz, S. Vallecillo, C. Polce, J. Maes
There is a linkage between the condition of ecosystems and the services they provide. In the accounting framework set by the United Nations System of integrated Environmental Economic Accounting – Ecosystem Accounts (SEEA EA), two different sets of accounts assess and monitor ecosystem condition and ecosystem services, respectively. The former are reported as indicators in an asset account format, while the latter are reported as supply and use tables. Without a concrete linkage, the two sets of accounts run in parallel: only an ex-post correlation analysis could confirm (or not) a common path. On the other hand, a clear linkage could create a sequence that justifies and supports the statement that any change in ecosystem condition will affect services and, in turn, the benefits provided to economy and society. Concrete applications undertaken under the project “Integrated system for Natural Capital Accounts” demonstrate at which stage a direct connection can occur between ecosystem condition and ecosystem services accounting. The paper starts with a theoretical background meant to set the basic concepts underlying the transition from condition to services. Next, the accounting framework for condition accounts is briefly presented: the specific ecosystem services case studies concern flood control and crop pollination. In the discussion, a simple proposal is drafted to facilitate a possible procedure for those practitioners interested in having condition and ES accounts operationally linked.
{"title":"Ecosystem condition underpins the generation of ecosystem services: an accounting perspective","authors":"A. La Notte, B. Czúcz, S. Vallecillo, C. Polce, J. Maes","doi":"10.3897/oneeco.7.e81487","DOIUrl":"https://doi.org/10.3897/oneeco.7.e81487","url":null,"abstract":"There is a linkage between the condition of ecosystems and the services they provide. In the accounting framework set by the United Nations System of integrated Environmental Economic Accounting – Ecosystem Accounts (SEEA EA), two different sets of accounts assess and monitor ecosystem condition and ecosystem services, respectively. The former are reported as indicators in an asset account format, while the latter are reported as supply and use tables. Without a concrete linkage, the two sets of accounts run in parallel: only an ex-post correlation analysis could confirm (or not) a common path. On the other hand, a clear linkage could create a sequence that justifies and supports the statement that any change in ecosystem condition will affect services and, in turn, the benefits provided to economy and society. Concrete applications undertaken under the project “Integrated system for Natural Capital Accounts” demonstrate at which stage a direct connection can occur between ecosystem condition and ecosystem services accounting. The paper starts with a theoretical background meant to set the basic concepts underlying the transition from condition to services. Next, the accounting framework for condition accounts is briefly presented: the specific ecosystem services case studies concern flood control and crop pollination. In the discussion, a simple proposal is drafted to facilitate a possible procedure for those practitioners interested in having condition and ES accounts operationally linked.","PeriodicalId":36908,"journal":{"name":"One Ecosystem","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46599871","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 use of urban green spaces (UGS) depends on its quality, which is perceived very differently by diverse socio-demographic groups. In particular, elderly people have special demands on the UGS quality. It is essential to know these demands to create an equitable UGS supply. We present an approach to determining some qualitative aspects and the supply of cultural ecosystem services of diverse forms of UGS. This is realised by combining user demands with actual UGS features. In a concrete example, we assessed the UGS quality and supply for both the general population and the subset of elderly people. For the latter group, the activities of relaxing and observing nature, as well as the UGS feature of benches, were found to be significantly more important than for the general population. Nevertheless, this had only a minor impact on the assessed aspects of UGS quality and supply, with little differences detected between the two groups. In Dresden (Germany), we determined that almost half of the elderly population are not provided with high-quality UGS. In these areas, urban planning must increase the UGS quality while taking user demands into account to ensure just access to the positive benefits of UGS for the elderly.
{"title":"Approach to user group-specific assessment of urban green spaces for a more equitable supply exemplified by the elderly population","authors":"Celina H. Stanley, R. Hecht, S. Cakir, P. Brzoska","doi":"10.3897/oneeco.7.e83325","DOIUrl":"https://doi.org/10.3897/oneeco.7.e83325","url":null,"abstract":"The use of urban green spaces (UGS) depends on its quality, which is perceived very differently by diverse socio-demographic groups. In particular, elderly people have special demands on the UGS quality. It is essential to know these demands to create an equitable UGS supply. We present an approach to determining some qualitative aspects and the supply of cultural ecosystem services of diverse forms of UGS. This is realised by combining user demands with actual UGS features. In a concrete example, we assessed the UGS quality and supply for both the general population and the subset of elderly people. For the latter group, the activities of relaxing and observing nature, as well as the UGS feature of benches, were found to be significantly more important than for the general population. Nevertheless, this had only a minor impact on the assessed aspects of UGS quality and supply, with little differences detected between the two groups. In Dresden (Germany), we determined that almost half of the elderly population are not provided with high-quality UGS. In these areas, urban planning must increase the UGS quality while taking user demands into account to ensure just access to the positive benefits of UGS for the elderly.","PeriodicalId":36908,"journal":{"name":"One Ecosystem","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41758792","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. Tanács, Ákos Bede‐Fazekas, A. Csecserits, Lívia Kisné Fodor, L. Pásztor, I. Somodi, T. Standovár, A. Zlinszky, Zita Zsembery, Á. Vári
The availability of robust and reliable spatial information on ecosystem condition is of increasing importance in informing conservation policy. Recent policy requirements have sparked a renewed interest in conceptual questions related to ecosystem condition and practical aspects like indicator selection, resulting in the emergence of conceptual frameworks, such as the System of Environmental-Economic Accounting - Ecosystem Accounting (SEEA-EA) and its Ecosystem Condition Typology (ECT). However, while such frameworks are essential to ensure that condition assessments are comprehensive and comparable, large-scale practical implementation often poses challenges that need to be tackled within stringent time and cost frames. We present methods and experiences of the national-level mapping and assessment of ecosystem condition in Hungary. The assessments covered the whole country, including all major ecosystem types present. The methodology constitutes four approaches of quantifying and mapping condition, based on different interpretations of naturalness and hemeroby, complemented by two more using properties that ‘overarch’ ecosystem types, such as soil and landscape attributes. In order to highlight their strengths and drawbacks, as well as to help reconcile aspects of conceptual relevance with practical limitations, we retrospectively evaluated the six mapping approaches (and the resulting indicators) against the indicator selection criteria suggested in the SEEA-EA. The results show that the various approaches have different strengths and weaknesses and, thus, their joint application has a higher potential to address the specific challenges related to large-scale ecosystem condition mapping.
{"title":"Assessing ecosystem condition at the national level in Hungary - indicators, approaches, challenges","authors":"E. Tanács, Ákos Bede‐Fazekas, A. Csecserits, Lívia Kisné Fodor, L. Pásztor, I. Somodi, T. Standovár, A. Zlinszky, Zita Zsembery, Á. Vári","doi":"10.3897/oneeco.7.e81543","DOIUrl":"https://doi.org/10.3897/oneeco.7.e81543","url":null,"abstract":"The availability of robust and reliable spatial information on ecosystem condition is of increasing importance in informing conservation policy. Recent policy requirements have sparked a renewed interest in conceptual questions related to ecosystem condition and practical aspects like indicator selection, resulting in the emergence of conceptual frameworks, such as the System of Environmental-Economic Accounting - Ecosystem Accounting (SEEA-EA) and its Ecosystem Condition Typology (ECT). However, while such frameworks are essential to ensure that condition assessments are comprehensive and comparable, large-scale practical implementation often poses challenges that need to be tackled within stringent time and cost frames.\u0000 We present methods and experiences of the national-level mapping and assessment of ecosystem condition in Hungary. The assessments covered the whole country, including all major ecosystem types present. The methodology constitutes four approaches of quantifying and mapping condition, based on different interpretations of naturalness and hemeroby, complemented by two more using properties that ‘overarch’ ecosystem types, such as soil and landscape attributes. In order to highlight their strengths and drawbacks, as well as to help reconcile aspects of conceptual relevance with practical limitations, we retrospectively evaluated the six mapping approaches (and the resulting indicators) against the indicator selection criteria suggested in the SEEA-EA. The results show that the various approaches have different strengths and weaknesses and, thus, their joint application has a higher potential to address the specific challenges related to large-scale ecosystem condition mapping.","PeriodicalId":36908,"journal":{"name":"One Ecosystem","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47818976","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}
N. Dang, B. Jackson, S. Tomscha, L. Lilburne, Kremena Burkhard, D. Tran, Long Phi, R. Benavidez
Information on soil hydraulic properties (e.g. soil moisture pressure relationships and hydraulic conductivity) is valuable for a wide range of disciplines including hydrology, ecology, environmental management and agriculture. However, this information is often not readily available as direct measurements are costly and time-consuming. Furthermore, as more complex representations of soils are being built into environmental models, users and developers often require sound hydraulic property information, while having limited access to specialist knowledge. Although indirect methods have been developed to obtain soil hydraulic properties from easily measurable or readily available soil properties via pedo-transfer functions (PTFs), few articles provide guidance for obtaining soil hydraulic properties over a wide range of geoclimatic and regional data availability contexts. The aim of this study is, therefore, to develop guidelines and an associated spatially referenced toolbox, NB_PTFs, to speed the process of acquiring sensible soil hydraulic properties for different geoclimatic and data-rich/sparse regions. The guide compiles available information about soil hydraulic properties, as well as a large number (151) of PTFs, not collated in any other guidance to date. NB_PTFs is an open-source ArcGIS toolbox which allows users to quickly get values, graphs and spatial distributions of soil hydraulic properties. The soil hydraulic properties, obtained using the guide and the toolbox, can be used as inputs for various models amongst other purposes. To demonstrate the use of the guidelines and the toolbox in different geoclimatic and data-availability contexts, the paper presents two case studies: the Vietnamese Mekong Delta and New Zealand Hurunui catchment. The Vietnamese Mekong Delta shows the use of these guidelines in a tropical, flat location with limited information on soil physical, chemical and hydraulic properties. The Hurunui catchment represents a case study for a semi-arid and hilly area in an area with detailed soil information.
{"title":"Guidelines and a supporting toolbox for parameterising key soil hydraulic properties in hydrological studies and broader integrated modelling","authors":"N. Dang, B. Jackson, S. Tomscha, L. Lilburne, Kremena Burkhard, D. Tran, Long Phi, R. Benavidez","doi":"10.3897/oneeco.7.e76410","DOIUrl":"https://doi.org/10.3897/oneeco.7.e76410","url":null,"abstract":"Information on soil hydraulic properties (e.g. soil moisture pressure relationships and hydraulic conductivity) is valuable for a wide range of disciplines including hydrology, ecology, environmental management and agriculture. However, this information is often not readily available as direct measurements are costly and time-consuming. Furthermore, as more complex representations of soils are being built into environmental models, users and developers often require sound hydraulic property information, while having limited access to specialist knowledge. Although indirect methods have been developed to obtain soil hydraulic properties from easily measurable or readily available soil properties via pedo-transfer functions (PTFs), few articles provide guidance for obtaining soil hydraulic properties over a wide range of geoclimatic and regional data availability contexts. The aim of this study is, therefore, to develop guidelines and an associated spatially referenced toolbox, NB_PTFs, to speed the process of acquiring sensible soil hydraulic properties for different geoclimatic and data-rich/sparse regions. The guide compiles available information about soil hydraulic properties, as well as a large number (151) of PTFs, not collated in any other guidance to date. NB_PTFs is an open-source ArcGIS toolbox which allows users to quickly get values, graphs and spatial distributions of soil hydraulic properties. The soil hydraulic properties, obtained using the guide and the toolbox, can be used as inputs for various models amongst other purposes. To demonstrate the use of the guidelines and the toolbox in different geoclimatic and data-availability contexts, the paper presents two case studies: the Vietnamese Mekong Delta and New Zealand Hurunui catchment. The Vietnamese Mekong Delta shows the use of these guidelines in a tropical, flat location with limited information on soil physical, chemical and hydraulic properties. The Hurunui catchment represents a case study for a semi-arid and hilly area in an area with detailed soil information.","PeriodicalId":36908,"journal":{"name":"One Ecosystem","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47456132","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}
G. Zulian, Federica Marando, L. Mentaschi, Claudia Alzetta, B. Wilk, J. Maes
Green spaces are increasingly recognised as key elements in enhancing urban resilience as they provide several ecosystem services. Therefore, their implementation and monitoring in cities are crucial to meet sustainability targets. In this paper, we provide a methodology to compute an indicator that assesses changes in vegetation cover within Urban Green Infrastructure (UGI). Such an indicator is adopted as one of the indicators for reporting on the key area “nature and biodiversity” in the Green City Accord (GCA). In the first section, the key steps to derive the indicator are described and a script, which computes the trends in vegetation cover using Google Earth Engine (GEE), is provided. The second section describes the application of the indicator in a multi-scale, policy-orientated perspective. The analysis has been carried out in 696 European Functional Urban Areas (FUAs), considering changes in vegetation cover inside UGI between 1996 and 2018. Results were analysed for the EU and the United Kingdom. The Municipality of Padua (Italy) is used as a case study to illustrate the results at the local level. Over the last 22 years, a slight upward trend characterised the vegetation growth within UGI in European FUAs. Within core cities and densily built-upcommuting zones, the trend was stable; in non-densely built-up areas, an upward trend was recorded. Vegetation cover in UGI has been relatively stable in European cities. However, a negative balance between abrupt changes in greening and browning has been recorded, affecting most parts of European cities (75% of core cities and 77% of commuting zones in densely built-up areas). This still indicates ongoing land take with no compensation of green spaces that are lost to artificial areas. Focusing on the FUA of Padua, a downward trend was observed in 33.3% and 12.9% of UGI in densely built-up and not-densely built-up areas, respectively. Within the FUA of Padua, most municipalities are characterised by a negative balance between abrupt greening and browning, both in non-densely built-up and densely built-up areas. This approach complements traditional metrics, such as the extent of UGI or tree canopy cover, by providing a valuable measure of condition of urban ecosystems and an instrument to monitor the impact of land take.
{"title":"Green balance in urban areas as an indicator for policy support: a multi-level application","authors":"G. Zulian, Federica Marando, L. Mentaschi, Claudia Alzetta, B. Wilk, J. Maes","doi":"10.3897/oneeco.7.e72685","DOIUrl":"https://doi.org/10.3897/oneeco.7.e72685","url":null,"abstract":"Green spaces are increasingly recognised as key elements in enhancing urban resilience as they provide several ecosystem services. Therefore, their implementation and monitoring in cities are crucial to meet sustainability targets.\u0000 In this paper, we provide a methodology to compute an indicator that assesses changes in vegetation cover within Urban Green Infrastructure (UGI). Such an indicator is adopted as one of the indicators for reporting on the key area “nature and biodiversity” in the Green City Accord (GCA).\u0000 In the first section, the key steps to derive the indicator are described and a script, which computes the trends in vegetation cover using Google Earth Engine (GEE), is provided.\u0000 The second section describes the application of the indicator in a multi-scale, policy-orientated perspective. The analysis has been carried out in 696 European Functional Urban Areas (FUAs), considering changes in vegetation cover inside UGI between 1996 and 2018. Results were analysed for the EU and the United Kingdom. The Municipality of Padua (Italy) is used as a case study to illustrate the results at the local level.\u0000 Over the last 22 years, a slight upward trend characterised the vegetation growth within UGI in European FUAs. Within core cities and densily built-upcommuting zones, the trend was stable; in non-densely built-up areas, an upward trend was recorded. Vegetation cover in UGI has been relatively stable in European cities. However, a negative balance between abrupt changes in greening and browning has been recorded, affecting most parts of European cities (75% of core cities and 77% of commuting zones in densely built-up areas). This still indicates ongoing land take with no compensation of green spaces that are lost to artificial areas.\u0000 Focusing on the FUA of Padua, a downward trend was observed in 33.3% and 12.9% of UGI in densely built-up and not-densely built-up areas, respectively. Within the FUA of Padua, most municipalities are characterised by a negative balance between abrupt greening and browning, both in non-densely built-up and densely built-up areas.\u0000 This approach complements traditional metrics, such as the extent of UGI or tree canopy cover, by providing a valuable measure of condition of urban ecosystems and an instrument to monitor the impact of land take.","PeriodicalId":36908,"journal":{"name":"One Ecosystem","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44356683","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}
Kinh Bac Dang, T. Nguyen, H. Nguyen, Q. Truong, Thi Phuong Vu, Hanh Nguyen Pham, T. Duong, Van Trong Giang, Duc Minh Nguyen, Thu Huong Bui, Benjamin Burkhard
The monitoring of ecosystem dynamics utilises time and resources from scientists and land-use managers, especially in wetland ecosystems in islands that have been affected significantly by both the current state of oceans and human-made activities. Deep-learning models for natural and anthropogenic ecosystem type classification, based on remote sensing data, have become a tool to potentially replace manual image interpretation. This study proposes a U-Net model to develop a deep learning model for classifying 10 island ecosystems with cloud- and shadow-based data using Sentinel-2, ALOS and NOAA remote sensing data. We tested and compared different optimiser methods with two benchmark methods, including support vector machines and random forests. In total, 48 U-Net models were trained and compared. The U-Net model with the Adadelta optimiser and 64 filters showed the best result, because it could classify all island ecosystems with 93 percent accuracy and a loss function value of 0.17. The model was used to classify and successfully manage ecosystems on a particular island in Vietnam. Compared to island ecosystems, it is not easy to detect coral reefs due to seasonal ocean currents. However, the trained deep-learning models proved to have high performances compared to the two traditional methods. The best U-Net model, which needs about two minutes to create a new classification, could become a suitable tool for island research and management in the future.
{"title":"U-shaped deep-learning models for island ecosystem type classification, a case study in Con Dao Island of Vietnam","authors":"Kinh Bac Dang, T. Nguyen, H. Nguyen, Q. Truong, Thi Phuong Vu, Hanh Nguyen Pham, T. Duong, Van Trong Giang, Duc Minh Nguyen, Thu Huong Bui, Benjamin Burkhard","doi":"10.3897/oneeco.7.e79160","DOIUrl":"https://doi.org/10.3897/oneeco.7.e79160","url":null,"abstract":"The monitoring of ecosystem dynamics utilises time and resources from scientists and land-use managers, especially in wetland ecosystems in islands that have been affected significantly by both the current state of oceans and human-made activities. Deep-learning models for natural and anthropogenic ecosystem type classification, based on remote sensing data, have become a tool to potentially replace manual image interpretation. This study proposes a U-Net model to develop a deep learning model for classifying 10 island ecosystems with cloud- and shadow-based data using Sentinel-2, ALOS and NOAA remote sensing data. We tested and compared different optimiser methods with two benchmark methods, including support vector machines and random forests. In total, 48 U-Net models were trained and compared. The U-Net model with the Adadelta optimiser and 64 filters showed the best result, because it could classify all island ecosystems with 93 percent accuracy and a loss function value of 0.17. The model was used to classify and successfully manage ecosystems on a particular island in Vietnam. Compared to island ecosystems, it is not easy to detect coral reefs due to seasonal ocean currents. However, the trained deep-learning models proved to have high performances compared to the two traditional methods. The best U-Net model, which needs about two minutes to create a new classification, could become a suitable tool for island research and management in the future.","PeriodicalId":36908,"journal":{"name":"One Ecosystem","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47962433","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}
Structural Equation Modelling (SEM) represents a quantitative methodology for specifying and evaluating causal network hypotheses. The application of SEM typically involves the use of specialised software packages that implement estimation procedures and automate model checking and the output of summary results. There are times when the specification details an investigator wishes to implement to represent their data relationships are not supported by available SEM packages. In such cases, it may be desirable to develop and evaluate SE models “by hand”, using specialised regression tools. In this paper, I demonstrate a general approach to custom-built applications of SEM. The approach illustrated can be used for a wide array of specialised applications of non-linear, multi-level and other custom specifications in SE models.
{"title":"General guidance for custom-built structural equation models","authors":"J. Grace","doi":"10.3897/oneeco.7.e72780","DOIUrl":"https://doi.org/10.3897/oneeco.7.e72780","url":null,"abstract":"Structural Equation Modelling (SEM) represents a quantitative methodology for specifying and evaluating causal network hypotheses. The application of SEM typically involves the use of specialised software packages that implement estimation procedures and automate model checking and the output of summary results. There are times when the specification details an investigator wishes to implement to represent their data relationships are not supported by available SEM packages. In such cases, it may be desirable to develop and evaluate SE models “by hand”, using specialised regression tools. In this paper, I demonstrate a general approach to custom-built applications of SEM. The approach illustrated can be used for a wide array of specialised applications of non-linear, multi-level and other custom specifications in SE models.","PeriodicalId":36908,"journal":{"name":"One Ecosystem","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45794641","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 massive abandonment of arable land in Russia in the 1990s had a heavy impact on the country’s land-use structure. The cessation of cultivation leads to a decrease of provisioning ecosystem services within the landscape, while creating an opportunity to enhance the supply of diverse regulation services. Consideration of this opportunity is increasingly important for environmental management and landscape planning. In this article, we present an approach for assessing the environmental benefits of ecosystems developing on abandoned arable lands in the forested zone of European Russia. The proposed methodology is established on a land-cover based framework – ecosystem services assessment matrix. For assessment purposes, abandoned arable lands at different stages of vegetation recovery succession (ruderal, grassland and small-leaved forest) are considered as different land-cover types. Four classes of regulating ecosystem services are subject to qualitative analysis: regulation of the chemical composition of the atmosphere, control of erosion rates, regulation of soil quality and pollination. An exemplary application of the proposed methodology for the case study area located in the Moscow Region of Russia is presented in the article. The results of the qualitative assessment revealed an association between the stage of vegetation recovery succession which corresponds with the time since land abandonment and the supply of regulating ecosystem services. The recovery of natural vegetation leads to higher levels of carbon sequestration, more effective erosion mitigation, soil recovery and increased pollinator abundance. Cropland was proven to be a recipient of the services provided by natural ecosystems. Thus, the return of all uncultivated fields to agricultural use will cause a substantial decrease in the ecological value of the study area.
{"title":"Assessing ecosystem services of abandoned agricultural lands: a case study in the forested zone of European Russia","authors":"Daria Anpilogova, A. Pakina","doi":"10.3897/oneeco.7.e77969","DOIUrl":"https://doi.org/10.3897/oneeco.7.e77969","url":null,"abstract":"The massive abandonment of arable land in Russia in the 1990s had a heavy impact on the country’s land-use structure. The cessation of cultivation leads to a decrease of provisioning ecosystem services within the landscape, while creating an opportunity to enhance the supply of diverse regulation services. Consideration of this opportunity is increasingly important for environmental management and landscape planning. In this article, we present an approach for assessing the environmental benefits of ecosystems developing on abandoned arable lands in the forested zone of European Russia. The proposed methodology is established on a land-cover based framework – ecosystem services assessment matrix. For assessment purposes, abandoned arable lands at different stages of vegetation recovery succession (ruderal, grassland and small-leaved forest) are considered as different land-cover types. Four classes of regulating ecosystem services are subject to qualitative analysis: regulation of the chemical composition of the atmosphere, control of erosion rates, regulation of soil quality and pollination. An exemplary application of the proposed methodology for the case study area located in the Moscow Region of Russia is presented in the article. The results of the qualitative assessment revealed an association between the stage of vegetation recovery succession which corresponds with the time since land abandonment and the supply of regulating ecosystem services. The recovery of natural vegetation leads to higher levels of carbon sequestration, more effective erosion mitigation, soil recovery and increased pollinator abundance. Cropland was proven to be a recipient of the services provided by natural ecosystems. Thus, the return of all uncultivated fields to agricultural use will cause a substantial decrease in the ecological value of the study area.","PeriodicalId":36908,"journal":{"name":"One Ecosystem","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44995491","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}
Troodos National Forest Park is located in the centre of Troodos mountain range and it is one of the most important natural environments of Cyprus. It has been included to the Natura 2000 network of the Island due to its important natural ecosystems and its great biodiversity. Based on the Common International Classification of Ecosystem Services (CICES 5.1), 36 ecosystem services have been identified in the area. The majority of ecosystem services are concentrated at the Troodos peak and the nearby areas. The same pattern applies for the Cultural Services. Provisioning and Regulation-Maintenance services are concentrated at the centre and western part of the site. The site’s habitat types were mapped and their distribution in the area is presented in respective maps. Carbon stored in plants was 622,705 tonnes in total (73.18 t C per ha), calculated as per habitat type (according to Directive 92/43/EEC - Habitats Directive) and as per TESSA habitat classification. Seven TESSA and 10 Annex I habitat types were identified. The largest part of the site is dominated by Evergreen Broadleaf Forests (7799 ha), followed by Mixed Forests (624 ha) and Deciduous Broadleaf Forests (60 ha). The carbon stock included in AGB (Above Ground Biomass), BGB (Below Ground Biomass), Dead Wood & Litter and SOM (Soil Organic Matter) was evaluated for each habitat type. The annual carbon biomass removal (roundwood and fuelwood) is 80.82 t C y-1 (0.009 t C y-1 per ha), while the carbon sequestered in Troodos National Forest Park is 11,880.33 t CO2 eq y-1 (0.38 t C y-1 per ha). The information produced serves as a useful tool to competent authorities for raising awareness on the importance of ecosystem services and increase the public’s support in the area’s conservation.
特罗多斯国家森林公园位于特罗多斯山脉的中心，是塞浦路斯最重要的自然环境之一。由于其重要的自然生态系统和丰富的生物多样性，它已被列入岛上的Natura 2000网络。根据国际生态系统服务功能共同分类(CICES 5.1)，确定了36种生态系统服务功能。大部分生态系统服务功能集中在Troodos峰及其附近地区。同样的模式也适用于文化服务。供应和管理-维护服务集中在基地的中部和西部。绘制了该地点的生境类型，并在各自的地图上展示了它们在该地区的分布。根据栖息地类型(根据指令92/43/EEC -栖息地指令)和TESSA栖息地分类计算，植物中储存的碳总量为622,705吨(每公顷73.18吨碳)。确定了7种TESSA和10种附件一生境类型。其中以常绿阔叶林(7799公顷)为主，其次是混交林(624公顷)和落叶阔叶林(60公顷)。对不同生境类型的地上生物量(AGB)、地下生物量(BGB)、枯枝凋落物和土壤有机质(SOM)中的碳储量进行了评价。年碳生物量去除量(圆木和薪材)为80.82 t cy -1(每公顷0.009 t cy -1)，而Troodos国家森林公园的碳固存量为11,880.33 t CO2当量-1(每公顷0.38 t cy -1)。所产生的信息是主管当局提高对生态系统服务重要性的认识和增加公众对该地区保护的支持的有用工具。
{"title":"Mapping and assessment of ecosystem services at Troodos National Forest Park in Cyprus","authors":"Constantinos Kounnamas, M. Andreou","doi":"10.3897/oneeco.7.e77584","DOIUrl":"https://doi.org/10.3897/oneeco.7.e77584","url":null,"abstract":"Troodos National Forest Park is located in the centre of Troodos mountain range and it is one of the most important natural environments of Cyprus. It has been included to the Natura 2000 network of the Island due to its important natural ecosystems and its great biodiversity. Based on the Common International Classification of Ecosystem Services (CICES 5.1), 36 ecosystem services have been identified in the area. The majority of ecosystem services are concentrated at the Troodos peak and the nearby areas. The same pattern applies for the Cultural Services. Provisioning and Regulation-Maintenance services are concentrated at the centre and western part of the site. The site’s habitat types were mapped and their distribution in the area is presented in respective maps. Carbon stored in plants was 622,705 tonnes in total (73.18 t C per ha), calculated as per habitat type (according to Directive 92/43/EEC - Habitats Directive) and as per TESSA habitat classification. Seven TESSA and 10 Annex I habitat types were identified. The largest part of the site is dominated by Evergreen Broadleaf Forests (7799 ha), followed by Mixed Forests (624 ha) and Deciduous Broadleaf Forests (60 ha). The carbon stock included in AGB (Above Ground Biomass), BGB (Below Ground Biomass), Dead Wood & Litter and SOM (Soil Organic Matter) was evaluated for each habitat type. The annual carbon biomass removal (roundwood and fuelwood) is 80.82 t C y-1 (0.009 t C y-1 per ha), while the carbon sequestered in Troodos National Forest Park is 11,880.33 t CO2 eq y-1 (0.38 t C y-1 per ha). The information produced serves as a useful tool to competent authorities for raising awareness on the importance of ecosystem services and increase the public’s support in the area’s conservation.","PeriodicalId":36908,"journal":{"name":"One Ecosystem","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44825990","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}
C. Farrell, Lisa Coleman, D. Norton, M. Kelly-Quinn, C. Obst, M. Eigenraam, C. O’Donoghue, Stephen Kinsella, F. Smith, Iseult Sheehy, J. Stout
The United Nations System of Environmental and Economic Accounting - Ecosystem Accounting (SEEA EA) is a geospatial approach, whereby existing data on ecosystem stocks and flows are collated to show changes over time. The framework has been proposed as a means to track and monitor ecosystem restoration targets across the EU. Condition is a key consideration in the conservation assessment of habitats protected under the EU Habitats Directive and ecosystem condition accounts are also integral to the SEEA EA. While SEEA EA accounts have been developed at EU level for an array for ecosystem types, condition accounts remain the least developed. Collating available datasets under the SEEA EA framework, we developed extent and rudimentary condition accounts for peatland ecosystems at catchment scale in Ireland. Information relating to peatland ecosystem sub-types or habitat types was collated for peatland habitats listed under Annex I of the EU Habitats Directive, as well as degraded peatlands not included in EU nature conservation networks. While data relating to peatland condition were limited, understanding changes in ecosystem extent and incorporating knowledge of habitat types and degradation served as a proxy for ecosystem condition in the absence of more comprehensive data. This highlighted the importance of the ecosystem extent account, which underpins all other accounts in the SEEA EA framework. Reflecting findings at EU level, drainage, disturbance and land conversion were identified as the main pressures affecting peatland condition. We highlighted a number of options to gather data to build more robust, time-series extent and condition accounts for peatlands at varying accounting scales. Overall, despite the absence of comprehensive data, bringing information under the SEEA EA framework is considered a good starting point, with the integration of expert ecological opinion considered essential to ensure development of reliable accounts, particularly when working at ecosystem sub-type (habitat type) and catchment scale.
{"title":"Developing peatland ecosystem accounts to guide targets for restoration","authors":"C. Farrell, Lisa Coleman, D. Norton, M. Kelly-Quinn, C. Obst, M. Eigenraam, C. O’Donoghue, Stephen Kinsella, F. Smith, Iseult Sheehy, J. Stout","doi":"10.3897/oneeco.6.e76838","DOIUrl":"https://doi.org/10.3897/oneeco.6.e76838","url":null,"abstract":"The United Nations System of Environmental and Economic Accounting - Ecosystem Accounting (SEEA EA) is a geospatial approach, whereby existing data on ecosystem stocks and flows are collated to show changes over time. The framework has been proposed as a means to track and monitor ecosystem restoration targets across the EU. Condition is a key consideration in the conservation assessment of habitats protected under the EU Habitats Directive and ecosystem condition accounts are also integral to the SEEA EA. While SEEA EA accounts have been developed at EU level for an array for ecosystem types, condition accounts remain the least developed. Collating available datasets under the SEEA EA framework, we developed extent and rudimentary condition accounts for peatland ecosystems at catchment scale in Ireland. Information relating to peatland ecosystem sub-types or habitat types was collated for peatland habitats listed under Annex I of the EU Habitats Directive, as well as degraded peatlands not included in EU nature conservation networks. While data relating to peatland condition were limited, understanding changes in ecosystem extent and incorporating knowledge of habitat types and degradation served as a proxy for ecosystem condition in the absence of more comprehensive data. This highlighted the importance of the ecosystem extent account, which underpins all other accounts in the SEEA EA framework. Reflecting findings at EU level, drainage, disturbance and land conversion were identified as the main pressures affecting peatland condition. We highlighted a number of options to gather data to build more robust, time-series extent and condition accounts for peatlands at varying accounting scales. Overall, despite the absence of comprehensive data, bringing information under the SEEA EA framework is considered a good starting point, with the integration of expert ecological opinion considered essential to ensure development of reliable accounts, particularly when working at ecosystem sub-type (habitat type) and catchment scale.","PeriodicalId":36908,"journal":{"name":"One Ecosystem","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47784076","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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