scholarly journals Evolution of Land Cover and Ecosystem Services in the Frame of Pastoral Functional Categories: A Case Study in Swedish Lapland

2020 ◽  
Vol 12 (1) ◽  
pp. 390
Author(s):  
Romain Courault ◽  
Marianne Cohen

Ecosystem services (ES) are a key-component for sustainable management of human–environment systems, particularly in polar environments where effects of global changes are stronger. Taking local knowledge into account allows the valuation of ES experienced by stakeholders. It is the case for reindeer herders in Scandinavia, the ungulate being a keystone specie for subarctic socio-ecosystems. We adapt the ecosystem services assessment (ESA) proposed in Finland to the case study of the Gabna herders’ community (Sweden), considering its cultural, geographical, and dynamic specificities. We used Saami ecological categories over the land-use categories of the CORINE Land Cover (CLC). We reassessed ES at the scale of the Gabna community and its seasonal pastures. We studied their evolution over 2000–2018, using CLC maps and Change CLC maps. Integration of Saami ecological categories in the classification of land cover did not substantially change the land cover distributions. However, ES were greater in Saami land use compared to other CLC categories. Cultural services were higher for summer and interseasonal pastures, dedicated to the reindeer reproduction, suggesting interactions between provisioning and cultural ES. Land cover changes are mostly represented by intensive forestry (5% of winter pastures) impeding reindeer grazing activity, while other seasonal pasture landscape composition stayed comparable along time. Consequently, forest activity, and in a lesser extent glacier melting and urbanization are the main drivers of the temporal evolution of ES. In the frame of pastoral landscapes conservation, the use of local terminologies opens perspectives for a holistic approach in environmental science. It raises the importance of local stakeholders as co-researchers in nature conservation studies.

Author(s):  
Fatemeh Adelisardou ◽  
Hamid Reza Jafari ◽  
Bahram Malekmohammadi ◽  
Tatiana Minkina ◽  
Wenwu Zhao ◽  
...  

Land ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 336
Author(s):  
Ileana Pătru-Stupariu ◽  
Constantina Alina Hossu ◽  
Simona Raluca Grădinaru ◽  
Andreea Nita ◽  
Mihai-Sorin Stupariu ◽  
...  

Global changes impact the human-environment relationship, and, in particular, they affect the provision of ecosystem services. Mountain ecosystems provide a wide range of such services, but they are highly sensitive and vulnerable to change due to various human pressures and natural processes. We conducted a literature survey that focused on two main issues. The first was the identification of quantitative methods aimed at assessing the impact of land use changes in mountain regions and the related ecosystem services. The second was the analysis of the extent to which the outcomes of these assessments are useful and transferable to stakeholders. We selected papers through a keyword-driven search of the ISI Web of Knowledge and other international databases. The keywords used for the search were mountain land use change and ecosystem service. Quantitative approaches to ecosystem service assessment rely on suitable indicators, therefore land use/land cover can be used as an appropriate proxy. Landscape metrics are a powerful analytical tool; their use can increase the accuracy of assessments and facilitate the mitigation of specific phenomena, such as fragmentation or the reduction of core habitat areas. Mapping is essential: it is the basis for spatial analyzes and eases the interactions between stakeholders. Land use/land cover change is a temporal process, so both past and future approaches are meaningful. It is necessary to enhance information transfer from theory to practice. Increasing stakeholder awareness can lead to suitable management solutions, and, reciprocally, stakeholder feedback can help improve current assessment methodologies and contribute to developing new tools that are suitable for specific problems.


One Ecosystem ◽  
2021 ◽  
Vol 6 ◽  
Author(s):  
Ina M. Sieber ◽  
Malte Hinsch ◽  
Marta Vergílio ◽  
Artur 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.


2017 ◽  
Vol 04 (03) ◽  
pp. 272-277
Author(s):  
Tawhida A. Yousif ◽  
Nancy I. Abdalla ◽  
El-Mugheira M. Ibrahim ◽  
Afraa M. E. Adam

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