scholarly journals Interacting Regional-Scale Regime Shifts for Biodiversity and Ecosystem Services

BioScience ◽  
2014 ◽  
Vol 64 (8) ◽  
pp. 665-679 ◽  
Author(s):  
Paul Leadley ◽  
Vânia Proença ◽  
Juan Fernández-Manjarrés ◽  
Henrique Miguel Pereira ◽  
Rob Alkemade ◽  
...  
2021 ◽  
Author(s):  
Melissa Latella ◽  
Arjen Luijendijk ◽  
Carlo Camporeale

<p>Coastal sand dunes provide a large variety of ecosystem services, among which the inland protection from marine floods. Nowadays, this protection is fundamental, and its importance will further increase in the future due to the rise of the sea level and storm violence induced by climate change. Despite the crucial role of coastal dunes and their potential application in mitigation strategies, the phenomenon of the coastal squeeze, which is mainly caused by the urban sprawl, is progressively reducing the extents of the areas where dune can freely undergo their dynamics, thus dramatically impairing their capability of providing ecosystem services.</p><p>Aiming to embed the use of satellite images in the study of coastal foredune and beach dynamics, we developed a classification algorithm that uses the satellite images and server-side functions of Google Earth Engine (GEE). The algorithm runs on the GEE Python API and allows the user to retrieve all the available images for the study site and the chosen time period from the selected sensor collection. The algorithm also filters the cloudy and saturated pixels and creates a percentile-composite image over which it applies a random forest classification algorithm. The classification is finally refined by defining a mask for land pixels only. </p><p>According to the provided training data and sensor selection, the algorithm can give different outcomes, ranging from sand and vegetation maps, beach width measurements, and shoreline time evolution visualization. This very versatile tool that can be used in a great variety of applications within the monitoring and understanding of the dune-beach systems and associated coastal ecosystem services. For instance, we show how this algorithm, combined with machine learning techniques and the assimilation of real data, can support the calibration of a coastal model that gives the natural extent of the beach width and that can be, therefore, used to plan restoration activities. </p>


2019 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Ana Paula Dias Turetta ◽  
Bruno Pedrosa ◽  
Luca Eufemia ◽  
Michelle Bonatti ◽  
Stefan Sieber

Open data are important for adding legitimacy and transparency to public sciences. These data have also a potential to be used as a first approach for scientific investigation, such as spatial evaluation of ecosystem services. This paper presents a methodological approach to evaluate the trade-offs between agriculture and supporting ecosystem services based on spatial analysis and open data. The study area is an important agricultural production region in Bahia State, Brazil. The framework was able to establish the spatial interactions between agriculture and ecosystem service provision, while the regional scale was useful in supporting guidelines regarding sustainable land use for agricultural areas.


2020 ◽  
Vol 66 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Annette B. G. Janssen ◽  
Sabine Hilt ◽  
Sarian Kosten ◽  
Jeroen J. M. Klein ◽  
Hans W. Paerl ◽  
...  

2020 ◽  
Author(s):  
Filippo Carlo Pavesi ◽  
Stefano Barontini ◽  
Michele Pezzagno

<p>Data on natural disasters shows that cities worldwide are increasingly exposed to the risk of negative consequences. Storms and floods are among the main causes of casualties and economic losses. Moreover climatic and anthropogenic changes, urbanization and other land use transformation may contribute to increase hydrogeological hazard and risk, both in mountain valleys and in floodplain areas. On the other hand well managed soil may offer many water—regulating ecosystem services. Given that the hydrological and hydraulic dynamics commonly involve a great area, which is also upstream and surrounding the city, therefore a paradigm shift both in urban and land planning is needed, in order to integrate hazard perception and risk culture in plans. This integration also requires practices of soil conservation.</p><p>Literature underlines that, in order to achieve the transition to resilient communities, it is necessary (a) to reduce soil sealing, (b) to improve the benefits of ecosystem services as part of the plan strategies, (c) to enhance the key role that landscape planning can play in environmental protection. However, in most of the current urban and spatial plans in Italy these strategic guidelines are still ignored.</p><p>In order to address these critical issues we propose a method to classify rural areas which considers both landscape and hydrological peculiarities, in order to identify, at the regional scale, the most suitable areas to plan and design the landscape. We therefore propose to identify such a kind of landscape with the definition of a “sponge land(scape)”, which aims at extending the affirmed concept of “sponge cities” to rural areas. This approach to land management may contribute to the mitigation of hydrogeological hazard and risk, by means of preserving the regulating soil ecosystem services. At the same time it will improve both the resilience level of urban areas and the ecosystems living conditions.</p><p>The method is tested in Italy, where, according to the “Report on hazard and risk indicators about landslides and floods in Italy” (ISPRA, 2018) more than ninety percent of Italian municipalities are exposed to the hydrogeological risk. The collaboration between researchers belonging to the disciplines of spatial planning (i.e. town and regional planning) and soil hydrology was considered strategic. In particular, it allows to take advantage of specialized hydrology geo-datasets into spatial planning, which are usually not taken into account. As a first step, Hydrological Soil Groups were considered in the planning procedure. Data integration in GIS made it possible to create new maps which allow priority area to emerge for ”sponge landscaping actions”, such as the adoption of Nature Based Solution or Natural Water Retention Measures. These contribute both to the mitigation of hydraulic risk and to the maximization of other complementary ecosystem services (e.g. biodiversity preservation, climate change adaptation and mitigation, erosion/sediment control).</p>


2021 ◽  
Vol 52 ◽  
pp. 101363
Author(s):  
Melanie Feurer ◽  
Henri Rueff ◽  
Enrico Celio ◽  
Andreas Heinimann ◽  
Juergen Blaser ◽  
...  

Author(s):  
Maija Ušča ◽  
Ivo Vinogradovs ◽  
Agnese Reķe ◽  
Dāvis Valters Immurs ◽  
Anita Zariņa

Ecosystem services (ES) are defined as the benefits that human beings derive from ecosystem functions. Assessment and mapping of these benefits are crucial for sustainable environmental planning and future natural capital. Green infrastructure (GI) is natural or semi-natural territories that provide wide range of ES. Human affected ecosystems tend to fail to provide certain sets of ES due to the trade-offs among those services, which could be mitigated through implementation of GI. Mapping of ES, as well as assessing the interactions among various ES and analysing their supply potential’s cold/hot spots considerably enhances and substantiates the planning process of GI, particularly at the regional scale and for the territories with diverse landscape potential. The aim of this paper is to discuss the assessment of ES supply potential and analyse its spatial distribution to reveal cold/hot spots of ecosystem capacity to provide wide range services and functions for GI. The study presents GIS based assessment of ES in a case study of Zemgale Planning Region. ES supply potential was assessed for 27 Corine land use classes (CLC2018) together with 10 regulatory, 12 provisioning and 6 cultural ES. An expert-based ranking approach using a two-dimensional ES matrix and a geospatial analysis was applied to determine total ES supply potential, spatial patterns and relations among multiple ES. Additional statistical analysis (Getis-Ord Gi*) was performed on spatial distribution of regulatory ES to disclose statistically significant capacity of ecosystems to function as GI in given surroundings. Preliminary results show uneven distribution of ES, trade-offs between regulatory and provisioning ES and landscape dependent spatial clustering of these trade-offs supported by result of Getis-Ord Gi* analysis, thus laying a foundation for further planning of GI at the regional scale.


2019 ◽  
Vol 11 (8) ◽  
pp. 2203 ◽  
Author(s):  
Yafeng Lu ◽  
Qinwen Li ◽  
Pei Xu ◽  
Yukuan Wang

Cultural ecosystem services (CES) are not only a key source for supporting the development of economy but also maintain the ecological security in mountainous areas. However, there are limited numbers of studies that focus on establishing the assessment model for the CES at a regional scale. We combined the topographic factors and accessibility factors to quantify the distribution of CES and tested the approach with data on road and topography in the upper reaches of the Minjiang River. The results showed that the areas with high CES were located in the southwestern part of the study area, where it was convenient traffic and rare topography. Results from our approach were likely to support the development of local tourism industry because the distribution of CES was consistent with current hotspots for scenic spots. Meanwhile, we found that the area with high rarity and low accessibility should improve accessibility in order to enhance the capacity of CES. The assumptions applied in our approach highlighted the impacts of complex topography on CES, which could be suitable for the area with a lack of data. Moreover, our approach provided an effective way to assess CES for creating management strategies and enhancing capacity in mountainous areas.


2013 ◽  
Vol 32 ◽  
pp. 157-171 ◽  
Author(s):  
Lars Koschke ◽  
Christine Fürst ◽  
Marco Lorenz ◽  
Anke Witt ◽  
Susanne Frank ◽  
...  

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