@article{Rodríguez-Rodríguez2021b,

title = {Potential contribution of OECMs to international area-based conservation targets in a biodiversity rich country, Spain},

author = {D. Rodríguez-Rodríguez and A. Sánchez-Espinosa and D. Abdul-Malak},

url = {https://doi.org/10.1016/j.jnc.2021.126019},

doi = {10.1016/j.jnc.2021.126019},

year  = {2021},

date = {2021-05-15},

journal = {Journal for Nature Conservation},

volume = {62},

abstract = {Other effective area-based conservation measures (OECMs) are new conservation tools intended to complement protected areas (PAs) at achieving effective biodiversity conservation and meeting international area-based targets. However, OECMs have been rarely considered in practical terms until recently. Here, we performed a rapid evaluation on the degree of fulfilment of current area-based international biodiversity targets, post-2020 foreseeable oncoming targets, and ecological targets by considering: 1) Protection coverage; 2) Inclusiveness of important areas for biodiversity; 3) Protection management; 4) Connectivity; and 5) Habitat representation, on land and at sea in Spain, a Euro-Mediterranean, biodiversity rich country. We conducted the evaluation under two scenarios: 1) Scenario 1 considers designated PAs; and 2) Scenario 2, that also includes potential OECMs. In order to generate Scenario 2, thirteen legal categories were assessed against international guidance on OECMs as a first step to screen their likelihood of providing OECMs in Spain. Our findings show that some potentially satisfactory OECM categories such as Public Utility Forests, River Reserves or Geoparks meet the OECM criteria to a large degree and deserve further study. Our results also highlight that Spain is currently well above most foreseeable post-2020 biodiversity targets and even close to some ecological targets using just PAs, except for marine protected area (MPA) management and MPA offshore coverage. Adding OECMs would noticeably improve the country’s figures yet without reaching many exigent ecological targets. OECMs can become a useful, cost-effective biodiversity conservation tool that contributes to international targets under new, more ambitious area-based conservation requirements in Spain and elsewhere. Nevertheless, for this to happen, suitable biodiversity management and monitoring schemes must be ensured.},

keywords = {Biodiversity, Conservation and management, Ecosystem, Environmental conservation, Marine protected areas, Protected areas},

pubstate = {published},

tppubtype = {article}

}

@article{Sánchez-Espinosa2019b,

title = {Land use and land cover mapping in wetlands one step closer to the ground: Sentinel-2 versus Landsat 8},

author = {A. Sánchez-Espinosa and C. Schröder},

url = {https://www.sciencedirect.com/science/article/pii/S0301479719308850},

doi = {10.1016/j.jenvman.2019.06.084},

year  = {2019},

date = {2019-10-01},

journal = {Journal of Environmental Management},

volume = {247},

pages = {484-498},

abstract = {Environmental studies with Landsat images have revealed many of the problems faced by wetland ecosystem, which are crucial for the conservation of biodiversity and the natural values of our planet. The study of LULC changes in wetlands through remote sensing constantly helps to identify and combat their main environmental threats improving the conservation of these natural habitats. Starting in mid-2015, the Sentinel-2 satellite opens new possibilities in the field of earth observation thanks to its higher spatial, spectral and temporal resolution becoming a powerful source of information for LULC monitoring in wetland areas. However, researchers may ask them selves to what extent Sentinel-2 is an improvement over Landsat 8 for general purposes. This research test if there is a real difference in the quality of the results delivered by both Sentinel-2 and Landsat 8 imagery when basic classification methods are applied.



The study uses Sentinel-2 and Landsat 8 imagery to produce LULC maps in a Mediterranean wetland area applying an object based classification method in order to compare the accuracy and reliability in the surface detected by both satellites. The results show that an object based classification using only the Sentinel-2 and Landsat 8 image information, without band indexes or ancillary data, offers very similar results for most LULC classes, being the overall accuracy around 87–88% with slightly better results when using Sentinel-2. Although using Sentinel-2 leads to an increase in file size and processing times, the analysis of certain LULC classes presents an improvement compared to Landsat 8, detecting more linear and small size elements with a better delineation of image features in the classified map. However, these improvements should not underestimate the value of Landsat imagery in the future since both satellites provide high precision information, so they can and should coexist and be used together to increase data availability in order to have the best possible results in remote sensing research.},

keywords = {Geotechnology, Land and soil, SWOS, Wetlands},

pubstate = {published},

tppubtype = {article}

}

@article{Weise2019,

title = {Wetland extent tools for SDG 6.6.1 reporting from the Satellite-based Wetland Observation Service (SWOS)},

author = {K. Weise and R. Höfer and J. Franke and A. Guelmami and W. Simonson and J. Muro and B. O'Connor and A. Strauch and S. Flink and J. Eberle and E. Mino and S. Thulin and P. Philipson and E. van Valkengoed and J. Truckenbrodt and F. Zander and A. Sánchez-Espinosa and C. Schröder and F. Thinfeld and E. Fitoka and E. Scott and M. Ling and M. Schwarz and I. Kunz and G. Thürmer and A. Plasmeijer and L. Hilarides},

url = {https://doi.org/10.1016/j.rse.2020.111892},

doi = {https://doi.org/10.1016/j.rse.2020.111892},

year  = {2019},

date = {2019-09-15},

journal = {Remote Sensing of Environment},

volume = {247},

abstract = {Wetlands are the most fragile and threatened ecosystems worldwide, and also one of the most rapidly declining. At the same time wetlands are typically biodiversity hotspots and provide a range of valuable ecosystem services, such as water supply and purification, disaster risk reduction, climate change adaptation, and carbon sequestration.



Pressures on wetlands are likely to further intensify in the coming decades due to increased global demand for land and water, and due to climate change. Stakeholders at all levels of governance have to be involved to slow, stop and reverse these processes. However, the information they need on wetland extent, their ecological character, and their ecosystem services is often scattered, sparse and difficult to find and access.



The freely available Sentinel satellite data of the Copernicus Programme, as well as the Landsat archive, provide a comprehensive basis to map and inventory wetland areas (extent), to derive information on the ecological status, as well as long- and short-term trends in wetland characteristics. However, making use of these Earth Observation (EO) resources for robust and standardized wetland monitoring requires expert knowledge on often complex data processing techniques, which impedes practical implementation. In this respect, the Satellite-based Wetland Observation Service (SWOS), a Horizon 2020 funded project (www.swos-service.eu) has developed and made disseminated monitoring approaches based on EO data, specifically designed for less experienced satellite data users.



The SWOS monitoring tools aim at assisting countries in conducting national wetland inventories for their Sustainable Development Goals (SDG) reporting and monitoring obligations, and additionally facilitates other monitoring obligations such as those required by the Ramsar Convention and supports decision-making in local conservation activities. The four main components of the SWOS approach are: map and indicator production; software development; capacity building; and initializing the GEO Wetlands Community Portal. Wetland managers and data analysists from more than fifty wetland sites and river basins across Europe, the Middle East, and Africa investigated the benefits and limitations of this EO-based wetland mapping and monitoring approach.



We describe research that applies the SWOS tools to test their potential for the mapping of wetlands in a case study based in Albania, and show its effectiveness to derive metrics relevant to the monitoring of SDG indicator 6.6.1.},

keywords = {Climate Change, Conservation and management, Environmental conservation, SWOS, Wetlands},

pubstate = {published},

tppubtype = {article}

}

@article{Rodríguez-Rodríguez2016d,

title = {Achieving Blue Growth through maritime spatial planning: Offshore wind energy optimization and biodiversity conservation in Spain},

author = {D. Rodríguez-Rodríguez and D. Abdul-Malak and T. Soukissian and A. Sánchez-Espinosa},

url = {https://www.researchgate.net/publication/305824278_Achieving_Blue_Growth_through_maritime_spatial_planning_Offshore_wind_energy_optimization_and_biodiversity_conservation_in_Spain},

doi = {10.1016/j.marpol.2016.07.022},

year  = {2016},

date = {2016-11-01},

journal = {Marine Policy},

volume = {73},

pages = {8-14},

abstract = {Spain has a high potential for renewable energy production, being the world's third country by installed on-shore wind power. However, it has not yet fully developed its renewable energy production capacity, with no commercial offshore wind production to date, and remains highly dependent on fossil fuel imports. The country is also one of Europe's most biodiverse, on land and at sea. This study spatially assesses the country's offshore wind energy potential by incorporating the newly designated marine protected areas (MPAs) to the official Spanish strategic environmental assessment for the installation of offshore windfarms (SEA). It also identifies optimal areas for offshore windfarm development according to key physical variables such as wind speed, depth and substrate type. It finally assesses real commercial windfarm projects against current environmental constraints. The results show that nearly 50% of the whole area within 24 nm from the Spanish coast could be suitable for offshore windfarm development at the planning phase. However, only 0.7% of that area is optimal for wind energy production with current fixed turbine technology. Nevertheless, either area would allow Spain to meet its national targets of 750 MW of ocean power capacity installed by 2020 under adequate local wind conditions. Over 88% of all commercial windfarm project area is within the SEA's Exclusion zone, thus unfeasible under current circumstances. Technological breakthroughs like floating turbines may soon make the optimal windfarm area (OWA) less restrictive and reduce current environmental impacts of marine windfarms within a truly sustainable Blue Growth.},

keywords = {Biodiversity, Blue Growth, Climate Change, Conservation and management, Pressures},

pubstate = {published},

tppubtype = {article}

}

@article{Rodríguez-Rodrígueza2015,

title = {Cumulative pressures and low protection: a concerning blend for Mediterranean MPAs},

author = {D. Rodríguez-Rodríguez and A. Sánchez-Espinosa and C. Schröder and D. Abdul-Malak and J. Rodríguez},

url = {https://www.sciencedirect.com/science/article/pii/S0025326X15300540},

doi = {https://doi.org/10.1016/j.marpolbul.2015.09.039},

year  = {2015},

date = {2015-12-01},

journal = {Marine Pollution Bulletin},

volume = {101},

pages = {288-295},

abstract = {This study classifies Mediterranean marine protected areas (MPAs) according to the combined result of pressure level and protection. Six major marine environment pressures were considered: pressures from fish farms, fishing, marine litter, pressures from marinas, pollution from maritime transport, and climate change. MPA protection was assessed through legal protection and management effort. Most MPA area in the Mediterranean is under relatively high pressure level and afforded low protection. Inshore areas show higher pressure levels. Five marine ecoregions, nine countries and nineteen MPA designation categories have over 50% of their MPA area under major concern. The mean number of cumulative pressures occurring in priority MPAs ranges between three and four, although the mean combined intensity of those pressures is low. However, these figures are most likely underestimated, especially for the southern Mediterranean. The most concerning pressures to MPAs regarding extent and intensity were: climate change, fishing and pollution from maritime transport.},

keywords = {Climate Change, Marine protected areas, Mediterranean sea, Pressures},

pubstate = {published},

tppubtype = {article}

}

@article{Sánchez-Espinosa2015,

title = {Development of an Indicator to Monitor Mediterranean Wetlands},

author = {A. Sánchez-Espinosa and D. Abdul-Malak and A. Guelmami and C. Perennou},

url = {http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0122694},

doi = {https://doi.org/10.1371/journal.pone.0122694},

year  = {2015},

date = {2015-03-31},

journal = {Plos One},

volume = {10},

number = {3},

abstract = {Wetlands are sensitive ecosystems that are increasingly subjected to threats from anthropogenic factors. In the last decades, coastal Mediterranean wetlands have been suffering considerable pressures from land use change, intensification of urban growth, increasing tourism infrastructure and intensification of agricultural practices. Remote sensing (RS) and Geographic Information Systems (GIS) techniques are efficient tools that can support monitoring Mediterranean coastal wetlands on large scales and over long periods of time. The study aims at developing a wetland indicator to support monitoring Mediterranean coastal wetlands using these techniques. The indicator makes use of multi-temporal Landsat images, land use reference layers, a 50m numerical model of the territory (NMT) and Corine Land Cover (CLC) for the identification and mapping of wetlands. The approach combines supervised image classification techniques making use of vegetation indices and decision tree analysis to identify the surface covered by wetlands at a given date. A validation process is put in place to compare outcomes with existing local wetland inventories to check the results reliability. The indicator´s results demonstrate an improvement in the level of precision of change detection methods achieved by traditional tools providing reliability up to 95% in main wetland areas. The results confirm that the use of RS techniques improves the precision of wetland detection compared to the use of CLC for wetland monitoring and stress the strong relation between the level of wetland detection and the nature of the wetland areas and the monitoring scale considered.},

keywords = {Geotechnology, Wetlands},

pubstate = {published},

tppubtype = {article}

}