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In this opinion article, we introduce a novel framework showing how Earth observation together with socioeconomic information and model-based analysis can support assessments of ecosystem service supply, demand, and benefit. The paper also proposes five priorities to advance the capabilities of Earth observation-based monitoring of ecosystem services (e.g., in the context of the SDGs).
Understanding temporal and spatial dimensions of land cover dynamics is a critical factor to link ecosystem transformation to land and environmental management. Our analysis underlines the importance of expanding temporal resolution in land cover/use change studies to guide sustainable ecosystem management strategies as increase landscape connectivity and integrate landscape planning to economic activities.
Biodiversity conservation and agricultural production are often seen as mutually exclusive objectives. We discuss that harmonization between biodiversity conservation and crop production can be improved and provide a general conceptual framework that links biodiversity and agricultural production.
This study addresses trade‐offs between providing sufficient food in the future and sustaining biodiversity by investigating (1) how global expansion of cropland might affect food production and prices, (2) where environmental conditions favor cropland expansion under changing climate, and (3) whether potential conversion to cropland would affect areas of high biodiversity or conservation importance.
Pollination is an ecosystem function that varies at local spatial scales. We sampled vascular plant species composition (100 plots) and used hyperspectral remotely sensed data together with machine learning techniques to quantify and map the resulting patterns for a better understanding of ecosystem functioning. Pollination types and optical traits (LAI, dry matter content) were significantly correlated up to R2=0.813. The spatial distribution of pollination types could be statistically modelled with a RMSE < 10.5%. The results show that pollination types are indeed related to canopy reflectance in a way that allows their mapping using remote sensing but transferability to other ecosystem has still to be tested.
While anthropogenic habitat fragmentation increasingly disrupts connectivity in many species, potential habitats acting as inter-population connectivity corridors are mostly ignored in the common practice of environmental planning. In this study, we use fine-scale potential connectivity models (PCMs) derived from multispectral satellite data for the quantification of spatially explicit habitat corridors for matrix-sensitive species of conservation concern. We illustrate our approach using the sand lizard (Lacerta agilis L.) in the metropolitan area of Cologne, Germany, as a case study.
In this paper, we focused on the recreational activity of ‘geocaching’ (www.geocaching.com), a worldwide outdoor game in which the participants use a GPS receiver to hide and seek containers. We used Leipzig as a case study and analyzed georeferenced localities of geocaches together with quantitative results of an online survey. We found that, while geocachers may have quite different motivations to participate in the activity, geocaching is indeed a type of local recreation and an indicator for urban ecosystem services, as green areas and experiences in nature are important.
Mapping global land system archetypes provides a new representation of global land systems based on more than 30 high-resolution datasets on land-use intensity, environmental conditions and socioeconomic indicators. This approach advances our under-standing of the global patterns of human-environment interactions and of the environmental and social conditions associated with different types of land use.
The publication provides perspectives on the application of exploratory modelling, esp. optimization for a quantitative analysis of trade-off of different types of land use in multifunctional landscape. We also discuss the integration of these as well as scenario analysis for solving regional as well as global aspect of land use conflicts.
Remote sensing is an important tool for studying patterns in surface processes on different spatiotemporal scales. However, differences in the spatiospectral and temporal resolution of remote sensing data as well as sensor-specific surveying characteristics very often hinder comparative analyses and effective up- and downscaling analyses. This paper presents a new methodical framework for combining hyperspectral remote sensing data on different spatial and temporal scales using the “One Sensor at Different Scales” (OSADIS) approach for the laboratory (plot), field (local), and landscape (regional) scales.
Based on global data on land use and time series for production quantities and production prices of pollination dependent crops, an global increase in pollination benefits was shown and regional hotspots of pollination benefits were identified.
This European wide analysis of urban heat island on the base of remote sensing data based on 263 cities revealed the variation of classical urban heat island indicators and identified the need to comparatively quantify several indicators of urban heat islands in parallel to foster comparability.
The study shows that ensemble modeling with multiple precipitation inputs can considerably increase the level of confidence in hydrological simulation results, particularly in data-poor regions.