Chemical footprints of anthropogenic nitrogen deposition on recent soil C : N ratios in Europe

Abstract. Long-term human interactions with the natural landscape have produced a plethora of trends and patterns of environmental disturbances across time and space. Nitrogen deposition, closely tracking energy and land use, is known to be among the main drivers of pollution, affecting both freshwater and terrestrial ecosystems. We present a statistical approach for investigating the historical and geographical distribution of nitrogen deposition and the impacts of accumulation on recent soil carbon-to-nitrogen ratios in Europe. After the second Industrial Revolution, large swaths of land emerged characterized by different atmospheric deposition patterns caused by industrial activities or intensive agriculture. Nitrogen deposition affects soil C : N ratios in a still recognizable way despite the abatement of oxidized and reduced nitrogen emissions during the last 2 decades. Given a seemingly disparate land-use history, we focused on ~ 10 000 unmanaged ecosystems, providing statistical evidence for a rapid response of nature to the chronic nitrogen supply through atmospheric deposition

Key fundamental aspects for mapping and assessing ecosystem services: Predictability of ecosystem service providers at scales from local to global

How an apparent static and ordered landscape condition in social ecological landscapes (SELs), can be made sustainable in terms of maintenance and improvement of the provision of ecosystem services (ESs) in face of unpredictable disturbance and change? Our contribution to the Mapping and Assessment of Ecosystem Services (MAES) working group is to advance some recommendations on how to approach the dynamic analysis of complex adaptive systems to improve ecosystem resilience, habitat connectivity and the delivery of ESs. We show exemplary cases where we utilize the NDVI provided by remote sensing to evaluate land cover transformations and processes and ES provisioning. We focus on NDVI because it allows the supply of information on net primary production, i.e., the energetic foundation of nearly all ecosystems and that provides the basis of most of ESs. The use of spectral entropy, and nonlinear analysis of spatial temporal dynamics to investigate trajectory predictability of SELs provide very useful insight into the dynamics of SELs and can assist in the characterization of the links between land cover patterns with ecological processes to support more reliable assessments and accountings of ESs

Chemical footprints of anthropogenic nitrogen deposition on recent soil C : N ratios in Europe

Long-term human interactions with the natural landscape have produced a plethora of trends and patterns of environmental disturbances across time and space. Nitrogen deposition, closely tracking energy and land use, is known to be among the main drivers of pollution, affecting both freshwater and terrestrial ecosystems. We present a statistical approach for investigating the historical and geographical distribution of nitrogen deposition and the impacts of accumulation on recent soil carbon-to-nitrogen ratios in Europe. After the second Industrial Revolution, large swaths of land emerged characterized by different atmospheric deposition patterns caused by industrial activities or intensive agriculture. Nitrogen deposition affects soil C : N ratios in a still recognizable way despite the abatement of oxidized and reduced nitrogen emissions during the last 2 decades. Given a seemingly disparate land-use history, we focused on ~ 10 000 unmanaged ecosystems, providing statistical evidence for a rapid response of nature to the chronic nitrogen supply through atmospheric deposition

KEY FUNDAMENTAL ASPECTS FOR MAPPING AND ASSESSING ECOSYSTEM SERVICES: PREDICTABILITY OF ECOSYSTEM SERVICE PROVIDERS AT SCALES FROM LOCAL TO GLOBAL.

How an apparent static and ordered landscape condition in social ecological landscapes (SELs), can be made sustainable in terms of maintenance and improvement of the provision of ecosystem services (ESs) in face of unpredictable disturbance and change? Our contribution to the Mapping and Assessment of Ecosystem Services (MAES) working group is to advance some recommendations on how to approach the dynamic analysis of complex adaptive systems to improve ecosystem resilience, habitat connectivity and the delivery of ESs. We show exemplary cases where we utilize the NDVI provided by remote sensing to evaluate land cover transformations and processes and ES provisioning. We focus on NDVI because it allows the supply of information on net primary production, i.e., the energetic foundation of nearly all ecosystems and that provides the basis of most of ESs. The use of spectral entropy, and nonlinear analysis of spatial temporal dynamics to investigate trajectory predictability of SELs provide very useful insight into the dynamics of SELs and can assist in the characterization of the links between land cover patterns with ecological processes to support more reliable assessments and accountings of ESs.</p