{"type": "FeatureCollection", "features": [{"id": "10.1007/s13280-015-0751-8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T06:56:10Z", "type": "Journal Article", "created": "2016-01-07", "title": "The role of biogeochemical hotspots, landscape heterogeneity, and hydrological connectivity for minimizing forestry effects on water quality", "description": "Protecting water quality in forested regions is increasingly important as pressures from land-use, long-range transport of air pollutants, and climate change intensify. Maintaining forest industry without jeopardizing sustainability of surface water quality therefore requires new tools and approaches. Here, we show how forest management can be optimized by incorporating landscape sensitivity and hydrological connectivity into a framework that promotes the protection of water quality. We discuss how this approach can be operationalized into a hydromapping tool to support forestry operations that minimize water quality impacts. We specifically focus on how hydromapping can be used to support three fundamental aspects of land management planning including how to (i) locate areas where different forestry practices can be conducted with minimal water quality impact; (ii) guide the off-road driving of forestry machines to minimize soil damage; and (iii) optimize the design of riparian buffer zones. While this work has a boreal perspective, these concepts and approaches have broad-scale applicability.", "keywords": ["0106 biological sciences", "Conservation of Natural Resources", "Skogsvetenskap", "Geography", " Planning and Development", "01 natural sciences", "Article", "Minimizing forestry effects", "Water Quality", "Environmental Chemistry", "Biomass", "14. Life underwater", "Groundwater", "0105 earth and related environmental sciences", "Ekologi", "Sweden", "Ecology", "Forest Science", "Landscape heterogeneity", "Forestry", "15. Life on land", "Milj\u00f6vetenskap", "Hydrological connectivity", "6. Clean water", "Biogeochemical hotspots", "Environmental Policy", "Water quality", "13. Climate action", "Environmental Sciences", "Environmental Monitoring"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s13280-015-0751-8"}, {"href": "https://doi.org/10.1007/s13280-015-0751-8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ambio", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s13280-015-0751-8", "name": "item", "description": "10.1007/s13280-015-0751-8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s13280-015-0751-8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-07T00:00:00Z"}}, {"id": "10.1007/s13593-022-00773-9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T06:56:10Z", "type": "Journal Article", "created": "2022-05-16", "title": "Soil compaction raises nitrous oxide emissions in managed agroecosystems. A review", "description": "Abstract

Nitrous oxide (N2O) is the contributor to agricultural greenhouse gas emissions with the highest warming global potential. It is widely recognised that traffic and animal-induced compaction can lead to an increased potential for N2O emissions by decreasing soil oxygen supply. The extent to which the spatial and temporal variability of N2O emissions can be explained by soil compaction is unclear. This review aims to comprehensively discuss soil compaction effects on N2O emissions, and to understand how compaction may promote N2O emission hotspots and hot moments. An impact factor of N2O emissions due to compaction was calculated for each selected study; compaction effects were evaluated separately for croplands, grasslands and forest lands. Topsoil compaction was found to increase N2O emissions by 1.3 to 42 times across sites and land uses. Large impact factors were especially reported for cropland and grassland soils when topsoil compaction\uffe2\uff80\uff94induced by field traffic and/or grazing\uffe2\uff80\uff94is combined with nitrogen input from fertiliser or urine. Little is known about the contribution of subsoil compaction to N2O emissions. Water-filled pore space is the most common water metric used to explain N2O emission variability, but gas diffusivity is a parameter with higher prediction potential. Microbial community composition may be less critical than the soil environment for N2O emissions, and there is a need for comprehensive studies on association between environmental drivers and soil compaction. Lack of knowledge about the interacting factors causing N2O accumulation in compacted soils, at different degrees of compactness and across different spatial scales, limits the identification of high-risk areas and development of efficient mitigation strategies. Soil compaction mitigation strategies that aim to loosen the soil and recover pore system functionality, in combination with other agricultural management practices to regulate N2O emission, should be evaluated for their effectiveness across different agro-climatic conditions and scales.Extremely high land surface temperatures affect soil ecological processes, alter land\uffe2\uff80\uff90atmosphere interactions, and may limit some forms of life. Extreme surface temperature hotspots are presently identified using satellite observations or deduced from complex Earth system models. We introduce a simple, yet physically based analytical approach that incorporates salient land characteristics and atmospheric conditions to globally identify locations of extreme surface temperatures and their upper bounds. We then provide a predictive tool for delineating the spatial extent of land hotspots at the limits to biological adaptability. The model is in good agreement with satellite observations showing that temperature hotspots are associated with high radiation and low wind speed and occur primarily in Middle East and North Africa, with maximum temperatures exceeding 85\uffc2\uffb0C during the study period from 2005 to 2020. We observed an increasing trend in maximum surface temperatures at a rate of 0.17\uffc2\uffb0C/decade. The model allows quantifying how upper bounds of extreme temperatures can increase in a warming climate in the future for which we do not have satellite observations and offers new insights on potential impacts of future warming on limits to plant growth and biological adaptability.