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The dataset covers biotic and abiotic data from the aquatic habitat of a population of the sediment-rooted macrophyte Myriophyllum spicatum in the temperate climate region (The Netherlands). The growth of M. spicatum was monitored in 0.2025 m2 plant baskets installed in an experimental ditch. Parameters monitored included biomass (fresh and dry weight), shoot length, seasonal short-term growth rates of shoots, relevant environmental parameters and weather data. This dataset includes the 2-year experimental biotic (macrophyte biomass and growth data) and environmental data (water quality data, sediment data). A second file includes the statistical data. A third file includes the weather data.

In this study, we test the effects of abiotic factors (light variation, caused by logging disturbance, and soil fertility) and biotic factors (species richness and functional trait composition) on biomass stocks (aboveground biomass, fine root biomass), SOM and productivity in a relatively monodominant Guyanese tropical rainforest. This forest grows on nutrient-poor soils and has few species that contribute most to total abundance. We therefore expected strong effects of soil fertility and species’ traits that determine resource acquisition and conservation, but not of diversity. We evaluated 6 years of data for 30 0.4-ha plots and tested hypotheses using structural equation models. Our results indicate that light availability (through disturbance) and soil fertility – especially P – strongly limit forest biomass productivity and stocks in this Guyanese forest. Low P availability may cause strong environmental filtering, which in turn results in a small set of dominant species. As a result, community trait composition but not species richness determines productivity and stocks of biomass and SOM in tropical forest on poor soils.

Recent studies show widespread encroachment of forest into savannas with important consequences for the global carbon cycle and land-atmosphere interactions. However, little research has focused on in situ measurements of forest-savanna boundary change over time. Using long-term inventory plots we quantify changes in above-ground biomass (AGB), vegetation structure and biodiversity over 20 years for five vegetation types (savanna, colonising forest or F1, successional monodominant forest or F2, Marantaceae forest or F3 and mixed forest or F4) along a savanna-forest transition of central Gabon, all occurring on similar soils. Additionally, we use novel 3D terrestrial laser scanning (TLS) measurements to assess forest structure differences across the transition. Overall, F1 and F2 forests increased in AGB, mainly as a result of adding stems (recruitment in F1) or increased Basal Area (F2). Some plots of F3 and F4 increased in AGB while some decreased. Changes in biodiversity and species’ dominance were small. After 20 years no plot could be classified as having moved to the next stage in the succession. TLS vertical plant profiles showed very distinctive differences amongst the vegetation types. We highlight two relevant points: (i) as forest colonises, changes in biodiversity are much slower than changes in forest structure or AGB; and (ii) all forest types store important quantities of Carbon. Decades long-term monitoring is likely to be required to assess the speed of transition between vegetation types, ideally with TLS, as this provides more objective forest classifications than inventory monitoring.

This dataset contains the underlying data for the study:Van Oort, P. A. J., B. G. H. Timmermans, H. Meinke, and M. K. Van Ittersum. "Key weather extremes affecting potato production in The Netherlands." European Journal of Agronomy 37, no. 1 (2012): 11-22.http://dx.doi.org/10.1016/j.eja.2011.09.002The possible impact of climate change on frequency and severity of weather extremes is hotly debated among climate scientists. Weather extremes can have a significant impact on agricultural production, but their effect is often unclear; this due to interaction with other factors that affect yield and due to lack of precise definitions of relevant weather extremes. We show that an empirical analysis of historical yields can help to identifying such rare, high impact climate events.A reconstructed time series of ware potato production in Flevoland (The Netherlands) over the last 60 years (1951–2010) enabled us to identify the two main yield affecting weather extremes. In around 10% of the years yield anomalies were larger than −20%. We found that these anomalies could be explained from two weather extremes (and no other), namely a wet start of the growing season and wet end of the growing season. We derived quantitative, meteorological definitions of these extremes. Climate change scenarios for 2050 show either no change or increased frequency of the two extremes. We demonstrate there is large uncertainty about past and future frequencies of the extremes, caused by a lack of sufficiently long historical weather records and uncertainties in climate change projections on precipitation. The approach to identify weather extremes presented here is generally applicable and shows the importance of long term crop and weather observations for investigating key climatic risks to production.

Plant responses to biotic and abiotic legacies left in soil by preceding plants is known as plant–soil feedback (PSF). PSF is an important mechanism to explain plant community dynamics and plant performance in natural and agricultural systems. However, most PSF studies are short-term and small-scale due to practical constraints for field-scale quantification of PSF effects, yet field experiments are warranted to assess actual PSF effects under less controlled conditions. Here we used unmanned aerial vehicle (UAV)-based optical sensors to test whether PSF effects on plant traits can be quantified remotely. We established a randomized agro-ecological field experiment in which six different cover crop species and species combinations from three different plant families (Poaceae, Fabaceae, Brassicaceae) were grown. The feedback effects on plant traits were tested in oat (Avena sativa) by quantifying the cover crop legacy effects on key plant traits: height, fresh biomass, nitrogen content, and leaf chlorophyll content. Prior to destructive sampling, hyperspectral data were acquired and used for calibration and independent validation of regression models to retrieve plant traits from optical data. Subsequently, for each trait the model with highest precision and accuracy was selected. We used the hyperspectral analyses to predict the directly measured plant height (RMSE = 5.12 cm, R2 = 0.79), chlorophyll content (RMSE = 0.11 g m−2, R2 = 0.80), N-content (RMSE = 1.94 g m−2, R2 = 0.68), and fresh biomass (RMSE = 0.72 kg m−2, R2 = 0.56). Overall the PSF effects of the different cover crop treatments based on the remote sensing data matched the results based on in situ measurements. The average oat canopy was tallest and its leaf chlorophyll content highest in response to legacy of Vicia sativa monocultures (100 cm, 0.95 g m−2, respectively) and in mixture with Raphanus sativus (100 cm, 1.09 g m−2, respectively), while the lowest values (76 cm, 0.41 g m−2, respectively) were found in response to legacy of Lolium perenne monoculture, and intermediate responses to the legacy of the other treatments. We show that PSF effects in the field occur and alter several important plant traits that can be sensed remotely and quantified in a non-destructive way using UAV-based optical sensors; these can be repeated over the growing season to increase temporal resolution. Remote sensing thereby offers great potential for studying PSF effects at field scale and relevant spatial-temporal resolutions which will facilitate the elucidation of the underlying mechanisms. van der Meij et al_Biogeosciences2017_dataThe experimental set-up, treatments, data collection and data analyses are thoroughly described in the Biogeoscience manuscript ‘Remote sensing of plant trait responses to field-based plant-soil feedback using UAV-based optical sensors’ doi:10.5194/bg-2016-452. Therefore we refer to the manuscript for detailed information an here we provide a brief summary to enable readers to follow what the data entail. The data were collected from a 2-year field experiment with plant rotations in a full factorial design. The plant treatments we focused on are legacy effects of the plant treatments (listed below) to the following oat crop. In this oat crop we quantified several plant traits both in situ and via remote sensing by use of UAV and hyperspectral and EGB sensors. The experiment was set-up in five randomized field blocks. We used part of the in situ collected data to parameterize the hyperspectral data based models and we validated these models with the other half of the field plots. Plant treatments Fa= fallow Lp= Lolium perenne Rs= Raphanus sativus Tr= Trifolium repens Vs= Vicia sativa Lp+Tr= 50:50 species mixture (relative to the monoculture seed densities) of the species Lp and Tr Rs+Vs= 50:50 species mixture (relative to the monoculture seed densities) of the species Rs and Vs

AbstractAfter dredged sediments have settled in a temporary upland disposal site, ripening starts, which turns waterlogged sediment into aerated soil. Aerobic biological mineralization of organic matter (OM) and chemical oxidation of reduced sulfur compounds are the major biochemical ripening processes. Quantitative data describing these processes are scarce. Therefore, aerobic oxidation and mineralization of five previously anaerobic dredged sediments were studied during a 160‐d laboratory incubation experiment at 30°C. A double exponential decay model could adequately describe sulfur oxidation and OM mineralization kinetics. During the first 7 d of incubation, 23 to 80% of the total sulfur was oxidized, after which no further sulfur oxidation was observed. Oxygen used for sulfur oxidation amounted up to 95% of the total oxygen uptake in the first 7 d and up to 45% of the oxygen uptake during the entire incubation period. Mineralization rates of the rapidly mineralizable OM fractions that degraded during the first 14 to 28 d of incubation were 102 to 103 times higher than the mineralization rates of the slowly mineralizable OM during the remaining period. First‐order mineralization rates of the slowly mineralizable OM were 0.22 × 10−3 to 0.54 × 10−3 d−1 and can be compared with those of terrestrial soils. Yields of biomass on substrate ranged from 0.08 to 0.45 g Cbiomass/g COM and appeared to be higher for rapidly mineralizing OM than for slowly mineralizing OM. The results of this study can be used to optimize conditions during temporary disposal of sediments, to estimate the potential decrease in OM, and for future studies on the possible link between OM mineralization and degradation of hydrophobic organic contaminants.

Le changement d'utilisation des terres/de couverture est la principale cause de dégradation des écosystèmes terrestres. Cependant, ses impacts seront exacerbés en raison du changement climatique et de la croissance démographique, entraînant une expansion agricole en raison de la demande accrue de denrées alimentaires et de la baisse des rendements agricoles dans certaines zones tropicales. Les stratégies internationales visant à atténuer les impacts du changement climatique et du changement du couvert terrestre sont difficiles dans les régions en développement. Cette étude vise à évaluer des alternatives pour minimiser les impacts de ces menaces dans le cadre de trajectoires socio-économiques, dans l'une des régions les plus biologiquement riches du Guatemala et du Mexique. Cette étude est située dans le bassin versant d'Usumacinta, une région transfrontalière qui partage une histoire commune, avec des propriétés biophysiques et des contraintes économiques similaires qui ont conduit à d'importants changements dans l'utilisation/la couverture des terres. Pour comprendre les impacts sur la déforestation et les émissions de carbone des différentes pratiques de gestion des terres, nous avons développé trois scénarios (1) : le statu quo (BAU), (2) un scénario de réduction des émissions visant à réduire la déforestation et la dégradation (REDD+) et (3) zéro déforestation à partir de 2030 sur la base des engagements internationaux. Nos résultats suggèrent que d'ici 2050, la couverture terrestre naturelle pourrait réduire de 22,3 et 12,2% son étendue dans les scénarios BAU et REDD +, respectivement par rapport à 2012. Cependant, le scénario zéro déforestation montre que d'ici 2050, il serait possible d'éviter de perdre 22,4 % du bassin versant boisé (1,7 million d'hectares) et d'en récupérer 5,9 % (0,4 million d'hectares). En termes de séquestration du carbone, les projets REDD + peuvent réduire les pertes de carbone dans la végétation naturelle, mais une politique de zéro déforestation peut doubler la séquestration du carbone produite par les projets REDD + uniquement. Cette étude montre que pour réduire les pressions sur les écosystèmes, en particulier dans les régions fortement marginalisées avec des migrations importantes, il est nécessaire de mettre en œuvre des politiques transfrontalières de gestion des terres qui intègrent également des stratégies de réduction de la pauvreté. El cambio en el uso/cobertura de la tierra es la principal causa de la degradación de los ecosistemas terrestres. Sin embargo, sus impactos se exacerbarán debido al cambio climático y al crecimiento de la población, impulsando la expansión agrícola debido a una mayor demanda de alimentos y menores rendimientos agrícolas en algunas áreas tropicales. Las estrategias internacionales destinadas a mitigar los impactos del cambio climático y el cambio en la cobertura del uso de la tierra son un desafío en las regiones en desarrollo. Este estudio tiene como objetivo evaluar alternativas para minimizar los impactos de estas amenazas bajo trayectorias socioeconómicas, en una de las regiones biológicamente más ricas de Guatemala y México. Este estudio se encuentra en la cuenca de Usumacinta, una región transfronteriza que comparte una historia común, con propiedades biofísicas y limitaciones económicas similares que han llevado a grandes cambios en el uso/cobertura de la tierra. Para comprender los impactos en la deforestación y las emisiones de carbono de las diferentes prácticas de gestión de la tierra, desarrollamos tres escenarios (1): negocios como siempre (BAU), (2) un escenario de reducción de emisiones destinado a reducir la deforestación y la degradación (REDD+) y (3) cero deforestación a partir de 2030 en función de los compromisos internacionales. Nuestros resultados sugieren que para 2050, la cobertura natural de la tierra podría reducir el 22.3 y el 12.2% de su extensión bajo los escenarios BAU y REDD +, respectivamente, en comparación con 2012. Sin embargo, el escenario de deforestación cero muestra que para 2050, sería posible evitar la pérdida del 22,4% de la cuenca forestal (1,7 millones de ha) y recuperar el 5,9% (0,4 millones de hectáreas) de la misma. En términos de secuestro de carbono, los proyectos REDD + pueden reducir las pérdidas de carbono en la vegetación natural, pero una política de deforestación cero puede duplicar el secuestro de carbono producido solo por los proyectos REDD +. Este estudio muestra que para reducir las presiones sobre los ecosistemas, particularmente en regiones altamente marginadas con una migración significativa, es necesario implementar políticas transfronterizas de gestión de la tierra que también integren estrategias de alivio de la pobreza. Land-use/cover change is the major cause of terrestrial ecosystem degradation. However, its impacts will be exacerbated due to climate change and population growth, driving agricultural expansion because of higher demand of food and lower agricultural yields in some tropical areas. International strategies aimed to mitigate impacts of climate change and land use-cover change are challenging in developing regions. This study aims to evaluate alternatives to minimize the impacts of these threats under socioeconomic trajectories, in one of the biologically richest regions in Guatemala and Mexico. This study is located at the Usumacinta watershed, a transboundary region that shares a common history, with similar biophysical properties and economic constraints which have led to large land use/cover changes. To understand the impacts on deforestation and carbon emissions of different land-management practices, we developed three scenarios (1): business as usual (BAU), (2) a reducing emissions scenario aimed to reduce deforestation and degradation (REDD+), and (3) zero-deforestation from 2030 onwards based on the international commitments. Our results suggest that by 2050, natural land cover might reduce 22.3 and 12.2% of its extent under the BAU and REDD + scenarios, respectively in comparison with 2012. However, the zero-deforestation scenario shows that by 2050, it would be possible to avoid losing 22.4% of the forested watershed (1.7 million ha) and recover 5.9% (0.4 million hectares) of it. In terms of carbon sequestration, REDD + projects can reduce the carbon losses in natural vegetation, but a zero-deforestation policy can double the carbon sequestration produced by REDD + projects only. This study shows that to reduce the pressures on ecosystems, particularly in regions highly marginalized with significant migration, it is necessary to implement transboundary land-management policies that also integrate poverty alleviation strategies. استخدام الأراضي/تغيير الغطاء هو السبب الرئيسي لتدهور النظام الإيكولوجي الأرضي. ومع ذلك، ستتفاقم آثاره بسبب تغير المناخ والنمو السكاني، مما يؤدي إلى التوسع الزراعي بسبب ارتفاع الطلب على الغذاء وانخفاض الغلة الزراعية في بعض المناطق الاستوائية. تشكل الاستراتيجيات الدولية الرامية إلى التخفيف من آثار تغير المناخ وتغير استخدام الأراضي تحدياً في المناطق النامية. تهدف هذه الدراسة إلى تقييم البدائل لتقليل آثار هذه التهديدات في إطار المسارات الاجتماعية والاقتصادية، في واحدة من أغنى المناطق بيولوجيًا في غواتيمالا والمكسيك. تقع هذه الدراسة في مستجمع مياه أوسوماسينتا، وهي منطقة عابرة للحدود تشترك في تاريخ مشترك، مع خصائص فيزيائية حيوية مماثلة وقيود اقتصادية أدت إلى تغييرات كبيرة في استخدام الأراضي/تغطيتها. لفهم تأثيرات ممارسات إدارة الأراضي المختلفة على إزالة الغابات وانبعاثات الكربون، وضعنا ثلاثة سيناريوهات (1): العمل كالمعتاد (BAU)، (2) سيناريو خفض الانبعاثات الذي يهدف إلى الحد من إزالة الغابات وتدهورها (REDD+)، و (3) إزالة الغابات الصفرية اعتبارًا من عام 2030 فصاعدًا بناءً على الالتزامات الدولية. تشير نتائجنا إلى أنه بحلول عام 2050، قد يقلل الغطاء الأرضي الطبيعي بنسبة 22.3 و 12.2 ٪ من مداه في إطار سيناريو العمل الاعتيادي وسيناريو خفض الانبعاثات الناجمة عن إزالة الغابات وتدهورها في البلدان النامية، على التوالي مقارنة بعام 2012. ومع ذلك، يُظهر سيناريو إزالة الغابات الصفرية أنه بحلول عام 2050، سيكون من الممكن تجنب فقدان 22.4 ٪ من مستجمعات المياه الحرجية (1.7 مليون هكتار) واستعادة 5.9 ٪ (0.4 مليون هكتار) منها. من حيث عزل الكربون، يمكن لمشاريع خفض الانبعاثات الناجمة عن إزالة الغابات وتدهورها في البلدان النامية أن تقلل من خسائر الكربون في الغطاء النباتي الطبيعي، ولكن سياسة إزالة الغابات الصفرية يمكن أن تضاعف عزل الكربون الناتج عن مشاريع خفض الانبعاثات الناجمة عن إزالة الغابات وتدهورها في البلدان النامية فقط. تُظهر هذه الدراسة أنه للحد من الضغوط على النظم الإيكولوجية، لا سيما في المناطق المهمشة للغاية مع الهجرة الكبيرة، من الضروري تنفيذ سياسات إدارة الأراضي العابرة للحدود التي تدمج أيضًا استراتيجيات التخفيف من حدة الفقر.