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Current soil‐ and land degradation seriously challenge our societies; it contributes to climate change, loss of biodiversity and loss of agricultural productions. Yet, soils are also seen as a major part of the solution, if maintained or restored to provide ecosystem services. Climate‐smart sustainable management of soils can provide options for soil health maintenance and restoration. In the European Union, the resource management and sustainability challenge are addressed in the Green Deal that, among other goals, aspires towards a healthy climate‐resilient agricultural sector that will produce sufficient products without damaging ecosystems and contribute to better biodiversity and mitigate climate change. The European Joint Programme (EJP) SOIL was set up to contribute to these goals by developing knowledge, tools and an integrated research community to foster climate‐smart sustainable agricultural soil management that provides a diversity of ecosystem service, such as adapting to and mitigating climate change, allowing sustainable food production, and sustaining soil biodiversity. This paper provides an overview of the potential of climate‐smart sustainable soil management research to the targets of the Green Deal that are related to soils most directly. The EJP SOIL EU‐wide consultation (interviews and questionnaires) and literature analysis (national and international reports and papers) done in the first year (2020–2021) generated a wealth of data. This data showed that there are specific manners to do research that are essential for it to be effective and efficient and that can actively contribute to the Green Deal targets. We concluded that research needs to be: (i) interdisciplinary, (ii) long‐term, (iii) multi‐scaled, from plot to landscape, (iv) evaluating trade‐offs of selected management options for ecosystem services and (v) co‐constructed with key stakeholders. Research on climate‐smart sustainable soil management should be developed (1) on plot scale when mobilizing soil processes and on landscape scale when addressing sediment and water connectivity and biodiversity management; and (2) address the enabling conditions through good governance, social acceptance and viable economic conditions. [ABSTRACT FROM AUTHOR]

Background: Agriculture is important for economic growth and development in many countries in Sub-Saharan Africa, including Tanzania. However, agricultural production and productivity remain relatively low, with significant yield gaps attributed to factors such as limited access to and low adoption of appropriate agricultural technologies, and climate-related risks resulting from climate variability and change. This paper explores the drivers of adoption of climate-smart agricultural (CSA) technologies and practices, taking into account the complementarity among agricultural technologies and heterogeneity of the farm households, using data from Lushoto in Tanzania. Methods: We use a Multivariate Probit analysis of cross-sectional data collected from 264 smallholder farmers in Lushoto—a climate hotspot in Tanzania—to understand the drivers of household decisions to adopt CSA technologies and practices. The technologies included diversification of multiple stress (drought, floods, pests, diseases)-tolerant crop varieties, use of fertilizers, and application of herbicides and pesticides. The Multivariate Probit model was preferred as it takes into account the inter-relationships of the technologies as well as heterogeneity of the smallholder farmers for more robust estimates. The independent variables used in the analysis included household socio-economic factors such as the relative importance of crop and livestock enterprises, household land size, social capital, access to agricultural credit and weather information, previous experience with fertilizer use and household characteristics (age, education and gender of household head, and household size). Results: About 63% of the households diversified their crop enterprises, shifting to improved resilient crops and crop varieties. Another 37% adopted fertilizers, while 38% applied pesticides and herbicides. Conditional on the unobservable heterogeneity effects, the results show that household adoption decisions on diversification of multiple stress-tolerant crops and crop varieties, fertilizer, and pesticides and herbicides are complementary. In addition, the results confirm existence of unobserved heterogeneity effects leading to varying impact of the explanatory variables on adoption decisions among farmers with similar observable characteristics. Conclusions: The findings indicate that any effective CSA technology adoption and diffusion strategies and policies should take into account the complementarity of the technologies and heterogeneity of the smallholder farmers. Therefore, inter-related technologies should be promoted as a package or bundled while taking into consideration household and farm-level constraints to adoption. [ABSTRACT FROM AUTHOR]

This paper investigates the consequences of ignoring the clustered data structure on allometric models. Clustered data, in the form of multiple trees sampled from multiple forest stands is commonly used to develop biomass allometric models. Of 102 reviewed papers published between 2012 and 2016 that reported biomass allometric models, 84 (82%) have used a clustered sampling design. However, in as many as 80% of these, the clustered data structure was ignored, potentially violating the independence assumption in ordinary least squares methods. The consequences of ignoring clustered data structure were empirically validated using two clustered biomass datasets (of 110 and 220 trees, with the cluster size of 5 and 10 trees respectively). We showed that when Intraclass Correlation Coefficient (ICC) was higher than zero, ignoring the clustered data structure returned underestimated standard errors, affecting further the confidence interval and t-test results. The underestimation level depended on ICC (which shows the variance proportion that was caused by the forest stand) and on cluster size (the number of trees sampled from one forest stand). We also showed that using first-order autocorrelation tests, such as the traditional Durbin-Watson statistic, to detect the autocorrelation due to clustered structure could be misleading as the test may show lack of autocorrelation even though ICC is different from zero. In conclusion, when ICC is higher than zero, ignoring the clustered data structure yields over-confident biomass predictions (due to underestimated confidence interval) and/or incorrect research conclusions (due to overestimated evidence against null hypothesis in t-test). Therefore, using a modelling approach that accounts for the hierarchical structure of the data is highly recommended when any form of clustering can be identified, even if the autocorrelation is not significant. [ABSTRACT FROM AUTHOR]

A simple—yet powerful—indicator for monitoring agricultural drought is the water requirement satisfaction index (WRSI). In data-sparse, food-insecure areas, the WRSI is used to guide billions of dollars of aid every year. The WRSI uses precipitation (PPT) and reference evapotranspiration (RefET) data to estimate water availability relative to water demand experienced over the course of a growing season. If the season is in progress, to-date conditions can be combined with climatological averages to provide insight into potential end-of-season (EOS) crop performance. However, if the average is misrepresented, these forecasts can hinder early warning and delay precious humanitarian aid. While many agencies use arithmetic average climatologies as proxies for "average conditions," little published research evaluates their effectiveness in crop-water balance models. Here, we use WRSI hindcasts of three African regions' growing seasons, from 1981 to 2019, to assess the adequacy of the arithmetic mean climatological forecast—the Extended WRSI. We find that the Extended WRSI is positively biased, overestimating the actual EOS WRSI by 2%–23% in East, West, and southern Africa. The presented alternative combines to-date conditions with data from previous seasons to produce a series of historically realistic conclusions to the current season. The mean of these scenarios is the WRSI Outlook. In comparison with the Extended WRSI, which creates a single forecast scenario using average inputs that are not covarying, the WRSI Outlook employs an ensemble of scenarios, which more adequately capture the historical distribution of distribution of rainfall events along with the covariability between climate variables. More specifically, the impact of dry spells in individual years is included in the WRSI Outlook in a way that is smoothed over in the Extended WRSI. We find that the WRSI Outlook has a near-zero bias score and generally has a lower RMSE. In total, this paper highlights the inadequacies of the arithmetic mean climatological forecast and presents a less biased and more accurate scenario-based approach. To this end, the WRSI Outlook can improve our ability to identify agricultural drought and the concomitant need for humanitarian aid. [ABSTRACT FROM AUTHOR]

Climate Smart Agriculture (CSA) has gained prominence in global agriculture and climate agendas for its perceived "triple win" contributions to food productivity, adaptation, and mitigation to climate change. This paper highlights three important challenges for CSA activities in Africa which provide insights into contested debates surrounding CSA's ability to respond holistically to the complex realities facing resource-constrained farmers in the global South. These are (1) prevailing neoliberal market policies that emphasize private-sector driven agricultural development in the face of rising input costs and falling commodity prices; (2) an expansion in diversified livelihood strategies amongst smallholder households as a response to the highly unpredictable biophysical environment and economic climate under which they live; and (3) a growing competition for land and other productive resources. A deeper dive into political economy processes surrounding these three issues aims to bring critical attention to factors relevant to African agricultural development that highly impact farm-level practices and carry important implications for rural livelihood outcomes. [ABSTRACT FROM AUTHOR]

Local and indigenous knowledge is being transformed globally, particularly being eroded when pertaining to ecology. In many parts of the world, rural and indigenous communities are facing tremendous cultural, economic and environmental changes, which contribute to weaken their local knowledge base. In the face of profound and ongoing environmental changes, both cultural and biological diversity are likely to be severely impacted as well as local resilience capacities from this loss. In this global literature review, we analyse the drivers of various types of local and indigenous ecological knowledge transformation and assess the directionality of the reported change. Results of this analysis show a global impoverishment of local and indigenous knowledge with 77% of papers reporting the loss of knowledge driven by globalization, modernization, and market integration. The recording of this loss, however, is not symmetrical, with losses being recorded more strongly in medicinal and ethnobotanical knowledge. Persistence of knowledge (15% of the studies) occurred in studies where traditional practices were being maintained consiously and where hybrid knowledge was being produced as a resut of certain types of incentives created by economic development. This review provides some insights into local and indigenous ecological knowledge change, its causes and implications, and recommends venues for the development of replicable and comparative research. The larger implication of these results is that because of the interconnection between cultural and biological diversity, the loss of local and indigenous knowledge is likely to critically threaten effective conservation of biodiversity, particularly in community-based conservation local efforts. [ABSTRACT FROM AUTHOR]

We reviewed studies addressing the extent to which more integrated agricultural systems ( IAS) have been found to be more resilient to climate variability and climate change than more specialized agricultural systems. We found limited literature directly addressing the topic, necessitating the use of proxy measures to enlarge the sample. Where necessary, we used agricultural system richness and diversity as proxies for the presence of the sort of synergistic relationships that typify IAS, interannual climate variability for climate change, and myriad agricultural indicators for resilience. We found that (1) 37 papers addressed the topic either through mathematical modeling or statistical modeling; (2) in the statistical papers, integration was overwhelmingly ( n = 17/24) associated with increased climate resilience; (3) these findings stemmed mainly from comparisons of more versus less diverse or rich farming systems, while few studies investigated the influence of farm system synergies on resilience; (4) yield, revenue, profit, and yield variance were all used to demonstrate resilience; (5) modeling studies tended to investigate resilience across multiple years, while most statistical approaches tracked single-year outcomes; (6) the IAS-climate resilience links demonstrated were not generalizable across units of analysis, spatiotemporal scale, and from autonomous to directed integration; and (7) few of the articles reviewed identified and measured the mechanism by which IAS were shown to have conferred resilience. Our findings reveal suggestive, although by no means conclusive, evidence that farm system integration can enhance resilience and highlight the need for research to test whether integration policies can have similar outcomes. WIREs Clim Change 2017, 8:e461. doi: 10.1002/wcc.461 For further resources related to this article, please visit the . [ABSTRACT FROM AUTHOR]

In India, agriculture is practiced since Indus valley civilisation. The unique physiography and climatic system support agriculture at a very large scale. Several reports and research papers have documented that about 65% to 70% of the country population is still dependent on the agriculture for meeting their basic livelihood needs. Nowadays, agricultural system is facing a lot of social and natural issues that leads to its vulnerability. Uttar Pradesh is a major contributor to the food production of this country as the region falls in the Indo-Gangetic plains. Major social, economic and institutional constraints faced by the agricultural system in the Ghazipur district of Uttar are investigated in the paper. The district is situated along the two major rivers Ganga and Gomti. The present study may lead to identifying the major challenges faced by the farmers at the ground level. [ABSTRACT FROM AUTHOR]

Many countries have some kind of energy-system transformation either planned or ongoing for various reasons, such as to curb carbon emissions or to compensate for the phasing out of nuclear energy. One important component of these transformations is the overall reduction in energy demand. It is generally acknowledged that the domestic sector represents a large share of total energy consumption in many countries. Increased energy efficiency is one factor that reduces energy demand, but behavioral approaches (known as “sufficiency”) and their respective interventions also play important roles. In this paper, we address citizens’ heterogeneity regarding both their current behaviors and their willingness to realize their sufficiency potentials—that is, to reduce their energy consumption through behavioral change. We collaborated with three Swiss cities for this study. A survey conducted in the three cities yielded thematic sets of energy-consumption behavior that various groups of participants rated differently. Using this data, we identified four groups of participants with different patterns of both current behaviors and sufficiency potentials. The paper discusses intervention types and addresses citizens’ heterogeneity and behaviors from a city-based perspective. [ABSTRACT FROM AUTHOR]

This paper examines the welfare effect of inter- and intra-seasonal weather shocks using a nationally representative dataset. Results show that both rainfall and maximum temperature variability appear to exert a negative impact on the considered outcomes. Higher between-years average of rainfall implies an increase in income. This impact is nonlinear when the shock is computed over shorter reference periods and is higher in the upper tail of the income distribution. Moreover, small levels of rainfall variability have a positive effect on income, but only up to a certain threshold, after which the effect becomes negative. There is a nonlinear relationship between welfare outcomes and the first two moments of the maximum temperature distribution. Agricultural extension services, access to rural credit and use of sustainable land management practices (SLM) are crucial to mitigating the negative welfare effects. [ABSTRACT FROM AUTHOR]

Monitoring soil moisture dynamics from local to global scales is essential for a wide range of applications. The field of remote sensing of soil moisture has expanded greatly and the first dedicated soil moisture satellite missions (SMOS, SMAP) were launched, and new missions, such as SENTINEL-1 provide long-term perspectives for land surface monitoring. This special issue aims to summarize the recent advances in soil moisture estimation from remote sensing, including recent advances in retrieval algorithms, validation, and applications of satellite-based soil moisture products. Contributions in this special issue exploit the estimation of soil moisture from both microwave remote sensing data and thermal infrared information. The validation of satellite soil moisture products can be very challenging, due to the different spatial scales of in situ measurements and satellite data. Some papers present validation studies to quantify soil moisture uncertainties. On the other hand, soil moisture downscaling schemes and new methods for soil moisture retrieval from GPS are also addressed by some contributions. Soil moisture data are used in fields like agriculture, hydrology, and climate sciences. Several studies explore the use of soil moisture data for hydrological application such as runoff prediction. [ABSTRACT FROM AUTHOR]

This paper estimates the effect of individual responsibility on economic development using an instrument derived from rainfall data. I argue that a taste for collective responsibility was adaptive in preindustrial societies that were exposed to high levels of agricultural risk, and that these attitudes continue to influence contemporary social norms and economic outcomes. The link between agricultural risk and collective responsibility is formalized in a model of optimal parental socialization effort. Empirically, I find a robust negative correlation between rainfall variation, a measure of exogenous agricultural risk, and a measure of individual responsibility. Using rainfall variation as an instrument, I find that individual responsibility has a large positive effect on economic development. The relationships between rainfall variation, individual responsibility and economic development are robust to the inclusion of variables related to climate and agricultural and institutional development. [ABSTRACT FROM AUTHOR]

Climate change is a fundamental challenge for which agriculture is sensitive and vulnerable. The Intergovernmental Panel on Climate Change has identified relevant information as key to enabling appropriate climate adaptation and mitigation action. Information specifically directed to farmers can be found, for example, in specialized farming magazines. While recent studies examine how national news media frame climate change, less-if any-studies have addressed climate framings and coverage in specialized media. Media framings are storylines that provide meaning by communicating how and why an issue should be seen as a problem, how it should be handled, and who is responsible for it. This paper analyses the framings and coverage of climate change in two Swedish specialized farming magazines from 2000 to 2009. It examines the extent of the climate change coverage, the content of the media items, and the dominant framings underlying their climate change coverage. The study identifies: increased coverage of climate change starting in 2007; frequent coverage of agriculture's contribution to climate change, climate change impacts on agriculture, and consequences of climate politics for agriculture; and four prominent frames: conflict, scientific certainty, economic burden, and action. The paper concludes that climate change communicators addressing farmers and agricultural extension officers should pay attention to how these frames may be interpreted by different target audiences. Research is needed on how specialized media reports on climate-related issues and how science-based climate information is understood by different groups of farmers and which other factors influence farmers' engagement in climate mitigation and adaptation. [ABSTRACT FROM AUTHOR]

Addressing the causes and consequences of environmental degradation presents significant challenges for humankind. This paper considers what ergonomics/human factors (E/HF) professionals can contribute to understanding and tackling some of the issues that arise through the movement towards a more environmentally sustainable economy. These issues are considered in relation to work in green industries (specifically, sustainable energy production, recycling and organic food production), and there is a need to ensure that these jobs are safe and healthy; the design of products and systems that are ‘environmentally friendly’ to facilitate their acceptability and use and how E/HF professionals can contribute to understanding and promoting behavioural change relating to environmental choices. The activities of some international organisations in this area are identified and the potential for E/HF involvement is considered. The implications for the E/HF profession are discussed. Practitioner summary:This paper considers how ergonomics/human factors professionals can contribute to the movement towards more sustainable and ‘environmentally friendly’ design and work. Potential challenges and opportunities are discussed in relation to jobs in green industries, products and systems and behaviour change. [ABSTRACT FROM PUBLISHER]

An exponential rise has been observed in the data volume over the time when considering a real time environment. A phenomenal feature termed as 'Predictability' helps in predicting and portraying related data to the user according to their needs. Moreover, classification of Big Data is usually a tedious and lengthy task. The technique of MapReduce Framework performs the data processing that being paralleled by data distribution in small chunks through the clusters. This Map Reduce technique is being proposed which is employed to process heterogeneous data items. Few issues that are being targeted in the existing paper include associating climatologically and meteorological information with large variety of farming decisions. Using the well-known MapReduce framework the above issues and challenges can be resolved. The existing paper proposes empirical techniques of climate classification and prediction by adopting Co-EANFS (Co-Effective and Adaptive Neuro-Fuzzy System) approach for data handling. Furthermore, the paper examines association rule mining too, which is being implemented for examining the best crop production by relying upon the soil and weather condition. Lastly, a technique is proposed for managing various levels such as preprocessing, clustering, classification and prediction. First, the weather dataset is being collected which undergoes processing; thereafter the proposed model is implemented which results in formation of cluster data sets linked to each season. For evaluating the performance, accuracy predictions generated by Co-EANFS is used which being formulated with varying no: of inputs and variables. The proposed framework acquires least execution time. [ABSTRACT FROM AUTHOR]

daptation to climate change in Europe has only recently become a true policy concern with the management of extreme events one priority item. Irrespective of future climatic changes increasing the need for systematic evaluation and management of extremes, weather-related disasters already today pose substantial burdens for households, businesses and governments. Research in the ADAM project identified substantial direct risks in terms of potential crop and asset losses due to combined drought and heatwave, as well as flood hazards in Southern and Eastern Europe, respectively. This paper focuses on the indirect, medium to longer term economic risks triggered by the direct risks and mediated by policy responses. We present a selection of three economic impact and adaptation assessments and modelling studies undertaken on extreme event adaptation in Europe. Responding to a need for more economically based adaptation assessments, we address some relatively unresearched issues such as the understanding of past adaptation, the role of market response to impacts as well as government's ability to plan for and share out extreme event risks. The first analysis undertakes an empirical exploration of observed impacts and adaptation in the agricultural sector in the UK comparing the impact of consecutive extreme events over time in order to determine whether adaptation has occurred in the past and whether this can be used to inform future estimates of adaptation rates. We find that farmers and the agricultural sector clearly have adapted to extreme events over time, but whether this rate can be maintained into the future is unclear, as some autonomous adaptation enacted seemed rather easy to be taken. Markets may mediate or amplify impacts and in the second analysis, we use an economic general equilibrium model to assess the economic effects of a reduction in agricultural production due to drought and heatwave risk in exposed regions in Spain. The analysis suggests that modelled losses to the local economy are more serious in a large-scale scenario when neighbouring provinces are also affected by drought and heatwave events. This is due to the supply-side induced price increase leading to some passing on of disaster costs to consumers. The simulation highlights the importance of paying particular attention to the spatial and distributional effects weather extremes and possibly changes therein induced by climate change may incur. Finally, we discuss how national governments may better plan their disaster liabilities resulting from a need to manage relief and reconstruction activities post event. We do so using a risk based economic planning model assessing the fiscal consequences associated with the coping with natural extremes. We identify large weather-related disaster contingent liabilities, particularly in the key flood hot spot countries Austria, Romania, and Hungary. Such substantial disaster liabilities ('hidden disaster deficits') when interacting with weak fiscal conditions may lead to substantial additional stress on government budgets and reduced fiscal space for funding other relevant public investment projects. Overall, our paper suggests the importance of respecting the specific spatial and temporal characteristics of extreme event risk when generating information on adaptation decisions. As our adaptation decisions considered, such as using sovereign risk financing instruments are associated with a rather short time horizon, the analysis largely focuses on the management of today's extreme events and does not discuss in detail projections of risks into a future with climate change. Such projections raise important issues of uncertainty, which in some instances may actually render future projections non-robust, a constraint to be kept in mind when addressing longer term decisions, which at the same time should account for both climate and also socioeconomic change. [ABSTRACT FROM AUTHOR]

Agriculture is a major source of global greenhouse gas emissions and therefore effective policy interventions are required in order to mitigate these emissions. One form of intervention used within the agricultural sector is participatory extension programmes (PEPs). PEPs are advisory programmes based on voluntary participation where farmers, researchers, and rural experts collectively learn by sharing information and experiences. To evaluate the contribution of these programmes towards more climate friendly farming, this paper conducts an ex-post evaluation of a PEP focused on the voluntary uptake of on-farm emissions mitigation practices in the UK. We use a mixed-methods approach to understand both the adoption of new practices and a range of human-social outcomes such as social learning, resilience and improved decision-making. We find that participants in the PEP show a higher level of practice adoption compared to non-participants. However, the evaluation of the human-social indicators shows that the change cannot always be attributed to PEP participation. The paper contributes to the current literature by conducting the first evaluation on a climate change PEP in a developed country and by developing and applying an effective evaluation framework for climate change PEPs, in order to achieve an understanding of the change achieved by PEPs. • Understanding change due to PEP participation requires a mixed methods approach. • Holistic evaluation shows increased practice adoption cannot always be attributed to the PEP. • A wider set of measures is required to achieve a sustained change towards climate friendly farming. [ABSTRACT FROM AUTHOR]

Ganjam district is one of the coastal districts in Odisha has experienced a number of climate risks like cyclone, flood, drought, etc. in last couple of years. On October 12, 2013, the district was hit by Cyclone 'Phailin'. Subsequently there was a cyclone called 'Hudhud' affected Odisha coastal districts in the year 2014. Last year during 2018, over 60 lakh people were affected by flood due to heavy rainfall triggered by Cyclone 'Titli'. Of the 22 blocks in Ganjam district, 13 were badly hit due to cyclone and floods. Added to cyclones, the state has experienced contrasting extreme weather conditions which include heat waves, droughts and floods. Like other parts of Odisha, Ganjam district is also very much agricultural dependent. Due to erratic climate behaviour, farmers' income is not found to be stable. Analysis of secondary time series data reveals that agricultural production cycle and actual rainfall cycle seems to be very much pro-cyclical in nature indicating that a farmer is continuously subject to production risks in a cyclical manner. Owing to such risks, farmers have adopted number of strategies like alternative employment, migration, cost cutting in agriculture, income diversif ication and change in cropping pattern to augment their income and livelihood. The study f inds that due to cost cutting measures farmers have adopted mechanisation. There is reportedly disinvestment in bovine animal particularly bullocks, buffaloes and so also the cattle shed and harvesting yard. As a result of that farmers are not managing the crop residues properly and there is large scale paddy straw burning by almost 70 percent of the overall paddy farmers which from the environmentalists' point of is against the environmental conservation parameters. The paper suggests that there should be more sensitisation programmes for value chain development of paddy straw and against paddy-straw burning as it is against environmental conservation approaches. [ABSTRACT FROM AUTHOR]

This paper brings advances in weather data collection and modeling, and developments in socioeconomic climate microsimulations to bear on the analysis of the implications of climate change (CC) in the design of public policies to combat food insecurity. It uses new downscaled predictions of future climate in 2050, derived from three Earth System Models calibrated with a new historical weather station dataset for Peru. This climate data is used in a three-stage socioeconomic microsimulation model that includes climate risk, and deals with the endogeneity of incomes and simultaneity of expected food consumption and its variability. We estimate the impact of CC on agricultural yields, and find results consistent and fully bounded within what the global simulations literature has found, with yields falling up to 13% in some regions. However, we show that these drops (and increases) in yields translate to much smaller changes in food consumption, and also surprisingly, to very minor impacts on vulnerability to food insecurity. The document explores what explains this surprising result, showing that in addition to characteristics that are specific to Peru, there are household and market mediating mechanisms that are available in all countries, which explain how changes in yields, and corresponding farm incomes have a reduced impact in vulnerability to food insecurity. Finally, in light of these findings, we explore which policies might have greater impact in reducing food insecurity in contexts of hunger prevalence. [ABSTRACT FROM AUTHOR]

The current study will present the effect of the main weather conditions on the growth and fruit bearing in apricot tree. Within this framework, an analysis is made into the geographical distribution of the main characteristics of the temperatures, precipitation as well as insolation during the spring season with the respect to the flower-cladding and the effect of low April temperatures upon fruit bearing. Considering the fact that the study of the peculiarities of each variety of apricot is a complex process and due to the bioclimatic conditions, that must be met in order to have both a qualitative as well as a quantitative culture, the meteorological characteristics play an important role in the growth and fruiting of the apricot. The purpose of this article is to analyse the agrometeorological characteristics of the fruit bearing seasons for the western part of Romania. By analysing both the synoptic and the agrometeorological indices, a framework can be established in order to present a pertinent study in the field of agrometeorology with high regard on apricot growth and fruit bearing. The analysis of severe weather events associated with early to late spring solar radiation is also presented in this paper because of the negative effects of hail and it is included in the final framework of this study. [ABSTRACT FROM AUTHOR]

The present study aims to present the atmospheric precipitation regime for the western part of Romania, mainly the area located in the Mureş and Banat plains. Relying on the amounts of water gauged at the weather stations and substations located in the fork plain lying between the White Criş and the Danube valleys and which were intermittently operational during the period from 1950 to 2020, a study regarding the areal distribution and time variation of the main parameters of rainfall has been made. A display is made of the main characteristic features of the annual mass curve, the rainfall periodicity and randomness, the maximum rainfall in 24, 48 and 72 hours and the snow cover. The data reduction and validation were done by keeping a close eye on the specific weather phenomena and by analysing the synoptic situation for the most important weather events. The characteristic parameters of the pluviometric regime in the Mures and Banat Plains, which were analysed in this paper, can constitute basic materials for the design of hydro-ameliorative systems, for the construction of irrigation systems or to combat excess moisture, all of which are an important component of the development agriculture in the western part of Romania. [ABSTRACT FROM AUTHOR]

Romania has favourable conditions to develop the agriculture thanks to its significant agricultural land, climate conditions and labour force employed in this sector. In the last decades, the economic transition has determined major structural transformations within the agriculture sector, which generated certain disparities between the performance of Romania's agriculture and that of the EU's developed countries. This paper deals with the relationship between the size of agricultural holdings and the performance of the agricultural production factors in Romania. In order to achieve the paper's goal, we used the Data Envelopment Analysis and the comparative analysis, taking into account the features of the other EU countries. The research findings revealed that the efficiency of production factors used in agriculture is low and, therefore, a new organisation of holdings is required. This can lead to an optimal sizing of the holdings, so that the differences in performance compared to the EU's developed countries to be minimised or even eliminated. [ABSTRACT FROM AUTHOR]

Exposure to weather extremes, such as heatwaves, can cause discomfort, harm, or death in grazing cattle in pastures. While the Australian Bureau of Meteorology issues sheep graziers alerts when there is an exposure risk to chill for livestock, there is no equivalent alert for heat stress for Australian cattle. Before any such alert system can be developed, a robust assessment and comparison of relevant cattle thermal stress indices is required. This study evaluates and compares the multiyear climatology of three cattle thermal heat stress indices across Australia in the warm season months (October–March). The same indices are then used to assess historical Australian heat events where cattle died from heat exposure. These events are based off official records and survey responses from northern Australian graziers. In the seven historical heat events studied, high relative humidity combined with low wind speeds, or high solar exposure combined with high surface temperatures, exacerbated the impact of heat stress on cattle. In the two historic events where multiple compounding weather factors combined (e.g., high humidity, low winds, and high solar exposure), the cattle mortality levels were significantly high. These events were characterized by rainy conditions followed by a rapid warming, meaning cattle were likely unable to acclimatize to such dramatic temperature changes. This study highlights the need for using more than one thermal stress index when verifying cattle heat stress events and, importantly, calls for further research on standardizing the risk classifications of these thermal indices for cattle in Australia's variable climate. Significance Statement: Cattle across Australia's northern tropical and semiarid regions often experience extreme hot and humid conditions in the summer months, which increases the risk of heat stress. This is the first study of its kind to evaluate observations of cattle heat stress across Australia using indices that describe the combined effects of solar exposure, wind speed, relative humidity, and surface temperatures. These cattle heat stress indices can be used to evaluate historical cattle mortality events in feedlots and in grazed pastures. This study lays the groundwork for the development of Australian-wide cattle heat stress forecast products on the 7-day to multiweek time scales. [ABSTRACT FROM AUTHOR]

Agriculture is mainly impacted by water availability. Differences in climate conditions and the appearance of severe events, like droughts, has a significant imprint on local, regional and global agricultural productivity. The goal of this paper is to present remotely sensed approaches for water availability and requirements in vulnerable agriculture. Earth Observation (EO) data contribute to precision agriculture for efficient crop monitoring and irrigation management. A drought susceptible region considered as vulnerable farming was chosen, in the Thessaly prefecture in Central Greece. Water availability is measured by means of precipitation frequency examination and drought estimation. Crop water requirements are measured by assessing crop evapotranspiration (ET) with the synergistic use of WV-2 satellite images and ground-truth data. The remote-based ETcsat is assessed by utilizing the reference ETo derived from Food and Agriculture Organization (FAO) methodology, while the meteorological data and Kc are evolved from Normalized Difference Vegetation Index (NDVI). According to the rainfall frequency studies, indicators demonstrate a significant precipitation decrease. The results reveal the importance of water availability estimation for facing agriculture water needs and the necessity for monitoring of drought conditions in a vulnerable Mediterranean area in order to plan an integrated strategy for climate adaptation. Moreover, the conclusions clarify the usefulness of collaborating innovative very high spatial and sperctral resolution EO images along with ground-truth data for crop ET monitoring and also the assimilation into the precision agriculture methodology which is valuable for optimal agricultural production. [ABSTRACT FROM AUTHOR]

Holocene climate variability in the Mediterranean Basin is often cited as a potential driver of societal change, but the mechanisms of this putative influence are generally little explored. In this paper we integrate two tools–agro-ecosystem modeling of potential agricultural yields and spatial analysis of archaeological settlement pattern data–in order to examine the human consequences of past climatic changes. Focusing on a case study in Provence (France), we adapt an agro-ecosystem model to the modeling of potential agricultural productivity during the Holocene. Calibrating this model for past crops and agricultural practices and using a downscaling approach to produce high spatiotemporal resolution paleoclimate data from a Mediterranean Holocene climate reconstruction, we estimate realistic potential agricultural yields under past climatic conditions. These serve as the basis for spatial analysis of archaeological settlement patterns, in which we examine the changing relationship over time between agricultural productivity and settlement location. Using potential agricultural productivity (PAgP) as a measure of the human consequences of climate changes, we focus on the relative magnitudes of 1) climate-driven shifts in PAgP and 2) the potential increases in productivity realizable through agricultural intensification. Together these offer a means of assessing the scale and mechanisms of the vulnerability and resilience of Holocene inhabitants of Provence to climate change. Our results suggest that settlement patterns were closely tied to PAgP throughout most of the Holocene, with the notable exception of the period from the Middle Bronze Age through the Early Iron Age. This pattern does not appear to be linked to any climatically-driven changes in PAgP, and conversely the most salient changes in PAgP during the Holocene cannot be clearly linked to any changes in settlement pattern. We argue that this constitutes evidence that vulnerability and resilience to climate change are strongly dependent on societal variables. [ABSTRACT FROM AUTHOR]

The present paper offers a brief assessment of climate change and associated impact in Poland, based on selected results of the Polish-Norwegian CHASE-PL project. Impacts are examined in selected sectors, such as water resources, natural hazard risk reduction, environment, agriculture and health. Results of change detection in long time series of observed climate and climate impact variables in Poland are presented. Also, projections of climate variability and change are provided for time horizons of 2021-2050 and 2071-2100 for two emission scenarios, RCP4.5 and RCP8.5 in comparison with control period, 1971-2000. Based on climate projections, examination of future impacts on sectors is also carried out. Selected uncertainty issues relevant to observations, understanding and projections are tackled as well. [ABSTRACT FROM AUTHOR]

This paper examines farm household-level impacts of climate change by examining the relationship between climatic variables and Vietnamese agricultural output. The Ricardian technique is applied with panel data which accounts for both adaptation strategies and household characteristics. This study proposes a two-stage Hsiao model to correct for collinearity between climatic variables and individual effects. The results show that in the dry season, increases in temperatures are beneficial to all farms in the warmer southern regions, while increases in precipitation will damage only irrigated farms in the Central and South regions. The impact of higher temperature in the wet season is similar, except that it will negatively affect net revenue of irrigated farms in the long run. More rainfall in the wet season will increase net revenue in the North region only. Finally, this study combines the estimated results with future climate scenarios to predict how future changes in climate will affect farmers on aggregate. [ABSTRACT FROM AUTHOR]

Background: Climate change is affecting food systems globally, with implications for food security, nutrition, and the health of human populations. There are limited data characterizing the current and future consequences of climate change on local food security for populations already experiencing poor nutritional indicators. Indigenous Amazonian populations have a high reported prevalence of nutritional deficiencies. This paper characterizes the food system of the Shawi of the Peruvian Amazon, climatic and non-climatic drivers of their food security vulnerability to climate change, and identifies potential maladaptation trajectories. Methods and findings: Semi-structured interviews with key informants (n = 24), three photovoice workshops (n = 17 individuals), transect walks (n = 2), a food calendar exercise, and two community dissemination meetings (n = 30 individuals), were conducted within two Shawi communities in Balsapuerto District in the Peruvian Loreto region between June and September of 2014. The Shawi food system was based on three main food sub-systems (forest, farming and externally-sourced). Shawi reported collective, gendered, and emotional notions related to their food system activities. Climatic and non-climatic drivers of food security vulnerability among Shawi participants acted at proximal and distal levels, and mutually reinforced key maladaptation trajectories, including: 1) a growing population and natural resource degradation coupled with limited opportunities to increase incomes, and 2) a desire for education and deforestation reinforced by governmental social and food interventions. Conclusion: A series of maladaptive trajectories have the potential to increase social and nutritional inequities for the Shawi. Transformational food security adaptation should include consideration of Indigenous perceptions and priorities, and should be part of Peruvian food and socioeconomic development policies. [ABSTRACT FROM AUTHOR]

Employing an endogenous switching regression model, we investigate the drivers underlying the adaptations made by farm households and their impacts on crop net incomes for adopters and nonadopters, based on a large panel survey data set across the major grain‐producing provinces in China. The results show that: (i) access to public climate information and technical or physical support increases the likelihood that farmers adapt to climate change by undertaking irrigation and/or drainage measures; and (ii) decisions to adapt increased crop yield, but they did not significantly increase crop profit margins. This point appears to have been ignored by previous studies. Based on these new empirical results, the paper suggests that government should continue to provide climate information and various types of supports to improve farmers’ adaptation abilities and help to reduce the levels of factor input by, for example, substituting organic for chemical fertiliser inputs. Such government‐led policies should be supported alongside the implementation of domestic agricultural supply‐side reform. [ABSTRACT FROM AUTHOR]

ABSTRACT Environmental policy integration (EPI) refers to the incorporation of environmental concerns in non-environmental policy sectors. EPI aims to avoid conflicts between environmental and other policy objectives and to enhance environmental policy by directly targeting the driving forces of environmental degradation. In practice, however, the potential of EPI has not been fully utilized. Scientific knowledge of EPI is found in several, largely isolated, bodies of literature (on EPI, climate policy integration and environmental impact assessment/strategic environmental assessment) and does not provide an adequate answer to the question of what EPI strategies work, where and why. A systematic framework based on comparative empirical research is required to contribute to more effective EPI strategies. In this paper we formulate a research agenda for the development of such a framework on the governance of EPI that is robust, i.e. builds on other theories of environmental governance and policy change and that envisages large-scale, international comparative empirical analysis. Copyright © 2014 John Wiley & Sons, Ltd and ERP Environment [ABSTRACT FROM AUTHOR]

The article discusses studies on the effects of climate variability on crop production and management. It mentions the bad weather conditions in several areas in the U. S. including in the Cedar River in Iowa and in the upper Midwest. Effects of climate variability include the increase in crop prices. Several papers on climate variability and crop management are discussed including on how El Nino Southern Oscillation affect yield distribution of crops. Another paper examines climate stationarity. An overview of the papers is provided.

Historical studies of human interaction with climate are one approach through which to understand responses to environmental stress today. Most studies of vulnerability are based upon short timeframes in the recent past and so may focus on its symptoms rather than its underlying causes, or derive exclusively from systems-based approaches that can present historical change without recourse to human agency. This paper makes extensive use of the historical written record to analyse the comparative root-causes of the vulnerability and resilience of rural farming communities to drought over a period of three centuries (1505–1830) in the area between the Zambezi and Save rivers in southern Africa. The paper first considers vulnerability, resilience and adaptation as temporal frameworks, and analyses evidence for drought and its impacts in the pre-colonial past. It then reconstructs agro-ecosystem, livelihood and institutional vulnerability for six societies and settlements over the long-run using an indicator approach. The resultant trajectories of vulnerability are discussed in the context of the differential impacts of past drought, through which the decisive drivers and constraints of vulnerability and resilience are identified. The paper concludes with a number of key themes from this long-run analysis for contemporary vulnerability and adaptation to climate change, and points to the importance of institutional adaptation, normative goals, and uneven distributions of power. [ABSTRACT FROM AUTHOR]

The dramatic increase in anthropogenic reactive nitrogen (Nr) from agricultural activities negatively affects the environment. An additional challenge is to ensure food security while at the same time keeping the environmental impact to a minimum to prevent negative feedback effects on climate. To date, however, few studies have addressed the direct connection between soil N transformations, forms of N, species‐specific N preferences and climate, despite the fact that the fate of N and soil N biochemical cycling are known to be intimately linked. In this paper we review the connections between soil N transformation, species‐specific N preferences and climate, and explore how N‐use efficiency may be enhanced while minimizing the environmental effect. Gross rates of N mineralization and immobilization govern the amount of available N in soil, especially in natural ecosystems, while nitrification plays a central role in regulating the NO3− to NH4+ ratio. Plant species prefer either NH4+‐N or NO3−‐N, depending on the NO3−‐N to NH4+‐N ratio in their habitat. Thus, plant N uptake could be optimized (i.e. Nr losses reduced) if species‐specific N preferences are maintained by matching N sources applied with prevailing soil‐specific N transformations. Therefore, whether N management practices can optimize N‐use efficiencies hinges on the coupling of soil N transformation with climate and species‐specific N preferences. Highlights: We review the inherent connections between the soil N cycle, plant N preference and climate. Nitrification plays a central role in regulating the NO3− to NH4+ ratio in soil and soil solution. Soil N transformations regulate the composition of hydrological N export. Plant N uptake can be optimized if soil N cycle is well matched with plant N preference. [ABSTRACT FROM AUTHOR]

This paper offers new high-resolution oxygen and carbon isotope data from Stalagmite S1 from Mavri Trypa Cave, SW Peloponnese. Our data provide the climate background to the destruction of the nearby Mycenaean Palace of Nestor at Pylos at the transition from Late Helladic (LH) IIIB to LH IIIC, ~3150–3130 years before present (before AD 1950, hereafter yrs BP) and the subsequent period. S1 is dated by 24 U-Th dates with an averaged precision of ±26 yrs (2σ), providing one of the most robust paleoclimate records from the eastern Mediterranean for the end of the Late Bronze Age (LBA). The δ18O record shows generally wetter conditions at the time when the Palace of Nestor at Pylos was destroyed, but a brief period of drier conditions around 3200 yrs BP may have disrupted the Mycenaean agricultural system that at the time was likely operating close to its limit. Gradually developing aridity after 3150 yrs BP, i.e. subsequent to the destruction, probably reduced crop yields and helped to erode the basis for the reinstitution of a central authority and the Palace itself. [ABSTRACT FROM AUTHOR]

Farming as a livelihood activity in the Bosomtwe District is threatened by climate change. This paper ascertained the alternative livelihood options of smallholder farmers against climate variability and change in the Bosomtwe District. Using a cross-sectional survey, 152 smallholder farmers were sampled from 12 communities using a multistage sampling procedure. The quantitative data collected were subjected to binary logistic regression analysis, contingency tables, frequencies, and Nagelkerke tests of association, embedded in the statistical package for social sciences (SPSS) v.17. The results indicate that farmers are resorting to alternative livelihood activities that are less capital intensive and require less skill in order to secure income and household food supply. Significant determinants of farmers’ alternative livelihood are age, household size, and household food supply, which were significant at p<.030, p<.019, and p<.012, respectively. At a 95% confidence interval (CI), these variables had lower to upper CIs for each of the EXP (B), respectively, at CI = 1.134–12.524, CI = 1.359–30.224, and CI = 1.781–104.561, respectively. The paper recommends that government institutes policies that will create opportunities and draw on various local/grassroots opportunities and resources to expand farmers’ asset base for sustainable livelihood strategies. [ABSTRACT FROM AUTHOR]

Presently, climate change has increased the frequency of extreme meteorological events such as tropical cyclones. In the western Pacific basin, these cyclones are called typhoons, and in this area, around Taiwan Island, their frequency has almost doubled since 2000. When approaching landmasses, typhoons have devastating effects on coastal vegetation. The increased frequency of these events has challenged the survival of coastal plant species and their posttyphoon recovery. In this study, a population of coastal gynodioecious Ficus pedunculosa var. mearnsii (Mearns fig) was surveyed for two years to investigate its recovery after Typhoon Morakot, which occurred in August 2009. Similar to all the Ficus species, the Mearns fig has an obligate mutualistic association with pollinating fig wasp species, which requires syconia (the closed Ficus inflorescence) to complete its life cycle. Moreover, male gynodioecious fig species produces both pollen and pollen vectors, whereas the female counterpart produces only seeds. The recovery of the Mearns fig was observed to be rapid, with the production of both leaves and syconia. The syconium:leaf ratio was greater for male trees than for female trees, indicating the importance of syconium production for the wasp survival. Pollinating wasps live for approximately 1 day; therefore, receptive syconia are crucial. Every typhoon season, few typhoons pass by the coasts where the Mearns fig grows, destroying all the leaves and syconia. In this paper, we highlight the potential diminution of the fig population that can lead to the extinction of the mutualistic pair of species. The effects of climate change on coastal species warrant wider surveys. [ABSTRACT FROM AUTHOR]

The objective of this work is to develop a simple methodology for high resolution crop suitability analysis under current and future climate, easily applicable and useful in Least Developed Countries. The approach addresses both regional planning in the context of climate change projections and pre-emptive short-term rural extension interventions based on same-year agricultural season forecasts, while implemented with off-the-shelf resources. The developed tools are applied operationally in a case-study developed in three regions of Guinea-Bissau and the obtained results, as well as the advantages and limitations of methods applied, are discussed. In this paper we show how a simple approach can easily generate information on climate vulnerability and how it can be operationally used in rural extension services. [ABSTRACT FROM AUTHOR]

Agriculture is the traditional and leading field of economy of Tetritskaro Municipality, but it faces the challenge of changing climate. The study examines the perceptions of climate change among male and female farmers in Tetritskaro, including their primary sources of information, chosen adaptation measures, and their respective needs. Climate change data that are available in Tetritskaro focused on characteristic extreme weather events coupled with face-to-face interviews from 254 farmers (male - 53%, female - 47%) was analyzed. The study revealed that men and women have more or less similar perceptions of climate change issues. Male farmers primarily rely on conversations with fellow farmers for information on climate, seasonal prediction, and weather forecasts, while female farmers depend on indigenous knowledge of the local environment. Male and female farmers have adapted to the changes in climate similarly by applying some measures, while the exchange of information between fellow farmers, use of various hail protection products, and crop diversification techniques are more frequent among male farmers. Farmers expressed the need for low-interest loans to purchase agricultural products and equipment and restore/create windbreak zones. Most of the male farmers indicate the need for the introduction of new technologies, while female farmers are more in need of training in agricultural activities. The reliance on the experience of other farmers can be seen as a form of social learning and knowledge sharing. Understanding and respecting these local communication channels and sources of knowledge is important for designing effective extension programs and information campaigns. Addressing the traditional men-women roles and cultural and social norms is critical to increasing the adaptation opportunities of female farmers. The study highlights the necessity of developing climate change adaptation policies and interventions in Tetritskaro. The obtained results can be used in other agricultural regions with the same problems. [ABSTRACT FROM AUTHOR]

Background: The Yucatan Peninsula (YP) is one of the most important regions in global apiculture. Hence, this work reviews and integrates the knowledge of the species diversity, growth habits, ecosystems, floral calendars during the apiculture production cycles and the types of vegetation represented in the melliferous flora (MF) of the YP; as a basis for proposing selection strategies locating suitable apiculture production areas for local beekeepers and help in the economic development of the region. Methods: A comprehensive review of the MF literature was carried out using the snowball method to determine and update the number of species useful for apiculture. The growth habits and flower calendars were determined through a review of the literature and databases of specimens from the herbaria CICY, UCAM and MEXU. Results: The YP reports a total of 935 taxa of MF (98 families and 498 genera); of these, Campeche has 812 taxa, followed by Quintana Roo (786) and Yucatán (767). The MF is made up of herbs (282), followed by shrubs (260), trees (229), climbers (82), woody climbers (67) palms (14) and parasitic plant (1). Conclusion: Of the 935 species of MF registered at the regional level, a high number of species have flowering throughout the year, however, not all of these species are considered useful for local commercial apiculture. Only a select group of 23 species are considered of major importance for local apiculture industry. [ABSTRACT FROM AUTHOR]

Understanding of how best to support those most vulnerable to climate stress is imperative given expected changes in climate variability. This paper investigates local adaptation strategies to climate variability, focusing on agricultural decision-making in a communal irrigation scheme in Vhembe District, Limpopo Province, South Africa. Research done through interviews, surveys and participatory methods demonstrates that adaptation strategies within a community are socially differentiated and present differing objectives and priorities. These results highlight the need for intervention and policy that support a heterogeneous response to a wide range of stresses. Evidence for climate change is clear and the need for adaptation is urgent. However, adaptation measures have to be sensitively integrated with ongoing development pathways to ensure they are sustainable and relevant to local priorities. [ABSTRACT FROM AUTHOR]

Sudan is the largest country in Africa with an area of about 2.5 million km2; the country hosts a population of about 31 million people. About two-thirds of the country area is located within arid and semi-arid regions. Recently, especially during the last half of the previous century, these regions were subject to various forms of land degradation. This paper discusses the general prospects and constraints of desert agriculture. It also presents a detailed case study of West Omdurman, which is located in a semi-desert climatic zone. The ambitious plans to utilise the area for agricultural production were initiated because of the relatively fertile soil, availability of water and the proximity of the area to marketing and export centres. The paper discusses the different land use systems experienced in the area, reasons for failure are identified and possible remedies discussed. In addition, constraints facing the proposed West Omdurman Canal Project are also discussed. Finally, the paper reviews the major research findings of Rawakeeb Dryland Research Center with regard to promoting agricultural productivity. [ABSTRACT FROM AUTHOR]

The long time scale of the climate change problem and the inherent nature of the carbon cycle bring important implications for present technology development efforts. Even if major technology improvements are achieved for non-carbon-emitting technologies such as energy-intensity improvements, wind, solar, biomass, and nuclear over the course of the 21st century, most examinations of potential future greenhouse emissions conclude that additional technology development will be required to stabilize greenhouse gas concentrations. The development of an expanded suite of technologies including carbon capture and disposal, hydrogen systems and biotechnology hold the potential to dramatically reduce the cost of stabilizing greenhouse gas concentrations. This paper examines these technologies in the context of a global integrated assessment model of energy, agriculture, land-use, economics, and carbon cycle processes. [ABSTRACT FROM AUTHOR]

Population growth and climate change challenge our food and farming systems and provide arguments for an increased intensification of agriculture. A promising option is eco-functional intensification through organic farming, an approach based on using and enhancing internal natural resources and processes to secure and improve agricultural productivity, while minimizing negative environmental impacts. In this concept an active soil microbiota plays an important role for various soil based ecosystem services such as nutrient cycling, erosion control and pest and disease regulation. Several studies have reported a positive effect of organic farming on soil health and quality including microbial community traits. However, so far no systematic quantification of whether organic farming systems comprise larger and more active soil microbial communities compared to conventional farming systems was performed on a global scale. Therefore, we conducted a meta-analysis on current literature to quantify possible differences in key indicators for soil microbial abundance and activity in organic and conventional cropping systems. All together we integrated data from 56 mainly peer-reviewed papers into our analysis, including 149 pairwise comparisons originating from different climatic zones and experimental duration ranging from 3 to more than 100 years. Overall, we found that organic systems had 32% to 84% greater microbial biomass carbon, microbial biomass nitrogen, total phospholipid fatty-acids, and dehydrogenase, urease and protease activities than conventional systems. Exclusively the metabolic quotient as an indicator for stresses on microbial communities remained unaffected by the farming systems. Categorical subgroup analysis revealed that crop rotation, the inclusion of legumes in the crop rotation and organic inputs are important farming practices affecting soil microbial community size and activity. Furthermore, we show that differences in microbial size and activity between organic and conventional farming systems vary as a function of land use (arable, orchards, and grassland), plant life cycle (annual and perennial) and climatic zone. In summary, this study shows that overall organic farming enhances total microbial abundance and activity in agricultural soils on a global scale. [ABSTRACT FROM AUTHOR]

A new, high-resolution (4 km), gridded land surface dataset produced with the Land Information System (LIS) is introduced, and the first set of synthesis of key hydroclimatic variables is reported. The dataset is produced over a 33-yr time period (1980-2012) for the U.S. Midwest with the intent to aid the agricultural community in understanding hydroclimatic impacts on crop production and decision-making in operational practices. While approximately 20 hydroclimatic variables are available through the LIS dataset, the focus here is on soil water content, soil temperature, and evapotranspiration. To assess the performance of the model, the LIS dataset is compared with in situ hydrometeorological observations across the study domain and with coarse-resolution reanalysis products [NARR, MERRA, and NLDAS-2 (phase 2 of the North American Land Data Assimilation System)]. In agricultural regions such as the U.S. Midwest, finescale hydroclimatic mapping that links the regional scale to the field scale is necessary. The new dataset provides this link as an intermediate-scale product that links point observations and coarse gridded datasets. In general, the LIS dataset compares well with in situ observations and coarser gridded products in terms of both temporal and spatial patterns, but cases of strong disagreement exist particularly in areas with sandy soils. The dataset is made available to the broader research community as an effort to fill the gap in spatial hydroclimatic data availability. [ABSTRACT FROM AUTHOR]

The threat of global climate change has caused concern among scientists because crop production could be severely affected by changes in key climatic variables that could compromise food security both globally and locally. Although it is true that extreme climatic events can severely impact small farmers, available data is just a gross approximation at understanding the heterogeneity of small scale agriculture ignoring the myriad of strategies that thousands of traditional farmers have used and still use to deal with climatic variability. Scientists have now realized that many small farmers cope with and even prepare for climate change, minimizing crop failure through a series of agroecological practices. Observations of agricultural performance after extreme climatic events in the last two decades have revealed that resiliency to climate disasters is closely linked to the high level of on-farm biodiversity, a typical feature of traditional farming systems. Based on this evidence, various experts have suggested that rescuing traditional management systems combined with the use of agroecologically based management strategies may represent the only viable and robust path to increase the productivity, sustainability and resilience of peasant-based agricultural production under predicted climate scenarios. In this paper we explore a number of ways in which three key traditional agroecological strategies (biodiversification, soil management and water harvesting) can be implemented in the design and management of agroecosystems allowing farmers to adopt a strategy that both increases resilience and provides economic benefits, including mitigation of global warming. [ABSTRACT FROM AUTHOR]

The dry subtropics are subject to a rapid expansion of crops and pastures over vast areas of natural woodlands and savannas. In this paper, we explored the effect of this transformation on vegetation productivity (magnitude, and seasonal and long-term variability) along aridity gradients which span from semiarid to subhumid conditions, considering exclusively those areas with summer rains (>66%). Vegetation productivity was characterized with the proxy metric “Enhanced Vegetation Index” (EVI) (2000 to 2012 period), on 6186 natural and cultivated sampling points on five continents, and combined with a global climatology database by means of additive models for quantile regressions. Globally and regionally, cultivation amplified the seasonal and inter-annual variability of EVI without affecting its magnitude. Natural and cultivated systems maintained a similar and continuous increase of EVI with increasing water availability, yet achieved through contrasting ways. In natural systems, the productivity peak and the growing season length displayed concurrent steady increases with water availability, while in cultivated systems the productivity peak increased from semiarid to dry-subhumid conditions, and stabilized thereafter giving place to an increase in the growing season length towards wetter conditions. Our results help to understand and predict the ecological impacts of deforestation on vegetation productivity, a key ecosystem process linked to a broad range of services. [ABSTRACT FROM AUTHOR]

The scientific community has recognized the importance of integrating farmer’s perceptions and knowledge (FPK) for the development of sustainable pest and disease management strategies. However, the knowledge gap between indigenous and scientific knowledge still contributes to misidentification of plant health constraints and poor adoption of management solutions. This is particularly the case in the context of smallholder farming in developing countries. In this paper, we present a case study on coffee production in Uganda, a sector depending mostly on smallholder farming facing a simultaneous and increasing number of socio-ecological pressures. The objectives of this study were (i) to examine and relate FPK on Arabica Coffee Pests and Diseases (CPaD) to altitude and the vegetation structure of the production systems; (ii) to contrast results with perceptions from experts and (iii) to compare results with field observations, in order to identify constraints for improving the information flow between scientists and farmers. Data were acquired by means of interviews and workshops. One hundred and fifty farmer households managing coffee either at sun exposure, under shade trees or inter-cropped with bananas and spread across an altitudinal gradient were selected. Field sampling of the two most important CPaD was conducted on a subset of 34 plots. The study revealed the following findings: (i) Perceptions on CPaD with respect to their distribution across altitudes and perceived impact are partially concordant among farmers, experts and field observations (ii) There are discrepancies among farmers and experts regarding management practices and the development of CPaD issues of the previous years. (iii) Field observations comparing CPaD in different altitudes and production systems indicate ambiguity of the role of shade trees. According to the locality-specific variability in CPaD pressure as well as in FPK, the importance of developing spatially variable and relevant CPaD control practices is proposed. [ABSTRACT FROM AUTHOR]

The agricultural production of a country is mainly influenced by social, scientific, technological and climatological factors. By knowing the relationship between the meteorological factors and production rates is, as such, highly important with the agricultural management. The set of agrometeorological conditions in an agricultural year can determine the value of the harvest of a certain crop through the evolution of each meteorological parameter and according to the specific bioclimatic requirements of each phenological phase. As such, each meteorological event might or might not have a positive impact upon culture growth and as they deviate more and more from the optimal need, they can become risk factors, with different degrees of intensity. Wheat is the most important agricultural crop in Romania, both as a cultivated area and as an economic and social value. The ecological plasticity of this plant offers it the possibility to adapt in the most diverse climatic conditions. Apparently resistant to the action of unfavourable factors, offering satisfactory yields, wheat is very vulnerable to extreme values of the crop stress index, which can sometimes become risky and affect in different proportions the crop or even destroy it. The purpose of this paper is to present a short climatological analysis of the western part of Romania and the meteorological hazards imposed by the current climate towards the wheat yields. [ABSTRACT FROM AUTHOR]

This paper aims to describe the spatial-temporal variability in catch of the main fishery resources of the Amazon River and floodplain lakes of the Lower Amazon, as well as relating the Catch per Unit of Effort with anomalies of some of the Amazon River, atmosphere and Atlantic Ocean system variables, determining the influence of the environment on the Amazonian fishery resources. Finfish landings data from the towns and villages of the Lower Amazon for the fisheries of three sites (Óbidos, Santarém and Monte Alegre), were obtained for the period between January 1993 and December 2004. Analysis of variance, detrended correspondence analysis, redundancy analysis and multiple regression techniques were used for the statistical analysis of the distinct time series. Fisheries production in the Lower Amazon presents differences between the Amazon River and the floodplain lakes. Production in the Amazon River is approximately half of the one of the floodplain lakes. This variability occurs both along the Lower Amazon River region (longitudinal gradient) and laterally (latitudinal gradient) for every fishing ground studied here. The distinct environmental variables alone or in association act differently on the fishery stocks and the success of catches in each fishery group studied here. Important variables are the flooding events; the soil the sea surface temperatures; the humidity; the wind and the occurence of El Niño-Southern Oscillation events. Fishery productivity presents a large difference in quantity and distribution patterns between the river and floodplain lakes. This variability occurs in the region of the Lower Amazon as well as laterally for each fishery group studied, being dependent on the ecological characteristics and life strategies of each fish group considered here. [ABSTRACT FROM AUTHOR]