Genetic variation among pumpkin landraces based on seed qualities and molecular markers.

BACKGROUND: Germplasm identification is an essential connection linking the conservation and exploitation of crop genetic resources in several plant breeding programs. This study highlights the biochemical and molecular variations in a collection of pumpkin genotypes representing four climate zones. The information could help improve germplasm management and sustainable exploitation of the neglected genotypes. METHODS AND RESULTS: Chemical characterization and genetic diversity among nine Egyptian landraces of pumpkin (Cucurbita moschata Duchesne) were estimated using Diode Array (DDA) Near Infra-Red (NIR) technology and the Inter simple Sequence Repeat markers (ISSR). Pumpkin seeds were collected from various geographical parts of Egypt. The spectroscopic properties of pumpkin seeds were used to quantify the fat, moisture, protein, ash, fiber, and total carbohydrate contents. The ten ISSR primers generated a total number of 46 genotype-specific bands, and the total polymorphism produced in the tested landraces was 63.58%. Based on the ISSR data, the polymorphism analysis divided the nine pumpkin landraces into two main groups, two subgroups, and four sub subgroups. The most diverse pumpkin landraces were Alexandria and Sohag, with a similarity percentage of 49.6%. However, the highest calculated similarity value was 88.3% between Matruh and Gharbia. The resultant genotype-specific bands can be used as markers for future genotypic characterization of pumpkins. CONCLUSIONS: The study results could be helpful in the chemical phenotypic characterization and the parental selection and planning for future breeding programs for pumpkin improvement.

Modeling relationship between land surface temperature anomaly and environmental factors using GEE and Giovanni.

Land surface temperature (LST) and vegetation cover changes are two indicators of landscapes in a region. The relationship between LST anomalies, elevation, vegetation, and urban growth is significant to conservation. This study addresses this issue using night-time satellite imagery, kernel methods (points aggregation), and the trend analysis for a long-term period (2001-2017) in Iran. Variables for two seasons (summer and winter) in urban and natural land uses were derived using the Google Earth Engine (GEE) and NASA's Giovanni. Point data derived from raster maps were quantified using statistical kernel and trend analysis. As result, it was observed that LST rise in various elevations, seasons, and land uses. The LST was analyzed through kernels (point aggregation in scatter graphs), which shifted to the right. The LST anomaly in the daytime had the highest maximum value (>4 °C) and lowest minimum value (<-5 °C) in forests and mountains and metropolises with the highest population growth rate. Summer and winter seasons had positive trends in LST for forest and mountain land uses. All seasons had positive trends in EVI in the mountain, and desert land uses. This warming and increasing LST can increase vulnerability to drought, dust storms, floods, avalanches, and natural fires. The EVI is increasing over the years due to government projects in green spaces and urban parks. There is a need to protect urban and natural environments to prevent natural disasters and unplanned population growth.

Multiscale land use impacts on water quality: Assessment, planning, and future perspectives in Brazil.

Brazil contains the largest volume of freshwater of any nation in the world; however, this essential natural resource is threatened by rapid increases in water consumption and water quality degradation, mainly as a result of anthropogenic pressures. Declining water quality has become an increasingly more significant global concern as economic activities and human populations expand and climate change markedly alters hydrological cycles. Changes in land-use/land-cover (LULC) pattern have been recognized as a major driver of water quality degradation, however different LULC types and intensities affect water quality in different ways. In addition, the relationships between LULC and water quality may differ for different spatial and temporal scales. The increase in deforestation, agricultural expansion, and urban sprawl in Brazil highlights the need for water quality protection to ensure immediate human needs and to maintain the quality of water supplies in the long-term. Thus, this manuscript provides an overview of the relationships between LULC and water quality in Brazil, aiming at understanding the effects of different LULC types on water quality, how spatial and temporal scales contribute to these effects, and how such knowledge can improve watershed management and future projections. In general, agriculture and urban areas are the main LULCs responsible for water quality degradation in Brazil. However, although representing a small percentage of the territory, mining has a high impact on water quality. Water quality variables respond differently at different spatial scales, so spatial extent is an important aspect to be considered in studies and management. LULC impacts on water quality also vary seasonally and lag effects mean they take time to occur. Forest restoration can improve water quality and multicriteria evaluation has been applied to identify priority areas for forest restoration and conservation aiming at protecting water quality, but both need further exploration. Watershed modelling has been applied to simulate future impacts of LULC change on water quality, but data availability must be improved to increase the number, locations and duration of studies. Because of the international nature of watersheds and the consistent relationships between land use and water quality in Brazil, we believe our results will also aid water management in other countries.

Multivariate assessment of spatial and temporal variations in irrigation water quality in Lake Uluabat watershed of Turkey.

Irrigation water quality has important implications on salinity, ion toxicity, production cost, and crop failures. There is a need for a comprehensive analysis of spatial and temporal dynamics in parameters at a watershed scale. This information is critical for irrigation management in agricultural production. The Lake Uluabat watershed is a significant agricultural area of Turkey, which is studied using monitored water data. Multivariate assessment is performed using cluster analysis (CA), discriminant analysis (DA), principal component analysis (PCA), and factor analysis (FA) to evaluate temporal and spatial variations in water quality in the watershed. The data is processed by clustering, reducing data dimensionality, delineating indicator parameters, assessing source identification, and evaluating temporal changes and spatial patterns. The results show that the most representative discriminant parameters had more than 90.98% validity in both temporal and spatial analyses. Runoff rate (Q) and water temperature (WT) were identified in the temporal study, while spatial analysis showed bicarbonate (HCO3-), sulfate (SO42-), and boron (B3+) as indicators. Salinity, sodicity, boron hazard, and alkalinity affect both spatial and temporal water quality patterns in the watershed. It is observed that continued use of poor-quality irrigation water can adversely affect agriculture and soil health in a watershed. Spatio-temporal relationships in parameters will be useful in sustainable irrigation management and farm planning for improving crop productivity and soil health.

Modeling the impacts of oil palm plantations on water quantity and quality in the Kais River Watershed of Indonesia.

Oil palm plantations can impact hydrological processes in many tropical watersheds. The rapid conversion of tropical rainforests for commercial operations in recent decades has been associated with water scarcity, flooding, and polluted rivers. However, this widespread and emerging issue is less studied and underreported due to limited data availability, modeling complexity, and the remote nature of these landscapes. Ecohydrologic modeling enables us to investigate changes in watershed conditions caused by large-scale land cover changes from plantations. This study examines the impact of oil plantations on water quantity and quality using the SWAT+ model in the Kais River Watershed, West Papua, Indonesia. The objective is to assess the hydrological changes concerning land cover conversion to oil palm plantations. Results show that establishing oil palm plantations increased surface runoff by 21 %, and sediment yields rose by 16.9 % compared to the baseline. There was also a significant increase of 78 % in mean annual total nitrogen and 144 % in total phosphorous after the plantations' establishment. The results show that forest conversion to oil palm plantations in the Kais River watershed is a primary driver of change in hydrological regimes, resulting in the deterioration of water quality. There is a need for conservation strategies to mitigate the impacts of significant landscape changes in watershed ecosystems.

A sustainability framework based on threats, consequences, and solutions (TCS) for managing watershed commons.

Sustainable management of common pool resources requires local information and participation. We develop a framework for managing commons based on threats, consequences, and solutions (TCS). The status of the community's interaction with their local commons is critical in developing viable solutions to avoiding the loss of natural resources, enhancing the benefits they provide, and sustaining the functions they perform. Threats to natural resources, the consequences of their depletion, and the solutions local communities perceive as most effective to prevent this loss are assessed as related to socioeconomic and landscape factors to develop strategies for the resilience of commons. Communities and representative stakeholders (224 respondents) participated in a survey in Honduras's Lake Yojoa watershed. The community's perception was also evaluated for impacts of changes in land use and climate on local commons. An ordinal logistic regression analysis was used to determine the effect of land use, geographic, and demographic factors on community perceptions. Distance to the lake, landcover percentages, slope, type of work, age, and importance of tourism were significant in influencing community interaction and perception of TCS. The involvement of communities in deriving knowledge on TCS is critical to increasing the resilience of local commons to emerging threats.

Physiological and Anatomical Responses of Faba Bean Plants Infected with Chocolate Spot Disease to Chemical Inducers.

Plant diseases are biotic stresses that restrict crop plants' ability to develop and produce. Numerous foliar diseases, such as chocolate spots, can cause significant production losses in Vicia faba plants. Certain chemical inducers, including salicylic acid (SA), oxalic acid (OA), nicotinic acid (NA), and benzoic acid (BA), were used in this study to assess efficacy in controlling these diseases. A foliar spray of these phenolic acids was used to manage the impacts of the biotic stress resulting from disease incidence. All tested chemical inducers resulted in a significant decrease in disease severity. They also enhanced the defense system of treated plants through increasing antioxidant enzyme activity (Peroxidase, polyphenol oxidase, ß-1, 3-glucanase, and chitinase) compared to the corresponding control. Healthy leaves of faba plants recorded the lowest (p < 0.05) values of all antioxidant activities compared to those plants infected by Botrytis fabae. Moreover, the separation of proteins using SDS-PAGE showed slight differences among treatments. Furthermore, foliar spray with natural organic acids reduced the adverse effects of fungal infection by expediting recovery. The SA (5 mM) treatment produced a pronounced increase in the upper, lower epidermis, palisade thickness, spongy tissues, midrib zone, length, and width of vascular bundle. The foliar application with other treatments resulted in a slight increase in the thickness of the examined layers, especially by benzoic acid. In general, all tested chemical inducers could alleviate the adverse effects of the biotic stress on faba bean plants infected by Botrytis fabae.

Characterization of Some Cichorium Taxa Grown under Mediterranean Climate Using Morphological Traits and Molecular Markers.

The verification of taxonomic identities is of the highest significance in the field of biological study and categorization. Morpho-molecular characterization can clarify uncertainties in distinguishing between taxonomic groups. In this study, we characterized five local taxa of the genus Cichorium using morphological and molecular markers for taxonomic authentication and probably future genetic improvement. The five Cichorium taxa grown under the Mediterranean climate using morphological traits and molecular markers showed variations. The examined taxa showed a widespread range of variations in leaf characteristics, i.e., shape, type, texture, margin, and apex and cypsela characteristics i.e., shape, color, and surface pattern. The phylogenetic tree categorized the Cichorium intybus var. intybus and C. intybus var. foliosum in a single group, whereas C. endivia var. endivia was grouped separately. However, C. endivia var. crispum and C. endivia subsp. pumilum were classified as a cluster. The recorded variance between classes using the molecular markers SCoT, ISSR, and RAPD was documented at 34.43%, 36.62%, and 40.34%, respectively. Authentication using molecular tools proved the usefulness of a dichotomous indented key, as revealed by morphological identification. The integrated methodology using morphological and molecular assessment could support improved verification and authentication of the various taxa of chicory. It seems likely that the Egyptian chicory belongs to C. endivia subsp. pumilum.

Effects of climate and land use changes on water quantity and quality of coastal watersheds of Narragansett Bay.

Land use is rapidly changing in coastal watersheds, with implications on eutrophication of coastal watersheds. The long-term consequences of climate change on these impacts are critical to watershed management. With coastal watersheds facing frequent hypoxic events and cultural eutrophication, the coupled influence of land use and climate change can lead to policies under nonstationarity assumptions. This study aims to model a regional coastal watershed system using a dynamic simulation with future land use and climate stressors for watershed sustainability. The efficacy of current nutrient management efforts may be limited or undone if future changes in climate or land use increase nutrient and sediment loads to the Narragansett Bay. The baseline model was calibrated and validated to accurately reflect watershed processes to simulate water quantity and quality under the independent and combined influence of future climate and land scenarios. Results show significant effects of climate change and land-use change on the watershed, with demonstrated impacts on sediment loading, organic N, organic P, and nitrates. Climate impacts were much more significant than land-use effects, but land-use impacts displayed greater regional variation. The results from combined simulations indicate that future climate and land-use change will likely negatively impact the coastal system and need restoration efforts that consider nonstationarity. However, the results also highlight the potential to utilize land use to mitigate and adapt to climate change impacts.

SWAT-SF: A flexible SWAT-based model for watershed-scale water and soil salinity modeling.

Natural and anthropogenic complex processes release salts into the environment. These change the balances of natural systems in the watersheds. Models can assist study of salinity processes throughout watersheds. This study proposes a flexible water and soil salinity module for the Soil and Water Assessment Tool (SWAT) that can profitably incorporate expert scientific judgments into a deterministic salinity framework to adapt predicted salinity processes to actual salinity processes watershed-scale. The proposed flexible salinity model (SWAT-SF) was developed using new equations for salinity assessment and then successfully applied to the Dehram River Basin located south of Iran that endangers natural and anthropogenic salinity problems. The SWAT-SF model uses a general framework that can be utilized with/without the direct guidance of experts for the determination of salinity processes, the extent of the salinity, identification and investigation of the saline site, assessment and management of the salinity, and evaluation of salinity economics throughout the world.

Enhanced GMCR model for resolving conflicts in a transboundary wetland.

This research proposes an enhanced Graph Model for Conflict Resolution (GMCR) with application to an international wetland. The integrated model enhances GMCR using the Analytical Hierarchy Process (AHP) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) methods to extract the relative preferences of decision-makers in conflict resolution. The Hawizeh/Hoor-Al-Azim Wetland is facing increased dust storms in recent decades which are attributed to drying up of Mesopotamian wetlands, creating the potential for conflicts among riparian countries. The proposed integrated approach was applied in the Hawizeh/Hoor-Al-Azim Wetland fed by the Tigris and Karkheh Rivers. Turkey, Iran, Iraq, and Syria are located in the Tigris River basin, and the Karkheh River originates from the Zagros Mountains in western Iran. The results indicate that the achievement of an environmental balance depends on cooperation between Iran and Iraq to persuade Turkey to release the environmental flow to the wetland. Three strong equilibrium points were identified among 15 feasible states: (a) establishing a regional agreement among Iran, Iraq, and Turkey to reduce the effects of conflicts in the Hawizeh/Hoor-Al-Azim Wetland; (b) coalition of Iran and Iraq to motivate Turkey to reduce water withdrawal from the Tigris River; and finally, (c) exchanging water release for commodity market in Iran and Iraq for Turkey. In general, the economic cooperation among countries can be used as a negotiation tool to solve water conflicts in international wetlands.

Spatial and temporal uncertainty in climatic impacts on watershed systems.

Evaluating the uncertainty of climatic impacts on watershed systems is critical in planning for water supplies, water allocation, and demand at multiple scales. With the increasing frequency of water crises worldwide, understanding the nature of climatic impacts along spatial and temporal dimensions is vital to the development of timely, and spatially relevant mitigation options. This study aims to quantify the nature of hydrologic uncertainties at a spatial and temporal dimension in a regional watershed system under scenarios of varying climatic uncertainties. Watershed-wide impacts of climate change under uncertain future scenarios are modeled with the Soil and Water Assessment Tool (SWAT) for the Connecticut River Watershed of northeastern USA. Changes in watershed flows are quantified for at subbasin scale. The results show that uncertainty in climate change, primarily through variability in precipitation and temperature can lead to spatial and temporal uncertainty in hydrologic processes in the watershed system. In general, the results show that uncertainty in climate can significantly impact the spatial and temporal characteristics in runoff, infiltration, evapotranspiration, and water yield of watershed systems. Strategies to enhance watershed resilience to climatic uncertainty need dynamic information on the vulnerability. Spatial and temporal strategies for adaptation to climatic change conditions could include forest cover and management practices in sensitive locations at local and regional scales.

Exploring ecosystem services and scenario simulation in the headwaters of Qiantang River watershed of China.

BACKGROUND: Land use change has a significant impact on ecosystem services in watershed systems. The upper part of Qiantang River, Kaihua Country has experienced land-use changes over the past 15 years, but the effect of these changes on ecosystem services remains unknown. OBJECTIVE: This study evaluates land-use changes in response to ecological protection and the effects on ecosystem services. METHODS: Ecosystem services during 2000-2015 are assessed and compared to future land use scenarios in 2025 (business-as-usual, strategic planning, environmental protection, and economic development). These scenarios are identified in collaboration with local stakeholders and used to assess changes in ecosystem services under future scenarios. RESULTS: Analysis shows that during 2000-2015, the woodland increased by 7335 ha as a result of the "Grain for green" policy, and the built-up land increased by 2259 ha due to urbanization, and these changes affected ecosystem services, such as water yield, nitrogen and phosphorus exports which decreased by 0.29%, 12.45%, and 13.74%, respectively, and soil retention, carbon storage, and habitat quality index increased by 0.05%, 1.36%, and 0.80%, respectively. CONCLUSION: Among all the future scenarios, the strategic planning scenario is an optimal land use strategy to balance the demand for urban development, while providing higher levels of ecosystem services.

Rhinos in the Parks: An Island-Wide Survey of the Last Wild Population of the Sumatran Rhinoceros.

In the 200 years since the Sumatran rhinoceros was first scientifically described (Fisher 1814), the range of the species has contracted from a broad region in Southeast Asia to three areas on the island of Sumatra and one in Kalimantan, Indonesia. Assessing population and spatial distribution of this very rare species is challenging because of their elusiveness and very low population number. Using an occupancy model with spatial dependency, we assessed the fraction of the total landscape occupied by Sumatran rhinos over a 30,345-km2 survey area and the effects of covariates in the areas where they are known to occur. In the Leuser Landscape (surveyed in 2007), the model averaging result of conditional occupancy estimate was ψ(SE[ψ]) = 0.151(0.109) or 2,371.47 km2, and the model averaging result of replicated level detection probability p(SE[p]) = 0.252(0.267); in Way Kambas National Park--2008: ψ(SE[ψ]) = 0.468(0.165) or 634.18 km2, and p(SE[p]) = 0.138(0.571); and in Bukit Barisan Selatan National Park--2010: ψ(SE[ψ]) = 0.322(0.049) or 819.67 km2, and p(SE[p]) = 0.365(0.42). In the Leuser Landscape, rhino occurrence was positively associated with primary dry land forest and rivers, and negatively associated with the presence of a road. In Way Kambas, occurrence was negatively associated with the presence of a road. In Bukit Barisan Selatan, occurrence was negatively associated with presence of primary dryland forest and rivers. Using the probabilities of site occupancy, we developed spatially explicit maps that can be used to outline intensive protection zones for in-situ conservation efforts, and provide a detailed assessment of conserving Sumatran rhinos in the wild. We summarize our core recommendation in four points: consolidate small population, strong protection, determine the percentage of breeding females, and recognize the cost of doing nothing. To reduce the probability of poaching, here we present only the randomized location of site level occupancy in our result while retaining the overall estimation of occupancy for a given area. ψ