Biogeographic analysis of ferns and lycophytes in Oaxaca: A Mexican beta-diverse area

Background: Spatial patterns related to richness and endemism of Mexican ferns and lycophytes are not well known, particularly in highly biodiverse areas; among these, Oaxaca is considered a highly biodiverse Mexican state. Questions: Where are located the centers of richness and endemism of lycophytes and ferns in Oaxaca? Both groups of plants support the idea of beta-diverse state condition for Oaxaca? Study site and research period: The study includes all territory of Oaxaca, between 2015 and 2019. Methods: We analyzed the species distribution using grid cells of 20’ × 20’ of latitude and longitude as study units. For this, we applied species richness, endemism indexes (weighted endemism and corrected weighted endemism), and components of biodiversity (a, b and g), associated with a complementarity index. The distributional data of the species were mainly obtained from herbarium specimens. Results: The richness areas are concentrated in the Sierra Norte and Istmo regions. Three important areas in richness and endemic species are suggested from the endemism indexes. Most of the grid-cell combinations resulted in high values from the complementarity analysis suggesting a high species turnover. Conclusions: The diversity analyses suggested that Oaxaca is a beta-diverse state. The NOM-059 needs a serious, urgent, and critical revision for ferns and different biological groups. The Areas Voluntarily Designated for Conservation in Oaxaca play a major role in relation to Natural Protected Areas for conservation of ferns and lycophytes.

A Completeness and Complementarity Analysis of the Data Sources in the NOAA In Situ Sea Surface Temperature Quality Monitor (iQuam) System

In situ sea surface temperatures (SST) are the key component of the calibration and validation (Cal/Val) of satellite SST retrievals and data assimilation (DA). The NOAA in situ SST Quality Monitor (iQuam) aims to collect, from various sources, all available in situ SST data, and integrate them into a maximally complete, uniform, and accurate dataset to support these applications. For each in situ data type, iQuam strives to ingest data from several independent sources, to ensure most complete coverage, at the cost of some redundancy in data feeds. The relative completeness of various inputs and their consistency and mutual complementarity are often unknown and are the focus of this study. For four platform types customarily employed in satellite Cal/Val and DA (drifting buoys, tropical moorings, ships, and Argo floats), five widely known data sets are analyzed: (1) International Comprehensive Ocean-Atmosphere Data Set (ICOADS), (2) Fleet Numerical Meteorology and Oceanography Center (FNMOC), (3) Atlantic Oceanographic and Meteorological Laboratory (AOML), (4) Copernicus Marine Environment Monitoring Service (CMEMS), and (5) Argo Global Data Assembly Centers (GDACs). Each data set reports SSTs from one or more platform types. It is found that drifting buoys are more fully represented in FNMOC and CMEMS. Ships are reported in FNMOC and ICOADS, which are best used in conjunction with each other, but not in CMEMS. Tropical moorings are well represented in ICOADS, FNMOC, and CMEMS. Some CMEMS mooring reports are sampled every 10 min (compared to the standard 1 h sampling in all other datasets). The CMEMS Argo profiling data set is, as expected, nearly identical with those from the two Argo GDACs.

Gap analyses of priority wild relatives of food crop in current ex situ and in situ conservation in Indonesia

Conservation programmes are always limited by available resources. Careful planning is therefore required to increase the efficiency of conservation and gap analysis can be used for this purpose. This method was used to assess the representativeness of current ex situ and in situ conservation actions of 234 priority crop wild relatives (CWR) in Indonesia. This analysis also included species distribution modelling, the creation of an ecogeographical land characterization map, and a complementarity analysis to identify priorities area for in situ conservation and for further collecting of ex situ conservation programmes. The results show that both current ex situ and in situ conservation actions are insufficient. Sixty-six percent of priority CWRs have no recorded ex situ collections. Eighty CWRs with ex situ collections are still under-represented in the national genebanks and 65 CWRs have no presence records within the existing protected area network although 60 are predicted to exist in several protected areas according to their potential distribution models. The complementarity analysis shows that a minimum of 61 complementary grid areas (complementary based on grid cells) are required to conserve all priority taxa and 40 complementary protected areas (complementary based on existing protected areas) are required to conserve those with known populations within the existing in situ protected area network. The top ten of complementary protected areas are proposed as the initial areas for the development of CWR genetic reserves network in Indonesia. It is recommended to enhanced coordination between ex situ and in situ conservation stakeholders for sustaining the long term conservation of CWR in Indonesia. Implementation of the research recommendations will provide for the first time an effective conservation planning of Indonesia’s CWR diversity and will significantly enhance the country’s food and nutritional security.

A New Multi-Sensor Fusion Target Recognition Method Based on Complementarity Analysis and Neutrosophic Set

To improve the efficiency, accuracy, and intelligence of target detection and recognition, multi-sensor information fusion technology has broad application prospects in many aspects. Compared with single sensor, multi-sensor data contains more target information and effective fusion of multi-source information can improve the accuracy of target recognition. However, the recognition capabilities of different sensors are different during target recognition, and the complementarity between sensors needs to be analyzed during information fusion. This paper proposes a multi-sensor fusion recognition method based on complementarity analysis and neutrosophic set. The proposed method mainly has two parts: complementarity analysis and data fusion. Complementarity analysis applies the trained multi-sensor to extract the features of the verification set into the sensor, and obtain the recognition result of the verification set. Based on recognition result, the multi-sensor complementarity vector is obtained. Then the sensor output the recognition probability and the complementarity vector are used to generate multiple neutrosophic sets. Next, the generated neutrosophic sets are merged within the group through the simplified neutrosophic weighted average (SNWA) operator. Finally, the neutrosophic set is converted into crisp number, and the maximum value is the recognition result. The practicality and effectiveness of the proposed method in this paper are demonstrated through examples.

Swedish Crop Wild Relatives: towards a national strategy for in situ conservation of CWR

In 2015, the Nordic countries (Sweden, Denmark, Finland, Norway and Iceland) initiated a project to help strengthen the efforts of conservation and use of crop wild relatives (CWR) across the region. Policy recommendations that were put forward included creating national strategies for each Nordic country and adopting and implementing complementary in situ conservation as the main approach for safeguarding CWR across the region. The present work explores in greater detail the situation for Sweden. Taxa rich areas and areas where potential data bias may be prevalent are located. An eco-geographic map is constructed to help determine how genetic diversity may be portioned across the country within populations of taxa. An in situ complementarity analysis accounting for taxa richness, eco-geographic richness and the protected area network in the country is also presented. Possible reasons for diverging results, as compared to the regional analysis, are discussed. The document serves as a starting point for further in-depth research on CWR distribution, conservation and use within Sweden.

In situ Conservation Assessment of Forage and Fodder CWR in Spain Using Phytosociological Associations

Crop wild relatives (CWR) can be used to mitigate the negative effects of climate change on crops, but their genetic diversity conservation has not been properly addressed. We propose a new target unit for conservation (Asso-EcoU) based on the occurrence of phytosociological associations in different environments. This approach involves using ecogeographical information and distribution data of associations to identify an optimized set of locations for in situ genetic diversity conservation. Thirty-nine CWR species, grouped in 15 associations, generated 165 Asso-EcoUs. Using the Sites of Community Importance (SCI) of Natura 2000 in Spain, we performed three analyses: (1) gap analysis, (2) coverage of the network, and (3) complementarity analysis. Analyses were performed with both target conservation units, associations, or Asso-EcoUs. The SCI network includes 100% of the associations and 69% of the Asso-EcoUs. The coverage assessment showed that 8.8% of the network is enough to encompass all the networks’ target conservation units. Complementarity analysis showed that seven and 52 SCI areas are needed to contain at least one site of the 15 associations and the 114 Asso-EcoUs, respectively. These results highlight the value of Asso-EcoUs to potentially incorporate the genetic diversity component into conservation plans, while increasing the number of species covered.

Complementarity Analysis Islamic Banks / Microfinance Institutions in Senegal

The purpose of this article is to assess the use of the complementary relationship between the Islamic Bank of Senegal and microfinance institutions in the SME financing process. Currently in Senegal, the constraints on the financing of SMEs are intensifying more and more and continue to limit state policies in the process of promoting sustained economic growth for lack of funding model that responds effectively to investment needs of the latter. In this perspective of marginalization of SMEs by traditional financial intermediaries’ especially traditional banks, the importance of using Islamic Bank / MFI complementarity could be a solution to such a situation of under-financing of SMEs. This new funding model can have a downward impact on transaction costs, reduce risk management and increase the medium- and long-term volume of credit available to SMEs. It would thus promote the financial and social inclusion of Senegalese SMEs. This new funding model can have a downward impact on transaction costs, reduce risk management and increase the medium- and long-term volume of credit available to SMEs. It would thus promote the financial and social inclusion of Senegalese SMEs.