scholarly journals Assessing the Impact of Physical and Anthropogenic Environmental Factors in Determining the Habitat Suitability of Seagrass Ecosystems

2020 ◽  
Vol 12 (20) ◽  
pp. 8302
Author(s):  
Ryan Hastings ◽  
Valerie Cummins ◽  
Paul Holloway
Keyword(s):  
Environmental Variables ◽  
National Level ◽  
Entropy Method ◽  
Blue Carbon ◽  
Anthropogenic Activity ◽  
Future Research ◽  
Suitable Habitat ◽  
Distribution Models ◽  
Seagrass Meadows ◽  
The Impact

Blue Carbon ecosystems such as mangroves, saltmarshes and seagrasses have been shown to sequester large amounts of carbon, and subsequently are receiving renewed interest from policy experts in light of climate change. Globally, seagrasses remain the most understudied of these ecosystems, with their total geographic extent largely unknown due to challenges in mapping dynamic coastal environments. As such, species distribution models (SDMs) have been used to identify areas of high suitability, in order to inform our understanding of where unmapped meadows may be located or to identify suitable sites for restoration and/or enhancement efforts. However, many SDMs parameterized to project seagrass distributions focus on physical and not anthropogenic variables (i.e., dredging, aquaculture), which can have negative impacts on seagrass meadows. Here we used verified datasets to identify the potential distribution of Zostera marina and Zostera noltei at a national level for the Republic of Ireland, using 19 environmental variables including both physical and anthropogenic. Using the Maximum Entropy method for developing the SDM, we estimated approximately 95 km2 of suitable habitat for Z. marina and 70 km2 for Z. noltei nationally with high accuracy metrics, including Area Under the Curve (AUC) values of 0.939 and 0.931, respectively for the two species. We found that bathymetry, maximum sea-surface temperature (SST) and minimum salinity were the most important environmental variables that explained the distribution of Z. marina and that high standard deviation of SST, mean SST and maximum salinity were the most important variables in explaining the distribution of Z. noltei. At a national level, we noted that it was primarily physical variables that determined the geographic distribution of seagrass, not anthropogenic variables. We unexpectedly modelled areas of high suitability in locations of anthropogenic disturbance (i.e., dredging, high pollution risk), although this may be due to the binary nature of SDMs capturing presence-absence and not the size and condition of the meadows, suggesting a need for future research to explore the finer scale impacts of anthropogenic activity. Subsequently, this research should foster discussion for researchers and practitioners working on sustainability projects related to Blue Carbon.

scholarly journals Characterizing the Spatial Patterns of Global Fertilizer Application and Manure Production

2010 ◽  
Vol 14 (2) ◽  
pp. 1-22 ◽  
Author(s):  
Philip Potter ◽  
Navin Ramankutty ◽  
Elena M. Bennett ◽  
Simon D. Donner
Keyword(s):  
Soil Nutrients ◽  
Spatial Patterns ◽  
National Level ◽  
Nutrient Content ◽  
Global Scale ◽  
Anthropogenic Activity ◽  
Spatially Explicit ◽  
Nutrient Runoff ◽  
Fertilizer Use ◽  
The Impact

Abstract Agriculture has had a tremendous impact on soil nutrients around the world. In some regions, soil nutrients are depleted because of low initial soil fertility or excessive nutrient removals through intense land use relative to nutrient additions. In other regions, application of chemical fertilizers and manure has led to an accumulation of nutrients and subsequent water quality problems. Understanding the current level and spatial patterns of fertilizer and manure inputs would greatly improve the ability to identify areas that might be sensitive to aquatic eutrophication or to nutrient depletion. The authors calculated spatially explicit fertilizer inputs of nitrogen (N) and phosphorus (P) by fusing national-level statistics on fertilizer use with global maps of harvested area for 175 crops. They also calculated spatially explicit manure inputs of N and P by fusing global maps of animal density and international data on manure production and nutrient content. Significantly higher application rates were found for both fertilizers and manures in the Northern Hemisphere, with maxima centered on areas with intensive cropland and high densities of livestock. Furthermore, nutrient use is confined to a few major hot spots, with approximately 10% of the treated land receiving over 50% of the use of both fertilizers and manures. The authors’ new spatial disaggregation of the rich International Fertilizer Industry Association (IFA) fertilizer-use dataset will provide new and interesting avenues to explore the impact of anthropogenic activity on ecosystems at the global scale and may also have implications for policies designed to improve soil quality or reduce nutrient runoff.

Looking Back, Looking Forward

2019 ◽  
Vol 6 (1) ◽  
pp. 99-125
Author(s):  
Carsten T. Vala
Keyword(s):  
National Level ◽  
Levels Of Analysis ◽  
Future Research ◽  
Market Theory ◽  
Christianity In China ◽  
Research Paradigms ◽  
Current State ◽  
Religious Ecology ◽  
Modes Of Interaction ◽  
The Impact

This essay sketches the current state of fieldwork-based studies of Christianity in China, focusing on monographs published from 2008 to 2018. It discusses strengths and gaps in research paradigms (religious economy or market theory; rational-actor bargaining; institutional theory; religious ecology), levels of analysis (macro- or national level; meso- or regional level; micro- or congregational level), and modes of interaction (resistance-domination; negotiation; cooperation) in an effort to point out areas rich for future research: the impact of theologies and denominations, the existence of regional models of Christianity, and the study of money, real estate, social service, syncretism, and religious decline.

Sediment microbes mediate the impact of nutrient loading on blue carbon sequestration by mixed seagrass meadows

2017 ◽  
Vol 599-600 ◽  
pp. 1479-1484 ◽  
Author(s):  
Songlin Liu ◽  
Zhijian Jiang ◽  
Jingping Zhang ◽  
Yunchao Wu ◽  
Xiaoping Huang ◽  
...  
Keyword(s):  
Carbon Sequestration ◽  
Nutrient Loading ◽  
Blue Carbon ◽  
Seagrass Meadows ◽  
The Impact ◽  
Sediment Microbes

Species Distribution Models (SDM) – A Strategic Tool for Predicting Suitable Habitats for Conserving the Target Species

2017 ◽  
pp. 427-440
Author(s):  
Balaguru Balakrishnan ◽  
Nagamurugan Nandakumar ◽  
Soosairaj Sebastin ◽  
Khaleel Ahamed Abdul Kareem
Keyword(s):  
Species Distribution ◽  
Spatial Data ◽  
Environmental Variables ◽  
Species Distribution Models ◽  
Species Distribution Model ◽  
Distribution Model ◽  
Suitable Habitat ◽  
Target Species ◽  
Distribution Models ◽  
Suitable Habitats

Conservation of the species in their native landscapes required understanding patterns of spatial distribution of species and their ecological connectivity through Species Distribution Models (SDM) by generation and integration of spatial data from different sources using Geographical Information System (GIS) tools. SDM is an ecological/spatial model which combines datasets and maps of occurrence of target species and their geographical and environmental variables by linking various algorithms together, that has been applied to either identify or predict the regions fulfilling the set conditions. This article is focused on comprehensive review of spatial data requirements, statistical algorithms and softwares used to generate the SDMs. This chapter also includes a case study predicting the suitable habitat distribution of Gnetum ula, an endemic and vulnerable plant species using maximum entropy (MaxEnt) species distribution model for species occurrences with inputs from environmental variables such as bioclimate and elevation.

Towards the definition of a standard protocol for the estimation of CO2 fixation by Posidonia oceanica meadows in the Mediterranean Sea (SeaForest Life Project)

2021 ◽  
Author(s):  
Alice Madonia ◽  
Keyword(s):  
Mediterranean Sea ◽  
National Park ◽  
Posidonia Oceanica ◽  
Blue Carbon ◽  
Standard Protocol ◽  
Life Project ◽  
Seagrass Meadows ◽  
Management Plans ◽  
The Mediterranean ◽  
The Impact

<p><em>Posidonia oceanica </em>(L.) Delile meadows are considered as the most productive ecosystems of the Mediterranean basin, sequestering and storing significant amount of blue carbon in their rich organic sediments and in their living and non-living biomass and these meadows are identified as a priority habitat type for conservation under the Habitat Directive (Dir 92/43/CEE). Despite the importance of the ecosystem services it provides, this habitat is disappearing at a rate four times as high as that of terrestrial forests, experiencing an alarming reduction due to the impacts of human activities in coastal areas, especially in the north-western side of the Mediterranean Sea. To face this issue, the SeaForest Life project foresees the quantification of carbon deposits and their rate of change related to habitat degradation specifically focusing on the effects caused by boat’s anchors and moorings. The project is realized in the Archipelago of la Maddalena National Park, the Asinara National Park and the Cilento, Vallo di Diano and Alburni National Park, for which ad hoc management plans of mooring are going to be adopted to reduce the impact of this practice on the seagrass meadows. As a first step, an updating of habitat 1120*’s cartography in each of the Marine Protected Areas engaged in the project have been fulfilled, using high definition multispectral imagery. Furthermore, monitoring of the areas with the highest attendance of the anchorages was carried out through the use of medium resolution satellite multi-spectral images using the infrared band, to identify and quantify the degradation and the state of conservation of the <em>P.oceanica</em> meadows present in the investigated areas. The updated cartography has been used to implement the InVEST Coastal Blue Carbon (CBC) which attempts to predict the sequestration, storage and, when degraded, the emissions of carbon by coastal ecosystems, so representing a useful tool for the analysis of the ecological and economic effects of the degradation processes (boats anchoring) and mitigation measures (anchor management plan and eco friendly moorings). Up to now, the InVEST-CBC model has estimated a CO<sub>2</sub> loss due to boats anchoring equal to 2300 tCO<sub>2</sub>/year, using stock and flow data in soil and biomass obtained from the results of the Life Blue Natura project and<em> P. oceanica</em> samples collected in the Cilento National Park. In the future, the results of the model will be improved with data collected in the other two project areas, also through the use of innovative instrumentation. Moreover, the scenarios with the implementation of the mooring management plans will be analyzed in the three study areas. The dataset obtained by the model is being used to define a standard protocol for the estimation of CO<sub>2</sub> fixation by <em>P. oceanica </em>meadows in the Mediterranean Sea. Such protocol will be fundamental for the realization of a national IT-based platform for a voluntary based carbon market to sell and acquire the carbon credits generated by the SeaForest Life project activities, to be extended to all the Mediterranean countries and to be scaled up to new protected marine areas.</p>

scholarly journals Board structure and corporate R&D intensity: evidence from Forbes global 2000

2020 ◽  
Vol 28 (3) ◽  
pp. 445-463 ◽  
Author(s):  
Aws AlHares ◽  
Ahmed A. Elamer ◽  
Ibrahem Alshbili ◽  
Maha W. Moustafa
Keyword(s):  
Risk Taking ◽  
National Level ◽  
Oecd Countries ◽  
Least Square ◽  
Future Research ◽  
Board Structure ◽  
Accounting Systems ◽  
Content Type ◽  
Anglo American ◽  
The Impact

Purpose This study aims to examine the impact of board structure on risk-taking measured by research and development (R&D) intensity in OECD countries. Design/methodology/approach The study uses a panel data of 200 companies on Forbes global 2000 over the 2010-2014 period. It uses the ordinary least square multiple regression analysis techniques to examine the hypotheses. Findings The results show that the frequency of board meetings and board size are significantly and negatively related to risk-taking measured by R&D intensity, with a greater significance among Anglo-American countries than among Continental European countries. The rationale for this is that the legal and accounting systems in the Anglo American countries have greater protection through greater emphasis on compliance and disclosure, and therefore, allowing for less risk-taking. Research limitations/implications Future research could investigate risk-taking using different arrangements, conducting face-to-face meetings with the firm’s directors and shareholders. Practical implications The results suggest that better-governed firms at the firm- or national-level have a high expectancy of less risk-taking. These results offer regulators a resilient incentive to pursue corporate governance (CG) and disclosure reforms officially and mutually with national-level governance. Thus, these results show the monitoring and legitimacy benefits of governance, resulting in less risk-taking. Finally, the findings offer investors the opportunity to build specific expectations about risk-taking behaviour in terms of R&D intensity in OECD countries. Originality/value This study extends and contributes to the extant CG literature, by offering new evidence on the effect of board structure on risk-taking. The findings will help policymakers in different countries in estimating the sufficiency of the available CG reforms to prevent management mishandle and disgrace.

scholarly journals Impact of IoT on social innovation in Japan

2019 ◽  
Vol 13 (3) ◽  
pp. 341-353 ◽  
Author(s):  
Temitayo Shenkoya ◽  
Cho Dae-Woo
Keyword(s):  
Social Innovation ◽  
Positive Impact ◽  
National Level ◽  
Geographical Location ◽  
Radical Change ◽  
Working Environment ◽  
Future Research ◽  
Content Type ◽  
Incremental Change ◽  
The Impact

Purpose Recently, the discussion on the impact of the Internet of Things (IoT) in theory and in practice is increasing. While some proponent envisage that the IoT will bring about positive radical change in the modern society, others argue that the IoT will introduce more disadvantages in the long run (mainly in terms of job losses) than advantages. The purpose of this paper is to arbitrate this controversy by examining the impact of IoT on the Japanese society. Design/methodology/approach While previous studies have largely been qualitative in nature, in this study, a quantitative approach was used. A multi-dimensional analysis was carried out and the statistical method known as the one-way analysis of variance was used to process the data obtained during this study. Findings The results show that indeed the IoT has a positive impact on the daily lives of the Japanese people, however the change it brings are mainly incremental change and not radical. Furthermore, rather than reducing job opportunities, it has created more opportunities and simplified operation processes. Research limitations/implications However, a limitation of this study is in its narrow scope. It is important to note that further studies on an international level or perhaps multi-national level is needed. Furthermore, there may be other underlining factors, such as culture, social, economic, geographical location, technology capacity, that may contribute to the impact of the IoT on daily life. Therefore, future research needs to verify if indeed this is the case. Originality/value This research successful arbitrates the argument about the impact of the IoT on the society by specifically showing that the advantages brought by the IoT out-ways its disadvantages. Furthermore, the uncertainty (fear of job losses) expressed by some experts was addressed in this study. The results obtained showed that the diffusion of the IoT has no correlation with job loss but rather supports improved working environment and creation of jobs.

scholarly journals Modelling the Effects of Climate Change on the Distribution of Endangered Cypripedium japonicum in China

Forests ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 429
Author(s):  
Yadong Xu ◽  
Yi Huang ◽  
Huiru Zhao ◽  
Meiling Yang ◽  
Yuqi Zhuang ◽  
...  
Keyword(s):  
Climate Change ◽  
Environmental Variables ◽  
Potential Distribution ◽  
Species Distribution Model ◽  
Characteristic Curve ◽  
Climatic Conditions ◽  
Distribution Model ◽  
Suitable Habitat ◽  
Mountainous Area ◽  
The Impact

Cypripedium japonicum is an endangered terrestrial orchid species with high ornamental and medicinal value. As global warming continues to intensify, the survival of C. japonicum will be further challenged. Understanding the impact of climate change on its potential distribution is of great significance to conserve this species. In this study, we established an ensemble species distribution model based on occurrence records of C. japonicum and 13 environmental variables to predict its potential distribution under current and future climatic conditions. The results show that the true skill statistic (TSS), Cohen’s kappa statistic (Kappa), and the area under the receiver operating characteristic curve (AUC) values of the ensemble model were 0.968, 0.906, and 0.995, respectively, providing more robust predictions. The key environmental variables affecting the distribution of C. japonicum were the precipitation in the warmest quarter (Bio18) and the mean temperature in the driest quarter (Bio9). Under future climatic conditions, the total suitable habitat of C. japonicum will increase slightly and tend to migrate northwestward, but the highly suitable areas will be severely lost. By 2070, the loss of its highly suitable habitat area will reach 57.69–72.24% under representative concentration pathway (RCP) 4.5 and 8.5 respectively, and the highly suitable habitats in Zhejiang and Anhui will almost disappear. It is noteworthy that the highly suitable habitat of C. japonicum has never crossed the Qinba mountainous area during the migration process of the suitable habitat to the northwest. Meanwhile, as the best-preserved area of highly suitable habitat for C. japonicum in the future, the Qinba mountainous area is of great significance to protect the wild germplasm resources of C. japonicum. In addition, we found that most of the changes predicted for 2070 will already be seen in 2050; the problem of climate change may be more urgent than it is believed.

Does collectivism necessarily negate the spirit of entrepreneurship?

2014 ◽  
Vol 20 (3) ◽  
pp. 278-296 ◽  
Author(s):  
Rachid Zeffane
Keyword(s):  
Middle East ◽  
United Arab Emirates ◽  
Explanatory Power ◽  
National Level ◽  
Future Research ◽  
Strong Impact ◽  
Gulf Region ◽  
Personal Traits ◽  
Content Type ◽  
The Impact

Purpose – The purpose of this paper is to explore the relationships between individualism/collectivism (as personal traits) and individuals’ potential to become an entrepreneur. Design/methodology/approach – The study draws on a sample of 503 students enrolled in business courses at a university in the United Arab Emirates (UAE). It focusses on the concept of Entrepreneurial Potential (EP) as a measure of “desirability and inclination” to start a business. The paper tests the hypothesis that the concepts of individualism and collectivism are not necessarily polar ends of the same continuum and examine their impacts on EP, controlling for age and gender as main demographic characteristics. Four main hypotheses are explored. Findings – Statistical analysis confirms the two main hypotheses. They reveal that: first, concomitant with the dominant collectivist values at national level, potential future entrepreneurs evolving in the Middle East/Gulf region endorse personal traits of a predominantly collectivist nature; second, contrary to popular assumptions individualism does not have a strong impact on youth EP. In the context of this study, the impact of collectivism on EP is most significant. The paper also found that gender had no significant impact on EP Research limitations/implications – The use of personality traits alone, as a basis for understanding predictors of EP may not be sufficient. A number of contextual variables (such the socio-cultural and economic context) may also have a strong influence. Unfortunately, it is not possible to test for these effects with the data available in this study. Future research may consider these. Practical implications – Despite its limited scope (limited sample-size and target population), the findings of this study are useful to both practitioners and policy makers. Management practitioners interested in entrepreneurial behaviors need to take stock of the fact that future entrepreneurs can (and perhaps should be able to) blend their competitive entrepreneurial drive with the spirit of collectivism. This is particularly relevant in selection processes using personality tests for the purpose of extracting the most likely candidates for entrepreneurial ventures involving youth. Originality/value – The findings of this study do not support the general assumption that individualism and entrepreneurship ties necessarily go hand in hand. They clearly indicate that collectivism has more explanatory power in this regard, though this may be contextual. These findings may be explained by the context of the study (UAE/Middle East). The overwhelming majority of the respondents are from the Middle East and gulf region, where collectivist aspirations are predominant. Yet, the economies of countries in those regions are fuelled by an increasing number of advanced and quite daring entrepreneurial projects, as exemplified by the modernist business ventures in Dubai, Qatar, and Abu Dhabi.

scholarly journals Ensemble Models Predict Invasive Bee Habitat Suitability Will Expand under Future Climate Scenarios in Hawai’i

Insects ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 443
Author(s):  
Jesse A. Tabor ◽  
Jonathan B. Koch
Keyword(s):  
Climate Change ◽  
Invasive Species ◽  
Habitat Suitability ◽  
Future Climate ◽  
Disease Spread ◽  
Suitable Habitat ◽  
Climate Scenarios ◽  
Distribution Models ◽  
Invasive Range ◽  
The Impact

Climate change is predicted to increase the risk of biological invasions by increasing the availability of climatically suitable regions for invasive species. Endemic species on oceanic islands are particularly sensitive to the impact of invasive species due to increased competition for shared resources and disease spread. In our study, we used an ensemble of species distribution models (SDM) to predict habitat suitability for invasive bees under current and future climate scenarios in Hawai’i. SDMs projected on the invasive range were better predicted by georeferenced records from the invasive range in comparison to invasive SDMs predicted by records from the native range. SDMs estimated that climatically suitable regions for the eight invasive bees explored in this study will expand by ~934.8% (±3.4% SE). Hotspots for the invasive bees are predicted to expand toward higher elevation regions, although suitable habitat is expected to only progress up to 500 m in elevation in 2070. Given our results, it is unlikely that invasive bees will interact directly with endemic bees found at >500 m in elevation in the future. Management and conservation plans for endemic bees may be improved by understanding how climate change may exacerbate negative interactions between invasive and endemic bee species.

Sign in / Sign up

Export Citation Format

Share Document