scholarly journals Use of macroinvertebrate assemblage to assess the ecological integrity of Nyando Wetlands, Kenya

2013 ◽  
Vol 5 (7) ◽  
pp. 152-164 ◽  
Author(s):  
Oduor Orwa
Keyword(s):  
Ecological Integrity ◽  
Macroinvertebrate Assemblage

scholarly journals Low forest-loss thresholds threaten Amazonian fish and macroinvertebrate assemblage integrity

2021 ◽  
Vol 127 ◽  
pp. 107773
Author(s):  
Renato T. Martins ◽  
Janaina Brito ◽  
Karina Dias-Silva ◽  
Cecília G. Leal ◽  
Rafael P. Leitão ◽  
...  
Keyword(s):  
Forest Loss ◽  
Amazonian Fish ◽  
Macroinvertebrate Assemblage

scholarly journals The Use of Citizen Science to Achieve Multivariate Management Goals on Public Lands

Diversity ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 293
Author(s):  
Sara Souther ◽  
Vincent Randall ◽  
Nanebah Lyndon
Keyword(s):  
Citizen Science ◽  
Land Management ◽  
Ecological Integrity ◽  
Public Land ◽  
Suitable Habitat ◽  
Science Data ◽  
Public Land Management ◽  
Federal Land ◽  
Botanical Research ◽  
Federal Land Management

Federal land management agencies in the US are tasked with maintaining the ecological integrity of over 2 million km2 of land for myriad public uses. Citizen science, operating at the nexus of science, education, and outreach, offers unique benefits to address socio-ecological questions and problems, and thus may offer novel opportunities to support the complex mission of public land managers. Here, we use a case study of an iNaturalist program, the Tribal Nations Botanical Research Collaborative (TNBRC), to examine the use of citizen science programs in public land management. The TNBRC collected 2030 observations of 34 plant species across the project area, while offering learning opportunities for participants. Using occurrence data, we examined observational trends through time and identified five species with 50 or fewer digital observations to investigate as species of possible conservation concern. We compared predictive outcomes of habitat suitability models built using citizen science data and Forest Inventory and Analysis (FIA) data. Models exhibited high agreement, identifying the same underlying predictors of species occurrence and, 95% of the time, identifying the same pixels as suitable habitat. Actions such as staff training on data use and interpretation could enhance integration of citizen science in Federal land management.

scholarly journals Sustainable AI: AI for sustainability and the sustainability of AI

AI and Ethics ◽  
2021 ◽  
Author(s):  
Aimee van Wynsberghe
Keyword(s):  
Sustainable Development ◽  
Sustainable Development Goals ◽  
Ecological Integrity ◽  
Idea Generation ◽  
Computing Power ◽  
The Sustainable Development ◽  
Sociotechnical System ◽  
Societal Values ◽  
Development Goals ◽  
Definition Of

AbstractWhile there is a growing effort towards AI for Sustainability (e.g. towards the sustainable development goals) it is time to move beyond that and to address the sustainability of developing and using AI systems. In this paper I propose a definition of Sustainable AI; Sustainable AI is a movement to foster change in the entire lifecycle of AI products (i.e. idea generation, training, re-tuning, implementation, governance) towards greater ecological integrity and social justice. As such, Sustainable AI is focused on more than AI applications; rather, it addresses the whole sociotechnical system of AI. I have suggested here that Sustainable AI is not about how to sustain the development of AI per say but it is about how to develop AI that is compatible with sustaining environmental resources for current and future generations; economic models for societies; and societal values that are fundamental to a given society. I have articulated that the phrase Sustainable AI be understood as having two branches; AI for sustainability and sustainability of AI (e.g. reduction of carbon emissions and computing power). I propose that Sustainable AI take sustainable development at the core of its definition with three accompanying tensions between AI innovation and equitable resource distribution; inter and intra-generational justice; and, between environment, society, and economy. This paper is not meant to engage with each of the three pillars of sustainability (i.e. social, economic, environment), and as such the pillars of sustainable AI. Rather, this paper is meant to inspire the reader, the policy maker, the AI ethicist, the AI developer to connect with the environment—to remember that there are environmental costs to AI. Further, to direct funding towards sustainable methods of AI.

scholarly journals Amazonian freshwater mussel density: A useful indicator of macroinvertebrate assemblage and habitat quality

2021 ◽  
Vol 122 ◽  
pp. 107300
Author(s):  
Diego Simeone ◽  
Claudia Helena Tagliaro ◽  
Colin Robert Beasley
Keyword(s):  
Habitat Quality ◽  
Freshwater Mussel ◽  
Macroinvertebrate Assemblage ◽  
Mussel Density

A correlation between chytrid abundance and ecological integrity in New Jersey pine barrens waters

2010 ◽  
Vol 3 (4) ◽  
pp. 295-301 ◽  
Author(s):  
Karena DiLeo ◽  
Kimberly Donat ◽  
Amelia Min-Venditti ◽  
John Dighton
Keyword(s):  
New Jersey ◽  
Ecological Integrity ◽  
Pine Barrens

Ecological integrity and the management of ecosystems

1995 ◽  
Vol 12 (3) ◽  
pp. 249-250
Author(s):  
Sven Erik Jørgensen
Keyword(s):  
Ecological Integrity

Spatial and temporal variations of fire regimes in the Canadian Rocky Mountains and Foothills of southern Alberta

2016 ◽  
Vol 25 (11) ◽  
pp. 1117 ◽  
Author(s):  
Marie-Pierre Rogeau ◽  
Mike D. Flannigan ◽  
Brad C. Hawkes ◽  
Marc-André Parisien ◽  
Rick Arthur
Keyword(s):  
Rocky Mountains ◽  
Fire History ◽  
Fire Severity ◽  
Ecological Integrity ◽  
Fire Regimes ◽  
Temporal Variations ◽  
Fire Season ◽  
Canadian Rocky Mountains ◽  
Southern Alberta ◽  
Fire Exclusion

Like many fire-adapted ecosystems, decades of fire exclusion policy in the Rocky Mountains and Foothills natural regions of southern Alberta, Canada are raising concern over the loss of ecological integrity. Departure from historical conditions is evaluated using median fire return intervals (MdFRI) based on fire history data from the Subalpine (SUB), Montane (MT) and Upper Foothills (UF) natural subregions. Fire severity, seasonality and cause are also documented. Pre-1948 MdFRI ranged between 65 and 85 years in SUB, between 26 and 35 years in MT and was 39 years in UF. The fire exclusion era resulted in a critical departure of 197–223% in MT (MdFRI = 84–104 years). The departure in UF was 170% (MdFRI = 104 years), while regions of continuous fuels in SUB were departed by 129% (MdFRI = 149 years). The most rugged region of SUB is within its historical range of variation with a departure of 42% (MdFRI = 121 years). More mixed-severity burning took place in MT and UF. SUB and MT are in a lightning shadow pointing to a predominance of anthropogenic burning. A summer fire season prevails in SUB, but occurs from spring to fall elsewhere. These findings will assist in developing fire and forest management policies and adaptive strategies in the future.

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