Maintaining and Improving Biodiversity in Urban Centers: Landscape Spatial Design in Mexico City and New York City

Author(s):  
Luis Zambrano ◽  
Steven N Handel ◽  
Tania Fernandez ◽  
Isabel Brostella

Abstract ContextLarge cities contain different sizes and distributions of green spaces in a sea of buildings and roads. This urban landscape establishes the habitat for different species that persist in cities.ObjectivesHow does this “archipelago” of habitat space function? How does the arrangement of green spaces affect plant and animal species' biodiversity and movement through this urban pattern?MethodsBy using Patch Analyst Metrics, we propose a novel method to analyze and improve the current spatial arrangement of green spaces using Mexico City and New York City, long-established urban areas.ResultsThe two cities differ in the number, size, and spatial distribution of green spaces. Frequency analysis suggests that Mexico City has a high number of large green spaces for native species conservation; but most of them are in one vast cluster of green areas at the south. In New York City large spaces are distributed along the whole territory, comprising most potential habitats, but it has much more small areas. This spatial analysis shows particular areas in which both cities have the potential to add connectivity among existing green spaces for dispersal of many taxa of plants and animals. ConclusionsMuch data is available on the potential dispersion through cities, but a better framework for understanding the existing distribution is needed for future landscape decisions. Results suggest ways that new urban areas can better increase plant and animal movement patterns.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mario Moisés Alvarez ◽  
Everardo González-González ◽  
Grissel Trujillo-de Santiago

AbstractCOVID-19, the first pandemic of this decade and the second in less than 15 years, has harshly taught us that viral diseases do not recognize boundaries; however, they truly do discriminate between aggressive and mediocre containment responses. We present a simple epidemiological model that is amenable to implementation in Excel spreadsheets and sufficiently accurate to reproduce observed data on the evolution of the COVID-19 pandemics in different regions [i.e., New York City (NYC), South Korea, Mexico City]. We show that the model can be adapted to closely follow the evolution of COVID-19 in any large city by simply adjusting parameters related to demographic conditions and aggressiveness of the response from a society/government to epidemics. Moreover, we show that this simple epidemiological simulator can be used to assess the efficacy of the response of a government/society to an outbreak. The simplicity and accuracy of this model will greatly contribute to democratizing the availability of knowledge in societies regarding the extent of an epidemic event and the efficacy of a governmental response.


2013 ◽  
Vol 28 (6) ◽  
pp. 527-545 ◽  
Author(s):  
Sunil Bhaskaran ◽  
Eric Nez ◽  
Karolyn Jimenez ◽  
Sanjiv K. Bhatia

2020 ◽  
Vol 237 ◽  
pp. 03020
Author(s):  
Adrian Diaz Fortich ◽  
Victor Dominguez ◽  
Yonghua Wu ◽  
Barry Gross ◽  
Fred Moshary

In order to better understand the behavior of particulate pollution and atmospheric dynamics in New York City, it is of great importance to analyze the spatial distribution of aerosols. A scanning lidar system allows for horizontal range-resolved observations of aerosol backscatter with high space and time resolution. A challenge to analyzing the lidar returns is to disentangle extinction over the range of the observations to retrieve the backscatter coefficient with distance. This work presents horizontal measurements taken with a scanning eye-safe Micro Pulse Lidar in New York City. The measurements are analyzed using the Slope Method to get an estimate of the range-resolved aerosol backscatter coefficient. The results are presented as backscatter coefficient maps that display the aerosol spatial distribution within the field of view of the scanning pattern deployed. These observations clearly resolve aerosol dynamics and emission sources within the urban areas.


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