Dave FehlingHouston area Realtors sold 76,449 homes in 2016, including 6,628 in December.Last year, Realtors sold 76,449 single-family homes in Greater Houston – almost 1,000 more than in 2014, the previous record year, and up 3 percent from 2015.Cindy Hamann, chairman of the Houston Association of Realtors, said many were surprised when the market seemed to stabilize in the first quarter after a below-average 2015.“About April it started picking up and then after the election things started happening,” she said. “I think the consumer was tired of the doom and gloom and tired of the election and everybody got back to business.”Only upper-end homes seemed to be affected by the oil downturn, Hamann said.“Our luxury properties took a dive during the latter part of the summer,” she said. “That’s when oil companies and (other) companies were starting to lay off.”But by the end of the year, the upper-end market had recovered.In December, sales of homes above $500,000 increased 23 percent compared to a year earlier.Hamann expects sales of all homes to increase even more in 2017. To embed this piece of audio in your site, please use this code: 00:00 /01:04 Listen Share X
Citation: Long term satellite data offers insights into degree of global sensitivity to climate change (2016, February 18) retrieved 18 August 2019 from https://phys.org/news/2016-02-term-satellite-insights-degree-global.html More information: Alistair W. R. Seddon et al. Sensitivity of global terrestrial ecosystems to climate variability, Nature (2016). DOI: 10.1038/nature16986AbstractThe identification of properties that contribute to the persistence and resilience of ecosystems despite climate change constitutes a research priority of global relevance1. Here we present a novel, empirical approach to assess the relative sensitivity of ecosystems to climate variability, one property of resilience that builds on theoretical modelling work recognizing that systems closer to critical thresholds respond more sensitively to external perturbations2. We develop a new metric, the vegetation sensitivity index, that identifies areas sensitive to climate variability over the past 14 years. The metric uses time series data derived from the moderate-resolution imaging spectroradiometer (MODIS) enhanced vegetation index3, and three climatic variables that drive vegetation productivity4 (air temperature, water availability and cloud cover). Underlying the analysis is an autoregressive modelling approach used to identify climate drivers of vegetation productivity on monthly timescales, in addition to regions with memory effects and reduced response rates to external forcing5. We find ecologically sensitive regions with amplified responses to climate variability in the Arctic tundra, parts of the boreal forest belt, the tropical rainforest, alpine regions worldwide, steppe and prairie regions of central Asia and North and South America, the Caatinga deciduous forest in eastern South America, and eastern areas of Australia. Our study provides a quantitative methodology for assessing the relative response rate of ecosystems—be they natural or with a strong anthropogenic signature—to environmental variability, which is the first step towards addressing why some regions appear to be more sensitive than others, and what impact this has on the resilience of ecosystem service provision and human well-being.Press release (Phys.org)—A team of researchers from several institutions in Norway and the U.K. has isolated the parts of our planet that appear to be the most sensitive to climate change using several years of satellite data. In their paper published in the journal Nature, the team describes their use of data covering the past 14 years and what their study revealed. Alfredo Huete with University of Technology Sydney offers a News & Views piece on the work done by the team and outlines the importance of such studies. Most climate scientists know that as the planet warms, some parts of it will change more than others—some will become drier, some wetter, and some will change so much they will become entirely new ecosystems. They also know that some parts of the world are more sensitive to a warming planet than others—the upper altitudes of big mountain ranges, for example, or the Arctic tundra are likely to be more sensitive than large desert areas. But, as Heute notes, what has been lacking is a way to define just how sensitive a place or ecosystem is, and then defining a means of applying an indicator of sorts to the various parts of the planet to allow for comparison. That is just what this new team has done, by poring over satellite data that revealed changes on the surface, such as more or less green, more or less rainfall, etc., they were able to chart which parts of the planet were showing how sensitive they were to the changes that have already occurred—they called their indicator ‘the vegetation sensitivity index’ and used it to create maps that showed the degree of sensitivity in various areas across the globe, which also of course, showed which parts are the most sensitive, e.g. parts of the boreal forest, alpine regions, prairies and steppe, the Arctic tundra, parts of central Asia and both North and South America; also the Caatinga and some of parts of Eastern Australia.Identifying the degree of sensitivity of various parts of the planet, Huete notes, is necessary for making plans to avoid irreversible damage to vital ecosystems and hopefully sustaining those that are most critical to our own survival. Global snapshot of the Vegetation Sensitivity Index (VSI), a new indicator of vegetation sensitivity to climate variability using satellite data between 2000-2013 at 5km resolution (Seddon et al. 2016). Areas in green (red) have comparatively lower (higher) vegetation sensitivity. Grey areas are barren land or ice covered. Inland water bodies as identified by the Global Lakes and Wetlands Database (Lehner & Döll, 2004), are mapped in blue. Credit: Seddon et al Explore further © 2016 Phys.org Journal information: Nature Tundra study uncovers impact of climate warming in the Arctic This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.
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