Causality of Biodiversity Loss: Climate, Vegetation, and Urbanization in China and America

Essential for directing conservation resources is to identify threatened vertebrate regions and diagnose the underlying causalities. Through relating vertebrates and threatened vertebrates to the rainfall-runoff chain, to the food chain, and to the human impact of urbanization, the following relatio...

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Main Authors: Danlu Cai, Klaus Fraedrich, Yanning Guan, Shan Guo, Chunyan Zhang, Leila M.V. Carvalho, Xiuhua Zhu
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/20/4499
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spelling doaj-308417c89b224751b61e0870734a31c62020-11-25T01:25:27ZengMDPI AGSensors1424-82202019-10-011920449910.3390/s19204499s19204499Causality of Biodiversity Loss: Climate, Vegetation, and Urbanization in China and AmericaDanlu Cai0Klaus Fraedrich1Yanning Guan2Shan Guo3Chunyan Zhang4Leila M.V. Carvalho5Xiuhua Zhu6Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaMax-Planck-Institute for Meteorology, 20146 Hamburg, GermanyInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaDepartment of Geography, Earth Research Institute, University of California Santa Barbara, Santa Barbara, CA 93106, USACenter for Earth System and Sustainability, Hamburg University, 20146 Hamburg, GermanyEssential for directing conservation resources is to identify threatened vertebrate regions and diagnose the underlying causalities. Through relating vertebrates and threatened vertebrates to the rainfall-runoff chain, to the food chain, and to the human impact of urbanization, the following relationships are noticed: (i) The Earth’s vertebrates generally show increasing abundance and decreasing threatened species indicator (threatened species number/species abundance) for a higher Normalized Difference Vegetation Index (NDVI) or larger city-size. (ii) Regional vertebrates reveal a notable ‘U-shape profile’ (‘step-like jump’) of threatened species indicator occurs in the moderate (high) NDVI regions in China (America). (iii) Positive/green city states emerge in China and are characterized by the lowest threatened species indicators in areas of low to moderate greenness, where the greenness trend of change during the last 30 years is about three times higher in the urbanized areas than over land. (iv) Negative/brown city states emerge in America revealing high threatened species indicators for greenness exceeding NDVI > 0.2, where similar greenness trends are of both urbanized and land areas. The occurrence of green and brown city states suggests a biodiversity change pattern characterized by the threatened species indicator declining from city regimes with high to those with low indicator values for increasing ratio of the city-over-land NDVI trends.https://www.mdpi.com/1424-8220/19/20/4499threatened vertebratesrainfall-runoff chainvegetation greennessnight-light citiesgreen and brown cities
collection DOAJ
language English
format Article
sources DOAJ
author Danlu Cai
Klaus Fraedrich
Yanning Guan
Shan Guo
Chunyan Zhang
Leila M.V. Carvalho
Xiuhua Zhu
spellingShingle Danlu Cai
Klaus Fraedrich
Yanning Guan
Shan Guo
Chunyan Zhang
Leila M.V. Carvalho
Xiuhua Zhu
Causality of Biodiversity Loss: Climate, Vegetation, and Urbanization in China and America
Sensors
threatened vertebrates
rainfall-runoff chain
vegetation greenness
night-light cities
green and brown cities
author_facet Danlu Cai
Klaus Fraedrich
Yanning Guan
Shan Guo
Chunyan Zhang
Leila M.V. Carvalho
Xiuhua Zhu
author_sort Danlu Cai
title Causality of Biodiversity Loss: Climate, Vegetation, and Urbanization in China and America
title_short Causality of Biodiversity Loss: Climate, Vegetation, and Urbanization in China and America
title_full Causality of Biodiversity Loss: Climate, Vegetation, and Urbanization in China and America
title_fullStr Causality of Biodiversity Loss: Climate, Vegetation, and Urbanization in China and America
title_full_unstemmed Causality of Biodiversity Loss: Climate, Vegetation, and Urbanization in China and America
title_sort causality of biodiversity loss: climate, vegetation, and urbanization in china and america
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2019-10-01
description Essential for directing conservation resources is to identify threatened vertebrate regions and diagnose the underlying causalities. Through relating vertebrates and threatened vertebrates to the rainfall-runoff chain, to the food chain, and to the human impact of urbanization, the following relationships are noticed: (i) The Earth’s vertebrates generally show increasing abundance and decreasing threatened species indicator (threatened species number/species abundance) for a higher Normalized Difference Vegetation Index (NDVI) or larger city-size. (ii) Regional vertebrates reveal a notable ‘U-shape profile’ (‘step-like jump’) of threatened species indicator occurs in the moderate (high) NDVI regions in China (America). (iii) Positive/green city states emerge in China and are characterized by the lowest threatened species indicators in areas of low to moderate greenness, where the greenness trend of change during the last 30 years is about three times higher in the urbanized areas than over land. (iv) Negative/brown city states emerge in America revealing high threatened species indicators for greenness exceeding NDVI > 0.2, where similar greenness trends are of both urbanized and land areas. The occurrence of green and brown city states suggests a biodiversity change pattern characterized by the threatened species indicator declining from city regimes with high to those with low indicator values for increasing ratio of the city-over-land NDVI trends.
topic threatened vertebrates
rainfall-runoff chain
vegetation greenness
night-light cities
green and brown cities
url https://www.mdpi.com/1424-8220/19/20/4499
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