Soil and vegetation types are predisposition factors controlling greenness changes: A shift of paradigm in greening and browning modelling?

IF 3.8 Q2 ENVIRONMENTAL SCIENCES
Luís Flávio Pereira , Elpídio Inácio Fernandes-Filho , Lucas Carvalho Gomes , Daniel Meira Arruda , Guilherme Castro Oliveira , Carlos Ernesto Gonçalves Reynald Schaefer , José João Lelis Leal de Souza , Márcio Rocha Francelino
{"title":"Soil and vegetation types are predisposition factors controlling greenness changes: A shift of paradigm in greening and browning modelling?","authors":"Luís Flávio Pereira ,&nbsp;Elpídio Inácio Fernandes-Filho ,&nbsp;Lucas Carvalho Gomes ,&nbsp;Daniel Meira Arruda ,&nbsp;Guilherme Castro Oliveira ,&nbsp;Carlos Ernesto Gonçalves Reynald Schaefer ,&nbsp;José João Lelis Leal de Souza ,&nbsp;Márcio Rocha Francelino","doi":"10.1016/j.rsase.2024.101366","DOIUrl":null,"url":null,"abstract":"<div><div>Increases (greening) and losses (browning) of vegetation greenness related to climatic and anthropic changes are processes well documented in the literature. However, the control exerted by predisposition factors on the response of vegetation to these changes has been little studied, and appears to be especially important in anthropized regions. The present study aimed to map greening and browning processes, as well as to characterize and analyze their distribution in heavily anthropized regions regarding two main predisposition factors: soil and vegetation types. The Brazilian Semiarid region was used as a model area, using two novel approaches: a readily reproducible cloud computing approach to map consistent greening and browning processes, and a disaggregation approach in homogeneous units of vegetation, soil and land use types. The results showed that stable greenness dominates (66.8%), but browning is more frequent (29.1%) and intense than greening (4.1%), and may be related to desertification processes in native and anthropized areas. The distribution of greening and browning processes is zonal and heterogeneous. Environmental predisposition factors, mainly the water supply capacity, regionally control the distribution of greening and browning zones. Human-environment interplays locally regulate the intensity and distribution of the processes. We defend the need of a paradigm shift in greening and browning modelling. Further studies should consider the simultaneous and balanced use of predictors related to both predisposition and changes. The need for advances in the interpretability of these models is also evident, given that current approaches fail to elucidate the regulating mechanisms of greening and browning processes.</div></div>","PeriodicalId":53227,"journal":{"name":"Remote Sensing Applications-Society and Environment","volume":"36 ","pages":"Article 101366"},"PeriodicalIF":3.8000,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing Applications-Society and Environment","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352938524002301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Increases (greening) and losses (browning) of vegetation greenness related to climatic and anthropic changes are processes well documented in the literature. However, the control exerted by predisposition factors on the response of vegetation to these changes has been little studied, and appears to be especially important in anthropized regions. The present study aimed to map greening and browning processes, as well as to characterize and analyze their distribution in heavily anthropized regions regarding two main predisposition factors: soil and vegetation types. The Brazilian Semiarid region was used as a model area, using two novel approaches: a readily reproducible cloud computing approach to map consistent greening and browning processes, and a disaggregation approach in homogeneous units of vegetation, soil and land use types. The results showed that stable greenness dominates (66.8%), but browning is more frequent (29.1%) and intense than greening (4.1%), and may be related to desertification processes in native and anthropized areas. The distribution of greening and browning processes is zonal and heterogeneous. Environmental predisposition factors, mainly the water supply capacity, regionally control the distribution of greening and browning zones. Human-environment interplays locally regulate the intensity and distribution of the processes. We defend the need of a paradigm shift in greening and browning modelling. Further studies should consider the simultaneous and balanced use of predictors related to both predisposition and changes. The need for advances in the interpretability of these models is also evident, given that current approaches fail to elucidate the regulating mechanisms of greening and browning processes.
土壤和植被类型是控制绿度变化的先决因素:绿化和褐化建模模式的转变?
与气候和人类活动变化有关的植被绿度增加(变绿)和减少(变褐)是文献中记载得很清楚的过程。然而,人们很少研究先天因素对植被对这些变化的反应所起的控制作用,这种作用在人类活动地区似乎尤为重要。本研究旨在绘制绿化和褐化过程图,并根据土壤和植被类型这两个主要影响因素,分析它们在人类活动严重地区的分布特征。研究以巴西半干旱地区为示范区,采用了两种新方法:一种是易于复制的云计算方法,用于绘制一致的绿化和褐化过程图;另一种是以植被、土壤和土地利用类型为同质单位的分解方法。结果表明,稳定绿化占主导地位(66.8%),但褐化比绿化(4.1%)更频繁(29.1%)、更强烈,可能与原生和人为地区的荒漠化过程有关。绿化和褐化过程的分布具有地带性和异质性。环境预设因素(主要是供水能力)在区域上控制着绿化和褐变区的分布。人类与环境之间的相互作用会在局部地区调节绿化和褐化过程的强度和分布。我们认为有必要转变绿化和褐化建模的模式。进一步的研究应考虑同时均衡使用与易感性和变化相关的预测因子。鉴于目前的方法未能阐明绿化和褐变过程的调节机制,因此显然需要提高这些模型的可解释性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
8.00
自引率
8.50%
发文量
204
审稿时长
65 days
期刊介绍: The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信