Appraisal of the potential habitat distribution of Madhuca longifolia manifested remarkable resilience under various socio-climatic scenarios pan-India
Climatic change and various socioeconomic factors have major impact on any ecosystem and functions, notably on species composition and distribution. Madhuca longifolia is a socio-economically important tree native to Indian subcontinent. In the present study, impact of climate change on the species...
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description | Climatic change and various socioeconomic factors have major impact on any ecosystem and functions, notably on species composition and distribution.
Madhuca longifolia
is a socio-economically important tree native to Indian subcontinent. In the present study, impact of climate change on the species was estimated through its potential distribution pattern under current and future climatic scenarios applying four Representative Concentration Pathways (RCPs) i.e. 2.6, 4.5 6.0, 8.5 for the year of 2041–2060 in India using Maximum Entropy (MaxEnt) modelling. 10 bioclimatic variables chosen out of 19 variables through multicollinearity test were used to simulate and determine the effects of climate change on the species distribution. For the current scenario, mean diurnal change (Bio_2) exhibited highest gain, whereas rainfall of warmest quarter (Bio_18) and annual rainfall (Bio_12) displayed the most significant gain under future climatic conditions. This study revealed that the species is mostly concentrated on the eastern part of the India with the state of Jharkhand having maximum highest suitability zones. However, the species demonstrated southerly shifting tendencies under all four RCP future scenarios. According to the projected distribution, there was a 4.5% increase under RCP 2.6 and a 7.37, 7.78, and 3.54% decline under RCP 4.5, 6.0, and 8.5, respectively. If there is no anthropogenic impact and unforeseen evolutionary shift happens within its native distribution, it is anticipated that the species would demonstrate strong resistance to changes in climatic circumstances. This research will be immensely beneficial in strategizing for the long-term conservation and protection of this crucial non-timber forest product (NTFP) species, hence improving the socioeconomic standing of local inhabitants. |
doi_str_mv | 10.1007/s40808-023-01913-0 |
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Madhuca longifolia
is a socio-economically important tree native to Indian subcontinent. In the present study, impact of climate change on the species was estimated through its potential distribution pattern under current and future climatic scenarios applying four Representative Concentration Pathways (RCPs) i.e. 2.6, 4.5 6.0, 8.5 for the year of 2041–2060 in India using Maximum Entropy (MaxEnt) modelling. 10 bioclimatic variables chosen out of 19 variables through multicollinearity test were used to simulate and determine the effects of climate change on the species distribution. For the current scenario, mean diurnal change (Bio_2) exhibited highest gain, whereas rainfall of warmest quarter (Bio_18) and annual rainfall (Bio_12) displayed the most significant gain under future climatic conditions. This study revealed that the species is mostly concentrated on the eastern part of the India with the state of Jharkhand having maximum highest suitability zones. However, the species demonstrated southerly shifting tendencies under all four RCP future scenarios. According to the projected distribution, there was a 4.5% increase under RCP 2.6 and a 7.37, 7.78, and 3.54% decline under RCP 4.5, 6.0, and 8.5, respectively. If there is no anthropogenic impact and unforeseen evolutionary shift happens within its native distribution, it is anticipated that the species would demonstrate strong resistance to changes in climatic circumstances. This research will be immensely beneficial in strategizing for the long-term conservation and protection of this crucial non-timber forest product (NTFP) species, hence improving the socioeconomic standing of local inhabitants.</description><identifier>ISSN: 2363-6203</identifier><identifier>EISSN: 2363-6211</identifier><identifier>DOI: 10.1007/s40808-023-01913-0</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Annual rainfall ; Anthropogenic factors ; Bioclimatology ; Chemistry and Earth Sciences ; Climate change ; Climate effects ; Climatic conditions ; Community composition ; Computer Science ; Distribution ; Distribution patterns ; Earth and Environmental Science ; Earth Sciences ; Earth System Sciences ; Economic importance ; Ecosystems ; Environment ; Environmental impact ; Forest products ; Geographical distribution ; Human influences ; Madhuca longifolia ; Math. Appl. in Environmental Science ; Mathematical Applications in the Physical Sciences ; Maximum entropy ; Non-timber forest resources ; Original Article ; Physics ; Precipitation ; Social factors ; Socioeconomic factors ; Socioeconomics ; Species composition ; Statistics for Engineering</subject><ispartof>Modeling earth systems and environment, 2024-04, Vol.10 (2), p.2435-2446</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c270t-575322818c22d1d3c7c1a7121d00f50a71331fe49b4e344cf187422fe948e7643</cites><orcidid>0000-0002-4330-697X ; 0000-0001-7844-2149 ; 0000-0002-6291-8066</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s40808-023-01913-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s40808-023-01913-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids></links><search><creatorcontrib>Pradhan, Minakshi</creatorcontrib><creatorcontrib>Malakar, Ayushman</creatorcontrib><creatorcontrib>Sinha, Animesh</creatorcontrib><title>Appraisal of the potential habitat distribution of Madhuca longifolia manifested remarkable resilience under various socio-climatic scenarios pan-India</title><title>Modeling earth systems and environment</title><addtitle>Model. Earth Syst. Environ</addtitle><description>Climatic change and various socioeconomic factors have major impact on any ecosystem and functions, notably on species composition and distribution.
Madhuca longifolia
is a socio-economically important tree native to Indian subcontinent. In the present study, impact of climate change on the species was estimated through its potential distribution pattern under current and future climatic scenarios applying four Representative Concentration Pathways (RCPs) i.e. 2.6, 4.5 6.0, 8.5 for the year of 2041–2060 in India using Maximum Entropy (MaxEnt) modelling. 10 bioclimatic variables chosen out of 19 variables through multicollinearity test were used to simulate and determine the effects of climate change on the species distribution. For the current scenario, mean diurnal change (Bio_2) exhibited highest gain, whereas rainfall of warmest quarter (Bio_18) and annual rainfall (Bio_12) displayed the most significant gain under future climatic conditions. This study revealed that the species is mostly concentrated on the eastern part of the India with the state of Jharkhand having maximum highest suitability zones. However, the species demonstrated southerly shifting tendencies under all four RCP future scenarios. According to the projected distribution, there was a 4.5% increase under RCP 2.6 and a 7.37, 7.78, and 3.54% decline under RCP 4.5, 6.0, and 8.5, respectively. If there is no anthropogenic impact and unforeseen evolutionary shift happens within its native distribution, it is anticipated that the species would demonstrate strong resistance to changes in climatic circumstances. This research will be immensely beneficial in strategizing for the long-term conservation and protection of this crucial non-timber forest product (NTFP) species, hence improving the socioeconomic standing of local inhabitants.</description><subject>Annual rainfall</subject><subject>Anthropogenic factors</subject><subject>Bioclimatology</subject><subject>Chemistry and Earth Sciences</subject><subject>Climate change</subject><subject>Climate effects</subject><subject>Climatic conditions</subject><subject>Community composition</subject><subject>Computer Science</subject><subject>Distribution</subject><subject>Distribution patterns</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Earth System Sciences</subject><subject>Economic importance</subject><subject>Ecosystems</subject><subject>Environment</subject><subject>Environmental impact</subject><subject>Forest products</subject><subject>Geographical distribution</subject><subject>Human influences</subject><subject>Madhuca longifolia</subject><subject>Math. Appl. in Environmental Science</subject><subject>Mathematical Applications in the Physical Sciences</subject><subject>Maximum entropy</subject><subject>Non-timber forest resources</subject><subject>Original Article</subject><subject>Physics</subject><subject>Precipitation</subject><subject>Social factors</subject><subject>Socioeconomic factors</subject><subject>Socioeconomics</subject><subject>Species composition</subject><subject>Statistics for Engineering</subject><issn>2363-6203</issn><issn>2363-6211</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9UctOwzAQjBBIIOAHOFniHFg_GidHhHhUAnGBs-U669YltYPtIPEl_C4uRXDjsjvandmHpqrOKFxQAHmZBLTQ1sB4DbSjJe5VR4w3vG4Ypfu_GPhhdZrSGgBow5qm646qz6txjNolPZBgSV4hGUNGn10prPTCZZ1J71KObjFlF_yW9aj71WQ0GYJfOhsGp8lGe2cxZexJxI2Or3oxYIHJDQ69QTL5HiN519GFKZEUjAu1GdxGZ2dIMui3nURG7eu5750-qQ6sHhKe_uTj6uX25vn6vn54uptfXz3UhknI9UzOOGMtbQ1jPe25kYZqSRntAewMCuScWhTdQiAXwljaSsGYxU60KBvBj6vz3dwxhrepfKDWYYq-rFSsk3wmaSe6wmI7lokhpYhWjbHcHj8UBbX1QO08UMUD9e2BgiLiO1EqZL_E-Df6H9UX9I-L8A</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>Pradhan, Minakshi</creator><creator>Malakar, Ayushman</creator><creator>Sinha, Animesh</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TN</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0002-4330-697X</orcidid><orcidid>https://orcid.org/0000-0001-7844-2149</orcidid><orcidid>https://orcid.org/0000-0002-6291-8066</orcidid></search><sort><creationdate>20240401</creationdate><title>Appraisal of the potential habitat distribution of Madhuca longifolia manifested remarkable resilience under various socio-climatic scenarios pan-India</title><author>Pradhan, Minakshi ; Malakar, Ayushman ; Sinha, Animesh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c270t-575322818c22d1d3c7c1a7121d00f50a71331fe49b4e344cf187422fe948e7643</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Annual rainfall</topic><topic>Anthropogenic factors</topic><topic>Bioclimatology</topic><topic>Chemistry and Earth Sciences</topic><topic>Climate change</topic><topic>Climate effects</topic><topic>Climatic conditions</topic><topic>Community composition</topic><topic>Computer Science</topic><topic>Distribution</topic><topic>Distribution patterns</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Earth System Sciences</topic><topic>Economic importance</topic><topic>Ecosystems</topic><topic>Environment</topic><topic>Environmental impact</topic><topic>Forest products</topic><topic>Geographical distribution</topic><topic>Human influences</topic><topic>Madhuca longifolia</topic><topic>Math. Appl. in Environmental Science</topic><topic>Mathematical Applications in the Physical Sciences</topic><topic>Maximum entropy</topic><topic>Non-timber forest resources</topic><topic>Original Article</topic><topic>Physics</topic><topic>Precipitation</topic><topic>Social factors</topic><topic>Socioeconomic factors</topic><topic>Socioeconomics</topic><topic>Species composition</topic><topic>Statistics for Engineering</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pradhan, Minakshi</creatorcontrib><creatorcontrib>Malakar, Ayushman</creatorcontrib><creatorcontrib>Sinha, Animesh</creatorcontrib><collection>CrossRef</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Modeling earth systems and environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pradhan, Minakshi</au><au>Malakar, Ayushman</au><au>Sinha, Animesh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Appraisal of the potential habitat distribution of Madhuca longifolia manifested remarkable resilience under various socio-climatic scenarios pan-India</atitle><jtitle>Modeling earth systems and environment</jtitle><stitle>Model. Earth Syst. Environ</stitle><date>2024-04-01</date><risdate>2024</risdate><volume>10</volume><issue>2</issue><spage>2435</spage><epage>2446</epage><pages>2435-2446</pages><issn>2363-6203</issn><eissn>2363-6211</eissn><abstract>Climatic change and various socioeconomic factors have major impact on any ecosystem and functions, notably on species composition and distribution.
Madhuca longifolia
is a socio-economically important tree native to Indian subcontinent. In the present study, impact of climate change on the species was estimated through its potential distribution pattern under current and future climatic scenarios applying four Representative Concentration Pathways (RCPs) i.e. 2.6, 4.5 6.0, 8.5 for the year of 2041–2060 in India using Maximum Entropy (MaxEnt) modelling. 10 bioclimatic variables chosen out of 19 variables through multicollinearity test were used to simulate and determine the effects of climate change on the species distribution. For the current scenario, mean diurnal change (Bio_2) exhibited highest gain, whereas rainfall of warmest quarter (Bio_18) and annual rainfall (Bio_12) displayed the most significant gain under future climatic conditions. This study revealed that the species is mostly concentrated on the eastern part of the India with the state of Jharkhand having maximum highest suitability zones. However, the species demonstrated southerly shifting tendencies under all four RCP future scenarios. According to the projected distribution, there was a 4.5% increase under RCP 2.6 and a 7.37, 7.78, and 3.54% decline under RCP 4.5, 6.0, and 8.5, respectively. If there is no anthropogenic impact and unforeseen evolutionary shift happens within its native distribution, it is anticipated that the species would demonstrate strong resistance to changes in climatic circumstances. This research will be immensely beneficial in strategizing for the long-term conservation and protection of this crucial non-timber forest product (NTFP) species, hence improving the socioeconomic standing of local inhabitants.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s40808-023-01913-0</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-4330-697X</orcidid><orcidid>https://orcid.org/0000-0001-7844-2149</orcidid><orcidid>https://orcid.org/0000-0002-6291-8066</orcidid></addata></record> |
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subjects | Annual rainfall Anthropogenic factors Bioclimatology Chemistry and Earth Sciences Climate change Climate effects Climatic conditions Community composition Computer Science Distribution Distribution patterns Earth and Environmental Science Earth Sciences Earth System Sciences Economic importance Ecosystems Environment Environmental impact Forest products Geographical distribution Human influences Madhuca longifolia Math. Appl. in Environmental Science Mathematical Applications in the Physical Sciences Maximum entropy Non-timber forest resources Original Article Physics Precipitation Social factors Socioeconomic factors Socioeconomics Species composition Statistics for Engineering |
title | Appraisal of the potential habitat distribution of Madhuca longifolia manifested remarkable resilience under various socio-climatic scenarios pan-India |
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