Environmental factors influencing the distribution of endangered endemic species Hedysarum criniferum Boiss in arid and semi-arid rangelands, Iran
Understanding the factors influencing the distribution of plant species is crucial for enhancing the management of endangered ecosystems. This study investigated the response of Hedysarum criniferum Boiss, an endemic and endangered species to 25 environmental variables within its habitats with an ar...
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| Veröffentlicht in: | Journal of arid land 2024, Vol.16 (12), p.1730-1743 |
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| creator | Hayati, Javid Bashari, Hossein Matinkhah, Seyed H. Karimzadeh, Hamid R. Tarkesh, Mostafa |
| description | Understanding the factors influencing the distribution of plant species is crucial for enhancing the management of endangered ecosystems. This study investigated the response of
Hedysarum criniferum
Boiss, an endemic and endangered species to 25 environmental variables within its habitats with an area of 2.95×10
5
km
2
in arid and semi-arid rangelands of Iran. The purpose of this research is to identify the key environmental factors affecting the distribution and habitat preferences of
H. criniferum
for further conservation and restoration of the species. To predict the occurrence of
H. criniferum
and explore its relationship with environmental factors, we employed the best subset regression analysis, the hierarchical classification, and the extended Huisman-Olf-Fresco (eHOF) model. The results showed that four environmental variables, i.e., gravel content, pH, annual minimum temperature, and mean annual temperature showed significant correlations with the canopy cover of
H. criniferum
(
P |
| doi_str_mv | 10.1007/s40333-024-0036-9 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3147963141</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3147963141</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1139-9498e5d95595020f8c186a162a925d35e98afa7a4aab810fac594e9c0dd019573</originalsourceid><addsrcrecordid>eNp1kMFOAyEQhonRxKb2AbyReBWFhV2WozbVNmniRc-EwmyladkKuyZ9DZ9Y1jXxJAeYIf__T-ZD6JrRO0apvE-Ccs4JLQShlFdEnaFJwZQgUtb8HE1YJQWpZCUv0SylHc2nqoUSbIK-FuHTxzYcIHRmjxtjuzYm7EOz7yFYH7a4ewfsfOqi3_SdbwNuGwzBmbCFCG4o4eAtTkewHhJegjslE_sDttEH38BQPrY-DanYRO-wCQ6nbCI_XRyS9vkv3eJVbq7QRWP2CWa_7xS9PS1e50uyfnlezR_WxDLGFVFC1VA6VZaqpAVtasvqyrCqMKooHS9B1aYx0ghjNjWjebNSCVCWOkeZKiWfopsx9xjbjx5Sp3dtH0MeqTkTUlX5ZlnFRpWNbUoRGn2M_mDiSTOqB_p6pK8zfT3Q1yp7itGTsnbA9Jf8v-kbfTGJkw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3147963141</pqid></control><display><type>article</type><title>Environmental factors influencing the distribution of endangered endemic species Hedysarum criniferum Boiss in arid and semi-arid rangelands, Iran</title><source>Alma/SFX Local Collection</source><source>SpringerLink Journals - AutoHoldings</source><creator>Hayati, Javid ; Bashari, Hossein ; Matinkhah, Seyed H. ; Karimzadeh, Hamid R. ; Tarkesh, Mostafa</creator><creatorcontrib>Hayati, Javid ; Bashari, Hossein ; Matinkhah, Seyed H. ; Karimzadeh, Hamid R. ; Tarkesh, Mostafa</creatorcontrib><description>Understanding the factors influencing the distribution of plant species is crucial for enhancing the management of endangered ecosystems. This study investigated the response of
Hedysarum criniferum
Boiss, an endemic and endangered species to 25 environmental variables within its habitats with an area of 2.95×10
5
km
2
in arid and semi-arid rangelands of Iran. The purpose of this research is to identify the key environmental factors affecting the distribution and habitat preferences of
H. criniferum
for further conservation and restoration of the species. To predict the occurrence of
H. criniferum
and explore its relationship with environmental factors, we employed the best subset regression analysis, the hierarchical classification, and the extended Huisman-Olf-Fresco (eHOF) model. The results showed that four environmental variables, i.e., gravel content, pH, annual minimum temperature, and mean annual temperature showed significant correlations with the canopy cover of
H. criniferum
(
P
<0.05). The probability of
H. criniferum
occurrence increased with higher precipitation and elevation, while it decreased with higher mean annual temperature, annual minimum temperature, and gravel content. The species’ response curves and their optimal values, as assessed by the eHOF model, indicated that the response to mean annual temperature, ranging from 12°C to 16°C, was optimal at 13°C. The response to mean annual precipitation, within a range of 150–650 mm, was optimal at 650 mm. Elevation responses, spanning from 1546 to 2450 m, showed an optimum at 2450 m. Regarding soil characteristics, the response to gravel content, ranging from 13.0%–48.0%, demonstrated an optimal value at 20.0%. The pH levels, varying from 7.5 to 8.2, prompted a sine-shaped response with an optimal pH of 8.0. These findings provide valuable insights for predicting species occurrence and identifying suitable locations for restoration programs. Our study underscores the importance of considering multiple environmental variables in habitat suitability assessments. By incorporating these broader considerations, we can further refine predictive models and enhance conservation efforts aimed at restoring habitats conducive to the luxuriance of endangered species like
H. criniferum
.</description><identifier>ISSN: 1674-6767</identifier><identifier>EISSN: 2194-7783</identifier><identifier>DOI: 10.1007/s40333-024-0036-9</identifier><language>eng</language><publisher>Heidelberg: Science Press</publisher><subject>Annual ; Annual precipitation ; Arid environments ; Aridity ; Conservation ; Earth and Environmental Science ; Ecological distribution ; Ecosystem management ; Endangered & extinct species ; Endangered species ; Endemic species ; Environmental factors ; Environmental management ; Environmental restoration ; Geographical distribution ; Geography ; Gravel ; Habitat preferences ; Habitat selection ; Habitats ; Hedysarum ; Optimization ; pH effects ; Physical Geography ; Plant Ecology ; Plant species ; Precipitation ; Prediction models ; Rangelands ; Rare species ; Regression analysis ; Research Article ; Soil characteristics ; Statistical analysis ; Sustainable Development ; Temperature ; Wildlife conservation</subject><ispartof>Journal of arid land, 2024, Vol.16 (12), p.1730-1743</ispartof><rights>Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2024</rights><rights>Copyright Springer Nature B.V. 2024</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1139-9498e5d95595020f8c186a162a925d35e98afa7a4aab810fac594e9c0dd019573</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s40333-024-0036-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s40333-024-0036-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27922,27923,41486,42555,51317</link.rule.ids></links><search><creatorcontrib>Hayati, Javid</creatorcontrib><creatorcontrib>Bashari, Hossein</creatorcontrib><creatorcontrib>Matinkhah, Seyed H.</creatorcontrib><creatorcontrib>Karimzadeh, Hamid R.</creatorcontrib><creatorcontrib>Tarkesh, Mostafa</creatorcontrib><title>Environmental factors influencing the distribution of endangered endemic species Hedysarum criniferum Boiss in arid and semi-arid rangelands, Iran</title><title>Journal of arid land</title><addtitle>J. Arid Land</addtitle><description>Understanding the factors influencing the distribution of plant species is crucial for enhancing the management of endangered ecosystems. This study investigated the response of
Hedysarum criniferum
Boiss, an endemic and endangered species to 25 environmental variables within its habitats with an area of 2.95×10
5
km
2
in arid and semi-arid rangelands of Iran. The purpose of this research is to identify the key environmental factors affecting the distribution and habitat preferences of
H. criniferum
for further conservation and restoration of the species. To predict the occurrence of
H. criniferum
and explore its relationship with environmental factors, we employed the best subset regression analysis, the hierarchical classification, and the extended Huisman-Olf-Fresco (eHOF) model. The results showed that four environmental variables, i.e., gravel content, pH, annual minimum temperature, and mean annual temperature showed significant correlations with the canopy cover of
H. criniferum
(
P
<0.05). The probability of
H. criniferum
occurrence increased with higher precipitation and elevation, while it decreased with higher mean annual temperature, annual minimum temperature, and gravel content. The species’ response curves and their optimal values, as assessed by the eHOF model, indicated that the response to mean annual temperature, ranging from 12°C to 16°C, was optimal at 13°C. The response to mean annual precipitation, within a range of 150–650 mm, was optimal at 650 mm. Elevation responses, spanning from 1546 to 2450 m, showed an optimum at 2450 m. Regarding soil characteristics, the response to gravel content, ranging from 13.0%–48.0%, demonstrated an optimal value at 20.0%. The pH levels, varying from 7.5 to 8.2, prompted a sine-shaped response with an optimal pH of 8.0. These findings provide valuable insights for predicting species occurrence and identifying suitable locations for restoration programs. Our study underscores the importance of considering multiple environmental variables in habitat suitability assessments. By incorporating these broader considerations, we can further refine predictive models and enhance conservation efforts aimed at restoring habitats conducive to the luxuriance of endangered species like
H. criniferum
.</description><subject>Annual</subject><subject>Annual precipitation</subject><subject>Arid environments</subject><subject>Aridity</subject><subject>Conservation</subject><subject>Earth and Environmental Science</subject><subject>Ecological distribution</subject><subject>Ecosystem management</subject><subject>Endangered & extinct species</subject><subject>Endangered species</subject><subject>Endemic species</subject><subject>Environmental factors</subject><subject>Environmental management</subject><subject>Environmental restoration</subject><subject>Geographical distribution</subject><subject>Geography</subject><subject>Gravel</subject><subject>Habitat preferences</subject><subject>Habitat selection</subject><subject>Habitats</subject><subject>Hedysarum</subject><subject>Optimization</subject><subject>pH effects</subject><subject>Physical Geography</subject><subject>Plant Ecology</subject><subject>Plant species</subject><subject>Precipitation</subject><subject>Prediction models</subject><subject>Rangelands</subject><subject>Rare species</subject><subject>Regression analysis</subject><subject>Research Article</subject><subject>Soil characteristics</subject><subject>Statistical analysis</subject><subject>Sustainable Development</subject><subject>Temperature</subject><subject>Wildlife conservation</subject><issn>1674-6767</issn><issn>2194-7783</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp1kMFOAyEQhonRxKb2AbyReBWFhV2WozbVNmniRc-EwmyladkKuyZ9DZ9Y1jXxJAeYIf__T-ZD6JrRO0apvE-Ccs4JLQShlFdEnaFJwZQgUtb8HE1YJQWpZCUv0SylHc2nqoUSbIK-FuHTxzYcIHRmjxtjuzYm7EOz7yFYH7a4ewfsfOqi3_SdbwNuGwzBmbCFCG4o4eAtTkewHhJegjslE_sDttEH38BQPrY-DanYRO-wCQ6nbCI_XRyS9vkv3eJVbq7QRWP2CWa_7xS9PS1e50uyfnlezR_WxDLGFVFC1VA6VZaqpAVtasvqyrCqMKooHS9B1aYx0ghjNjWjebNSCVCWOkeZKiWfopsx9xjbjx5Sp3dtH0MeqTkTUlX5ZlnFRpWNbUoRGn2M_mDiSTOqB_p6pK8zfT3Q1yp7itGTsnbA9Jf8v-kbfTGJkw</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Hayati, Javid</creator><creator>Bashari, Hossein</creator><creator>Matinkhah, Seyed H.</creator><creator>Karimzadeh, Hamid R.</creator><creator>Tarkesh, Mostafa</creator><general>Science Press</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope></search><sort><creationdate>2024</creationdate><title>Environmental factors influencing the distribution of endangered endemic species Hedysarum criniferum Boiss in arid and semi-arid rangelands, Iran</title><author>Hayati, Javid ; Bashari, Hossein ; Matinkhah, Seyed H. ; Karimzadeh, Hamid R. ; Tarkesh, Mostafa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1139-9498e5d95595020f8c186a162a925d35e98afa7a4aab810fac594e9c0dd019573</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Annual</topic><topic>Annual precipitation</topic><topic>Arid environments</topic><topic>Aridity</topic><topic>Conservation</topic><topic>Earth and Environmental Science</topic><topic>Ecological distribution</topic><topic>Ecosystem management</topic><topic>Endangered & extinct species</topic><topic>Endangered species</topic><topic>Endemic species</topic><topic>Environmental factors</topic><topic>Environmental management</topic><topic>Environmental restoration</topic><topic>Geographical distribution</topic><topic>Geography</topic><topic>Gravel</topic><topic>Habitat preferences</topic><topic>Habitat selection</topic><topic>Habitats</topic><topic>Hedysarum</topic><topic>Optimization</topic><topic>pH effects</topic><topic>Physical Geography</topic><topic>Plant Ecology</topic><topic>Plant species</topic><topic>Precipitation</topic><topic>Prediction models</topic><topic>Rangelands</topic><topic>Rare species</topic><topic>Regression analysis</topic><topic>Research Article</topic><topic>Soil characteristics</topic><topic>Statistical analysis</topic><topic>Sustainable Development</topic><topic>Temperature</topic><topic>Wildlife conservation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hayati, Javid</creatorcontrib><creatorcontrib>Bashari, Hossein</creatorcontrib><creatorcontrib>Matinkhah, Seyed H.</creatorcontrib><creatorcontrib>Karimzadeh, Hamid R.</creatorcontrib><creatorcontrib>Tarkesh, Mostafa</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</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>Journal of arid land</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hayati, Javid</au><au>Bashari, Hossein</au><au>Matinkhah, Seyed H.</au><au>Karimzadeh, Hamid R.</au><au>Tarkesh, Mostafa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Environmental factors influencing the distribution of endangered endemic species Hedysarum criniferum Boiss in arid and semi-arid rangelands, Iran</atitle><jtitle>Journal of arid land</jtitle><stitle>J. Arid Land</stitle><date>2024</date><risdate>2024</risdate><volume>16</volume><issue>12</issue><spage>1730</spage><epage>1743</epage><pages>1730-1743</pages><issn>1674-6767</issn><eissn>2194-7783</eissn><abstract>Understanding the factors influencing the distribution of plant species is crucial for enhancing the management of endangered ecosystems. This study investigated the response of
Hedysarum criniferum
Boiss, an endemic and endangered species to 25 environmental variables within its habitats with an area of 2.95×10
5
km
2
in arid and semi-arid rangelands of Iran. The purpose of this research is to identify the key environmental factors affecting the distribution and habitat preferences of
H. criniferum
for further conservation and restoration of the species. To predict the occurrence of
H. criniferum
and explore its relationship with environmental factors, we employed the best subset regression analysis, the hierarchical classification, and the extended Huisman-Olf-Fresco (eHOF) model. The results showed that four environmental variables, i.e., gravel content, pH, annual minimum temperature, and mean annual temperature showed significant correlations with the canopy cover of
H. criniferum
(
P
<0.05). The probability of
H. criniferum
occurrence increased with higher precipitation and elevation, while it decreased with higher mean annual temperature, annual minimum temperature, and gravel content. The species’ response curves and their optimal values, as assessed by the eHOF model, indicated that the response to mean annual temperature, ranging from 12°C to 16°C, was optimal at 13°C. The response to mean annual precipitation, within a range of 150–650 mm, was optimal at 650 mm. Elevation responses, spanning from 1546 to 2450 m, showed an optimum at 2450 m. Regarding soil characteristics, the response to gravel content, ranging from 13.0%–48.0%, demonstrated an optimal value at 20.0%. The pH levels, varying from 7.5 to 8.2, prompted a sine-shaped response with an optimal pH of 8.0. These findings provide valuable insights for predicting species occurrence and identifying suitable locations for restoration programs. Our study underscores the importance of considering multiple environmental variables in habitat suitability assessments. By incorporating these broader considerations, we can further refine predictive models and enhance conservation efforts aimed at restoring habitats conducive to the luxuriance of endangered species like
H. criniferum
.</abstract><cop>Heidelberg</cop><pub>Science Press</pub><doi>10.1007/s40333-024-0036-9</doi><tpages>14</tpages></addata></record> |
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| ispartof | Journal of arid land, 2024, Vol.16 (12), p.1730-1743 |
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| language | eng |
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| subjects | Annual Annual precipitation Arid environments Aridity Conservation Earth and Environmental Science Ecological distribution Ecosystem management Endangered & extinct species Endangered species Endemic species Environmental factors Environmental management Environmental restoration Geographical distribution Geography Gravel Habitat preferences Habitat selection Habitats Hedysarum Optimization pH effects Physical Geography Plant Ecology Plant species Precipitation Prediction models Rangelands Rare species Regression analysis Research Article Soil characteristics Statistical analysis Sustainable Development Temperature Wildlife conservation |
| title | Environmental factors influencing the distribution of endangered endemic species Hedysarum criniferum Boiss in arid and semi-arid rangelands, Iran |
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