High-resolution species distribution modelling reveals spatio-temporal variability of habitat suitability in a declining grassland bird
Context Species distribution models (SDMs) may provide accurate predictions of species occurrence across space and time, being critical for effective conservation planning. Objectives Focusing on the little bustard ( Tetrax tetrax ), an endangered grassland bird, we aimed to: (i) characterise the dr...
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Veröffentlicht in: | Landscape ecology 2024-02, Vol.39 (3), p.49, Article 49 |
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creator | Crispim-Mendes, Tiago Valerio, Francesco Marques, Ana Teresa Pita, Ricardo Godinho, Sérgio Silva, João Paulo |
description | Context
Species distribution models (SDMs) may provide accurate predictions of species occurrence across space and time, being critical for effective conservation planning.
Objectives
Focusing on the little bustard (
Tetrax tetrax
), an endangered grassland bird, we aimed to: (i) characterise the drivers of the species distribution along its key phenological phases (winter, breeding, and post-breeding); and (ii) quantify spatio-temporal variation in habitat suitability across phenological phases and over the years 2005–2021.
Methods
Combining remotely sensed metrics at high temporal resolution (MODIS) with long-term (> 12 years) GPS telemetry data collected for 91 individuals at one of the species’ main strongholds within the Iberian Peninsula, we built SDMs (250 m resolution) for the species key phenological phases.
Results
The use of both dynamic and static predictors unveiled previously unknown ecological responses by little bustards, revealing a marked change in the spatial distribution of suitable habitat among phenological phases. Long-term habitat suitability trends showed considerable fluctuations, mainly in the breeding and post-breeding phases. Overall, SDM projections into the past revealed that while the species’ winter and post-breeding habitats apparently increased since 2005, suitable habitat during the species’ most critical phenological phase, breeding, apparently reduced in area over time.
Conclusions
Our findings show that matching remotely sensed data with GPS tracking data results in accurate habitat suitability predictions throughout the yearly cycle. Additionally, our findings stress the importance of quantifying habitat loss and its potential impact on little bustard decline over nearly 20 years. Spatio-temporal variations in habitat suitability are also identified in this work, which can help prioritize conservation areas, particularly the breeding areas that have remained stable over time, as this is a key requirement for little bustard lek breeding system. |
doi_str_mv | 10.1007/s10980-024-01848-6 |
format | Article |
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Species distribution models (SDMs) may provide accurate predictions of species occurrence across space and time, being critical for effective conservation planning.
Objectives
Focusing on the little bustard (
Tetrax tetrax
), an endangered grassland bird, we aimed to: (i) characterise the drivers of the species distribution along its key phenological phases (winter, breeding, and post-breeding); and (ii) quantify spatio-temporal variation in habitat suitability across phenological phases and over the years 2005–2021.
Methods
Combining remotely sensed metrics at high temporal resolution (MODIS) with long-term (> 12 years) GPS telemetry data collected for 91 individuals at one of the species’ main strongholds within the Iberian Peninsula, we built SDMs (250 m resolution) for the species key phenological phases.
Results
The use of both dynamic and static predictors unveiled previously unknown ecological responses by little bustards, revealing a marked change in the spatial distribution of suitable habitat among phenological phases. Long-term habitat suitability trends showed considerable fluctuations, mainly in the breeding and post-breeding phases. Overall, SDM projections into the past revealed that while the species’ winter and post-breeding habitats apparently increased since 2005, suitable habitat during the species’ most critical phenological phase, breeding, apparently reduced in area over time.
Conclusions
Our findings show that matching remotely sensed data with GPS tracking data results in accurate habitat suitability predictions throughout the yearly cycle. Additionally, our findings stress the importance of quantifying habitat loss and its potential impact on little bustard decline over nearly 20 years. Spatio-temporal variations in habitat suitability are also identified in this work, which can help prioritize conservation areas, particularly the breeding areas that have remained stable over time, as this is a key requirement for little bustard lek breeding system.</description><identifier>ISSN: 1572-9761</identifier><identifier>ISSN: 0921-2973</identifier><identifier>EISSN: 1572-9761</identifier><identifier>DOI: 10.1007/s10980-024-01848-6</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Animal breeding ; Biomedical and Life Sciences ; Birds ; Breeding ; Breeding sites ; Conservation ; Conservation areas ; Ecology ; Environmental Management ; Geographical distribution ; Grasslands ; Habitat loss ; Habitats ; Landscape Ecology ; Landscape/Regional and Urban Planning ; Life Sciences ; Nature Conservation ; Phases ; Population decline ; Remote sensing ; Research Article ; Spatial distribution ; Species ; Sustainable Development ; Telemetry ; Temporal resolution ; Temporal variations ; Winter</subject><ispartof>Landscape ecology, 2024-02, Vol.39 (3), p.49, Article 49</ispartof><rights>The Author(s) 2024</rights><rights>The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c314t-cef43a49ede14e703415119f76e6737dcb639c118117f9728188cd0394bbae4d3</cites><orcidid>0000-0003-2503-3338</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/s10980-024-01848-6$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://doi.org/10.1007/s10980-024-01848-6$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>315,781,785,27929,27930,41125,41493,42194,42562,51324,51581</link.rule.ids></links><search><creatorcontrib>Crispim-Mendes, Tiago</creatorcontrib><creatorcontrib>Valerio, Francesco</creatorcontrib><creatorcontrib>Marques, Ana Teresa</creatorcontrib><creatorcontrib>Pita, Ricardo</creatorcontrib><creatorcontrib>Godinho, Sérgio</creatorcontrib><creatorcontrib>Silva, João Paulo</creatorcontrib><title>High-resolution species distribution modelling reveals spatio-temporal variability of habitat suitability in a declining grassland bird</title><title>Landscape ecology</title><addtitle>Landsc Ecol</addtitle><description>Context
Species distribution models (SDMs) may provide accurate predictions of species occurrence across space and time, being critical for effective conservation planning.
Objectives
Focusing on the little bustard (
Tetrax tetrax
), an endangered grassland bird, we aimed to: (i) characterise the drivers of the species distribution along its key phenological phases (winter, breeding, and post-breeding); and (ii) quantify spatio-temporal variation in habitat suitability across phenological phases and over the years 2005–2021.
Methods
Combining remotely sensed metrics at high temporal resolution (MODIS) with long-term (> 12 years) GPS telemetry data collected for 91 individuals at one of the species’ main strongholds within the Iberian Peninsula, we built SDMs (250 m resolution) for the species key phenological phases.
Results
The use of both dynamic and static predictors unveiled previously unknown ecological responses by little bustards, revealing a marked change in the spatial distribution of suitable habitat among phenological phases. Long-term habitat suitability trends showed considerable fluctuations, mainly in the breeding and post-breeding phases. Overall, SDM projections into the past revealed that while the species’ winter and post-breeding habitats apparently increased since 2005, suitable habitat during the species’ most critical phenological phase, breeding, apparently reduced in area over time.
Conclusions
Our findings show that matching remotely sensed data with GPS tracking data results in accurate habitat suitability predictions throughout the yearly cycle. Additionally, our findings stress the importance of quantifying habitat loss and its potential impact on little bustard decline over nearly 20 years. Spatio-temporal variations in habitat suitability are also identified in this work, which can help prioritize conservation areas, particularly the breeding areas that have remained stable over time, as this is a key requirement for little bustard lek breeding system.</description><subject>Animal breeding</subject><subject>Biomedical and Life Sciences</subject><subject>Birds</subject><subject>Breeding</subject><subject>Breeding sites</subject><subject>Conservation</subject><subject>Conservation areas</subject><subject>Ecology</subject><subject>Environmental Management</subject><subject>Geographical distribution</subject><subject>Grasslands</subject><subject>Habitat loss</subject><subject>Habitats</subject><subject>Landscape Ecology</subject><subject>Landscape/Regional and Urban Planning</subject><subject>Life Sciences</subject><subject>Nature Conservation</subject><subject>Phases</subject><subject>Population decline</subject><subject>Remote sensing</subject><subject>Research Article</subject><subject>Spatial distribution</subject><subject>Species</subject><subject>Sustainable Development</subject><subject>Telemetry</subject><subject>Temporal resolution</subject><subject>Temporal variations</subject><subject>Winter</subject><issn>1572-9761</issn><issn>0921-2973</issn><issn>1572-9761</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><recordid>eNp9kMFOwzAQRCMEEqXwA5wscTZ4YzeOj6gCilSJC5wtJ96krtIk2EmlfgG_jUsqwYnTjnZn3kqTJLfA7oEx-RCAqZxRlgrKIBc5zc6SGSxkSpXM4PyPvkyuQtgyxjhnbJZ8rVy9oR5D14yD61oSeiwdBmJdGLwrpuWus9g0rq2Jxz2aJkSbiRc64K7vvGnI3nhnCte44UC6imyiHsxAwhjHae1aYojFMnKOpNqbEBrTWlI4b6-Tiypy8eY058nH89P7ckXXby-vy8c1LTmIgZZYCW6EQosgUDIuYAGgKplhJrm0ZZFxVQLkALJSMs0hz0vLuBJFYVBYPk_uJm7vu88Rw6C33ejb-FKnKs0FSMXS6EonV-m7EDxWuvduZ_xBA9PHwvVUuI6F65_CdRZDfAqFaG5r9L_of1LfUqGGyQ</recordid><startdate>20240219</startdate><enddate>20240219</enddate><creator>Crispim-Mendes, Tiago</creator><creator>Valerio, Francesco</creator><creator>Marques, Ana Teresa</creator><creator>Pita, Ricardo</creator><creator>Godinho, Sérgio</creator><creator>Silva, João Paulo</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0003-2503-3338</orcidid></search><sort><creationdate>20240219</creationdate><title>High-resolution species distribution modelling reveals spatio-temporal variability of habitat suitability in a declining grassland bird</title><author>Crispim-Mendes, Tiago ; Valerio, Francesco ; Marques, Ana Teresa ; Pita, Ricardo ; Godinho, Sérgio ; Silva, João Paulo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c314t-cef43a49ede14e703415119f76e6737dcb639c118117f9728188cd0394bbae4d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Animal breeding</topic><topic>Biomedical and Life Sciences</topic><topic>Birds</topic><topic>Breeding</topic><topic>Breeding sites</topic><topic>Conservation</topic><topic>Conservation areas</topic><topic>Ecology</topic><topic>Environmental Management</topic><topic>Geographical distribution</topic><topic>Grasslands</topic><topic>Habitat loss</topic><topic>Habitats</topic><topic>Landscape Ecology</topic><topic>Landscape/Regional and Urban Planning</topic><topic>Life Sciences</topic><topic>Nature Conservation</topic><topic>Phases</topic><topic>Population decline</topic><topic>Remote sensing</topic><topic>Research Article</topic><topic>Spatial distribution</topic><topic>Species</topic><topic>Sustainable Development</topic><topic>Telemetry</topic><topic>Temporal resolution</topic><topic>Temporal variations</topic><topic>Winter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Crispim-Mendes, Tiago</creatorcontrib><creatorcontrib>Valerio, Francesco</creatorcontrib><creatorcontrib>Marques, Ana Teresa</creatorcontrib><creatorcontrib>Pita, Ricardo</creatorcontrib><creatorcontrib>Godinho, Sérgio</creatorcontrib><creatorcontrib>Silva, João Paulo</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><jtitle>Landscape ecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Crispim-Mendes, Tiago</au><au>Valerio, Francesco</au><au>Marques, Ana Teresa</au><au>Pita, Ricardo</au><au>Godinho, Sérgio</au><au>Silva, João Paulo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High-resolution species distribution modelling reveals spatio-temporal variability of habitat suitability in a declining grassland bird</atitle><jtitle>Landscape ecology</jtitle><stitle>Landsc Ecol</stitle><date>2024-02-19</date><risdate>2024</risdate><volume>39</volume><issue>3</issue><spage>49</spage><pages>49-</pages><artnum>49</artnum><issn>1572-9761</issn><issn>0921-2973</issn><eissn>1572-9761</eissn><abstract>Context
Species distribution models (SDMs) may provide accurate predictions of species occurrence across space and time, being critical for effective conservation planning.
Objectives
Focusing on the little bustard (
Tetrax tetrax
), an endangered grassland bird, we aimed to: (i) characterise the drivers of the species distribution along its key phenological phases (winter, breeding, and post-breeding); and (ii) quantify spatio-temporal variation in habitat suitability across phenological phases and over the years 2005–2021.
Methods
Combining remotely sensed metrics at high temporal resolution (MODIS) with long-term (> 12 years) GPS telemetry data collected for 91 individuals at one of the species’ main strongholds within the Iberian Peninsula, we built SDMs (250 m resolution) for the species key phenological phases.
Results
The use of both dynamic and static predictors unveiled previously unknown ecological responses by little bustards, revealing a marked change in the spatial distribution of suitable habitat among phenological phases. Long-term habitat suitability trends showed considerable fluctuations, mainly in the breeding and post-breeding phases. Overall, SDM projections into the past revealed that while the species’ winter and post-breeding habitats apparently increased since 2005, suitable habitat during the species’ most critical phenological phase, breeding, apparently reduced in area over time.
Conclusions
Our findings show that matching remotely sensed data with GPS tracking data results in accurate habitat suitability predictions throughout the yearly cycle. Additionally, our findings stress the importance of quantifying habitat loss and its potential impact on little bustard decline over nearly 20 years. Spatio-temporal variations in habitat suitability are also identified in this work, which can help prioritize conservation areas, particularly the breeding areas that have remained stable over time, as this is a key requirement for little bustard lek breeding system.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10980-024-01848-6</doi><orcidid>https://orcid.org/0000-0003-2503-3338</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Animal breeding Biomedical and Life Sciences Birds Breeding Breeding sites Conservation Conservation areas Ecology Environmental Management Geographical distribution Grasslands Habitat loss Habitats Landscape Ecology Landscape/Regional and Urban Planning Life Sciences Nature Conservation Phases Population decline Remote sensing Research Article Spatial distribution Species Sustainable Development Telemetry Temporal resolution Temporal variations Winter |
title | High-resolution species distribution modelling reveals spatio-temporal variability of habitat suitability in a declining grassland bird |
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