Harnessing essential biodiversity variables and remote sensing of earth observations - synthesizing biodiversity insights
There are major gaps remaining in understanding of species distribution and how relationships between biodiversity, environment and scales change over space and time. This review explores the significance, challenges, future directions, and the potential contribution of Earth Observations based Esse...
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| Published in | Spatial information research (Online) Vol. 32; no. 3; pp. 265 - 276 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
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Singapore
Springer Nature Singapore
01.06.2024
대한공간정보학회 |
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| Abstract | There are major gaps remaining in understanding of species distribution and how relationships between biodiversity, environment and scales change over space and time. This review explores the significance, challenges, future directions, and the potential contribution of Earth Observations based Essential Biodiversity Variables (EBVs) to enhance our understanding of biodiversity. Integrating EBVs with Remote Sensing of Earth Observations (RS-EO) is found to be an effective approach to quantify and monitor changes in biodiversity over space and time. Species serves as the fundamental taxonomic units of biodiversity and are the focal points of conservation policies. Prioritizing the utilization of species-level metrics and their seamless integration into the EBV framework is crucial. The current study has contributed 11 potential EBVs to the existing knowledge base. Integrating multiple data sources and methodologies is essential for overcoming the constraints and obtaining a more comprehensive understanding of biodiversity patterns. This synergy offers a holistic approach for monitoring, assessing, and managing biodiversity, to contribute significantly to global conservation efforts and sustainable development goals. |
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| AbstractList | There are major gaps remaining in understanding of species distribution and how relationships between biodiversity, environment and scales change over space and time. This review explores the significance, challenges, future directions, and the potential contribution of Earth Observations based Essential Biodiversity Variables (EBVs) to enhance our understanding of biodiversity. Integrating EBVs with Remote Sensing of Earth Observations (RS-EO) is found to be an effective approach to quantify and monitor changes in biodiversity over space and time. Species serves as the fundamental taxonomic units of biodiversity and are the focal points of conservation policies. Prioritizing the utilization of species-level metrics and their seamless integration into the EBV framework is crucial. The current study has contributed 11 potential EBVs to the existing knowledge base. Integrating multiple data sources and methodologies is essential for overcoming the constraints and obtaining a more comprehensive understanding of biodiversity patterns. This synergy offers a holistic approach for monitoring, assessing, and managing biodiversity, to contribute significantly to global conservation efforts and sustainable development goals. There are major gaps remaining in understanding of species distribution and how relationships between biodiversity, environment and scales change over space and time. This review explores the significance, challenges, future directions, and the potential contribution of Earth Observations based Essential Biodiversity Variables (EBVs) to enhance our understanding of biodiversity. Integrating EBVs with Remote Sensing of Earth Observations (RS-EO) is found to be an effective approach to quantify and monitor changes in biodiversity over space and time. Species serves as the fundamental taxonomic units of biodiversity and are the focal points of conservation policies. Prioritizing the utilization of species-level metrics and their seamless integration into the EBV framework is crucial. The current study has contributed 11 potential EBVs to the existing knowledge base. Integrating multiple data sources and methodologies is essential for overcoming the constraints and obtaining a more comprehensive understanding of biodiversity patterns. This synergy offers a holistic approach for monitoring, assessing, and managing biodiversity, to contribute significantly to global conservation efforts and sustainable development goals. KCI Citation Count: 1 |
| Author | Reddy, C. Sudhakar Saranya, K. R.L. Neha, P. A. Sri Surya, N. Nitish Rajashekar, G. Satish, K. V. |
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| Cites_doi | 10.1007/s10531-021-02216-5 10.1126/science.1127609 10.1016/j.ecolind.2021.108272 10.1002/rse2.15 10.1038/s41559-022-01702-5 10.1038/s41559-021-01451-x 10.1080/10095020.2017.1333230 10.1038/523403a 10.1080/01431161.2014.964349 10.1007/s10531-008-9359-7 10.1016/j.rse.2012.01.010 10.1002/rse2.4 10.3390/rs9111110 10.1080/21553769.2017.1412361 10.1007/s41324-022-00466-1 10.1007/s41324-022-00457-2 10.1641/0006-3568(2004)054[0511:HSRRSD]2.0.CO;2 10.1046/j.1461-0248.2002.00339.x 10.1016/j.cub.2021.07.049 10.3233/IP-140328 10.1007/s40010-017-0438-6 10.3167/ares.2015.060106 10.1016/S0169-5347(03)00070-3 10.3390/rs11121443 10.1007/s10531-018-1681-0 10.1007/s10980-014-0137-5 10.1111/cobi.12397 10.1002/rse2.31 10.1126/science.122993 10.1038/s41559-019-0826-1 10.1111/brv.12359 10.1002/rse2.9 10.1007/s10531-020-02073-8 10.3390/rs15123074 10.1016/j.biocon.2016.08.019 10.1177/194008290800100202 10.1016/j.jenvman.2022.116428 10.1111/j.1523-1739.2008.01083.x 10.1111/j.1523-1739.1990.tb00309.x 10.3390/f13030445 10.1007/978-3-030-33157-3_18 10.1117/12.2533604 10.2737/PNW-GTR-118 |
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| References | Lock, Skidmore, van Duren, Mücher (CR28) 2021; 132 Turak, Brazill-Boast, Cooney, Drielsma, DelaCruz, Dunkerley, Jones (CR29) 2017; 213 Immitzer, Atzberger (CR46) 2023; 15 Pettorelli, Wegmann, Skidmore, Mücher, Dawson, Fernandez, O’Connor (CR17) 2016; 2 CR39 Adão, Hruška, Pádua, Bessa, Peres, Morais, Sousa (CR34) 2017; 9 Reddy, Diwakar, Krishna Murthy (CR7) 2017; 87 CR35 CR33 CR31 CR30 O’Connor, Secades, Penner, Sonnenschein, Skidmore, Burgess, Hutton (CR14) 2015; 1 Malik, Saranya, Reddy, Varghese (CR21) 2022; 30 Petchey, Gaston (CR5) 2002; 5 Anderson, Ryan, Sonntag, Kavvada, Friedl (CR19) 2017; 20 Wulder, Hall, Coops, Franklin (CR41) 2004; 54 Wulder, Masek, Cohen, Loveland, Woodcock (CR6) 2012; 122 Holmes (CR1) 2015; 6 Turner, Spector, Gardiner, Fladeland, Sterling, Steininger (CR23) 2003; 18 Kissling, Ahumada, Bowser, Fernandez, Fernández, García, Los (CR48) 2018; 93 CR2 Reddy, Kurian, Srivastava, Singhal, Varghese, Padalia, Ayyappan, Rajashekar, Jha, Rao (CR38) 2021; 30 Reddy, Sarika (CR22) 2022; 30 Magurran (CR4) 2021; 31 Vihervaara, Mononen, Auvinen, Virkkala, Lü, Pippuri, Valkama (CR8) 2015; 30 CR44 Palumbo, Rose, Headley, Nackoney, Vodacek, Wegmann (CR50) 2017; 3 Reddy, Faseela, Unnikrishnan, Jha (CR40) 2019; 28 Jetz, McGeoch, Guralnick, Ferrier, Beck, Costello, Merow (CR13) 2019; 3 Brooks, Mittermeier, Fonseca, Gerlach, Hoffmann, Lamoreux, Rodrigues (CR42) 2006; 313 Lock, van Duren, Skidmore, Saintilan (CR15) 2022; 13 Rose, Byler, Eastman, Fleishman, Geller, Goetz, Wilson (CR9) 2015; 29 Reddy (CR18) 2021; 30 Yao, Qin, Chen (CR47) 2019; 11 Cavender-Bares, Schneider, Santos, Armstrong, Carnaval, Dahlin, Townsend (CR26) 2022; 6 Skidmore, Pettorelli, Coops, Geller, Hansen, Lucas, Pereira (CR16) 2015; 523 CR11 CR10 Rocchini, Boyd, Féret, Foody, He, Lausch, Pettorelli (CR32) 2016; 2 Skidmore, Coops, Neinavaz, Ali, Schaepman, Paganini, Feilhauer (CR27) 2021; 5 Kuenzer, Ottinger, Wegmann, Guo, Wang, Zhang, Wikelski (CR25) 2014; 35 Collen, Ram, Zamin, McRae (CR36) 2008; 1 Buchanan, Nelson, Mayaux, Hartley, Donald (CR43) 2009; 23 Satish, Dugesar, Pandey, Srivastava, Pharswan, Wani (CR20) 2023; 325 CR24 Noss (CR3) 1990; 4 Kho, Manickam, Malek, Mosleh, Dhillon (CR37) 2017; 10 Pereira, Ferrier, Walters, Geller, Jongman, Scholes, Cardoso (CR12) 2013; 339 Bertot, Gorham, Jaeger, Sarin, Choi (CR49) 2014; 19 Lengyel, Kobler, Kutnar, Framstad, Henry, Babij, Henle (CR45) 2008; 17 AE Magurran (558_CR4) 2021; 31 M Lock (558_CR15) 2022; 13 558_CR24 E Turak (558_CR29) 2017; 213 S Lengyel (558_CR45) 2008; 17 W Jetz (558_CR13) 2019; 3 AK Skidmore (558_CR27) 2021; 5 C Kuenzer (558_CR25) 2014; 35 CS Reddy (558_CR38) 2021; 30 KV Satish (558_CR20) 2023; 325 558_CR2 JC Bertot (558_CR49) 2014; 19 558_CR11 558_CR10 CS Reddy (558_CR18) 2021; 30 MC Lock (558_CR28) 2021; 132 RF Noss (558_CR3) 1990; 4 D Rocchini (558_CR32) 2016; 2 TM Brooks (558_CR42) 2006; 313 GM Buchanan (558_CR43) 2009; 23 RA Rose (558_CR9) 2015; 29 MA Wulder (558_CR41) 2004; 54 B Collen (558_CR36) 2008; 1 558_CR44 OL Petchey (558_CR5) 2002; 5 P Vihervaara (558_CR8) 2015; 30 SJ Kho (558_CR37) 2017; 10 K Malik (558_CR21) 2022; 30 K Anderson (558_CR19) 2017; 20 B O’Connor (558_CR14) 2015; 1 CS Reddy (558_CR40) 2019; 28 I Palumbo (558_CR50) 2017; 3 WD Kissling (558_CR48) 2018; 93 J Cavender-Bares (558_CR26) 2022; 6 558_CR30 558_CR33 558_CR31 HM Pereira (558_CR12) 2013; 339 558_CR35 558_CR39 CS Reddy (558_CR22) 2022; 30 CS Reddy (558_CR7) 2017; 87 H Yao (558_CR47) 2019; 11 N Pettorelli (558_CR17) 2016; 2 M Immitzer (558_CR46) 2023; 15 MA Wulder (558_CR6) 2012; 122 AK Skidmore (558_CR16) 2015; 523 W Turner (558_CR23) 2003; 18 G Holmes (558_CR1) 2015; 6 T Adão (558_CR34) 2017; 9 |
| References_xml | – volume: 30 start-page: 2617 issue: 10 year: 2021 end-page: 2631 ident: CR18 article-title: Remote sensing of biodiversity: What to measure and monitor from space to species? publication-title: Biodiversity and Conservation doi: 10.1007/s10531-021-02216-5 – ident: CR39 – volume: 313 start-page: 58 issue: 5783 year: 2006 end-page: 61 ident: CR42 article-title: Global biodiversity conservation priorities publication-title: Science doi: 10.1126/science.1127609 – volume: 132 start-page: 108272 year: 2021 ident: CR28 article-title: Evidence-based alignment of conservation policies with remote sensing-enabled essential biodiversity variables publication-title: Ecological Indicators doi: 10.1016/j.ecolind.2021.108272 – volume: 2 start-page: 122 issue: 3 year: 2016 end-page: 131 ident: CR17 article-title: Framing the concept of satellite remote sensing essential biodiversity variables: Challenges and future directions publication-title: Remote Sensing in Ecology and Conservation doi: 10.1002/rse2.15 – volume: 6 start-page: 506 issue: 5 year: 2022 end-page: 519 ident: CR26 article-title: Integrating remote sensing with ecology and evolution to advance biodiversity conservation publication-title: Nature Ecology & Evolution doi: 10.1038/s41559-022-01702-5 – volume: 5 start-page: 896 issue: 7 year: 2021 end-page: 906 ident: CR27 article-title: Priority list of biodiversity metrics to observe from space publication-title: Nature Ecology & Evolution doi: 10.1038/s41559-021-01451-x – ident: CR35 – volume: 20 start-page: 77 issue: 2 year: 2017 end-page: 96 ident: CR19 article-title: Earth observation in service of the 2030 agenda for Sustainable Development publication-title: Geo-spatial Information Science doi: 10.1080/10095020.2017.1333230 – volume: 523 start-page: 403 issue: 7561 year: 2015 end-page: 405 ident: CR16 article-title: Environmental science: Agree on biodiversity metrics to track from space publication-title: Nature doi: 10.1038/523403a – volume: 35 start-page: 6599 issue: 18 year: 2014 end-page: 6647 ident: CR25 article-title: Earth observation satellite sensors for biodiversity monitoring: Potentials and bottlenecks publication-title: International Journal of Remote Sensing doi: 10.1080/01431161.2014.964349 – volume: 17 start-page: 3341 year: 2008 end-page: 3356 ident: CR45 article-title: A review and a framework for the integration of biodiversity monitoring at the habitat level publication-title: Biodiversity and Conservation doi: 10.1007/s10531-008-9359-7 – volume: 122 start-page: 2 year: 2012 end-page: 10 ident: CR6 article-title: Opening the archive: How free data has enabled the science and monitoring promise of Landsat publication-title: Remote Sensing of Environment doi: 10.1016/j.rse.2012.01.010 – volume: 1 start-page: 19 issue: 1 year: 2015 end-page: 28 ident: CR14 article-title: Earth observation as a tool for tracking progress towards the Aichi Biodiversity targets publication-title: Remote Sensing in Ecology and Conservation doi: 10.1002/rse2.4 – volume: 9 start-page: 1110 issue: 11 year: 2017 ident: CR34 article-title: Hyperspectral imaging: A review on UAV-based sensors, data processing and applications for agriculture and forestry publication-title: Remote Sensing doi: 10.3390/rs9111110 – volume: 10 start-page: 98 issue: 1 year: 2017 end-page: 107 ident: CR37 article-title: Automated plant identification using artificial neural network and support vector machine publication-title: Frontiers in Life Science doi: 10.1080/21553769.2017.1412361 – volume: 30 start-page: 729 issue: 6 year: 2022 end-page: 738 ident: CR21 article-title: Predicting the habitat suitability of Dipterocarpus indicus: An endemic and endangered species in the western ghats, India publication-title: Spatial Information Research doi: 10.1007/s41324-022-00466-1 – ident: CR11 – volume: 30 start-page: 617 issue: 5 year: 2022 end-page: 632 ident: CR22 article-title: Monitoring trends in global vegetation Fire hot spots using MODIS data publication-title: Spatial Information Research doi: 10.1007/s41324-022-00457-2 – volume: 54 start-page: 511 issue: 6 year: 2004 end-page: 521 ident: CR41 article-title: High spatial resolution remotely sensed data for ecosystem characterization publication-title: BioScience doi: 10.1641/0006-3568(2004)054[0511:HSRRSD]2.0.CO;2 – volume: 5 start-page: 402 issue: 3 year: 2002 end-page: 411 ident: CR5 article-title: Functional diversity (FD), species richness and community composition publication-title: Ecology Letters doi: 10.1046/j.1461-0248.2002.00339.x – volume: 31 start-page: R1174 issue: 19 year: 2021 end-page: R1177 ident: CR4 article-title: Measuring biological diversity publication-title: Current Biology doi: 10.1016/j.cub.2021.07.049 – volume: 19 start-page: 5 issue: 1–2 year: 2014 end-page: 16 ident: CR49 article-title: Big data, open government and e-government: Issues, policies and recommendations publication-title: Information Polity doi: 10.3233/IP-140328 – volume: 87 start-page: 617 year: 2017 end-page: 627 ident: CR7 article-title: Sustainable biodiversity management in India: Remote sensing perspective publication-title: Proceedings of the National Academy of Sciences India Section A: Physical Sciences doi: 10.1007/s40010-017-0438-6 – volume: 6 start-page: 87 issue: 1 year: 2015 end-page: 108 ident: CR1 article-title: What do we talk about when we talk about biodiversity conservation in the Anthropocene? publication-title: Environment and Society doi: 10.3167/ares.2015.060106 – volume: 18 start-page: 306 issue: 6 year: 2003 end-page: 314 ident: CR23 article-title: Remote sensing for biodiversity science and conservation publication-title: Trends in Ecology & Eevolution doi: 10.1016/S0169-5347(03)00070-3 – ident: CR2 – volume: 11 start-page: 1443 issue: 12 year: 2019 ident: CR47 article-title: Unmanned aerial vehicle for remote sensing applications—A review publication-title: Remote Sensing doi: 10.3390/rs11121443 – volume: 28 start-page: 2197 year: 2019 end-page: 2219 ident: CR40 article-title: Earth observation data for assessing biodiversity conservation priorities in South Asia publication-title: Biodiversity and Conservation doi: 10.1007/s10531-018-1681-0 – ident: CR30 – ident: CR10 – ident: CR33 – volume: 30 start-page: 501 year: 2015 end-page: 516 ident: CR8 article-title: How to integrate remotely sensed data and biodiversity for ecosystem assessments at landscape scale publication-title: Landscape Ecology doi: 10.1007/s10980-014-0137-5 – volume: 29 start-page: 350 issue: 2 year: 2015 end-page: 359 ident: CR9 article-title: Ten ways remote sensing can contribute to conservation publication-title: Conservation Biology doi: 10.1111/cobi.12397 – volume: 3 start-page: 21 issue: 1 year: 2017 end-page: 29 ident: CR50 article-title: Building capacity in remote sensing for conservation: Present and future challenges publication-title: Remote Sensing in Ecology and Conservation doi: 10.1002/rse2.31 – volume: 339 start-page: 277 issue: 6117 year: 2013 end-page: 278 ident: CR12 article-title: Essential biodiversity variables publication-title: Science doi: 10.1126/science.122993 – volume: 3 start-page: 539 issue: 4 year: 2019 end-page: 551 ident: CR13 article-title: Essential biodiversity variables for mapping and monitoring species populations publication-title: Nature Ecology & Evolution doi: 10.1038/s41559-019-0826-1 – volume: 93 start-page: 600 issue: 1 year: 2018 end-page: 625 ident: CR48 article-title: Building essential biodiversity variables (EBV s) of species distribution and abundance at a global scale publication-title: Biological Reviews doi: 10.1111/brv.12359 – volume: 2 start-page: 25 issue: 1 year: 2016 end-page: 36 ident: CR32 article-title: Satellite remote sensing to monitor species diversity: Potential and pitfalls publication-title: Remote Sensing in Ecology and Conservation doi: 10.1002/rse2.9 – ident: CR44 – ident: CR31 – volume: 30 start-page: 1 year: 2021 end-page: 14 ident: CR38 article-title: Remote sensing enabled essential biodiversity variables for biodiversity assessment and monitoring: Technological advancement and potentials publication-title: Biodiversity and Conservation doi: 10.1007/s10531-020-02073-8 – volume: 15 start-page: 3074 issue: 12 year: 2023 ident: CR46 article-title: Tree species diversity mapping - success stories and possible ways Forward publication-title: Remote Sensing doi: 10.3390/rs15123074 – volume: 213 start-page: 264 year: 2017 end-page: 271 ident: CR29 article-title: Using the essential biodiversity variables framework to measure biodiversity change at national scale publication-title: Biological Conservation doi: 10.1016/j.biocon.2016.08.019 – volume: 1 start-page: 75 issue: 2 year: 2008 end-page: 88 ident: CR36 article-title: The tropical biodiversity data gap: Addressing disparity in global monitoring publication-title: Tropical Conservation Science doi: 10.1177/194008290800100202 – volume: 325 start-page: 116428 year: 2023 ident: CR20 article-title: Seeing from space makes sense: Novel earth observation variables accurately map species distributions over Himalaya publication-title: Journal of Environmental Management doi: 10.1016/j.jenvman.2022.116428 – volume: 23 start-page: 499 issue: 2 year: 2009 end-page: 502 ident: CR43 article-title: Delivering a global, terrestrial, biodiversity observation system through remote sensing publication-title: Conservation Biology doi: 10.1111/j.1523-1739.2008.01083.x – volume: 4 start-page: 355 issue: 4 year: 1990 end-page: 364 ident: CR3 article-title: Indicators for monitoring biodiversity: A hierarchical approach publication-title: Conservation Biology doi: 10.1111/j.1523-1739.1990.tb00309.x – volume: 13 start-page: 445 issue: 3 year: 2022 ident: CR15 article-title: Harmonizing forest conservation policies with essential biodiversity variables incorporating Remote Sensing and Environmental DNA technologies publication-title: Forests doi: 10.3390/f13030445 – ident: CR24 – volume: 87 start-page: 617 year: 2017 ident: 558_CR7 publication-title: Proceedings of the National Academy of Sciences India Section A: Physical Sciences doi: 10.1007/s40010-017-0438-6 – ident: 558_CR30 – ident: 558_CR11 – ident: 558_CR24 – volume: 132 start-page: 108272 year: 2021 ident: 558_CR28 publication-title: Ecological Indicators doi: 10.1016/j.ecolind.2021.108272 – volume: 3 start-page: 21 issue: 1 year: 2017 ident: 558_CR50 publication-title: Remote Sensing in Ecology and Conservation doi: 10.1002/rse2.31 – volume: 3 start-page: 539 issue: 4 year: 2019 ident: 558_CR13 publication-title: Nature Ecology & Evolution doi: 10.1038/s41559-019-0826-1 – volume: 1 start-page: 75 issue: 2 year: 2008 ident: 558_CR36 publication-title: Tropical Conservation Science doi: 10.1177/194008290800100202 – volume: 2 start-page: 122 issue: 3 year: 2016 ident: 558_CR17 publication-title: Remote Sensing in Ecology and Conservation doi: 10.1002/rse2.15 – ident: 558_CR39 – volume: 28 start-page: 2197 year: 2019 ident: 558_CR40 publication-title: Biodiversity and Conservation doi: 10.1007/s10531-018-1681-0 – ident: 558_CR31 – ident: 558_CR10 – volume: 2 start-page: 25 issue: 1 year: 2016 ident: 558_CR32 publication-title: Remote Sensing in Ecology and Conservation doi: 10.1002/rse2.9 – volume: 19 start-page: 5 issue: 1–2 year: 2014 ident: 558_CR49 publication-title: Information Polity doi: 10.3233/IP-140328 – volume: 35 start-page: 6599 issue: 18 year: 2014 ident: 558_CR25 publication-title: International Journal of Remote Sensing doi: 10.1080/01431161.2014.964349 – volume: 339 start-page: 277 issue: 6117 year: 2013 ident: 558_CR12 publication-title: Science doi: 10.1126/science.122993 – volume: 54 start-page: 511 issue: 6 year: 2004 ident: 558_CR41 publication-title: BioScience doi: 10.1641/0006-3568(2004)054[0511:HSRRSD]2.0.CO;2 – volume: 4 start-page: 355 issue: 4 year: 1990 ident: 558_CR3 publication-title: Conservation Biology doi: 10.1111/j.1523-1739.1990.tb00309.x – volume: 93 start-page: 600 issue: 1 year: 2018 ident: 558_CR48 publication-title: Biological Reviews doi: 10.1111/brv.12359 – volume: 15 start-page: 3074 issue: 12 year: 2023 ident: 558_CR46 publication-title: Remote Sensing doi: 10.3390/rs15123074 – volume: 5 start-page: 402 issue: 3 year: 2002 ident: 558_CR5 publication-title: Ecology Letters doi: 10.1046/j.1461-0248.2002.00339.x – volume: 122 start-page: 2 year: 2012 ident: 558_CR6 publication-title: Remote Sensing of Environment doi: 10.1016/j.rse.2012.01.010 – volume: 29 start-page: 350 issue: 2 year: 2015 ident: 558_CR9 publication-title: Conservation Biology doi: 10.1111/cobi.12397 – ident: 558_CR35 doi: 10.1007/978-3-030-33157-3_18 – volume: 6 start-page: 87 issue: 1 year: 2015 ident: 558_CR1 publication-title: Environment and Society doi: 10.3167/ares.2015.060106 – volume: 17 start-page: 3341 year: 2008 ident: 558_CR45 publication-title: Biodiversity and Conservation doi: 10.1007/s10531-008-9359-7 – volume: 213 start-page: 264 year: 2017 ident: 558_CR29 publication-title: Biological Conservation doi: 10.1016/j.biocon.2016.08.019 – volume: 9 start-page: 1110 issue: 11 year: 2017 ident: 558_CR34 publication-title: Remote Sensing doi: 10.3390/rs9111110 – volume: 10 start-page: 98 issue: 1 year: 2017 ident: 558_CR37 publication-title: Frontiers in Life Science doi: 10.1080/21553769.2017.1412361 – volume: 23 start-page: 499 issue: 2 year: 2009 ident: 558_CR43 publication-title: Conservation Biology doi: 10.1111/j.1523-1739.2008.01083.x – volume: 11 start-page: 1443 issue: 12 year: 2019 ident: 558_CR47 publication-title: Remote Sensing doi: 10.3390/rs11121443 – volume: 313 start-page: 58 issue: 5783 year: 2006 ident: 558_CR42 publication-title: Science doi: 10.1126/science.1127609 – volume: 31 start-page: R1174 issue: 19 year: 2021 ident: 558_CR4 publication-title: Current Biology doi: 10.1016/j.cub.2021.07.049 – volume: 30 start-page: 729 issue: 6 year: 2022 ident: 558_CR21 publication-title: Spatial Information Research doi: 10.1007/s41324-022-00466-1 – ident: 558_CR33 doi: 10.1117/12.2533604 – volume: 30 start-page: 1 year: 2021 ident: 558_CR38 publication-title: Biodiversity and Conservation doi: 10.1007/s10531-020-02073-8 – volume: 325 start-page: 116428 year: 2023 ident: 558_CR20 publication-title: Journal of Environmental Management doi: 10.1016/j.jenvman.2022.116428 – volume: 18 start-page: 306 issue: 6 year: 2003 ident: 558_CR23 publication-title: Trends in Ecology & Eevolution doi: 10.1016/S0169-5347(03)00070-3 – volume: 1 start-page: 19 issue: 1 year: 2015 ident: 558_CR14 publication-title: Remote Sensing in Ecology and Conservation doi: 10.1002/rse2.4 – ident: 558_CR44 – volume: 30 start-page: 617 issue: 5 year: 2022 ident: 558_CR22 publication-title: Spatial Information Research doi: 10.1007/s41324-022-00457-2 – volume: 523 start-page: 403 issue: 7561 year: 2015 ident: 558_CR16 publication-title: Nature doi: 10.1038/523403a – volume: 20 start-page: 77 issue: 2 year: 2017 ident: 558_CR19 publication-title: Geo-spatial Information Science doi: 10.1080/10095020.2017.1333230 – volume: 13 start-page: 445 issue: 3 year: 2022 ident: 558_CR15 publication-title: Forests doi: 10.3390/f13030445 – volume: 6 start-page: 506 issue: 5 year: 2022 ident: 558_CR26 publication-title: Nature Ecology & Evolution doi: 10.1038/s41559-022-01702-5 – volume: 30 start-page: 2617 issue: 10 year: 2021 ident: 558_CR18 publication-title: Biodiversity and Conservation doi: 10.1007/s10531-021-02216-5 – ident: 558_CR2 doi: 10.2737/PNW-GTR-118 – volume: 5 start-page: 896 issue: 7 year: 2021 ident: 558_CR27 publication-title: Nature Ecology & Evolution doi: 10.1038/s41559-021-01451-x – volume: 30 start-page: 501 year: 2015 ident: 558_CR8 publication-title: Landscape Ecology doi: 10.1007/s10980-014-0137-5 |
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