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Progress, challenges and prospects of eco-hydrological studies in the Tarim river basin of Xinjiang, China.

Environmental management

Chen Y, Xu C, Chen Y, Liu Y, Li W.
PMID: 22392285
Environ Manage. 2013 Jan;51(1):138-53. doi: 10.1007/s00267-012-9823-8. Epub 2012 Mar 04.

Eco-hydrological research in arid inland river basins has been a focus of geologists and ecologists as it is crucial for maintaining the sustainable development of socio-economy, particularly in ecologically vulnerable areas. Based on the research work carried out in...

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Chen Y, Xu C, Chen Y, et al. Progress, challenges and prospects of eco-hydrological studies in the Tarim river basin of Xinjiang, China. Environ Manage. 2012;51(1):138-53doi: 10.1007/s00267-012-9823-8.
Chen, Y., Xu, C., Chen, Y., Liu, Y., & Li, W. (2013). Progress, challenges and prospects of eco-hydrological studies in the Tarim river basin of Xinjiang, China. Environmental management, 51(1), 138-53. https://doi.org/10.1007/s00267-012-9823-8
Chen, Yaning, et al. "Progress, challenges and prospects of eco-hydrological studies in the Tarim river basin of Xinjiang, China." Environmental management vol. 51,1 (2013): 138-53. doi: https://doi.org/10.1007/s00267-012-9823-8
Chen Y, Xu C, Chen Y, Liu Y, Li W. Progress, challenges and prospects of eco-hydrological studies in the Tarim river basin of Xinjiang, China. Environ Manage. 2013 Jan;51(1):138-53. doi: 10.1007/s00267-012-9823-8. Epub 2012 Mar 04. PMID: 22392285.
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Landscape Dynamics Improved Recreation Service of the Three Gorges Reservoir Area, China.

International journal of environmental research and public health

Zhao D, Xiao M, Huang C, Liang Y, An Z.
PMID: 34444106
Int J Environ Res Public Health. 2021 Aug 06;18(16). doi: 10.3390/ijerph18168356.

Spatio-temporal variations of recreation service not only could help to understand the impact of cultural services on human well-being but also provides theoretical and technical support for regional landscape management. However, previous studies have avoided deeply quantifying and analyzing...

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Zhao D, Xiao M, Huang C, et al. Landscape Dynamics Improved Recreation Service of the Three Gorges Reservoir Area, China. Int J Environ Res Public Health. 2021;18(16)doi: 10.3390/ijerph18168356.
Zhao, D., Xiao, M., Huang, C., Liang, Y., & An, Z. (2021). Landscape Dynamics Improved Recreation Service of the Three Gorges Reservoir Area, China. International journal of environmental research and public health, 18(16), . https://doi.org/10.3390/ijerph18168356
Zhao, Dengyue, et al. "Landscape Dynamics Improved Recreation Service of the Three Gorges Reservoir Area, China." International journal of environmental research and public health vol. 18,16 (2021). doi: https://doi.org/10.3390/ijerph18168356
Zhao D, Xiao M, Huang C, Liang Y, An Z. Landscape Dynamics Improved Recreation Service of the Three Gorges Reservoir Area, China. Int J Environ Res Public Health. 2021 Aug 06;18(16). doi: 10.3390/ijerph18168356. PMID: 34444106; PMCID: PMC8392286.
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Identifying indicator species in ecological habitats using Deep Optimal Feature Learning.

PloS one

Tsai Y, Baldwin SA, Gopaluni B.
PMID: 34506523
PLoS One. 2021 Sep 10;16(9):e0256782. doi: 10.1371/journal.pone.0256782. eCollection 2021.

Much of the current research on supervised modelling is focused on maximizing outcome prediction accuracy. However, in engineering disciplines, an arguably more important goal is that of feature extraction, the identification of relevant features associated with the various outcomes....

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Tsai Y, Baldwin SA, Gopaluni B. Identifying indicator species in ecological habitats using Deep Optimal Feature Learning. PLoS One. 2021;16(9):e0256782doi: 10.1371/journal.pone.0256782.
Tsai, Y., Baldwin, S. A., & Gopaluni, B. (2021). Identifying indicator species in ecological habitats using Deep Optimal Feature Learning. PloS one, 16(9), e0256782. https://doi.org/10.1371/journal.pone.0256782
Tsai, Yiting, et al. "Identifying indicator species in ecological habitats using Deep Optimal Feature Learning." PloS one vol. 16,9 (2021): e0256782. doi: https://doi.org/10.1371/journal.pone.0256782
Tsai Y, Baldwin SA, Gopaluni B. Identifying indicator species in ecological habitats using Deep Optimal Feature Learning. PLoS One. 2021 Sep 10;16(9):e0256782. doi: 10.1371/journal.pone.0256782. eCollection 2021. PMID: 34506523; PMCID: PMC8432828.
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Decision support tools for oil spill response (OSR-DSTs): Approaches, challenges, and future research perspectives.

Marine pollution bulletin

Yang Z, Chen Z, Lee K, Owens E, Boufadel MC, An C, Taylor E.
PMID: 33839574
Mar Pollut Bull. 2021 Jun;167:112313. doi: 10.1016/j.marpolbul.2021.112313. Epub 2021 Apr 08.

Marine oil spills pose a significant threat to ocean and coastal ecosystems. In addition to costs incurred by response activities, an economic burden could be experienced by stakeholders dependent on coastal resources. Decision support tools for oil spill response...

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Yang Z, Chen Z, Lee K, et al. Decision support tools for oil spill response (OSR-DSTs): Approaches, challenges, and future research perspectives. Mar Pollut Bull. 2021;167:112313doi: 10.1016/j.marpolbul.2021.112313.
Yang, Z., Chen, Z., Lee, K., Owens, E., Boufadel, M. C., An, C., & Taylor, E. (2021). Decision support tools for oil spill response (OSR-DSTs): Approaches, challenges, and future research perspectives. Marine pollution bulletin, 167112313. https://doi.org/10.1016/j.marpolbul.2021.112313
Yang, Zhaoyang, et al. "Decision support tools for oil spill response (OSR-DSTs): Approaches, challenges, and future research perspectives." Marine pollution bulletin vol. 167 (2021): 112313. doi: https://doi.org/10.1016/j.marpolbul.2021.112313
Yang Z, Chen Z, Lee K, Owens E, Boufadel MC, An C, Taylor E. Decision support tools for oil spill response (OSR-DSTs): Approaches, challenges, and future research perspectives. Mar Pollut Bull. 2021 Jun;167:112313. doi: 10.1016/j.marpolbul.2021.112313. Epub 2021 Apr 08. PMID: 33839574.
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[Research progress on the differences and connections between supply and demand of urban green space].

Ying yong sheng tai xue bao = The journal of applied ecology

Chen ZH, Huang GL.
PMID: 33300744
Ying Yong Sheng Tai Xue Bao. 2020 Nov;31(11):3925-3934. doi: 10.13287/j.1001-9332.202011.018.

As an important concept connecting urban green space (UGS) with the residents' demands, supply and demand of UGS is an important part of UGS research and planning. Identifying the difference and connection between UGS supply and demand contributes to...

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Chen ZH, Huang GL. 城市绿地供需的差异与联系研究进展. [Research progress on the differences and connections between supply and demand of urban green space]. Ying Yong Sheng Tai Xue Bao. 2020;31(11):3925-3934doi: 10.13287/j.1001-9332.202011.018.
Chen, Z. H., & Huang, G. L. (2020). 城市绿地供需的差异与联系研究进展. [Research progress on the differences and connections between supply and demand of urban green space]. Ying yong sheng tai xue bao = The journal of applied ecology, 31(11), 3925-3934. https://doi.org/10.13287/j.1001-9332.202011.018
Chen, Zhang-Hao, and Huang, Gan-Lin. "城市绿地供需的差异与联系研究进展." [Research progress on the differences and connections between supply and demand of urban green space]. Ying yong sheng tai xue bao = The journal of applied ecology vol. 31,11 (2020): 3925-3934. doi: https://doi.org/10.13287/j.1001-9332.202011.018
Chen ZH, Huang GL. 城市绿地供需的差异与联系研究进展. [Research progress on the differences and connections between supply and demand of urban green space]. Ying Yong Sheng Tai Xue Bao. 2020 Nov;31(11):3925-3934. doi: 10.13287/j.1001-9332.202011.018. Chinese. PMID: 33300744.
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Molecular signatures of resource competition: Clonal interference favors ecological diversification and can lead to incipient speciation.

Evolution; international journal of organic evolution

Amicone M, Gordo I.
PMID: 34341983
Evolution. 2021 Nov;75(11):2641-2657. doi: 10.1111/evo.14315. Epub 2021 Aug 18.

Microbial ecosystems harbor an astonishing diversity that can persist for long times. To understand how such diversity is structured and maintained, ecological and evolutionary processes need to be integrated at similar timescales. Here, we study a model of resource...

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Amicone M, Gordo I. Molecular signatures of resource competition: Clonal interference favors ecological diversification and can lead to incipient speciation. Evolution. 2021;75(11):2641-2657doi: 10.1111/evo.14315.
Amicone, M., & Gordo, I. (2021). Molecular signatures of resource competition: Clonal interference favors ecological diversification and can lead to incipient speciation. Evolution; international journal of organic evolution, 75(11), 2641-2657. https://doi.org/10.1111/evo.14315
Amicone, Massimo, and Gordo, Isabel. "Molecular signatures of resource competition: Clonal interference favors ecological diversification and can lead to incipient speciation." Evolution; international journal of organic evolution vol. 75,11 (2021): 2641-2657. doi: https://doi.org/10.1111/evo.14315
Amicone M, Gordo I. Molecular signatures of resource competition: Clonal interference favors ecological diversification and can lead to incipient speciation. Evolution. 2021 Nov;75(11):2641-2657. doi: 10.1111/evo.14315. Epub 2021 Aug 18. PMID: 34341983.
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Winner-Loser Species Replacements in Human-Modified Landscapes.

Trends in ecology & evolution

Filgueiras BKC, Peres CA, Melo FPL, Leal IR, Tabarelli M.
PMID: 33685660
Trends Ecol Evol. 2021 Jun;36(6):545-555. doi: 10.1016/j.tree.2021.02.006. Epub 2021 Mar 05.

Community assembly arguably drives the provision of ecosystem services because they critically depend on which and how species coexist. We examine conspicuous cases of 'winner and loser' replacements (WLRs) in tropical forests to provide a framework integrating drivers, impacts...

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Filgueiras BKC, Peres CA, Melo FPL, et al. Winner-Loser Species Replacements in Human-Modified Landscapes. Trends Ecol Evol. 2021;36(6):545-555doi: 10.1016/j.tree.2021.02.006.
Filgueiras, B. K. C., Peres, C. A., Melo, F. P. L., Leal, I. R., & Tabarelli, M. (2021). Winner-Loser Species Replacements in Human-Modified Landscapes. Trends in ecology & evolution, 36(6), 545-555. https://doi.org/10.1016/j.tree.2021.02.006
Filgueiras, Bruno K C, et al. "Winner-Loser Species Replacements in Human-Modified Landscapes." Trends in ecology & evolution vol. 36,6 (2021): 545-555. doi: https://doi.org/10.1016/j.tree.2021.02.006
Filgueiras BKC, Peres CA, Melo FPL, Leal IR, Tabarelli M. Winner-Loser Species Replacements in Human-Modified Landscapes. Trends Ecol Evol. 2021 Jun;36(6):545-555. doi: 10.1016/j.tree.2021.02.006. Epub 2021 Mar 05. PMID: 33685660.
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Coupling and Coordinating Relationship between Tourism Economy and Ecological Environment-A Case Study of Nagasaki Prefecture, Japan.

International journal of environmental research and public health

Liu Y, Suk S.
PMID: 34886544
Int J Environ Res Public Health. 2021 Dec 05;18(23). doi: 10.3390/ijerph182312818.

The tourism environment is the basis of sustainable development in the tourism economy. Exploring the coupling relationship between tourism economy and ecological environment systems can promote not only ecology-based tourism, but also contribute to the sustainable development of tourism...

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Liu Y, Suk S. Coupling and Coordinating Relationship between Tourism Economy and Ecological Environment-A Case Study of Nagasaki Prefecture, Japan. Int J Environ Res Public Health. 2021;18(23)doi: 10.3390/ijerph182312818.
Liu, Y., & Suk, S. (2021). Coupling and Coordinating Relationship between Tourism Economy and Ecological Environment-A Case Study of Nagasaki Prefecture, Japan. International journal of environmental research and public health, 18(23), . https://doi.org/10.3390/ijerph182312818
Liu, Yiming, and Suk, Sunhee. "Coupling and Coordinating Relationship between Tourism Economy and Ecological Environment-A Case Study of Nagasaki Prefecture, Japan." International journal of environmental research and public health vol. 18,23 (2021). doi: https://doi.org/10.3390/ijerph182312818
Liu Y, Suk S. Coupling and Coordinating Relationship between Tourism Economy and Ecological Environment-A Case Study of Nagasaki Prefecture, Japan. Int J Environ Res Public Health. 2021 Dec 05;18(23). doi: 10.3390/ijerph182312818. PMID: 34886544; PMCID: PMC8657630.
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Showing 937 to 944 of 944 entries