Tag: spatial

Posted on

Single-cell spatial landscapes of the lung tumour immune microenvironment

  • Leader, A. M. et al. Single-cell analysis of human non-small cell lung cancer lesions refines tumor classification and patient stratification. Cancer Cell 39, 1594–1609.e12 (2021).

    Article 
    CAS 

    Google Scholar     

  • Melms, J. C. et al. A molecular single-cell lung atlas of lethal COVID-19. Nature 595, 114–119 (2021).

    Article 
    CAS 

    Google Scholar     

  • Marjanovic, N. D. et al. Emergence of a high-plasticity cell state during lung cancer evolution. Cancer Cell 38, 229–246.e13 (2020).

    Article 
    CAS 

    Google Scholar     

  • Zilionis, R. et al. Single-cell transcriptomics of human and mouse lung cancers reveals conserved myeloid populations across individuals and species. Immunity 50, 1317–1334.e10 (2019).

    Article 
    CAS 

    Google Scholar     

  • Liu, B. et al. Temporal single-cell tracing reveals clonal revival and expansion of precursor exhausted T cells during anti-PD-1 therapy in lung cancer. Nat. Cancer 3, 108–121 (2022).

    Article 
    CAS 

    Google Scholar     

  • Zheng, L. et al. Pan-cancer single-cell landscape of tumor-infiltrating T cells. Science 374, abe6474 (2021).

    Article 

    Google Scholar     

  • Cheng, S. et al. A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells. Cell 184, 792–809.e23 (2021).

    Article 
    CAS 

    Google Scholar     

  • Kumar, V. et al. Single-cell atlas of lineage states, tumor microenvironment, and subtype-specific expression programs in gastric cancer. Cancer Discov. 12, 670–691 (2022).

    Article 
    CAS 

    Google Scholar     

  • Zhang, Y. et al. Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response. Proc. Natl Acad. Sci. USA 118, e2103240118 (2021).

    Article 
    CAS 

    Google Scholar     

  • Siegel, R. L., Miller, K. D., Fuchs, H. E. & Jemal, A. Cancer statistics, 2021. CA Cancer J. Clin. 71, 7–33 (2021).

    Article 

    Google Scholar     

  • Gridelli, C. et al. Non-small-cell lung cancer. Nat. Rev. Dis. Primers 1, 15009 (2015).

    Article 

    Google Scholar     

  • Jackson, H. W. et al. The single-cell pathology landscape of breast cancer. Nature 578, 615–620 (2020).

    Article 
    CAS 

    Google Scholar     

  • Ali, H. R. et al. Imaging mass cytometry and multiplatform genomics define the phenogenomic landscape of breast cancer. Nat. Cancer 1, 163–175 (2020).

    Article 
    CAS 

    Google Scholar     

  • Schurch, C. M. et al. Coordinated cellular neighborhoods orchestrate antitumoral immunity at the colorectal cancer invasive front. Cell 182, 1341–1359.e19 (2020).

    Article 
    CAS 

    Google Scholar     

  • Tavernari, D. et al. Nongenetic evolution drives lung adenocarcinoma spatial heterogeneity and progression. Cancer Discov. 11, 1490–1507 (2021).

    Article 
    CAS 

    Google Scholar     

  • Casanova-Acebes, M. et al. Tissue-resident macrophages provide a pro-tumorigenic niche to early NSCLC cells. Nature 595, 578–584 (2021).

    Article 
    CAS 

    Google Scholar     

  • Welsh, T. J. et al. Macrophage and mast-cell invasion of tumor cell islets confers a marked survival advantage in non-small-cell lung cancer. J. Clin. Oncol. 23, 8959–8967 (2005).

    Article 

    Google Scholar     

  • Wu, P. et al. Inverse role of distinct subsets and distribution of macrophage in lung cancer prognosis: a meta-analysis. Oncotarget 7, 40451–40460 (2016).

    Article 

    Google Scholar     

  • Conforti, F. et al. Sex-based dimorphism of anticancer immune response and molecular mechanisms of immune evasion. Clin. Cancer Res. 27, 4311–4324 (2021).

    Article 
    CAS 

    Google Scholar     

  • Tong, B. C. et al. Sex differences in early outcomes after lung cancer resection: analysis of the Society of Thoracic Surgeons General Thoracic Database. J. Thorac. Cardiovasc. Surg. 148, 13–18 (2014).

    Article 

    Google Scholar     

  • International Early Lung Cancer Action Program Investigators. Women’s susceptibility to tobacco carcinogens and survival after diagnosis of lung cancer. JAMA 296, 180–184 (2006).

    Article 

    Google Scholar     

  • Weng, N. P. Aging of the immune system: how much can the adaptive immune system adapt? Immunity 24, 495–499 (2006).

    Article 
    CAS 

    Google Scholar     

  • Kugel, C. H. 3rd et al. Age correlates with response to anti-PD1, reflecting age-related differences in intratumoral effector and regulatory T-cell populations. Clin. Cancer Res. 24, 5347–5356 (2018).

    Article 
    CAS 

    Google Scholar     

  • Fane, M. & Weeraratna, A. T. How the ageing microenvironment influences tumour progression. Nat. Rev. Cancer 20, 89–106 (2020).

    Article 
    CAS 

    Google Scholar     

  • Yager, E. J. et al. Age-associated decline in T cell repertoire diversity leads to holes in the repertoire and impaired immunity to influenza virus. J. Exp. Med. 205, 711–723 (2008).

    Article 
    CAS 

    Google Scholar     

  • Szczerba, B. M. et al. Neutrophils escort circulating tumour cells to enable cell cycle progression. Nature 566, 553–557 (2019).

    Article 
    CAS 

    Google Scholar     

  • Saini, M., Szczerba, B. M. & Aceto, N. Circulating tumor cell–neutrophil tango along the metastatic process. Cancer Res. 79, 6067–6073 (2019).

    Article 
    CAS 

    Google Scholar     

  • Xu, L., Tavora, F. & Burke, A. Histologic features associated with metastatic potential in invasive adenocarcinomas of the lung. Am. J. Surg. Pathol. 37, 1100–1108 (2013).

    Article 

    Google Scholar     

  • Enfield, K. S. S. et al. Hyperspectral cell sociology reveals spatial tumor-immune cell interactions associated with lung cancer recurrence. J. Immunother. Cancer 7, 13 (2019).

    Article 

    Google Scholar     

  • Peranzoni, E. et al. Macrophages impede CD8 T cells from reaching tumor cells and limit the efficacy of anti-PD-1 treatment. Proc. Natl Acad. Sci. USA 115, E4041–E4050 (2018).

    Article 
    CAS 

    Google Scholar     

  • Schultze, J. L. et al. CD40-activated human B cells: an alternative source of highly efficient antigen presenting cells to generate autologous antigen-specific T cells for adoptive immunotherapy. J. Clin. Invest. 100, 2757–2765 (1997).

    Article 
    CAS 

    Google Scholar     

  • Folkman, J. Tumor angiogenesis: therapeutic implications. N. Engl. J. Med. 285, 1182–1186 (1971).

    Article 
    CAS 

    Google Scholar     

  • Noman, M. Z. et al. PD-L1 is a novel direct target of HIF-1α, and its blockade under hypoxia enhanced MDSC-mediated T cell activation. J. Exp. Med. 211, 781–790 (2014).

    Article 
    CAS 

    Google Scholar     

  • Chang, C. F. et al. Polar opposites: Erk direction of CD4 T cell subsets. J. Immunol. 189, 721–731 (2012).

    Article 
    CAS 

    Google Scholar     

  • He, K., Zhang, X., Ren, S. & Sun, J. Deep residual learning for image recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 770–778 (IEEE, 2016).

  • Deng, J. et al. ImageNet: a large-scale hierarchical image database. In 2009 IEEE Conference on Computer Vision and Pattern Recognition 248–255 (IEEE, 2009).

  • Ettinger, D. S. et al. Non-small cell lung cancer, version 3.2022, NCCN Clinical Practice Guidelines in Oncology. J. Natl Compr. Canc. Netw. 20, 497–530 (2022).

    Article 

    Google Scholar     

  • Pisters, K. et al. Cancer Care Ontario and American Society of Clinical Oncology adjuvant chemotherapy and adjuvant radiation therapy for stages I–IIIA resectable non small-cell lung cancer guideline. J. Clin. Oncol. 25, 5506–5518 (2007).

    Article 

    Google Scholar     

  • Martini, N. et al. Incidence of local recurrence and second primary tumors in resected stage I lung cancer. J. Thorac. Cardiovasc. Surg. 109, 120–129 (1995).

    Article 
    CAS 

    Google Scholar     

  • Felip, E. et al. Adjuvant atezolizumab after adjuvant chemotherapy in resected stage IB–IIIA non-small-cell lung cancer (IMpower010): a randomised, multicentre, open-label, phase 3 trial. Lancet 398, 1344–1357 (2021).

    Article 
    CAS 

    Google Scholar     

  • Wu, Y. L. et al. Osimertinib in resected EGFR-mutated non-small-cell lung cancer. N. Engl. J. Med. 383, 1711–1723 (2020).

    Article 
    CAS 

    Google Scholar     

  • Liudahl, S. M. et al. Leukocyte heterogeneity in pancreatic ductal adenocarcinoma: phenotypic and spatial features associated with clinical outcome. Cancer Discov. 11, 2014–2031 (2021).

    Article 

    Google Scholar     

  • Peng, H. et al. Profiling tumor immune microenvironment of non-small cell lung cancer using multiplex immunofluorescence. Front. Immunol. 12, 750046 (2021).

    Article 
    CAS 

    Google Scholar     

  • Ginhoux, F., Schultze, J. L., Murray, P. J., Ochando, J. & Biswas, S. K. New insights into the multidimensional concept of macrophage ontogeny, activation and function. Nat. Immunol. 17, 34–40 (2016).

    Article 
    CAS 

    Google Scholar     

  • Murray, P. J. et al. Macrophage activation and polarization: nomenclature and experimental guidelines. Immunity 41, 14–20 (2014).

    Article 
    CAS 

    Google Scholar     

  • Vassilvitskii, S. & Arthur, D. in SODA ’07: Proc. 18th Annual ACM–SIAM Symposium on Discrete Algorithms, 1027–1035 (Society for Industrial and Applied Mathematics, 2007).

  • MacLahlan, G. & Peel, D. Finite Mixture Models (John Wiley & Sons, 2000).

    • Posted on

    Robert Gerard Pietrusko on landscape design, spatial modeling, and conspiracy theories

    This semester, Robert Gerard Pietrusko joined the standing faculty of the Division of Landscape Architecture as an associate professor, next a ten years on the landscape architecture school at the Harvard Graduate University of Style. His style and design operate, which is manufactured underneath the identify of his studio, WARNING Office environment, has been exhibited in more than 15 nations around the world, and he is a fellow at the American Academy in Rome in 2021.

    Person standing in front of two giant panels of film projected on the wall of NASA footage of a storm on planet Earth.
    Nevertheless from In Simple Sight, a geospatial documentary that critiques the NASA “night lights” dataset and reveals spots with lights and no people, and spots with populations living in the dim. (Graphic: Weitzman News)

    This semester he is teaching a landscape architecture studio named Conspiracy as Method, which looks at a selection of all-natural disasters that have been attributed to local climate adjust, like the Working day Zero water disaster in Cape City, South Africa in 2018.

    “I’ve been engaged in a larger sized investigation undertaking more than the past two or a few several years about conspiracy theories as a type of planet constructing,” Pietrusko states. “When arguing that there are concealed actors taking care of the earth, they are imagining intricate and often incredibly clever connections.”

    He explains his comprehending of conspiracy theorists as a type of collective cosmology. “When conspiracy theorists visualize, with cynicism, that there are all these key institutions and actors that collectively regulate the environment, effectively, that’s really a somewhat optimistic check out of what society is able of. Do we as designers have this very same optimism? Hoping that we might, I took all of these pieces as prompts to inquire: Can we discover the marriage between layout imagining and conspiratorial reasoning to, in a favourable way, envision how the entire world could be ruled in the facial area of weather alter?”

    Peitrusko is also section of the recently-formed Environmental Modeling Lab (EMLab) at The Ian L. McHarg Heart for Urbanism and Ecology.

    “The do the job that we have chat about so considerably have been about the partnership among media, info, and storytelling. But aspect of that is also the use of modeling. … The relationship between styles and what they correspond to is very unsure. In that hole, there are an infinite variety of stories we can convey to about the meaning of facts and how they allows us think about the long run. I’m actually psyched about that prospective.”

    In Basic Sight (2018) was provided in Styles for Diverse Futures at the Philadelphia Museum of Art. “It has constantly struck me that it is impossible to assume about world-wide citizenship outdoors of the representations of the globe, so the piece starts by seeking at various representations of the globe and how these connect to narratives of citizenship,” he claims. “It commences with the Blue Marble and how that supports narratives of Spaceship Earth and world stewardship. This is then compared with NASA’s nighttime lights imagery which seems to guidance neoliberal narratives of borderless, frictionless, free of charge-flowing intercourse all over the planet. The piece experimented with to problem that narrative.”

    Go through a lot more at Weitzman News.

    Posted on

    Desertification risk fuels spatial polarization in ‘affected’ and ‘unaffected’ landscapes in Italy

  • 1.

    Fernandez, R. J. Do humans create deserts?. Trends Ecol. Evol. 17, 6–7 (2002).


    Google Scholar     

  • 2.

    Geist, H. J. & Lambin, E. F. Dynamic causal patterns of desertification. Bioscience 54(9), 817–829 (2004).


    Google Scholar     

  • 3.

    Imeson, A. Desertification, Land Degradation and Sustainability (Routledge, 2012).


    Google Scholar     

  • 4.

    Romm, J. Desertification: The next dust bowl. Nature 478, 450–451 (2011).

    ADS 
    CAS 
    PubMed 

    Google Scholar     

  • 5.

    Portnov, B. A. & Safriel, U. N. Combating desertification in the Negev: Dryland agriculture vs. dryland urbanization. J. Arid Environ. 56, 659–680 (2004).

    ADS 

    Google Scholar     

  • 6.

    Salvati, L., Bajocco, S., Ceccarelli, T., Zitti, M. & Perini, L. Towards a process-based evaluation of land vulnerability to soil degradation in Italy. Ecol. Ind. 11(5), 1216–1227 (2011).

    CAS 

    Google Scholar     

  • 7.

    Santini, M., Caccamo, G., Laurenti, A., Noce, S. & Valentini, R. A multi-model GIS framework for desertification risk assessment. Appl. Geogr. 30(3), 394–415 (2010).


    Google Scholar     

  • 8.

    Bajocco, S., Salvati, L. & Ricotta, C. Land degradation vs. Fire: A spiral process?. Prog. Phys. Geogr. 35(1), 3–18 (2011).


    Google Scholar     

  • 9.

    Incerti, G., Feoli, E., Salvati, L., Brunetti, A. & Giovacchini, A. Analysis of bioclimatic time series and their neural network-based classification to characterise drought risk patterns in South Italy. Int. J. Biometeorol. 51(4), 253–263 (2007).

    ADS 
    CAS 
    PubMed 

    Google Scholar     

  • 10.

    Salvati, L., Perini, L., Sabbi, A. & Bajocco, S. Climate Aridity and land use changes: A regional-scale analysis. Geogr. Res. 50(2), 193–203 (2012).


    Google Scholar     

  • 11.

    Coluzzi, R. et al. Investigating climate variability and long-term vegetation activity across heterogeneous Basilicata agroecosystems. Geomat. Nat. Haz. Risk 10(1), 168–180 (2019).


    Google Scholar     

  • 12.

    Imbrenda, V. et al. Analysis of landscape evolution in a vulnerable coastal area under natural and human pressure. Geomat. Nat. Haz. Risk 9(1), 1249–1279 (2018).


    Google Scholar     

  • 13.

    Imbrenda, V. et al. Land degradation and metropolitan expansion in a peri-urban environment. Geomat. Nat. Haz. Risk 12(1), 1797–1818 (2021).


    Google Scholar     

  • 14.

    Kairis, O., Karavitis, C., Kounalaki, A., Salvati, L. & Kosmas, C. The effect of land management practices on soil erosion and land desertification in an olive grove. Soil Use Manag. 29(4), 597–606 (2013).


    Google Scholar     

  • 15.

    Kairis, O., Karavitis, C., Salvati, L., Kounalaki, A. & Kosmas, K. Exploring the impact of overgrazing on soil erosion and land degradation in a dry Mediterranean agro-forest landscape (Crete, Greece). Arid Land Res. Manag. 29(3), 360–374 (2015).


    Google Scholar     

  • 16.

    Karamesouti, M. et al. Land-use and land degradation processes affecting soil resources: Evidence from a traditional Mediterranean cropland (Greece). CATENA 132, 45–55 (2015).


    Google Scholar     

  • 17.

    Kosmas, C. et al. Land degradation and long-term changes in agro-pastoral systems: An empirical analysis of ecological resilience in Asteroussia-Crete (Greece). CATENA 147, 196–204 (2016).


    Google Scholar     

  • 18.

    Jongman, R. H. G. Homogenisation and fragmentation of the European landscape: Ecological consequences and solutions. Landsc. Urban Plan. 58(2), 211–221 (2002).


    Google Scholar     

  • 19.

    Lavado Contador, J. F., Schnabel, S., Gomez Gutierrez, A. & Pulido Fernandez, M. Mapping sensitivity to land degradation in Extremadura, SW Spain. Land Degrad. Dev. 20(2), 129–144 (2009).


    Google Scholar     

  • 20.

    Otto, R., Krusi, B. O. & Kienast, F. Degradation of an arid coastal landscape in relation to land use changes in southern Tenerife (Canary Islands). J. Arid Environ. 70, 527–539 (2007).

    ADS 

    Google Scholar     

  • 21.

    Braje, T. J., Leppard, T. P., Fitzpatrick, S. M. & Erlandson, J. M. Archaeology, historical ecology and anthropogenic island ecosystems. Environ. Conserv. 44(3), 286–297 (2017).


    Google Scholar     

  • 22.

    Rick, T., Ontiveros, M. Á. C., Jerardino, A., Mariotti, A., Méndez, C. & Williams, A. N. Human-environmental interactions in Mediterranean climate regions from the Pleistocene to the Anthropocene. Anthropocene, 100253 (2020).

  • 23.

    Bajocco, S., Ceccarelli, T., Smiraglia, D., Salvati, L. & Ricotta, C. Modeling the ecological niche of long-term land use changes: The role of biophysical factors. Ecol. Ind. 60, 231–236 (2016).


    Google Scholar     

  • 24.

    Antrop, M. Landscape change and the urbanization process in Europe. Landsc. Urban Plan. 67(1), 9–26 (2004).


    Google Scholar     

  • 25.

    Bakra, N., Weindorf, D. C., Bahnassy, M. H. & El-Badawi, M. M. Multi-temporal assessment of land sensitivity to desertification in a fragile agro-ecosystem: Environmental indicators. Ecol. Ind. 15(1), 271–280 (2012).


    Google Scholar     

  • 26.

    Pacheco, F. A. L., Fernandes, L. F. S., Junior, R. F. V., Valera, C. A. & Pissarra, T. C. T. Land degradation: Multiple environmental consequences and routes to neutrality. Curr. Opin. Environ. Sci. Health 5, 79–86 (2018).


    Google Scholar     

  • 27.

    Gomes, E. et al. Agricultural land fragmentation analysis in a peri-urban context: From the past into the future. Ecol. Ind. 97, 380–388 (2019).


    Google Scholar     

  • 28.

    Gulcin, D. & Yilmaz, K. T. The assessment of landscape fragmentation in an agricultural environment: Degradation or contribution to ecosystem services?. Fresenius Environ. Bull. 25(12), 7941–7950 (2017).


    Google Scholar     

  • 29.

    Pili, S., Grigoriadis, E., Carlucci, M., Clemente, M. & Salvati, L. Towards sustainable growth? A multi-criteria assessment of (changing) urban forms. Ecol. Ind. 76, 71–80 (2017).


    Google Scholar     

  • 30.

    Haddad, N. M., Brudvig, L. A. & Clobert, J. Habitat fragmentation and its lasting impact on Earth’s ecosystems. Sci. Adv. 1(2), 1–9 (2015).


    Google Scholar     

  • 31.

    Kouba, Y., Gartzia, M., El Aich, A. & Alados, C. L. Deserts do not advance, they are created: Land degradation and desertification in semiarid environments in the Middle Atlas, Morocco. J. Arid Environ. 158, 1–8 (2018).

    ADS 

    Google Scholar     

  • 32.

    Nagendra, H., Munroe, D. K. & Southworth, J. From pattern to process: Landscape fragmentation and the analysis of land use/land cover change. Agric. Ecosyst. Environ. 101(2), 111–115 (2004).


    Google Scholar     

  • 33.

    Lin, Y., Han, G., Zhao, M. & Chang, S. X. Spatial vegetation patterns as early signs of desertification: A case study of a desert steppe in Inner Mongolia, China. Landsc. Ecol. 25(10), 1519–1527 (2010).


    Google Scholar     

  • 34.

    Kéfi, S. et al. Spatial vegetation patterns and imminent desertification in Mediterranean arid ecosystems. Nature 449(7159), 213–217 (2007).

    ADS 
    PubMed 

    Google Scholar     

  • 35.

    Girvetz, E. H., Thorne, J. H., Berry, A. M. & Jaeger, J. A. Integration of landscape fragmentation analysis into regional planning: A statewide multi-scale case study from California, USA. Landsc. Urban Plan. 86(3), 205–218 (2008).


    Google Scholar     

  • 36.

    Hargis, C. D., Bissonette, J. A. & David, J. L. The behavior of landscape metrics commonly used in the study of habitat fragmentation. Landsc. Ecol. 13(3), 167–186 (1998).


    Google Scholar     

  • 37.

    Llausàs, A. & Nogué, J. Indicators of landscape fragmentation: The case for combining ecological indices and the perceptive approach. Ecol. Ind. 15(1), 85–91 (2012).


    Google Scholar     

  • 38.

    Salvati, L. & Zitti, M. The environmental “risky” region: Identifying land degradation processes through integration of socio-economic and ecological indicators in a multivariate regionalization model. Environ. Manage. 44(5), 888 (2009).

    ADS 
    PubMed 

    Google Scholar     

  • 39.

    Ferrara, A. et al. Updating the MEDALUS-ESA framework for worldwide land degradation and desertification assessment. Land Degrad. Dev. 31(12), 1593–1607 (2020).


    Google Scholar     

  • 40.

    Delfanti, L. et al. Solar plants, environmental degradation and local socioeconomic contexts: A case study in a Mediterranean country. Environ. Impact Assess. Rev. 61, 88–93 (2016).


    Google Scholar     

  • 41.

    Cowie, A. L. et al. Land in balance: The scientific conceptual framework for Land Degradation Neutrality. Environ. Sci. Policy 79, 25–35 (2018).


    Google Scholar     

  • 42.

    Lanfredi, M. et al. A geostatistics-assisted approach to the deterministic approximation of climate data. Environ. Model. Softw. 66, 69–77 (2015).


    Google Scholar     

  • 43.

    Coluzzi, R. et al. Density matters? Settlement expansion and land degradation in Peri-urban and rural districts of Italy. Environ. Impact Assess. Rev. 92, 106703 (2022).


    Google Scholar     

  • 44.

    Xie, H., Zhang, Y., Wu, Z. & Lv, T. A bibliometric analysis on land degradation: Current status, development, and future directions. Land 9(1), 28 (2020).


    Google Scholar     

  • 45.

    Ferrara, A., Salvati, L., Sateriano, A. & Nolè, A. Performance evaluation and costs assessment of a key indicator system to monitor desertification vulnerability. Ecol. Ind. 23, 123–129 (2012).


    Google Scholar     

  • 46.

    Salvati, L. From simplicity to complexity: The changing geography of land vulnerability to degradation in Italy. Geogr. Res. 51(3), 318–328 (2013).


    Google Scholar     

  • 47.

    Salvati, L. et al. Italy’s renewable water resources as estimated on the basis of the monthly water balance. Irrig. Drain. J. Int. Commiss. Irrig. Drain. 57(5), 507–515 (2008).


    Google Scholar     

  • 48.

    Salvati, L. et al. Assessing the effectiveness of sustainable land management policies for combating desertification: A data mining approach. J. Environ. Manage. 183, 754–762 (2016).

    CAS 
    PubMed 

    Google Scholar     

  • 49.

    Recanatesi, F. et al. A fifty-year sustainability assessment of Italian agro-forest districts. Sustainability 8(1), 32 (2016).


    Google Scholar     

  • 50.

    Bajocco, S., De Angelis, A. & Salvati, L. A satellite-based green index as a proxy for vegetation cover quality in a Mediterranean region. Ecol. Ind. 23, 578–587 (2012).


    Google Scholar     

  • 51.

    Smiraglia, D. et al. The latent relationship between soil vulnerability to degradation and land fragmentation: A statistical analysis of landscape metrics in Italy, 1960–2010. Environ. Manage. 64(2), 154–165 (2019).

    ADS 
    PubMed 

    Google Scholar     

  • 52.

    Smiraglia, D., Ceccarelli, T., Bajocco, S., Salvati, L. & Perini, L. Linking trajectories of land change, land degradation processes and ecosystem services. Environ. Res. 147, 590–600 (2016).

    CAS 
    PubMed 

    Google Scholar     

  • 53.

    Zambon, I., Benedetti, A., Ferrara, C. & Salvati, L. Soil matters? A multivariate analysis of socioeconomic constraints to urban expansion in Mediterranean Europe. Ecol. Econ. 146, 173–183 (2018).


    Google Scholar     

  • 54.

    Zambon, I. et al. Land quality, sustainable development and environmental degradation in agricultural districts: A computational approach based on entropy indexes. Environ. Impact Assess. Rev. 64, 37–46 (2017).


    Google Scholar     

  • 55.

    Basso, B. et al. Evaluating responses to land degradation mitigation measures in Southern Italy. Int. J. Environ. Res. 6(2), 367–380 (2012).


    Google Scholar     

  • 56.

    Salvati, L. & Zitti, M. Land degradation in the Mediterranean Basin: Linking bio-physical and economic factors into an ecological perspective. Biota 6, 67–77 (2005).


    Google Scholar     

  • 57.

    Qi, Y. et al. Temporal-spatial variability of desertification in an agro-pastoral transitional zone of northern Shaanxi Province, China. CATENA 88(1), 37–45 (2012).


    Google Scholar     

  • 58.

    Sklenicka, P. Classification of farmland ownership fragmentation as a cause of land degradation: A review on typology, consequences, and remedies. Land Use Policy 57, 694–701 (2016).


    Google Scholar     

  • 59.

    Vos, W. & Meekes, H. Trends in European cultural landscape development: Perspectives for a sustainable future. Landsc. Urban Plan. 46(1), 3–14 (1999).


    Google Scholar     

  • 60.

    Mao, D. et al. Land degradation and restoration in the arid and semiarid zones of China: Quantified evidence and implications from satellites. Land Degrad. Dev. 29(11), 3841–3851 (2018).


    Google Scholar     

  • 61.

    Symeonakis, E., Calvo-Cases, A. & Arnau-Rosalen, E. Land use change and land degradation in southeastern Mediterranean Spain. Environ. Manage. 40(1), 80–94 (2007).

    ADS 
    PubMed 

    Google Scholar     

  • 62.

    Ibanez, J., Martinez Valderrama, J. & Puigdefabregas, J. Assessing desertification risk using system stability condition analysis. Ecol. Model. 213, 180–190 (2008).


    Google Scholar     

  • 63.

    Hill, J., Stellmes, M., Udelhoven, T., Röder, A. & Sommer, S. Mediterranean desertification and land degradation: Mapping related land use change syndromes based on satellite observations. Global Planet. Change 64(3), 146–157 (2008).

    ADS 

    Google Scholar     

  • 64.

    Sommer, S. et al. Application of indicator systems for monitoring and assessment of desertification from national to global scales. Land Degrad. Dev. 22(2), 184–197 (2011).


    Google Scholar     

  • 65.

    Vogt, J. V. et al. Monitoring and Assessment of Land Degradation and Desertification: Towards new conceptual and integrated approaches. Land Degrad. Dev. 22(2), 150–165 (2011).


    Google Scholar     

  • 66.

    Scarascia, M. V., Battista, F. D. & Salvati, L. Water resources in Italy: Availability and agricultural uses. Irrig. Drain. J. Int. Commiss. Irrig. Drain. 55(2), 115–127 (2006).


    Google Scholar     

  • 67.

    Wang, H., Yuan, H., Xu, X. & Liu, S. Landscape structure of desertification grassland in source region of Yellow River. J. Appl. Ecol. 17(9), 1665–1670 (2006).


    Google Scholar     

  • 68.

    Wang, J. et al. Spatio-temporal pattern of land degradation from 1990 to 2015 in Mongolia. Environ. Dev. 34, 100497 (2020).


    Google Scholar     

  • 69.

    Briassoulis, H. Governing desertification in Mediterranean Europe: The challenge of environmental policy integration in multi-level governance contexts. Land Degrad. Dev. 22(3), 313–325 (2011).


    Google Scholar     

  • 70.

    Juntti, M. & Wilson, G. A. Conceptualising desertification in Southern Europe: Stakeholder interpretations and multiple policy agendas. Eur. Environ. 15, 228–249 (2005).


    Google Scholar     

  • 71.

    Gisladottir, G. & Stocking, M. Land degradation control and its global environmental benefits. Land Degrad. Dev. 16, 99–112 (2005).


    Google Scholar