Systematic Planning Research Articles

Digital Transformation Strategies for Enterprises - An Case Study of the Traditional Retail Industry

Against the background of rapid changes in science and technology and the rapid development of the digital economy, the market landscape is going through unprecedented and profound changes, consumer preferences becoming more and more personalized and diversified, while the e-commerce sector has shown a vigorous development trend. More and more traditional retail companies realize that digital transformation has become an unavoidable trend under competitive pressure. How traditional retail companies can establish a competitive and adaptable business model through digital technology is an urgent problem that needs to be solved nowadays, but many companies have no clear idea about it and lack systematic digital transformation plans. This paper analyses the current situation of traditional retail enterprises and the dilemma of digital transformation. It puts forward suggestions for digital transformation strategies, hoping to help retail enterprises understand and cope with the challenges of digital transformation, enrich the ideas of digital transformation at the theoretical level, and provide references for traditional retail enterprises that are undergoing digital transformation.

A dosimetric and robustness analysis of proton arc therapy with early energy layer and spot assignment for lung cancer versus conventional intensity modulated proton therapy.

Intensity Modulated Proton Therapy (IMPT) faces challenges in lung cancer treatment, like maintaining plan robustness for moving tumors against setup, range errors, and interplay effects. Proton Arc Therapy (PAT) is an alternative to maintain target coverage, potentially improving organ at risk (OAR) sparing, reducing beam delivery time (BDT), and enhancing patient experience. We aim to perform a systematic plan comparison study between IMPT and energy layer (EL) and spot assignment algorithm - Proton Arc Therapy (ELSA-PAT) to assess its potential for lung cancer treatment. A total of 14 Lung ELSA-PAT plans were compared retrospectively with IMPT plans. 4D worst-case minimax robust optimization was performed, including 84 scenarios (3%, 3 mm). Dosimetry assessment included target (clinical tumor volume [CTV]) and important OARs, on nominal and worst-case scenarios. Most relevant normal tissue complication probabilities (NTCP), target coverage robustness against interplay effect, and BDT were evaluated. CTV D95% and D98% showed no significant difference in comparison. PAT demonstrated better conformality by 66% (p = 0.00012) but delivered a higher heart mean dose (HMD, 23%). There was a 2% increase in NTCP 2-year mortality risk with PAT. Total BDT was comparable among techniques. IMPT was more robust than PAT against interplay effect, considering both D1% (1.0 ± 0.8 Gy vs 1.1 ± 1.4 Gy) and D98% bandwidths (0.9 ± 0.9 Gy vs 1.1 ± 1.3 Gy). Both techniques provide a similar level of dose coverage to the target volume. Although PAT improved dose conformality, higher HMD translated into increased heart toxicity, presumably due to chosen planning methodology and OAR proximity to target. Increased ELs and spots raised PAT BDT, although it could improve daily treatment workflow.

Voices of Elementary Computer Science Teachers: Computer Science Integration Rationales and Practices

Objectives . Computer Science (CS) education has become increasingly prevalent in elementary schools because of multiple rationales, such as the importance of computational literacy and the growing demand for CS-related workforce preparation. As elementary CS standards continue to be adopted by many states, more examples and voices from the field may help educators understand what effective computational thinking (CT)/CS integration looks like in practice. Method . We employed a descriptive qualitative approach to study eight award-winning K-8 CS teachers and aimed to answer three research questions: (1) What were elementary CS teachers’ rationales for CT/CS integration? (2) How do elementary CS teachers integrate CT/CS into their classroom practices? (3) What are the needs of CS teachers for meaningful CT/CS integration in elementary schools? Data were collected through interviews, a questionnaire, and artifacts and analyzed using thematic analysis. Findings . Our findings of elementary CS teachers’ rationales for CT/CS integration encompassed its essential nature as a literacy skill, its potential to promote equity in education, and its alignment with standards across various disciplines. To support CT/CS integration at the elementary level, CS teachers described important aspects with examples from their instructional practices: (a) Real-world applications; (b) hands-on activities; (c) strategies to scaffold and guide student learning; (d) collaboration with classroom teachers; and (e) support from professional development (PD). Conclusion . The study results shared CS teachers’ voices from practice and shed light on the urgent need for more support and PD opportunities for both homeroom teachers and CS teachers in elementary schools, as well as the crucial need for multiple levels of support within K-12 school systems. Continuous efforts in creating systematic and sustainable PD plans and supporting collaborative professional communities for teachers within the instructional context are a must to help prepare our elementary students with the essential CS knowledge and skills they need to thrive in this technology-rich society.

Identifying complementary conservation and restoration priority areas for plant species

The coverage of protected areas (PAs) remains far from the Kunming-Montreal target and degraded ecosystems are greatly limiting the conservation efficiency of PAs. Therefore, this paper proposes a method to identify conservation and restoration priority areas to supplement existing PAs. A case study was conducted focusing on Yunnan, southwestern China, which intersects with three world biodiversity hotspots. First, the spatial ranges for 3768 representative conservation plant species were mapped using species distribution models. Subsequently, planning units were classified into three restorability categories, namely no-need restoration, potentially restorable and non-restorable units, according to land cover changes between 2000 and 2020. Then, conservation and restoration priority areas were identified by applying a two-step systematic conservation planning process. Finally, replacement cost analysis was applied to compare the effectiveness of existing PAs and the overall 30 % priority areas. Northwestern, southwestern, and southeastern Yunnan have high biodiversity conservation values. Especially in eastern and southeastern Yunnan, large amounts of restoration priority areas were identified. Conservation and restoration priority areas account for 15.80 % and 3.69 % of Yunnan's land, respectively. Compared to existing PAs, conservation priority areas can increase the number of species covered from 2461 to 3277, and further to 3566 when including restoration priority areas. Compared to existing PAs, the mean species coverage in the overall 30 % priority areas has increased from 27.28 % to 72.69 %. Notably, 12.86 % of existing PAs were identified as restoration priority areas. This study indicates that in addition to conservation measures, implementing restoration strategies in high conservation-value areas is equally important.

A systematic literature review and plans for further study on smart mobile learning system acceptance

This paper’s aim is to conduct a systematic review of the state of scholarly research on smart mobile learning acceptance (SMLS) and suggest areas for future research. Fifty-five papers from 2019 to 2022 were used for the systematic literature review. The theories of the SMLS acceptance, publication patterns by region, industry, sample type, as well as the study methodology obtained from content analysis are presented. The results revealed about 18 different theories were identified with TAM being the most frequently employed model (n = 23). Three different methods (quantitative, qualitative and mixed-method) were used by the scholars, with questionnaire survey being the main method used to collect data (n = 50). Most of the researchers used structural equation modelling (SEM) to analyse their data. The Asian region has the most studies on SMLS (n = 33), while the education industry happens to be the main focus of the researchers (n = 45). This study's findings may be utilized to enrich theoretical and methodological advancements, as well as to provide important insights for policy creation by developing strategies and frameworks for the acceptance of SMLS. By putting all the relevant knowledge of SMLS together from diverse industries, this study enhances the academic landscape.

Low availability of haematin (hemin) in Pakistan

Madam, Acute Intermittent Porphyria (AIP) is an autosomal dominant disorder that results from a defect in the enzyme named porphobilinogen deaminase.1 It is symptomatic porphyria, involving the accumulation of porphyrins and porphyrin precursors due to impaired conversion in haeme synthesis. Acute Intermittent Porphyria is clinically characterized by acute episodes of multiple gastrointestinal and neurologic symptoms; during which the patient remains healthy between episodes.2 Acute Intermittent Porphyria episodes are commonly observed in post pubertal females. The most common symptoms include periodic abdominal pain, vomiting and hypertension followed by neurologic damage that leads to peripheral and autonomic neuropathies (mostly motor) and psychiatric manifestations.2 Hormonal cycle regulation may worsen porphyria, since its symptoms coincide with the menstrual cycle. Although positive response has been noted in hormonal suppression by gonadotropin releasing hormone agonists.3 Currently, the most widely used treatment is hemin, a form of haeme that can be given intravenously. Its administration reduces the haeme deficit, hence limits the production of porphyrins precursors by the body. Availability of hemin in Pakistan is not promising while alternatives such as intravenous infusion of glucose, and pain relievers like Nalbuphine, a man-made opioid analgesic, and Morphine are short-term treatments. Haeme Arginate (HA), a compound of haeme and arginine, is equivalent to hematin in the treatment of AIP. Long-term weekly intravenous infusions of prophylactic HA prevent severity and frequency of porphyric attacks in patients with AIP.4 While haeme therapy is recommended if a patient exhibits neurological impairment, liver transplant appears to be the last resort in patients with recurrent clinical manifestations. To effectively mediate the growing need of Hemin in Pakistan, a systematic plan with effective and immediate steps must be introduced. The regulatory authorities must expedite the approval and licensing process of appropriate medication that would meet the growing need of the country, while not compromising on its quality. The possibility of local production should be explored, while strengthening international ties aimed at importing affordable medication. The government should focus on initiating partnerships with international organizations, non-governmental organizations (NGOs) and global health initiatives. Nationwide workshops and informative campaigns towards healthcare work should be a priority, to raise awareness of the situation and the proper steps that should be taken to minimize its adverse effects. Empowering patient advocacy groups would be beneficial in recognizing any shortcomings of the plan and to divert resources accordingly.

Introducing A Conservation-Based Learning Model to Build Student Creativity Through Conservation Values as an Effort to Preserve Biodiversity In SDG's

Objective: This study aims to determine the implementation of the Conservation-Based Learning (CBL) model and its effect on creative behaviour through conservation values obtained by students through learning. Theoretical Framework: The CBL model is built on the premise that addressing the negative impacts of biodiversity loss requires behaviour change. While behaviour must be built through knowledge that fosters values. A learning model that is able to build Conservation Values (CV) and Conservation Behaviour (CB) will have a significant role in conserving biodiversity as specified in the SDG's. Method: The research involved 127 secondary school students used SmartPLS and PLS-Graph version 3.0 to analyse the relationships and effects of two syntaxes in the CBL model: Value Clarification (VC) and Systematic Action Planning (SAP). These syntaxes were tested for their impact on developing students' Conservation Values CV and Conservation Behaviour CB. Result and Discussion: The findings reveal that all variables examined in the study, including CV, CB, VC, and SAP, have positive and significant relationships. The implementation of the CBL model successfully enhances students' understanding of biodiversity and conservation values while promoting actionable conservation behaviour. Research Implication: The application of CBL model in learning successfully builds students' values and creative conservation behaviour. This has important implications for efforts to conserve biodiversity through the younger generation as expected in the SDG's. Originality/Value: This research introduces a new approach to achieve the SDG’s in conserving biodiversity (SDG-14, SDG-15) through quality education (SDG's-4). The CBL model has the potential to build the conservation values and behaviours of future generations.

Strengths and complementarity of systematic conservation planning and key biodiversity area approaches for spatial planning.

Developing biodiversity-inclusive spatial plans at a national level is the focus of Target 1 of the Kunming-Montreal Global Biodiversity Framework (KMGBF). There are 2 general approaches to identifying areas of value for biodiversity plans: criteria-based, such as the Key Biodiversity Areas (KBA) process, and systematic conservation planning (SCP) approaches, which apply complementarity to efficiently achieve specific quantitative targets. We examined the benefits of both approaches and considered how the KBA approach can best complement SCP. We reviewed 200 papers articles that applied SCP to real-world data with the Marxan conservation design software. Our review showed that targets for biodiversity elements are poorly selected in many SCP publications, with more than 75% of the studies applying uniform percentage target amounts to planning elements. Uniform targets favor more widespread species and ecosystems that are likely to be more common and less important for conservation. The strengths and complementarities of KBA and SCP approaches were reviewed and we identified the elements from both approaches that should be considered for spatial planning to achieve Target 1 in the KMGBF. In particular, the global approach of KBAs (i.e., identifying sites of global significance for species or ecosystems) better complements SCP, which often has a national or subnational focus. The KMGBF will fail if conservation of globally significant sites is not targeted and these sites are not incorporated in national spatial planning.

Simulation of lunar soil compressive strength performance test based on grey correlation analysis

Detecting water ice in the permanent shadow area of the lunar south pole is an important task of China's Chang'e-7. For this purpose, a simulation study was carried out under the earth environment, and a test sample of polar water-containing simulated lunar soil was prepared. The mechanical properties of the lunar soil simulant were tested under ultra-low temperature conditions, and the changes in water content, relative density, temperature, loading rate, and base material ratio with compressive strength were analyzed. The results show that the compressive strength of the frozen lunar soil simulant increases with the increase of water content, increases with the increase of density, and increases with the decrease of temperature. It is less affected by the change of loading rate. The order of compressive strength affected by different base material ratios is: 100%anorthosite, <90%anorthosite, +10%basalt <70%, +30%anorthosite <100%, basalt, lunar soil simulant. Finally, the correlation between the basic physical properties of lunar soil simulant such as water content, relative density, temperature, loading rate, and ratio and compressive strength is explored through grey correlation analysis. The correlation order is: water content> density> temperature> ratio> loading rate. This paper prepared and tested the mechanical properties of hydrated lunar soil, and proposed a more systematic and standardized implementation plan. It serves as the basis for studying the properties of hydrated lunar soil in the polar region, and provides a theoretical basis and reference for subsequent lunar soil simulation research.

Stochastic optimal allocation of grid-side independent energy storage considering energy storage participating in multi-market trading operation

The integration of large-scale intermittent renewable energy generation into the power grid imposes challenges to the secure and economic operation of the system, and energy storage (ES) can effectively mitigate this problem as a flexible resource. However, the conventional ES allocation is mostly planned to meet the regulation demands of individual entities, which is likely to result in low utilization of ES and difficult to recover the investment cost. Therefore, a two-stage stochastic optimal allocation model for grid-side independent ES (IES) considering ES participating in the operation of multi-market trading, such as peak-valley arbitrage, frequency regulation, and leasing, is proposed in this paper to improve the comprehensive benefits and utilization rate of ES. The first stage aims to allocate IES and develop a systematic scheduling plan based on the forecast of wind power output and load demand, while the second stage responds to the uncertainty of wind power output by re-dispatching generating units and invoking ES power leased by wind farms. Then, a two-layer loop iterative solution algorithm based on the Benders decomposition is formed to effectively solve the proposed model. Finally, the approach developed in this paper is applied to a modified IEEE RTS-79 test system, and the results verify that it is both feasible and effective.

A Robust Human–Machine Framework for Project Portfolio Selection

Based on the project portfolio selection and scheduling problem (PPSS), the development of a systematic and scientific project scheduling plan necessitates comprehensive consideration of individual preferences and multiple realistic constraints, rendering it an NP-hard problem. Simultaneously, accurately and swiftly evaluating the value of projects as a complex entity poses a challenging issue that requires urgent attention. This paper introduces a novel qualitative evaluation-based project value assessment process that significantly reduces the cost and complexity of project value assessment, upon which a preference-based deep reinforcement learning method is presented for computing and solving project subsets and time scheduling plans. This paper first determines the key parameter values of the algorithm through specific examples. Then, using the method of controlling variables, it explores the sensitivity of the algorithm to changes in problem size and dimensionality. Finally, the proposed algorithm is compared with two classical algorithms and two heuristic algorithms across different instances. The experimental results demonstrate that the proposed algorithm exhibits higher effectiveness and accuracy.

Cost, risk, landscape context, and potential treatments vary with biological value for conservation of declining grassland birds

AbstractSpatially explicit models are an important component of systematic conservation planning, enabling the depiction of biodiversity metrics across landscapes and objective evaluation of candidate sites for conservation delivery. However, sites considered “best” for conservation are typically viewed from the standpoint of biological value and may not be the most effective or efficient when risk of habitat loss, cost of conservation, intended conservation treatments, and overall conservation strategy are considered. We evaluated risk of habitat loss, land cost, and landscape context for geographic areas harboring most‐dense to least‐dense population quartiles for 16 species of grassland birds in the US northern Great Plains. Differences in land cost, risk of grassland conversion, and landscape context among quartiles and species indicated that a minimum‐area strategy may be inefficient and even ineffective. Priority zones for western species were generally associated with lower agricultural land cost, more protected land, and landscape characteristics associated with intact grasslands; eastern species were generally associated with higher agricultural land cost, tillage probability, grass loss, cropland, development, forest, Conservation Reserve Program grasslands, and distance to grass. Our results indicate that addressing areas outside of population cores increases conservation options and may provide substantial benefits to portions of populations that are most vulnerable to habitat loss or other stressors.

Thermal management for the prismatic lithium-ion battery pack by immersion cooling with Fluorinated liquid

This study constructs a novel FS49-based battery thermal management system (BTMS), proposing an optimization method for the system energy density and an indirect control method for the system cooling capacity. The boiling of dielectric refrigerant occurred at the battery surface, which provided strong and uniform cooling for each battery cell. The results show that the peak temperature difference of liquid immersion cooling (LIC) module during 1C rate discharging and charging was reduced by 91.3% and 94.44%, respectively, compared to the natural convection (NC) module. The reduction of temperature nonuniformity greatly reduced the state of charge (SOC) inhomogeneity of different cells within the module. Moreover, the energy density of LIC module can be optimized by reducing the cell spacing and liquid filling ratio. Comparing with 100% filling rate, the module maximum temperature corresponding to 25% filling rate (with wick) during 2C rate discharging is only increased by 1.6℃, however, the module peak temperature difference is reduced by 53.3%, and the energy density is increased by 13.14%. In addition, Equivalent circuit model (ECM) and volume of fluid (VOF) model were used to simulate the LIC module, and the numerical results are in good agreement with the experimental data. This study provides a systematic design plan and numerical method for the engineering application of LIC in the field of BTMS.

An approach to designing efficient implementation of 30×30 terrestrial conservation commitments

AbstractIn response to biodiversity declines worldwide, over 190 nations committed to protect 30% of their lands and waters by 2030 (hereafter, 30×30). Systematic conservation planning and return on investment analysis can be helpful tools for determining where protection efforts could deliver the most efficient and effective reserve design, and supporting decision‐making when trade‐offs among objectives are required. Here, we propose a framework for efficient “30×30” implementation and apply it to the state of California (USA). Because conservation of a region's full suite of biodiversity is the primary objective of the global initiative, we prioritized representation in our analysis. We used Zonation to identify networks that close the gap in representation of major habitat types in California's protected area network and that also conserve the places important for biodiversity or climate change mitigation. We identified networks that are efficient relative to metrics likely to be important in implementation including land acquisition cost, number of transactions, and conservation benefit per hectare, and we illustrate not only trade‐offs associated with these metrics but also differences in the co‐benefits achieved. Five of the eight major habitat types in California are not currently protected at a 30% level statewide, and if representation was achieved solely through private land acquisition, targets could be met for as little as $5.84 billion, with as few as 364 transactions, or with 2.18 million additional conserved hectares. Implementation of 30×30 will likely require more flexibility than a single network design. A “no regrets” action would be to protect properties that were prioritized across all networks and additional implementation should include properties with characteristics of any of the individual networks. Our analytical framework and implementation guidance can be applied to other geographies and jurisdictions to increase the likelihood of both meeting 30×30 targets and delivering the conservation benefits they aim to secure.

Identifying temperature refuges in Utah using temperature, biota, and habitat data

AbstractUnderstanding where on landscapes to make investments, such as designating protected areas, is a critical component of biodiversity management. Locations for management actions should achieve current management objectives while also having the best chance of continued success in the future. Climate change has the potential to undermine biodiversity management, as it may lead to substantial changes in environmental conditions that are outside local managers' control. Following changes in environmental conditions, areas on the landscape may become unsuitable for the species or habitats that the initial actions were intended to benefit. The potential for local actions to be undermined by global‐scale threats makes it essential to account for and minimize exposure to temperature change. We present a series of analyses identifying priority areas for wildlife and habitat management. We conducted our analyses using a systematic landscape planning approach that identifies areas within species' ranges or current distributions of key habitats that are predicted to be less affected by future temperature change. We used the ranges of 142 animal and 149 plant species identified as species of greatest conservation need (SGCN) together with the distributions of 14 terrestrial and 19 aquatic key habitats in Utah, USA. We measured temperature change in 2 ways: as changes in mean annual temperature between 2020 and the year 2100 (temperature difference) and by quantifying how far a species range or habitat would have to shift to maintain its current temperature envelope (climate velocity). We identified the sub‐watersheds with hydrologic unit code 12 (HUC 12) that collectively encompassed the ranges of our SGCNs and key habitats while minimizing overall exposure to temperature change. These high priority HUC 12s represented areas that were not only hotspots for SGCNs and key habitats but also acted as temperature refugia, where management actions are likely to be robust to temperature change. We hope that our identification of high‐priority HUC 12s will help inform and guide future management actions to improve their long‐term outcomes.

Targeting emotion dysregulation in depression: an intervention mapping protocol augmented by participatory action research

BackgroundDepression is a highly prevalent and often recurrent condition; however, treatment is not always accessible or effective in addressing abnormalities in emotional processing. Given the high prevalence of depression worldwide, identifying and mapping out effective and sustainable interventions is crucial. Emotion dysregulation in depression is not readily amenable to improvement due to the complex, time-dynamic nature of emotion; however, systematic planning frameworks for programs addressing behavioral changes can provide guidelines for the development of a rational intervention that tackles these difficulties. This study proposes an empirical and theoretical art-based emotion regulation (ER) intervention using an integrated approach that combines intervention mapping (IM) with participatory action research (PAR).MethodsWe used the IM protocol to identify strategies and develop an intervention for patients with major depressive disorder (MDD). As applied in this study, IM comprises six steps: (a) determining the need for new treatments and determinants of risk; (b) identifying changeable determinants and assigning specific intervention targets; (c) selecting strategies to improve ER across relevant theories and research disciplines; (d) creating a treatment program and refining it based on consultations with an advisory group; (e) developing the implementation plan and conducting a PAR study to pilot-test it; and (f) planning evaluation strategies and conducting a PAR study for feedback on the initial testing.ResultsFollowing the steps of IM, we developed two frameworks for an art-based ER intervention: an individual and an integrative framework. The programs include four theory- and evidence-based ER strategies aimed mainly at decreasing depressive symptoms and improving ER in patients with MDD. We also developed a plan for evaluating the proposed intervention. Based on our preliminary PAR studies, the intervention was feasible and acceptable for adoption and implementation in primary care settings.ConclusionThe application of IM incorporated with PAR has resulted in an intervention for improving ER in depression. While changing behavior is perceived as a challenging and elaborate task, this method can be useful in offering a clear structure for developing rational interventions. Further refinement is necessary through rigorous research.

Facilitating Integration of Interprofessional Education-related Entrustable Professional Activities into the Medical Curriculum

Abstract In competency-based education, entrustable professional activities (EPAs) play a defining role in developing the competence of students by providing contextual relevance. EPAs aid in the assessment of both cognitive and noncognitive (namely teamwork, leadership, communication skills, professionalism, etc.) attributes of the student. In fact, the inclusion of EPAs targeting interprofessional education (IPE) in the curriculum strengthens collaborative learning. The process of integration of EPAs related to IPE in the medical curriculum requires systematic planning and implementation to encourage collaborative learning and prepare students for medical practice. Assessment of IPE-related competencies using EPAs can be carried out with the help of different methods. In conclusion, EPAs can significantly strengthen the delivery of IPE by promoting collaboration and teamwork. There is an immense need to integrate IPE-related EPAs into the medical curriculum to improve the quality of care and patient-related outcomes.

Research on the Management of College Students' Employment Process Based on the Perspective of "Diagnosis and Reform 8-Character Spiral"

Due to the lack of theoretical guidance, some college students lack systematic and scientific planning and process supervision after setting their own career goals, resulting in wavering temporary employment goals in the later stage, missing the best opportunity for employment, and unable to achieve the optimal choice for employment. This article focuses on the dual supervision of students' goal achievement process and results through the "8-character spiral of diagnosis and reform", using both dynamic and static states. It emphasizes both the "completion time" diagnosis and reform and the "progress time" diagnosis and reform. Among them, the "completion time" diagnostic reform aims to stimulate knowledge innovation, while the "progress time" diagnostic reform aims to achieve real-time regulation.

Systematic Layout Planning to Improve Facility Layout in Small and Medium Food Enterprise

The absence of a structured method for revamping current or introducing new production layouts in small and medium-sized enterprises may hinder the flexibility and competitiveness of the enterprise. This study aimed to assess the existing production layout and offer improvement recommendations for a small and medium-sized food enterprise in East Java, Indonesia. Data was obtained through interviews with the owner and observation at the production site. The research employed systematic layout planning, utilizing activity relationship charts and diagrams. The findings presented two alternative suggestions for the production facility layout, with the study recommending the second alternative based on an evaluation of criteria. The second proposed alternative exhibited a total material handling distance per week of 1,812 and a total material handling cost of 17,961.96 rupiah, lower than the first proposed alternative. The managerial implications of this study pertain to the construction of facilities with a focus on technical and hygiene requirements, the design and layout of buildings and rooms, and the requirements for machinery, equipment, and transportation to ensure product quality and safety.

Global expansion of human-wildlife overlap in the 21st century.

Understanding the extent to which people and wildlife overlap in space and time is critical for the conservation of biodiversity and ecological services. Yet, how global change will reshape the future of human-wildlife overlap has not been assessed. We show that the potential spatial overlap of global human populations and 22,374 terrestrial vertebrate species will increase across ~56.6% and decrease across only ~11.8% of the Earth's terrestrial surface by 2070. Increases are driven primarily by intensification of human population densities, not change in wildlife distributions caused by climate change. The strong spatial heterogeneity of future human-wildlife overlap found in our study makes it clear that local context is imperative to consider, and more targeted area-based land-use planning should be integrated into systematic conservation planning.