Spatiotemporal Variability of Climatic Factors in Response to Vegetation Cover Change In Bangladesh

Spatiotemporal Variability of Climatic Factors in Response to Vegetation Cover Change In Bangladesh | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Spatiotemporal Variability of Climatic Factors in Response to Vegetation Cover Change In Bangladesh Reshma Afroz Rimi, S. M. Nawshad Hossain This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3894994/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Climate change and its impact on environment is become the hot topic in the world. Bangladesh is a highly populated developing and agro-based economic country. Impact of several climatic factors such as rainfall, air temperature, humidity on agriculture is immense. But changes found in the trend of these climatic factors in here. This research aimed to detect the trend of three climatic factors, rainfall, temperature, and humidity over last 42 years (1981–2022) and along this, to explore the relation between vegetation coverage and climatic factors. The entire analysis is conducted for Upazilla level in Bangladesh. Maan-Kendal Test and Sen slope estimation is followed to detect the trend of three climatic factors and multiple regression model, Geographically Weighted Regression (GWR) Model and Ordinary Least Square (OLS) Regression Model is applied to explore the relationship between vegetation coverage and climatic factors. Positive trend is found for rainfall (24–147 mm/year) and humidity (0.16% − 0.47%) but negative trend is detected for temperature (− 0.03 to 0.00 ℃) for some Upazilla in Bangladesh. By GWR model, ranges of very weak to weak influence of vegetation coverage on the climatic factors are found for most of the Upazilla in Bangladesh. From the results of OLS, very strong correlation is found between the change rate of vegetation coverage and climatic factors for most of the Upazilla in Bangladesh especially the Upazilla of Sylhet and Chittagong Division. As Upazilla Master Plan is initiated in Bangladesh for each Upazilla, the outcomes of this research will help the policy makers to take the suitable plan for environment as well as agricultural development for each Upazilla through which sustainable development can be ensured. Climate Change Maan-Kendall Test Sen Slope Estimation Geographically Weighted Regression Ordinary Least Square NDVI Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3894994","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":269329397,"identity":"3f5a9b31-5c9e-489e-928e-78ddbdcf22e5","order_by":0,"name":"Reshma Afroz Rimi","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9klEQVRIiWNgGAWjYHACNhDBDyIO/6gAkszMDURpkQQqY3zMcAakhZF4LczGjG0gNgEt5u3tzx7dqLGTADGkC+fVRvO3A7X8qNiGU4vMmTPmxjnHkiVkzhxIk5657XjujMOMDYw9Z27j1CIhkcMmncPGXCchkXBMgnfbsdwGoBZmxjY8WuSfP5PO+VcvISGR2CbBO+dY7nyCWiQYzKRz2w4DtSQzG/M21ORuIKiFJweope+4hATPMcaHM44dyN0I1HIQr1/YjwMd9q1aQoK9/cGBDzV1ufPOHz744EcFbi3o4DCYPEC0eiCoI0XxKBgFo2AUjBAAAKyDV08+jOjwAAAAAElFTkSuQmCC","orcid":"","institution":"Jahangirnagar University","correspondingAuthor":true,"prefix":"","firstName":"Reshma","middleName":"Afroz","lastName":"Rimi","suffix":""},{"id":269329398,"identity":"3fca9cb9-c070-45b3-b551-05c8adb21c8c","order_by":1,"name":"S. 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Bangladesh is a highly populated developing and agro-based economic country. Impact of several climatic factors such as rainfall, air temperature, humidity on agriculture is immense. But changes found in the trend of these climatic factors in here. This research aimed to detect the trend of three climatic factors, rainfall, temperature, and humidity over last 42 years (1981\u0026ndash;2022) and along this, to explore the relation between vegetation coverage and climatic factors. The entire analysis is conducted for Upazilla level in Bangladesh. Maan-Kendal Test and Sen slope estimation is followed to detect the trend of three climatic factors and multiple regression model, Geographically Weighted Regression (GWR) Model and Ordinary Least Square (OLS) Regression Model is applied to explore the relationship between vegetation coverage and climatic factors. Positive trend is found for rainfall (24\u0026ndash;147 mm/year) and humidity (0.16% \u0026minus;\u0026thinsp;0.47%) but negative trend is detected for temperature (\u0026minus;\u0026thinsp;0.03 to 0.00 ℃) for some Upazilla in Bangladesh. By GWR model, ranges of very weak to weak influence of vegetation coverage on the climatic factors are found for most of the Upazilla in Bangladesh. From the results of OLS, very strong correlation is found between the change rate of vegetation coverage and climatic factors for most of the Upazilla in Bangladesh especially the Upazilla of Sylhet and Chittagong Division. As Upazilla Master Plan is initiated in Bangladesh for each Upazilla, the outcomes of this research will help the policy makers to take the suitable plan for environment as well as agricultural development for each Upazilla through which sustainable development can be ensured.\u003c/p\u003e","manuscriptTitle":"Spatiotemporal Variability of Climatic Factors in Response to Vegetation Cover Change In Bangladesh","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-01-30 06:41:26","doi":"10.21203/rs.3.rs-3894994/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"58200377-eb96-4f4f-acb5-2572d1af5148","owner":[],"postedDate":"January 30th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-08-18T12:47:15+00:00","versionOfRecord":[],"versionCreatedAt":"2024-01-30 06:41:26","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-3894994","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3894994","identity":"rs-3894994","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}