uid=NTL,o=EDI,dc=edirepository,dc=org all public read Dr Vladimir Ruslan Wingate Universit**t Bern Postdoc Hallerstrasse 12 3012 Bern vladimir.wingate@giub.unibe.ch https://www.geography.unibe.ch/about_us/personen/ 0000-0002-2492-078X Dr Vladimir Ruslan Wingate Universit**t Bern Postdoc vladimir.wingate@giub.unibe.ch 0000-0002-2492-078X Ifejika Speranza Universit**t Bern Professor chinwe.ifejika.speranza@unibe.ch 0000-0003-1927-7635 PI The aim of this dataset is to inventory and characterise the current extent and change of remnant forest patches of West Africa, using multi-source remote sensing products, time-series analyses, and ancillary datasets. Specifically, we collate and analyse descriptive and change metrics to provide estimates of fragment size, age, biophysical conditions, and relation to social-ecological change drivers, which together provide novel insights into forest fragment change dynamics for over four decades. We map forests patches outside protected areas with a tree cover ***30%, a tree height of ***5 m, an area *** 0.5 ha and ***10 km2. remote sensing LTER Controlled Vocabulary forest fragmentation forest patches forest change forest invenotry This data package is released to the "public domain" under Creative Commons CC0 1.0 "No Rights Reserved" (see: https://creativecommons.org/publicdomain/zero/1.0/). It is considered professional etiquette to provide attribution of the original work if this data package is shared in whole or by individual components. A generic citation is provided for this data package on the website https://portal.edirepository.org (herein "website") in the summary metadata page. Communication (and collaboration) with the creators of this data package is recommended to prevent duplicate research or publication. This data package (and its components) is made available "as is" and with no warranty of accuracy or fitness for use. The creators of this data package and the website shall not be liable for any damages resulting from misinterpretation or misuse of the data package or its components. Periodic updates of this data package may be available from the website. Thank you. Togo, Benin, Nigeria, and Cameroon 1.616174 16.061892 9.472187 1.616174 2021-01-01 2022-01-01 No planned maintenance unknown Dr Vladimir Ruslan Wingate Universit**t Bern Postdoc Hallerstrasse 12 Bern 3012 Switzerland vladimir.wingate@giub.unibe.ch https://www.geography.unibe.ch/about_us/personen/ 0000-0002-2492-078X See: citation: Wingate, V.R.; Akinyemi, F.O.; Iheaturu, C.J.; Ifejika Speranza, C. A Remote Sensing-Based Inventory of West Africa Tropical Forest Patches: A Basis for Enhancing Their Conservation and Sustainable Use. Remote Sens. 2022, 14, 6251. https://doi.org/10.3390/rs14246251 Wingate Universit**t Bern Postdoc vladimir.wingate@giub.unibe.ch 0000-0002-2492-078X Creator Forest patches in the fragmented agricultural landscapes of West Africa provide key Ecosystem Services and are crucial for local populations well-being. However, these forest patches are under heavy pressure and prone to further degradation. Yet, the forest patches have received little research attention. Thus, it is crucial to generate knowledge about their sustainable management. The SUSTAINFORESTS project analyses the interactive roles of forest patches in the agricultural landscapes of the rainforest and forest zones in Togo, Benin, Nigeria, and Cameroon. In addition, it investigate the conditions under which various biophysical, socio-cultural, economic, and institutional factors, including decision-making and land users*** behaviour, interact with and affect forest patches and their sustainable use, management, and governance. patchDynamics_WA_070222_final_version_Submission_to_MDPI_Remote_Sensing An inventory of the current extent and change of remnant forest patches of West Africa, using multi-source remote sensing products, time-series analyses, and ancillary datasets. We collate and analyse descriptive and change metrics to provide estimates of fragment size, age, biophysical conditions, and relation to social-ecological change drivers, which together provide novel insights into forest fragment change dynamics for over four decades. patchDynamics_WA_070222_final_version_Submission_to_MDPI_Remote_Sensing.csv 1050275 0da87b34cc842d8066dc48fbec32947b 1 \r\n column , " https://ezeml.edirepository.org/user-data/Vladimir_Wingate-3e7ce6544e91cfcf9993fb2105cabe2d/uploads/SUSTAINFORESTS/patchDynamics_WA_070222_final_version_Submission_to_MDPI_Remote_Sensing.csv labels labels An object-based algorithm assigned each forest patch a unique identifier number float number integer NA NA Biome Biome RESOLVE Biomes string Mangroves RESOLVE Ecoregions Montane Grasslands & Shrublands RESOLVE Ecoregions Tropical & Subtropical Grasslands, Savannas & Shrublands RESOLVE Ecoregions Tropical & Subtropical Moist Broadleaf Forests RESOLVE Ecoregions NA NA Country Country Country string Benin Country Cameroon Country Central African Republic Country Chad Country Congo Country Nigeria Country Togo Country NA NA Admin Admin Administrative regoin string text NA NA Region Region West Africa string West_Africa Region NA NA D_water D_water Euclidean distance to water float meter real NA NA D_roads D_roads Euclidean distance to roads float meter real NA NA Lat_DD Lat_DD Latitude decimal degrees float decimal degree real NA NA Long_DD Long_DD Longitude decimal degrees float decimal degree real NA NA area_m area_m Patch size float meterSquared real NA NA gHM gHM global human modification gradient float global human modification gradient real NA NA treeheight treeheight Tree height float meter real NA NA treecover treecover percentage tree cover float percentage tree cover real NA NA mask mask Forest patch/non-Forest patch mask string 1 Mask value NA NA P_forest P_forest Primary forest float Mask real NA NA gain_area gain_area Forest gain area float meterSquared real NA NA loss_area loss_area Forest loss area float meterSquared real NA NA MannKendal MannKendal MannKendal trend statistic float MannKendal trend statistic real NA NA TheilSen TheilSen TheilSen trend statistic float TheilSen trend statistic real Na NA no 3924 longitude decimal degrees Managing the middle: A shift in conservation priorities based on the global human modification gradient percentage tree cover (2000) Hansen et al. (2013) Article: Ongoing primary forest loss in Brazil, Democratic Republic of the Congo, and Indonesia See Wingate et al. (2022) See Wingate et al. (2022)