Project Preparation: Threat Assessment for Protected Areas in Honduras
Andreas Petutschnig
2023-10-06
Last updated: 2023-10-06
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Knit directory: mapme.protectedareas/
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Introduction
The following analysis is intented to support a peer-discussion on the threat level of protected areas (short: PAs) in northern Honduras. The goal of this exercise is to assist KfW and its partners in the project preparation phase. In addition, information about the current portfolio and its relevance to protect the most threatened areas can be derived.
We analyse the changes in forest coverage, mangrove coverage and land cover classes of the areas.
The analysis uses the publicly available data from the World Database of Protected Areas (WDPA/IUCN) 1 as outlines. Mangrove coverage data is obtained from the Global Mangrove Watch 2, forest coverage data is obtained from the Global Forest Watch 3 and land cover data from the ESA land cover data 4.
Overview Map
Land Cover changes
The land cover change plots show a lot of different classes on limited space and are therefore hard to distinguish.
To make it easier to interpret the actual numbers, we also include the tabular raw data. The following table lists all land cover classes detected between 2017 and 2019. The Nucleo column indicates, whether a line represents the core zone of a PA or the surrounding area. The column difference_ha shows the absolute area difference of a class between 2017 and 2019. You can interact with the table by clicking on the column titles or typing phrases into the search box. You can also download the data as xlsx or CSV file to use it in a tool of your choice.
Plots
Barras de Cuero y Salado
Capiro y Calentura
Cuyamel
Islas de la Bahia
Omoa
Pico Bonito
Texiguat
Overview Map – Forest and Mangrove Coverage
To explore the changes in forest and mangrove coverage as reported by GFW and GMW, respectively, you can click on a region of your choice, which shows the two time series as a plot.
sessionInfo()R version 4.3.1 (2023-06-16 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19044)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.utf8
[2] LC_CTYPE=English_United States.utf8
[3] LC_MONETARY=English_United States.utf8
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.utf8
time zone: Europe/Berlin
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] purrr_1.0.2 sf_1.0-14 scales_1.2.1
[4] reshape2_1.4.4 plotly_4.10.2 ggplot2_3.4.3
[7] mapme.biodiversity_0.4.0 magrittr_2.0.3 leafpop_0.1.0
[10] leaflet.extras2_1.2.2 leaflet.extras_1.0.0 leaflet_2.1.2
[13] htmltools_0.5.6 dplyr_1.1.2
loaded via a namespace (and not attached):
[1] tidyselect_1.2.0 viridisLite_0.4.2 farver_2.1.1
[4] fastmap_1.1.1 lazyeval_0.2.2 promises_1.2.1
[7] digest_0.6.33 lifecycle_1.0.3 ellipsis_0.3.2
[10] terra_1.7-39 smoothr_1.0.1 compiler_4.3.1
[13] rlang_1.1.1 sass_0.4.7 tools_4.3.1
[16] utf8_1.2.3 yaml_2.3.7 data.table_1.14.8
[19] knitr_1.43 labeling_0.4.3 brew_1.0-8
[22] htmlwidgets_1.6.2 classInt_0.4-10 curl_5.0.2
[25] plyr_1.8.8 KernSmooth_2.23-22 workflowr_1.7.1
[28] withr_2.5.0 grid_4.3.1 fansi_1.0.4
[31] git2r_0.32.0 e1071_1.7-13 colorspace_2.1-0
[34] future_1.33.0 progressr_0.14.0 globals_0.16.2
[37] cli_3.6.1 rmarkdown_2.24 generics_0.1.3
[40] rstudioapi_0.15.0 httr_1.4.7 DBI_1.1.3
[43] cachem_1.0.8 proxy_0.4-27 stringr_1.5.0
[46] parallel_4.3.1 base64enc_0.1-3 vctrs_0.6.3
[49] jsonlite_1.8.7 listenv_0.9.0 systemfonts_1.0.4
[52] crosstalk_1.2.0 tidyr_1.3.0 jquerylib_0.1.4
[55] units_0.8-4 lwgeom_0.2-13 glue_1.6.2
[58] parallelly_1.36.0 codetools_0.2-19 leaflet.providers_1.13.0
[61] DT_0.29 stringi_1.7.12 gtable_0.3.4
[64] later_1.3.1 munsell_0.5.0 tibble_3.2.1
[67] pillar_1.9.0 furrr_0.3.1 R6_2.5.1
[70] rprojroot_2.0.3 evaluate_0.21 highr_0.10
[73] httpuv_1.6.11 bslib_0.5.1 class_7.3-22
[76] Rcpp_1.0.11 uuid_1.1-1 svglite_2.1.1
[79] whisker_0.4.1 xfun_0.40 fs_1.6.3
[82] pkgconfig_2.0.3 UNEP-WCMC and IUCN (2022), Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM) [Online], February 2022, Cambridge, UK: UNEP-WCMC and IUCN. Available at: www.protectedplanet.net.↩︎
“Bunting, P.; Rosenqvist, A.; Hilarides, L.; Lucas, R.M.; Thomas, T.; Tadono, T.; Worthington, T.A.; Spalding, M.; Murray, N.J.; Rebelo, L-M. Global Mangrove Extent Change 1996 – 2020: Global Mangrove Watch Version 3.0. Remote Sensing. 2022”↩︎
“Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, S. V. Stehman, S. J. Goetz, T. R. Loveland, A. Kommareddy, A. Egorov, L. Chini, C. O. Justice, and J. R. G. Townshend. 2013. “High-Resolution Global Maps of 21st-Century Forest Cover Change.” Science 342 (15 November): 850–53. Data available on-line from: http://earthenginepartners.appspot.com/science-2013-global-forest.”↩︎
“ESA. Land Cover CCI Product User Guide Version 2. Tech. Rep. (2017). Available at: maps.elie.ucl.ac.be/CCI/viewer/download/ESACCI-LC-Ph2-PUGv2_2.0.pdf”↩︎