Spatial distribution and conservation strategy of the Adansonia digitata L. in the conditions of climate change and parasitism by Analeptes trifasciata F. in Togo

Amevivi, Akoda Kossi; Atakpama, Wouyo; Koura, Kourouma; Gouwakinnou, Nounagnon Gérard; Batawila, Komlan; Ganglo, Jean Cossi

doi:10.4467/21995923GP.25.001.22856

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Tytuł artykułu

Spatial distribution and conservation strategy of the Adansonia digitata L. in the conditions of climate change and parasitism by Analeptes trifasciata F. in Togo

Autorzy

Amevivi Akoda Kossi , Atakpama Wouyo , Koura Kourouma , Gouwakinnou Nounagnon Gérard , Batawila Komlan , Ganglo Jean Cossi

Treść / Zawartość

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1. Amevivi_Geoinformatica_Polonica_24_2025.pdf

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Identyfikatory

DOI

10.4467/21995923GP.25.001.22856

Warianty tytułu

Rozmieszczenie przestrzenne i strategia ochrony Adansonia digitata L. w warunkach zmian klimatycznych i pasożytnictwa ze strony Analeptes trifasciata F. w Togo

Języki publikacji

Abstrakty

Baobab (Adansonia digitata L.) is a multiple-use species of high socio-economic importance in tropical Africa. It faces anthropogenic, climatic and parasitic pressures that are likely to affect its sustainability. This study provides new elements for more effective baobab management in the context of climate and global change in Togo. Specifically, it aims to: (i) determine the impact of climate change on the spatial distribution of A. digitata and A. trifasciata, and (ii) identify priority areas for the conservation and sustainable use of A. digitata co-products in the face of climate change and parasitism in Togo. The algorithm based on the maximum entropy of the baobab was developed in order to model potential habitats. Modelling was based on 17 environmental variables and occurrences of A. digitata and its parasite, Analeptes trifasciata in West Africa. The algorithm of maximum entropy (MaxEnt) was used. Forecasts were performed for SSP 126 and SSP 585 scenarios. Habitats were prioritised for conservation by combining current and future models using Zonation software. Currently, A. digitata and to A. trifasciata are predicted to occupy about 80.1 % and 91 % of the Togolese territory, respectively. By 2055, about 50 % of the highly favourable habitat for A. digitata will have been lost due to unfavourable habitat. This decline is greater in the SSP 585 scenario than SSP 126 scenario. It is recommended to implement an integrated pest management strategy and to introduce A. digitata in the most favourable areas, considering the spatial distribution of the parasite. Conservation of A. digitata must take into account areas suitable for its growth, development and reproduction. In situ conservation in agroforestry systems and home gardens should be promoted for the sustainable use of A. digitata by-products in Togo.

Baobab (Adansonia digitata L.) jest wielofunkcyjnym gatunkiem o dużym znaczeniu społeczno-gospodarczym w tropikalnej Afryce. Roślina ta stoi w obliczu antropogenicznej, klimatycznej i pasożytniczej presji, która prawdopodobnie wpłynie na jej długoterminowe przetrwanie. Niniejsza praca dostarcza nowych elementów do bardziej efektywnego zarządzania baobabem w kontekście zmian klimatycznych i globalnych w Togo. W szczególności: (i) zidentyfikowano obecne potencjalne siedliska A. digitata i jego pasożyta A. trifasciata; (ii) oszacowano wpływ zmian klimatycznych na przestrzenne rozmieszczenie A. digitata i A. trifasciata; oraz (iii) określono priorytetowe siedliska dla ochrony i zrównoważonego użytkowania A. digitata w obliczu zmian klimatycznych i ataków pasożyta A. trifasciata w Togo. Modele zostały uruchomione na podstawie 17 zmiennych środowiskowych i punktów występowania A. digitata i A. trifasciata w Afryce Zachodniej, przy użyciu algorytmu maksymalnej entropii (MaxEnt). Prognozy przeprowadzono w ramach scenariuszy SSP 126 i SSP 585. Siedliska chronione zostały uszeregowane priorytetowo poprzez połączenie obecnych i przyszłych modeli przy użyciu oprogramowania Zonation. Przewiduje się, że około 80,1 % terytorium Togo jest obecnie bardzo korzystne dla A. digitata i 91 % dla A. trifasciata. Do 2055 roku około 50 % bardzo korzystnych siedlisk dla A. digitata zostanie utraconych na rzecz niekorzystnych siedlisk. Spadek ten jest większy w przypadku scenariusza SSP 585. Zaleca się wdrożenie zintegrowanej strategii ochrony przed szkodnikami. Sugerowana jest strategia ochrony in situ dla A. digitata uwzględniająca obszary priorytetowe. Należy zachęcać do ochrony circa-situ w systemach rolno-leśnych i ogrodach przydomowych.

Słowa kluczowe

adansonia digitata L. analeptes trifasciata F. habitat sustainable management Togo

adansonia digitata L. analeptes trifasciata F. siedlisko zrównoważone zarządzanie Togo

Wydawca

Polska Akademia Umiejętności

Czasopismo

Geoinformatica Polonica

Rocznik

2025

Tom

T. 24

Strony

7--23

Opis fizyczny

Bibliogr. 64 poz., rys., tab.

Twórcy

autor

Amevivi Akoda Kossi

Forest Sciences Laboratory (LSF), Department of Environmental Planning and Management, Faculty of Agricultural Sciences, University of Abomey-Calavi (UAC), 01 BP 526, Cotonou, Benin
Laboratoire de Botanique et Ecologie Végétale (LBEV), Département de Botanique, Faculté des Sciences (FDS), Université de Lomé (UL), 01 BP 1515, Lomé 1, Togo

https://orcid.org/0009-0007-3526-2966

autor

Atakpama Wouyo

Laboratoire de Botanique et Ecologie Végétale (LBEV), Département de Botanique, Faculté des Sciences (FDS), Université de Lomé (UL), 01 BP 1515, Lomé 1, Togo
West Africa Plant Red List Authority (WAPRLA), IUCN Species Survival Commission, Rue Mauverney 28, 1196 Gland, Switzerland

https://orcid.org/0000-0001-7041-918X

autor

Koura Kourouma

Forest Sciences Laboratory (LSF), Department of Environmental Planning and Management, Faculty of Agricultural Sciences, University of Abomey-Calavi (UAC), 01 BP 526, Cotonou, Benin

https://orcid.org/0000-0002-2243-3152

autor

Gouwakinnou Nounagnon Gérard

Laboratory of Ecology, Botany and Plant Biology (LEB), Faculty of Agronomy, University of Parakou (UP), 03 BP 125, Parakou, Benin

https://orcid.org/0000-0002-3595-9831

autor

Batawila Komlan

Laboratoire de Botanique et Ecologie Végétale (LBEV), Département de Botanique, Faculté des Sciences (FDS), Université de Lomé (UL), 01 BP 1515, Lomé 1, Togo

https://orcid.org/0000-0003-2781-3063

autor

Ganglo Jean Cossi

Forest Sciences Laboratory (LSF), Department of Environmental Planning and Management, Faculty of Agricultural Sciences, University of Abomey-Calavi (UAC), 01 BP 526, Cotonou, Benin

https://orcid.org/0000-0003-4212-6448

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