Paper · 2025 · Revue Ecosystèmes et Paysages

Structure, carbon sequestration potential and anthropogenic pressure on tree species in Porto-Novo's green spaces (Benin)

Godonou Étienne Romaric Adéwalé; Yevide Sedami Igor Armand; Gbesso Gbodja Houéhanou François; et al.

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Open access · cc-by

Abstract

This study assesses the carbon sequestration capacity of urban green spaces in Porto-Novo, Benin, and examines the anthropogenic pressures impacting tree species diversity. A comprehensive inventory of 1,340 trees across 39 selected green spaces revealed a dominance of trees in social and educational institutions (35%), followed by public green spaces (19%). Tree diameter analysis showed a significant variation, with an average diameter ranging from 34.11 cm (street trees) to 79.28 cm (cemeteries), indicating the presence of both young and mature trees. The total aboveground biomass (AGB) was estimated at 2,270.42 Mg, corresponding to 1,299.53 Mg of sequestered carbon. Social and educational institutions contributed the most to carbon storage (484.60 Mg, 37%), followed by public green spaces (236.57 Mg, 18%) and landscaped natural areas (179.82 Mg, 14%). However, anthropogenic pressures severely affect tree health, with 154 cases (53.8%) of bark stripping, mainly on Terminalia superba, Terminalia mantaly, and Khaya senegalensis. Pruning (75 cases) and pollarding (44 cases) also impact tree growth and structure. These findings emphasize the need for sustainable urban planning that integrates biodiversity conservation and effective management strategies to enhance carbon sequestration and urban resilience.

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Claims 15

Observationobservedoriginal resultmeasured

Claim · model-written summary

Trees were most dominant in social and educational institutions, at 35% of the inventoried trees.

Taxon
tree speciest0
Outcome
dominance of treese1
Value
35%e1
Setting
social and educational institutionse1

Verbatim

t0

“tree species”

✓ located verbatim in the source · title, characters 72–84 · show in text ↑
e1

“a dominance of trees in social and educational institutions (35%), followed by public green spaces (19%)”

✓ located verbatim in the source · abstract, characters 255–359 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Public green spaces held 19% of the inventoried trees, after social and educational institutions.

Taxon
tree speciest0
Outcome
dominance of treese1
Value
19%e1
Setting
public green spacese1

Verbatim

t0

“tree species”

✓ located verbatim in the source · title, characters 72–84 · show in text ↑
e1

“a dominance of trees in social and educational institutions (35%), followed by public green spaces (19%)”

✓ located verbatim in the source · abstract, characters 255–359 · show in text ↑
Observationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Average tree diameter varied significantly, with street trees having an average diameter of 34.11 cm.

Taxon
tree speciest0
Outcome
average diametere3
Value
34.11 cme3
Qualifier
street treese3

Verbatim

t0

“tree species”

✓ located verbatim in the source · title, characters 72–84 · show in text ↑
e3

“Tree diameter analysis showed a significant variation, with an average diameter ranging from 34.11 cm (street trees) to 79.28 cm (cemeteries)”

✓ located verbatim in the source · abstract, characters 361–502 · show in text ↑
Observationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Average tree diameter in cemeteries was 79.28 cm, the largest of the compared categories.

Taxon
tree speciest0
Outcome
average diametere3
Value
79.28 cme3
Qualifier
cemeteriese3

Verbatim

t0

“tree species”

✓ located verbatim in the source · title, characters 72–84 · show in text ↑
e3

“Tree diameter analysis showed a significant variation, with an average diameter ranging from 34.11 cm (street trees) to 79.28 cm (cemeteries)”

✓ located verbatim in the source · abstract, characters 361–502 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Total aboveground biomass of the inventoried trees was estimated at 2,270.42 Mg.

Taxon
tree speciest0
Outcome
total aboveground biomass (AGB)e4
Value
2,270.42 Mge4

Verbatim

t0

“tree species”

✓ located verbatim in the source · title, characters 72–84 · show in text ↑
e4

“The total aboveground biomass (AGB) was estimated at 2,270.42 Mg, corresponding to 1,299.53 Mg of sequestered carbon”

✓ located verbatim in the source · abstract, characters 560–676 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

The inventoried trees sequestered 1,299.53 Mg of carbon.

Taxon
tree speciest0
Outcome
sequestered carbone4
Value
1,299.53 Mge4

Verbatim

t0

“tree species”

✓ located verbatim in the source · title, characters 72–84 · show in text ↑
e4

“The total aboveground biomass (AGB) was estimated at 2,270.42 Mg, corresponding to 1,299.53 Mg of sequestered carbon”

✓ located verbatim in the source · abstract, characters 560–676 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Social and educational institutions contributed the most carbon storage, 484.60 Mg (37%).

Taxon
tree speciest0
Outcome
carbon storagee5
Value
484.60 Mg, 37%e5
Setting
Social and educational institutionse5

Verbatim

t0

“tree species”

✓ located verbatim in the source · title, characters 72–84 · show in text ↑
e5

“Social and educational institutions contributed the most to carbon storage (484.60 Mg, 37%), followed by public green spaces (236.57 Mg, 18%) and landscaped natural areas (179.82 Mg, 14%)”

✓ located verbatim in the source · abstract, characters 678–865 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Public green spaces stored 236.57 Mg of carbon (18%), the second-largest share.

Taxon
tree speciest0
Outcome
carbon storagee5
Value
236.57 Mg, 18%e5
Setting
public green spacese5

Verbatim

t0

“tree species”

✓ located verbatim in the source · title, characters 72–84 · show in text ↑
e5

“Social and educational institutions contributed the most to carbon storage (484.60 Mg, 37%), followed by public green spaces (236.57 Mg, 18%) and landscaped natural areas (179.82 Mg, 14%)”

✓ located verbatim in the source · abstract, characters 678–865 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Landscaped natural areas stored 179.82 Mg of carbon (14%).

Taxon
tree speciest0
Outcome
carbon storagee5
Value
179.82 Mg, 14%e5
Setting
landscaped natural arease5

Verbatim

t0

“tree species”

✓ located verbatim in the source · title, characters 72–84 · show in text ↑
e5

“Social and educational institutions contributed the most to carbon storage (484.60 Mg, 37%), followed by public green spaces (236.57 Mg, 18%) and landscaped natural areas (179.82 Mg, 14%)”

✓ located verbatim in the source · abstract, characters 678–865 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Bark stripping affected 154 trees (53.8% of the recorded damage cases), mainly on Terminalia superba, Terminalia mantaly and Khaya senegalensis.

Taxon
tree speciest0
Outcome
bark strippinge6
Value
154 cases (53.8%)e6
Qualifier
mainly on Terminalia superba, Terminalia mantaly, and Khaya senegalensise6

Verbatim

t0

“tree species”

✓ located verbatim in the source · title, characters 72–84 · show in text ↑
e6

“154 cases (53.8%) of bark stripping, mainly on Terminalia superba, Terminalia mantaly, and Khaya senegalensis”

✓ located verbatim in the source · abstract, characters 934–1043 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Pruning was recorded in 75 cases on the inventoried trees.

Taxon
tree speciest0
Outcome
Pruninge7
Value
75 casese7

Verbatim

t0

“tree species”

✓ located verbatim in the source · title, characters 72–84 · show in text ↑
e7

“Pruning (75 cases) and pollarding (44 cases) also impact tree growth and structure”

✓ located verbatim in the source · abstract, characters 1045–1127 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Pollarding was recorded in 44 cases on the inventoried trees.

Taxon
tree speciest0
Outcome
pollardinge7
Value
44 casese7

Verbatim

t0

“tree species”

✓ located verbatim in the source · title, characters 72–84 · show in text ↑
e7

“Pruning (75 cases) and pollarding (44 cases) also impact tree growth and structure”

✓ located verbatim in the source · abstract, characters 1045–1127 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Pruning and pollarding affect tree growth and structure.

Taxon
tree speciest0
Treatment
Pruninge7
Outcome
tree growth and structuree7

Not reportedDirection

Verbatim

t0

“tree species”

✓ located verbatim in the source · title, characters 72–84 · show in text ↑
e7

“Pruning (75 cases) and pollarding (44 cases) also impact tree growth and structure”

✓ located verbatim in the source · abstract, characters 1045–1127 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Anthropogenic pressures severely affect tree health.

Taxon
tree speciest0
Treatment
anthropogenic pressurese1
Outcome
tree healthe1

Not reportedDirection

Verbatim

t0

“tree species”

✓ located verbatim in the source · title, characters 72–84 · show in text ↑
e1

“anthropogenic pressures severely affect tree health”

✓ located verbatim in the source · abstract, characters 876–927 · show in text ↑
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

The authors recommend sustainable urban planning that integrates biodiversity conservation and management to enhance carbon sequestration and urban resilience.

Taxon
tree speciest0
Outcome
sustainable urban planninge1

Verbatim

t0

“tree species”

✓ located verbatim in the source · title, characters 72–84 · show in text ↑
e1

“These findings emphasize the need for sustainable urban planning that integrates biodiversity conservation and effective management strategies to enhance carbon sequestration and urban resilience”

✓ located verbatim in the source · abstract, characters 1129–1324 · show in text ↑