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Restoration opportunities beyond highly degraded tropical forests: insights from India's Western Ghats

Authors: Osuri, Anand; Kasinathan, Srinivasan; Raman, T. R. Shankar; Mudappa, Divya;

Restoration opportunities beyond highly degraded tropical forests: insights from India's Western Ghats

Abstract

Tropical rainforest remnants in human-modified landscapes exhibit varying levels of degradation, from highly degraded open-canopied and invasive plant-invaded habitats to closed-canopy forests that appear structurally intact. The former are frequently identified as being in a state of arrested recovery, and targeted for restoration, but restoration needs and opportunities in the latter remain underexplored. Using tree and seedling data from 105 plots spanning a canopy cover gradient in rainforest fragments and 19 plots in relatively intact "reference" rainforests in India's Western Ghats mountains, we show that the floristic composition, conservation significance, and carbon stocks of closed-canopy fragments (CC) more closely resemble open-canopy fragments (OC) than reference rainforests (RR). For example, densities of old-growth forest species, endemic/threatened species, and carbon stocks, increased from 15%, 28%, and 22% of reference values in OC to 32%, 46%, and 35% in CC, respectively, while tree community similarity to RR showed no increase from OC to CC (15%). Seedlings mirrored this pattern, offering little indication of natural recovery in closed-canopy fragments. Further, we show using simulations that seedling enrichment in closed-canopy fragments can initiate varying levels of floristic and functional recovery towards reference targets. Our findings illustrate that seemingly structurally intact tropical rainforest fragments can remain arrested in a floristically degraded condition, and represent worthwhile targets for ecological restoration. Such forests expand opportunities for restoring conservation-priority and high carbon-storing species using relatively low-cost methods (e.g., enrichment planting), which can complement intensive restoration of highly degraded forests and minimally-assisted natural recovery of less-fragmented forests.

Funding provided by: Department of BiotechnologyCrossref Funder Registry ID: https://ror.org/03tjsyq23Award Number: BT/RLF/Re-entry/58/2018 Funding provided by: Shri A.M.M. Murugappa Chettiar Research CentreCrossref Funder Registry ID: https://ror.org/04f6hwk12Award Number: Funding provided by: Cholamandalam Investments and Finance Company*Crossref Funder Registry ID: Award Number: Funding provided by: Rohini Nilekani Philanthropies*Crossref Funder Registry ID: Award Number: Funding provided by: Foundation FrankliniaCrossref Funder Registry ID: http://dx.doi.org/10.13039/100031255Award Number: Funding provided by: Rufford FoundationCrossref Funder Registry ID: https://ror.org/02bxrrf91Award Number: Funding provided by: Arvind Datar*Crossref Funder Registry ID: Award Number: Funding provided by: On the Edge Conservation*Crossref Funder Registry ID: Award Number:

Related Organizations
Keywords

floristic impoverishment, threatened species, Fragmentation, Arrested recovery, carbon storage, Ecological restoration

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average